<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Gates Open Res</journal-id>
            <journal-title-group>
                <journal-title>Gates Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2572-4754</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/gatesopenres.13231.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Growth monitoring and mortality risk in low birthweight infants: a birth cohort study in Burkina Faso</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Mwangome</surname>
                        <given-names>Martha</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4806-1307</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ngari</surname>
                        <given-names>Moses</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bahwere</surname>
                        <given-names>Paluku</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kabore</surname>
                        <given-names>Patrick</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>McGrath</surname>
                        <given-names>Marie</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Berkley</surname>
                        <given-names>James A.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Clinical, KEMRI/Wellcome Trust Research Program, Kilifi, Kilifi, 80108, Kenya</aff>
                <aff id="a2">
                    <label>2</label>The Childhood Acute Illness and Nutrition Network,, CHAIN, Nairobi, P.O Box 43640-00100,, Kenya</aff>
                <aff id="a3">
                    <label>3</label>School of Public Health, Center of Research in Epidemiology Biostatistics and Clinical Research,, Universit&#x00e9; Libre de Bruxelles,, Brussels,, Belgium, Belgium</aff>
                <aff id="a4">
                    <label>4</label>Valid International, N/A, 35 Leopold Street, Oxford,, Oxford, OX4 1TW,, UK</aff>
                <aff id="a5">
                    <label>5</label>Africa Regional office,, World Health Organisation,, Brazzaville,, Republic of Congo, Congo</aff>
                <aff id="a6">
                    <label>6</label>Emergency Nutrition Network, (ENN),, 32, Leopold Street,Oxford, OX4 1PX,, Oxford, UK</aff>
                <aff id="a7">
                    <label>7</label>Centre for Clinical Vaccinology &amp; Tropical Medicine, University of Oxford,, Churchill Hospital Old Road,, Headington Oxford, OX3 7LE, UK</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:mmwangome@kemri-wellcome.org">mmwangome@kemri-wellcome.org</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>13</day>
                <month>5</month>
                <year>2021</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2021</year>
            </pub-date>
            <volume>5</volume>
            <elocation-id>82</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>14</day>
                    <month>4</month>
                    <year>2021</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Mwangome M et al.</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://gatesopenresearch.org/articles/5-82/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Wasting and underweight in infancy is an increasingly recognised problem but consensus on optimum assessment is lacking.  In particular, there is uncertainty on how to interpret anthropometr
                    <italic toggle="yes">y</italic> 
                    <italic toggle="yes">among low birth weight (LBW) infants who may be growing normally. This</italic> research aim
                    <italic toggle="yes">ed</italic> to determine growth of infants from birth to two months (around age of vaccination) and the mortality risk of underweight LBW infants compared to normal birth weight (NBW) infants at two and six months age.</p>
                <p>
                    <bold>Methods:</bold> A secondary analysis of a birth cohort of 1103 infants in Burkina Faso was conducted. Anthropometry was performed monthly from 0 to 12 months. We assessed associations with mortality using Cox proportional hazards models and assessed discriminatory values using area under receiver operating characteristics curves.</p>
                <p>
                    <bold>Results:</bold> Eighty-six (7.8%) children died by age one year, 26/86 (30%) and 51/86 (59%) within two and six months, respectively. At age two months, weight gain since birth did not better discriminate mortality risk than current weight-for-age (P=0.72) or mid-upper arm circumference (P=0.21). In total, 227 (21%) LBW infants had increased risk of mortality: adjusted hazards ratio (aHR) 3.30 (95%CI 2.09 to 4.90).  Among infants who were underweight at two and six months, LBW infants (64% and 49%, respectively) were not at reduced risk of death compared to NBW infants (aHR 2.63 (95%CI 0.76 to 9.15) and 2.43 (95%CI 0.74 to 7.98), respectively).</p>
                <p>
                    <bold>Conclusion:</bold> Assessing weight gain since birth does not offer advantages over immediate anthropometry for discriminating mortality risk. LBW infants who are later identified as underweight require care to help prevent mortality.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Low birthweight</kwd>
                <kwd>Infants</kwd>
                <kwd>Anthropometry</kwd>
                <kwd>Growth</kwd>
                <kwd>Mortality</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100000265">
                    <funding-source>Medical Research Council</funding-source>
                    <award-id>MR/R002738/1</award-id>
                </award-group>
                <award-group id="fund-2" xlink:href="http://www.gatesfoundation.org">
                    <funding-source>Gates Foundation</funding-source>
                    <award-id>INV-009546</award-id>
                </award-group>
                <award-group id="fund-3" xlink:href="http://dx.doi.org/10.13039/100009099">
                    <funding-source>Irish Aid</funding-source>
                    <award-id>HQPU/2018/ENN</award-id>
                </award-group>
                <funding-statement>Irish Aid funding grant number HQPU/2018/ENN, Health Systems Research Initiative- Foundation grant number MR/R002738/1 and Bill and Melinda Gates grant number (OPP1131320). </funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec>
            <title>Abbreviations</title>
            <p>LAZ &#x2013; Length-for-age Z score; LBW &#x2013; Low birth weight; LMIC -Low- and middle-income countries; MUAC &#x2013; Mid-upper arm circumference; NBW &#x2013; Normal birth weight; SAM &#x2013; Severe acute malnutrition; u6m &#x2013; Under 6 months; WLZ &#x2013; Weight-for-length Z score; WAZ &#x2013; Weight-for-age Z score; MAMI &#x2013; Management of At risk Mothers and Infants</p>
        </sec>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Infancy is the period of fastest relative growth; on average, a normally growing infant more than doubles their birth weight in the first six months of life :The WHO Child Growth Standards 2006: [Available from: 
                <ext-link ext-link-type="uri" xlink:href="http://www.who.int/childgrowth/standards/en/">http://www.who.int/childgrowth/standards/en/</ext-link>]. In early infancy, apparent wasting or underweight may occur due to growth faltering and/or as a result of having been born preterm, low birth weight (LBW) or small for gestational age
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>.</p>
            <p>The global prevalence of LBW is 15%, representing more than 20 million infants, 91% of whom are in low and middle-income countries (LMICs)
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. In LMICs, birthweight and subsequent anthropometry in infancy and childhood are predictive of both short and longer-term mortality
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. Studies report ongoing extra-uterine weight and length restriction and reduced physical strength through to adolescence following LBW compared to normal birth weight (NBW) infants
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. The rate of infant growth irrespective of birth weight is influenced by nutritional intake, absorption and assimilation of nutrients, nutrient losses due to infection, other acute or chronic diseases, and genetic or epigenetic predisposition
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>.</p>
            <p>High-quality growth references standards exist for preterm infants from the INTERGROWTH-21
                <sup>st</sup> study
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. However, information on gestational age is often unavailable or unreliable in LMICs, hence WHO growth standards are usually applied to all infants irrespective of birth size. In growth monitoring or nutrition programs, LBW babies may be classified as underweight or wasted whilst having a normal (preterm) growth velocity tracking lower percentiles or &#x2018;catching up&#x2019;. Anthropometric indicators such as weight-for-length Z score (WLZ) and mid-upper arm circumference (MUAC) identify a large proportion of infants with a history of LBW. For example, in  Kenya, 43% of ill hospitalized malnourished infants under six months old had a history of small size at birth
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>, while in India, LBW was a strong predictor of severe wasting among infants below the age of six months
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>.</p>
            <p>Thus, there is uncertainty among health workers regarding interpretation of anthropometry in LBW infants, with low expectations of growth in LBW infants common and &#x201c;slow&#x201d; and potentially &#x201c;poor&#x201d; growth in infants (underweight) regarded as acceptable
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. Additionally, practitioners target catch up growth of LBW infants to that of peers and assume that mortality risk is resolved among LBW infants who are no longer classified as undernourished
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. There are also concerns for potential future health risks associated with accelerated weight gain
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>,
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. Whether and how to intervene on undernourished LBW infants has implications for health system workload and costs. Consequently, to evaluate risks associated with anthropometry and types of interventions needed, birthweight may need to be considered during anthropometric assessment in infancy. In practice, vaccination at around two months of age is an established opportunity to assess growth and to intervene.</p>
            <p>Given this background, we examined data from a birth cohort to compare the discriminatory value for mortality for anthropometry at birth and changes from birth to the following timepoints in infancy:  i) at two months of age which is around the time of infant immunisations; and ii) at six months of age. We also investigated overall mortality risk among LBW infants and whether among infants with low anthropometric values measured at two and six months of age, LBW was associated with lower risk of subsequent mortality.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Study site</title>
                <p>Data utilized for this secondary analysis was from a birth cohort within Barsalogho Health District, part of the Kaya Health Region in Central North Burkina Faso. It was collected between 1
                    <sup>st</sup> April and 31
                    <sup>st</sup> December of 2004 in four health centers, including Barsalogho, Basma, Dablo, and Foub&#x00e9;. Though old, the dataset is valuable because it contains follow-up data of an untreated infant cohort, which would be difficult to generate at the present time. An untreated cohort offer a more natural experience of growth patterns within the study population. Additional details on the study site can be found in a previous publication
                    <sup>
                        <xref ref-type="bibr" rid="ref-3">3</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Study population and design</title>
                <p>The study cohort recruited pregnant women in their third trimester attending scheduled antenatal care visits. The objective of the original study was to compare survival in infancy of full-term LBW infants to that of full-term NBW infants
                    <sup>
                        <xref ref-type="bibr" rid="ref-12">12</xref>,
                        <xref ref-type="bibr" rid="ref-13">13</xref>
                    </sup>. In this secondary analysis, we included data from all live births within the cohort. Follow-up was from birth to 12 months of age through scheduled monthly clinic visits.</p>
            </sec>
            <sec>
                <title>Variables</title>
                <p>The main outcome of interest was mortality confirmed through hospital records or burial permits/death certificates. Deaths were included in this analysis if they occurred within the first year of life. Anthropometry was collected monthly from birth up to 12 months of age. Exposures examined were anthropometry at birth and ages two and six months (weight (kg), MUAC (cm) and length (cm)) and demographic factors.</p>
            </sec>
            <sec>
                <title>Data source/measurements</title>
                <p>Both the caregiver and infant demographics and anthropometric measurements were collected at birth, usually within two hours for health facility birth and 48 hours for births in the community by a trained community health worker. MUAC in centimetres were measured with a non-stretch measuring tape to the nearest one mm. An electronic scale (Seca 825 Birmingham, UK) was used to measure weight in kilograms. Length in centimetres were measured using an infantometer (Seca 416, Birmingham, UK). Anthropometric z-scores were calculated using WHO (2006) reference WHO; WHO growth standards STATA macro 2011 [Available from: 
                    <ext-link ext-link-type="uri" xlink:href="http://www.who.int/childgrowth/software/en/">http://www.who.int/childgrowth/software/en/</ext-link>]. Underweight was defined as weight-for-age z-score (WAZ) &lt;-2. LBW was defined as &lt;2.5kg.</p>
            </sec>
            <sec>
                <title>Study size</title>
                <p>The parent birth cohort recruited 1103 infants. This secondary analysis included all the 1103 infants. With 1103 infants provide a 7.8% probability of death in one year, a two-sided alpha level of 0.05, the study had power &gt;90% to estimate adjusted hazard ratio of &#x2265;2.25 of LBW associated with death and with power &gt;80% to estimate similar hazard ratio from month two.</p>
                <p>Even though the secondary analysis included all the 1103 infants, analyses at different time points used varying number of infants who were alive and in follow-up at the respective time-points.</p>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>Infant anthropometric measurements were summarised as means and standard deviation. Maternal age was reported as median and interquartile range. To estimate hazards ratios for death associated with anthropometry, we used Cox proportional hazards regression adjusted for features presumed to have biological association with anthropometry such as sex, birth weight, prematurity and being a twin. To account for unobserved shared risk or heterogeneity between the four sites, we used shared gamma frailty model. We assessed proportional hazard assumption using the Schoenfeld residuals.</p>
                <p>To test the discrimination of mortality risks from month two to twelve months of age by anthropometric measurements at birth, at month two and the change between birth and month two measurements, we estimated the area under receiver operating characteristics curves (AUC). We used the STATA version 15.1 &#x201c;
                    <italic toggle="yes">roccomp&#x201d;</italic> command to test the hypothesis that the AUCs were equal by comparing AUCs from a single time-point (month 2) with the change from birth to month two.</p>
                <p>We examined differences in WAZ, and proportion of infants underweight at month two stratified by birth weight and used an independent t-test to test for differences in WAZ between infants born NBW and LBW.</p>
            </sec>
            <sec>
                <title>Ethical considerations</title>
                <p>The original birth cohort was approved by the Ministry of Health of Burkina Faso (approval number: 1014) in 2003 in accordance with national procedure. All study participants provided written consent to take part in the original study. All data were anonymized before being shared for this analysis.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Cohort characteristics</title>
                <p>The parent birth cohort recruited 1103 infants, 570 (52%) males and 533 (48%) females. A total 492 (45%) of the infants were born in a health facility, 432 (39%) at home assisted by a community birth attendant and 179 (16%) not assisted by a community birth attendant. The median (IQR) gestation age was 39 (38 to 40) weeks, and 62 (5.6%) were born premature. The mean (sd) birth weight and WAZ were 2.8 (0.5) kg and -1.4 (1.6) Z, respectively (
                    <xref ref-type="table" rid="T1">Table 1</xref>). Of the 1103 infants, 227 (21% (95% CI 18 to 23%)) were born LBW.</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>Participants characteristics at birth.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th colspan="1" rowspan="1"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">All infants 
                                    <break/>(N=1,103)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">NBW
                                    <break/> infants
                                    <break/> (N=876)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">LBW
                                    <break/> infants
                                    <break/> (N=227)</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="4" rowspan="1" valign="top">Demographics</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sex, N (%)</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">570 (52)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">477 (54)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">93 (41)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Birthplace, N (%)</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Health facility</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">492 (45)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">399 (46)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">93 (41)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Home with CBA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">432 (39)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">349 (40)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">83 (37)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Home with no CBA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">179 (16)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">128 (14)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51 (22)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Recruitment health centre, N (%)</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Basma</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">416 (38)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">323 (37)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">93 (41)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;CMA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">320 (29)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">261 (30)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">59 (26)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Dablo</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">286 (26)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">227 (26)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">59 (26)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Foube </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">81 (7.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">65 (7.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16 (7.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Born premature (gestation age
                                    <break/> &lt;37 weeks) N (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62 (5.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14 (1.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48 (21)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="4" rowspan="1" valign="top">
                                    <bold>Anthropometry</bold>
                                </th>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Weight (Kg); mean &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.8 &#x00b1; 0.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.0 &#x00b1; 0.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.2 &#x00b1; 0.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MUAC in cm; mean &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.2 &#x00b1; 1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.5 &#x00b1; 0.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.2 &#x00b1; 0.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Length (cm), mean &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.9 &#x00b1; 2.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.5 &#x00b1; 2.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.4 &#x00b1; 2.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WLZ; mean &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-1.4 &#x00b1; 1.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-1.1 &#x00b1; 1.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-2.8 &#x00b1; 1.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WAZ; mean &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-1.1 &#x00b1; 1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.8 &#x00b1; 0.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-2.7 &#x00b1; 0.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LAZ; mean &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.3 &#x00b1; 1.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.01 &#x00b1; 1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-1.6 &#x00b1; 1.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">ZHC; mean &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-1.3 &#x00b1; 1.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-1.0 &#x00b1; 1.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-2.5 &#x00b1; 1.6</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="4" rowspan="1" valign="top">
                                    <bold>Maternal demographics</bold>
                                </th>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mother age; median (IQR) years</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25 (20-30)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25 (20-30)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22 (19-30)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Illiterate N (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">854 (77)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">666 (76)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">188 (83)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>CBA-community based assistant, MUAC-mid-upper arm circumference, WLZ-Weight-for-length z-score, WAZ-Weight-for-age z-score, LAZ-Length-for-age z-score, ZHC-Head circumference z-score, sd-Standard deviation, NBW-Normal birth weight (&#x2265;2.5kg), LBW-Low birth weight (&lt;2.5kg).</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>At two months of age, of 927 infants who had anthropometry assessed, 148 (16%) were underweight; 94 (64%) of whom were LBW. At six months of age, of the 968 infants who had anthropometry assessed, 236 (24%) were underweight; 92 (39%) of whom were LBW. Anthropometry by month and LBW is shown in 
                    <xref ref-type="table" rid="T2">Table 2</xref>.</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>Monthly weight-for-age z-score and proportion of children underweight stratified by birth weight.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="middle"/>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Birth</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 1</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 2</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 3</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 4</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 5</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 6</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 7</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 8</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 9</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 10</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 11</th>
                                <th align="left" colspan="1" rowspan="1" valign="middle">Month 12</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="14" rowspan="1" valign="middle">All infants</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">N</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1103</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">938</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">927</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">986</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">940</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">916</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">968</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">917</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">917</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">938</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">899</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">887</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">941</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mean WAZ &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.1 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.7 &#x00b1;1.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.8 &#x00b1;1.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.9 &#x00b1;1.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.0 &#x00b1;1.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.1 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.3 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.4 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.5 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.5 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.6 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.6 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.6 &#x00b1;1.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">WAZ&lt;-2 (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">185 (17)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">134 (14)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">148 (16)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">159 (16)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">171 (18)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">176 (19)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">236 (24)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">278 (30)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">304 (33)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">304 (32)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">310 (34)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">298 (34)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">307.(33)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="14" rowspan="1" valign="middle">Normal birth weight</th>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">N (%)
                                    <sup>
                                        <xref ref-type="other" rid="TFN1">#</xref>
                                    </sup>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">876 (79)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">745 (79)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">740 (80)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">786 (80)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">756 (80)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">739 (81)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">780 (81)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">741 (81)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">739 (81)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">762 (81)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">730 (81)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">724 (82)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">762 (81)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mean WAZ &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.7 &#x00b1;0.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.3 &#x00b1;1.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.5 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.6 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.7 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.9 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.1 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.2 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.3 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.4 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.4 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.4 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1.4 &#x00b1;1.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">WAZ&lt;-2 (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">35 (4.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">54 (7.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">73 (9.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95 (13)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">109 (15)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">144 (18)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">183 (25)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">208 (28)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">209 (27)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">209 (29)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">203 (28)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">205 (27)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="14" rowspan="1" valign="middle">Low birth weight</th>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">N (%)
                                    <sup>
                                        <xref ref-type="other" rid="TFN1">#</xref>
                                    </sup>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">227 (21)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">193 (21)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">187 (20)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">200 (20)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">184 (20)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">177 (19)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">188 (19)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">176 (19)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">178 (19)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">176 (19)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">169 (19)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">163 (18)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">179 (19)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mean WAZ &#x00b1;sd</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.7 &#x00b1;0.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.2 &#x00b1;1.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.2 &#x00b1;1.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.0 &#x00b1;1.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.0 &#x00b1;1.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.0 &#x00b1;1.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.2 &#x00b1;1.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.2 &#x00b1;1.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.2 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.3 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.3 &#x00b1;1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.3 &#x00b1;1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-2.3 &#x00b1;1.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">WAZ&lt;-2 (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">185 (82)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">99 (51)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">94 (50)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">86 (43)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76 (41)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67 (38)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">92 (49)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95 (54)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">96 (54)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95 (54)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">101 (60)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95 (58)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">102 (57)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">P-value
                                    <xref ref-type="other" rid="TFN1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="TFN1">
                            <p>WAZ-Weight-for-age z-score, *the P-value is from the comparison of the means of WAZ between infants born LBW and normal birth weight using independent t-test,  #-percentage of all infants in that follow-up visit.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>During twelve months of follow-up, 86 (7.8%) infants died and 68 (6.2%) were lost to follow up after a median of 154 (IQR 91 to 247) days. The total period of observation was 1015 child/years. Twenty-six (30%) deaths occurred before two months of age. LBW was associated with an increased risk of death during the first year of life: hazards ratio (HR) 3.3 (95% CI 2.09 to 4.90) and P&lt;0.001.</p>
            </sec>
            <sec>
                <title>Anthropometric changes from birth and their association with mortality</title>
                <p>At two months of age, MUAC had increased by mean (sd) of 2.37 (1.3) cm to 12.3 (sd 1.3); WAZ had increased by 0.27 (sd 1.1) to -0.81 (sd 1.3) Z; and WLZ had increased by mean (sd) of 1.19 (2.2) to -0.19 (2.0) Z; however length-for-age Z score (LAZ) had declined by 0.35 (sd 1.6) to 0.67 (1.7) Z (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). Anthropometric changes from birth were no better at discriminating mortality compared to single timepoint anthropometric measure taken at month 2, P=0.72, 0.21, 0.28 and 0.80 for WAZ, MUAC, WLZ and LAZ respectively (
                    <xref ref-type="table" rid="T3">Table 3</xref>). Results were similar when the regression models of month two measures were adjusted for LBW (
                    <xref ref-type="table" rid="T3">Table 3</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <p>Month two medians of: 
                            <bold>A</bold>) WAZ, 
                            <bold>B</bold>) WLZ, 
                            <bold>C</bold>) MUAC and 
                            <bold>D</bold>) birth to month two weight difference. The red bars are the medians, for panel A and B, the dashed line is the cut-off of -2 and panel C MUAC=11 cm.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14462/367f10c5-cc5c-4353-b3f5-5fa76d96c696_figure1.gif"/>
                </fig>
                <table-wrap id="T3" orientation="portrait" position="anchor">
                    <label>Table 3. </label>
                    <caption>
                        <title>Comparison in AUCs of single time measurements (month 2) and change between two-time points (birth &amp; month 2).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th colspan="1" rowspan="1"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Month two 
                                    <break/>measurement</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Change between
                                    <break/>birth &amp; month
                                    <break/> two</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">P-value: Changes
                                    <break/> compared to 
                                    <break/>month two only</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Month two 
                                    <break/>measurement
                                    <break/> adjusted for LBW</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">P-value: Adjusted
                                    <break/> compared to
                                    <break/> unadjusted 
                                    <break/>month two only</th>
                            </tr>
                            <tr>
                                <th colspan="1" rowspan="1"/>
                                <th align="center" colspan="1" rowspan="1" valign="top">AUCs (95% CI)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">AUC (95% CI)</th>
                                <th colspan="1" rowspan="1"/>
                                <th align="center" colspan="1" rowspan="1" valign="top">AUCs (95% CI)</th>
                                <th colspan="1" rowspan="1"/>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Weight-for-age z-score</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.65 (0.55, 0.74)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.66 (0.57, 0.75)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.72</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.66 (0.57, 0.76)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.44</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mid-upper arm
                                    <break/>circumference </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.63 (0.53, 0.73)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.61 (0.51, 0.71)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.21</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.65 (0.55, 0.76</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.44</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Weight-for-length
                                    <break/>z-score</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.55 (0.44, 0.65)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.59 (0.50, 0.69)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.28</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.65 (0.56, 0.75)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.11</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Length-for-age z-score</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.64 (0.54, 0.73)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.53 (0.55, 0.)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.80</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.66 (0.56, 0.75)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.40</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>P-value from the 
                                <italic toggle="yes">roccomp</italic> command comparing the values to month 2.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>LBW and its association with underweight and mortality at two and six months of age</title>
                <p>LBW infants were persistently more underweight through the first 12 months of life; the proportion was highest at birth at 82% and lowest at age month 4 at 38% (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
                <p>At two months, of the 148 (16%) underweight infants, 94 (64%) were LBW (
                    <xref ref-type="table" rid="T2">Table 2</xref>). Being underweight was associated with mortality; adjusted hazard ratio (aHR) 1.75 (95% CI 1.04 to 2.79). Among underweight infants at two months, having been born LBW compared to NBW was associated with lower risk of mortality; aHR 2.63 (95% CI 0.76 to 9.15) (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Cumulative hazard of death from two months of age among underweight infants by low birth weight.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14462/367f10c5-cc5c-4353-b3f5-5fa76d96c696_figure2.gif"/>
                </fig>
                <p>At six months, 236 (24%) infants were underweight, of whom 92 (49%) had been born LBW (
                    <xref ref-type="table" rid="T2">Table 2</xref>). Being underweight was associated with mortality; aHR 2.20 (95% CI 1.06 to 4.55). Among underweight infants at six months, having been born LBW compared to NBW was not associated with lower risk of mortality; aHR 2.43 (95% CI 0.74 to 7.98).</p>
                <p>At six months, of the 968 infants assessed, 173 (18%) and 101 (10%) met WHO criteria for moderate acute malnutrition (MAM) and severe acute malnutrition (SAM) respectively. LBW was present in 38/173 (22%) MAM and 39/101 (39%) SAM cases.</p>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>We set out to determine if LBW infants who are underweight at month two, which coincides with the age of first vaccination, could be assumed to be growing normally and at a lower risk of mortality than non-LBW underweight infants.  We found that being underweight at two or six months of age is associated with a significantly increased risk of mortality irrespective of birth weight. Anthropometric changes observed since birth to two months were no better than a single measure at the point of vaccination in discriminating mortality risk.</p>
            <p>LBW was associated with an increased risk of death during the first year of life. This risk is well-documented
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. WHO guidelines recommend feeding LBW infants mother&#x2019;s breastmilk for the first six months of life
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>, as this is associated with lower incidence of infections and necrotizing enterocolitis than those fed with infant formula
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. There is also strong evidence for supplementation with Vitamin D, Iron and Calcium among very low-birth weight (VLBW) infants who are fed on mother&#x2019;s breastmilk within the first six months of life
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. In VLBW and LBW infants, vitamin D supplementation resulted in increases in height, weight, and MUAC in two randomised control trials
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>,
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. These specific interventions for LBW infants need to be implemented; however, the impact of growth monitoring programmes on growth and mortality of LBW infants is less clear
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>. A LBW infant tracking below the reference line may be inappropriately considered as &#x201c;protected&#x201d; from the risk of mortality because they were born small and apparently growing &#x2018;normally&#x2019;. Mothers of LBW infants where poor growth is recognised may be advised or initiate supplemental feeds before six months in an attempt to facilitate accelerated growth
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>, which may actually increase risk. There may also be maternal nutritional and health factors that influence feeding and care, which may usually be missed if the wellbeing of the mother is not assessed with that of her infant. Growth monitoring does present an opportunity if accompanied by informed assessment and appropriate action.
                <italic toggle="yes">
                    <bold>
                        <italic toggle="yes"/>
                    </bold>
                </italic>
            </p>
            <p>Emerging evidence suggests that proactive peer support to mothers of LBW infants improves compliance to exclusive breastfeeding in and out of the hospital environment
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>. Our results indicate that at two months, infants identified to be underweight, irrespective of birth weight, are at increased risk of mortality and should receive targeted support. Underweight infants with a history of LBW should receive micronutrient supplementation as currently recommended, noting the existing gaps in guidance
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>.</p>
            <p>We found that a single MUAC, WAZ or LAZ measure taken at two months of age discriminate mortality risk better than WLZ and that a single measure was better than change from birth. This is an important finding given that WLZ is the currently recommended criterion for intervention and among LBW infants, health worker may consider change in anthropometry more important than the single measure taken at growth monitoring. Our results concur with studies of community infants in The Gambia
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup> and BukinaFaso
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>, and from hospital infant cohort in Kenya
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup> and India
                <sup>
                    <xref ref-type="bibr" rid="ref-23">23</xref>
                </sup> where among infants u6m, WLZ is not reliably measured
                <sup>
                    <xref ref-type="bibr" rid="ref-24">24</xref>,
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup> possibly partly explaining its poor prediction of subsequently mortality. Although using growth velocity may be better at identifying risk, in practice repeated measures may be more complex to implement
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. Current evidence suggests that using a MUAC cut-off of &lt;11.0cm and WAZ&lt;-3 when applied at two months (vaccination point) will effectively identify infants with a high risk of subsequent mortality
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>,
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup>. As a simple tool, MUAC may be applied at home by either community health workers or family members to help identify at risk infants early
                <sup>
                    <xref ref-type="bibr" rid="ref-27">27</xref>
                </sup>.</p>
            <p>In many LMIC settings it is not feasible to distinguish LBW and NBW infants and so there is a need to identify early growth failure in infancy and determine intervention strategies appreciating that LBW infants will comprise a considerable proportion of these. To guide interventions, the Management of At risk Mothers and Infants (MAMI) care pathway approach leverages and connects existing services with active case identification and holistic management of the mother-infant dyad (Emergency Nutrition Network MAMI Tool 2018 available from: 
                <ext-link ext-link-type="uri" xlink:href="https://www.ennonline.net/c-mami">https://www.ennonline.net/c-mami</ext-link>).</p>
            <p>A strength of this study was the large birth cohort with systematically collected monthly infant anthropometry up to one year of age and their vital status.  However, the analysis at month two and six only used data from children with a measured anthropometry. Those excluded because of missing anthropometry could have differed with those included in this analysis. In the absence of ultrasound in pregnancy we were not able to distinguish risks from being preterm versus small for gestational age. A further limitation is that risks and care provision may now differ from those when the data were collected. The data used in this analysis was collected in 2004 and may not reflect improvements in infants care practices in the health system such as improvements in vaccination, community management of acute malnutrition.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>In the first year of life, LBW infants are more likely to be underweight and continue to be at higher risk of mortality than NBW infants. To reduce risk of mortality among infants, research should focus on interventions to prevent LBW and on effective comprehensive interventions to reduce risks of mortality and promote neurodevelopment. Since LBW infants who are underweight have at least the mortality risk of non-LBW infants, all underweight infants need identification during screening or growth monitoring, to have individual nutritional, health and family assessment, and actions to address the risks associated with being underweight.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>Study data were obtained through a data sharing agreement with the School of Public Health, Center of Research in Epidemiology Biostatistics and Clinical Research, Universit&#x00e9; Libre de Bruxelles, Brussels, Belgium and KEMRI Wellcome Trust Research Programme. The data sharing agreement prohibits sharing of child-level data beyond the research team.</p>
                <p>Request to access the de-identified data should be sent to Dr. Paluku Bwahere of School of Public Health, Center of Research in Epidemiology Biostatistics and Clinical Research, Universit&#x00e9; Libre de Bruxelles, Brussels, Belgium, 
                    <email xlink:href="mailto:paluku.bahwere@gmail.com">paluku.bahwere@gmail.com</email>. The request should include: a) full names, designation and affiliation of the person requesting data, b) a copy of study protocol approved by ethics review board showing the methods and statistical analyses plan, and c) proposed period that data will be accessed.</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We acknowledge Dr Marko Kerac for his scientific insights and input during data analysis and write up.</p>
        </ack>
        <ref-list>
            <ref id="ref-1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Mwangome</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Murunga</surname>
                            <given-names>S</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Kahindi</surname>
                            <given-names>J</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Individualized breastfeeding support for acutely ill, malnourished infants under 6 months old.</article-title>
                    <source>
				
                        <italic toggle="yes">Matern Child Nutr.</italic>
			</source>
                    <year>2020</year>;<volume>16</volume>(<issue>1</issue>):<fpage>e12868</fpage>.
                    <pub-id pub-id-type="pmid">31264337</pub-id>
                    <pub-id pub-id-type="doi">10.1111/mcn.12868</pub-id>
                    <pub-id pub-id-type="pmcid">7038891</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-2">
                <label>2</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Blencowe</surname>
                            <given-names>H</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Krasevec</surname>
                            <given-names>J</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>de Onis</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>National, regional, and worldwide estimates of low birthweight in 2015, with trends from 2000: a systematic analysis.</article-title>
                    <source>
				
                        <italic toggle="yes">Lancet Glob Health.</italic>
			</source>
                    <year>2019</year>;<volume>7</volume>(<issue>7</issue>):<fpage>e849</fpage>&#x2013;<lpage>e860</lpage>.
                    <pub-id pub-id-type="pmid">31103470</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S2214-109X(18)30565-5</pub-id>
                    <pub-id pub-id-type="pmcid">6560046</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-3">
                <label>3</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Mwangome</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Ngari</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Bwahere</surname>
                            <given-names>P</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Anthropometry at birth and at age of routine vaccination to predict mortality in the first year of life: A birth cohort study in BukinaFaso.</article-title>
                    <source>
				
                        <italic toggle="yes">PLoS One.</italic>
			</source>
                    <year>2019</year>;<volume>14</volume>(<issue>3</issue>):<fpage>e0213523</fpage>.
                    <pub-id pub-id-type="pmid">30921335</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0213523</pub-id>
                    <pub-id pub-id-type="pmcid">6438502</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Raaijmakers</surname>
                            <given-names>A</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Jacobs</surname>
                            <given-names>L</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Rayyan</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Catch-up growth in the first two years of life in Extremely Low Birth Weight (ELBW) infants is associated with lower body fat in young adolescence.</article-title>
                    <source>
				
                        <italic toggle="yes">PLoS One.</italic>
			</source>
                    <year>2017</year>;<volume>12</volume>(<issue>3</issue>):<fpage>e0173349</fpage>.
                    <pub-id pub-id-type="pmid">28278233</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0173349</pub-id>
                    <pub-id pub-id-type="pmcid">5344416</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Lahiri</surname>
                            <given-names>A</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Chakraborty</surname>
                            <given-names>A</given-names>
                        </name>
			</person-group>:
                    <article-title>Predictors of Weight Velocity in the First 6 Months of Life in a Rural Block of West Bengal: A Longitudinal Study.</article-title>
                    <source>
				
                        <italic toggle="yes">Indian J Community Med.</italic>
			</source>
                    <year>2019</year>;<volume>44</volume>(<issue>2</issue>):<fpage>92</fpage>&#x2013;<lpage>6</lpage>.
                    <pub-id pub-id-type="pmid">31333283</pub-id>
                    <pub-id pub-id-type="pmcid">6625261</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Villar</surname>
                            <given-names>J</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Papageorghiou</surname>
                            <given-names>AT</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Pang</surname>
                            <given-names>R</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>The likeness of fetal growth and newborn size across non-isolated populations in the INTERGROWTH-21st Project: the Fetal Growth Longitudinal Study and Newborn Cross-Sectional Study.</article-title>
                    <source>
				
                        <italic toggle="yes">Lancet Diabetes Endocrinol.</italic>
			</source>
                    <year>2014</year>;<volume>2</volume>(<issue>10</issue>):<fpage>781</fpage>&#x2013;<lpage>92</lpage>.
                    <pub-id pub-id-type="pmid">25009082</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S2213-8587(14)70121-4</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Choudhary</surname>
                            <given-names>TS</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Srivastava</surname>
                            <given-names>A</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Chowdhury</surname>
                            <given-names>R</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Severe wasting among Indian infants &lt;6 months: Findings from the National Family Health Survey 4.</article-title>
                    <source>
				
                        <italic toggle="yes">Matern Child Nutr.</italic>
			</source>
                    <year>2019</year>;<volume>15</volume>(<issue>4</issue>):<fpage>e12866</fpage>.
                    <pub-id pub-id-type="pmid">31240836</pub-id>
                    <pub-id pub-id-type="doi">10.1111/mcn.12866</pub-id>
                    <pub-id pub-id-type="pmcid">6859994</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Koenraads</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Phuka</surname>
                            <given-names>J</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Maleta</surname>
                            <given-names>K</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Understanding the challenges to caring for low birthweight babies in rural southern Malawi: a qualitative study exploring caregiver and health worker perceptions and experiences.</article-title>
                    <source>
				
                        <italic toggle="yes">BMJ Glob Health.</italic>
			</source>
                    <year>2017</year>;<volume>2</volume>(<issue>3</issue>):<fpage>e000301</fpage>.
                    <pub-id pub-id-type="pmid">29082008</pub-id>
                    <pub-id pub-id-type="doi">10.1136/bmjgh-2017-000301</pub-id>
                    <pub-id pub-id-type="pmcid">5656136</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-9">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Martin</surname>
                            <given-names>A</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Connelly</surname>
                            <given-names>A</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Bland</surname>
                            <given-names>RM</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Health impact of catch-up growth in low-birth weight infants: systematic review, evidence appraisal, and meta-analysis.</article-title>
                    <source>
				
                        <italic toggle="yes">Matern Child Nutr.</italic>
			</source>
                    <year>2017</year>;<volume>13</volume>(<issue>1</issue>).
                    <pub-id pub-id-type="pmid">27002681</pub-id>
                    <pub-id pub-id-type="doi">10.1111/mcn.12297</pub-id>
                    <pub-id pub-id-type="pmcid">7158701</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Lule</surname>
                            <given-names>SA</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Namara</surname>
                            <given-names>B</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Akurut</surname>
                            <given-names>H</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Are birthweight and postnatal weight gain in childhood associated with blood pressure in early adolescence? Results from a Ugandan birth cohort.</article-title>
                    <source>
				
                        <italic toggle="yes">Int J Epidemiol.</italic>
			</source>
                    <year>2019</year>;<volume>48</volume>(<issue>1</issue>):<fpage>148</fpage>&#x2013;<lpage>156</lpage>.
                    <pub-id pub-id-type="pmid">29982658</pub-id>
                    <pub-id pub-id-type="doi">10.1093/ije/dyy118</pub-id>
                    <pub-id pub-id-type="pmcid">6380421</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-11">
                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Dulloo</surname>
                            <given-names>AG</given-names>
                        </name>
			</person-group>:
                    <article-title>Regulation of body composition during weight recovery: integrating the control of energy partitioning and thermogenesis.</article-title>
                    <source>
				
                        <italic toggle="yes">Clin Nutr.</italic>
			</source>
                    <year>1997</year>;<volume>16 Suppl 1</volume>:<fpage>25</fpage>&#x2013;<lpage>35</lpage>.
                    <pub-id pub-id-type="pmid">16844618</pub-id>
                    <pub-id pub-id-type="doi">10.1016/s0261-5614(97)80046-5</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Kabore</surname>
                            <given-names>P</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Potvliege</surname>
                            <given-names>C</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Sanou</surname>
                            <given-names>H</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>[Growth velocity and survival of full-term low birth weight infants in an African rural area (Burkina Faso)].</article-title>
                    <source>
				
                        <italic toggle="yes">Arch Pediatr.</italic>
			</source>
                    <year>2004</year>;<volume>11</volume>(<issue>7</issue>):<fpage>807</fpage>&#x2013;<lpage>814</lpage>.
                    <pub-id pub-id-type="pmid">15234376</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.arcped.2004.03.034</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Kabore</surname>
                            <given-names>P</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Dramaix-Wilmet</surname>
                            <given-names>M</given-names>
                        </name>
			</person-group>:
                    <article-title>Impact du petit poids de naissance &#x00e0; terme sur la morbidit&#x00e9; et la mortalit&#x00e9; infantile en milieu rural sah&#x00e9;lien.</article-title>
                    <source>
				
                        <italic toggle="yes">Journal de p&#x00e9;diatrie et de pu&#x00e9;riculture.</italic>
			</source>
                    <year>2009</year>;<volume>22</volume>(<issue>3</issue>):<fpage>121</fpage>&#x2013;<lpage>127</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.jpp.2009.02.003</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Watkins</surname>
                            <given-names>WJ</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Kotecha</surname>
                            <given-names>SJ</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Kotecha</surname>
                            <given-names>S</given-names>
                        </name>
			</person-group>:
                    <article-title>All-Cause Mortality of Low Birthweight Infants in Infancy, Childhood, and Adolescence: Population Study of England and Wales.</article-title>
                    <source>
				
                        <italic toggle="yes">PLoS Med.</italic>
			</source>
                    <year>2016</year>;<volume>13</volume>(<issue>5</issue>):<fpage>e1002018</fpage>.
                    <pub-id pub-id-type="pmid">27163787</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pmed.1002018</pub-id>
                    <pub-id pub-id-type="pmcid">4862683</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-15">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <collab>World Health Organisation</collab>:
                    <article-title>Optimal feeding of low-birth-weight infants: technical review</article-title>.<year>2006</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.who.int/maternal_child_adolescent/documents/9241595094/en/">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref-16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <collab>World Health Organisation</collab>:
                    <article-title>Guidelines on Optimal feeding of low-birth-weight infants in low- and-middle-income countries</article-title>.<year>2011</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.who.int/maternal_child_adolescent/documents/infant_feeding_low_bw/en/">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref-17">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Kumar</surname>
                            <given-names>GT</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Sachdev</surname>
                            <given-names>HS</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Chellani</surname>
                            <given-names>H</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Effect of weekly vitamin D supplements on mortality, morbidity, and growth of low birthweight term infants in India up to age 6 months: randomised controlled trial.</article-title>
                    <source>
				
                        <italic toggle="yes">BMJ.</italic>
			</source>
                    <year>2011</year>;<volume>342</volume>:<fpage>d2975</fpage>.
                    <pub-id pub-id-type="pmid">21628364</pub-id>
                    <pub-id pub-id-type="doi">10.1136/bmj.d2975</pub-id>
                    <pub-id pub-id-type="pmcid">3104477</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-18">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Mathur</surname>
                            <given-names>NB</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Saini</surname>
                            <given-names>A</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Mishra</surname>
                            <given-names>TK</given-names>
                        </name>
			</person-group>:
                    <article-title>Assessment of Adequacy of Supplementation of Vitamin D in Very Low Birth Weight Preterm Neonates: A Randomized Controlled Trial.</article-title>
                    <source>
				
                        <italic toggle="yes">J Trop Pediatr.</italic>
			</source>
                    <year>2016</year>;<volume>62</volume>(<issue>6</issue>):<fpage>429</fpage>&#x2013;<lpage>35</lpage>.
                    <pub-id pub-id-type="pmid">27325795</pub-id>
                    <pub-id pub-id-type="doi">10.1093/tropej/fmv110</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-19">
                <label>19</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Adair</surname>
                            <given-names>LS</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Popkin</surname>
                            <given-names>BM</given-names>
                        </name>
			</person-group>:
                    <article-title>Low birth weight reduces the likelihood of breast-feeding among Filipino infants.</article-title>
                    <source>
				
                        <italic toggle="yes">J Nutr.</italic>
			</source>
                    <year>1996</year>;<volume>126</volume>(<issue>1</issue>):<fpage>103</fpage>&#x2013;<lpage>12</lpage>.
                    <pub-id pub-id-type="pmid">8558289</pub-id>
                    <pub-id pub-id-type="doi">10.1093/jn/126.1.103</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Agrasada</surname>
                            <given-names>GV</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Gustafsson</surname>
                            <given-names>J</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Kylberg</surname>
                            <given-names>E</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Postnatal peer counselling on exclusive breastfeeding of low-birthweight infants: a randomized, controlled trial.</article-title>
                    <source>
				
                        <italic toggle="yes">Acta Paediatr.</italic>
			</source>
                    <year>2005</year>;<volume>94</volume>(<issue>8</issue>):<fpage>1109</fpage>&#x2013;<lpage>1115</lpage>.
                    <pub-id pub-id-type="pmid">16188857</pub-id>
                    <pub-id pub-id-type="doi">10.1111/j.1651-2227.2005.tb02053.x</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-21">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Mwangome</surname>
                            <given-names>MK</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Fegan</surname>
                            <given-names>G</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Fulford</surname>
                            <given-names>T</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Mid-upper arm circumference at age of routine infant vaccination to identify infants at elevated risk of death: a retrospective cohort study in the Gambia.</article-title>
                    <source>
				
                        <italic toggle="yes">Bull World Health Organ.</italic>
			</source>
                    <year>2012</year>;<volume>90</volume>(<issue>12</issue>):<fpage>887</fpage>&#x2013;<lpage>94</lpage>.
                    <pub-id pub-id-type="pmid">23284194</pub-id>
                    <pub-id pub-id-type="doi">10.2471/BLT.12.109009</pub-id>
                    <pub-id pub-id-type="pmcid">3524961</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-22">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Mwangome</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Ngari</surname>
                            <given-names>M</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Fegan</surname>
                            <given-names>G</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Diagnostic criteria for severe acute malnutrition among infants aged under 6 mo.</article-title>
                    <source>
				
                        <italic toggle="yes">Am J Clin Nutr.</italic>
			</source>
                    <year>2017</year>;<volume>105</volume>(<issue>6</issue>):<fpage>1415</fpage>&#x2013;<lpage>1423</lpage>.
                    <pub-id pub-id-type="pmid">28424189</pub-id>
                    <pub-id pub-id-type="doi">10.3945/ajcn.116.149815</pub-id>
                    <pub-id pub-id-type="pmcid">5445677</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-23">
                <label>23</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Kumar</surname>
                            <given-names>P</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Meiyappan</surname>
                            <given-names>Y</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Rogers</surname>
                            <given-names>E</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Outcomes of Hospitalized Infants Aged One to Six Months in Relation to Different Anthropometric Indices - An Observational Cohort Study.</article-title>
                    <source>
				
                        <italic toggle="yes">Indian J Pediatr.</italic>
			</source>
                    <year>2020</year>;<volume>87</volume>(<issue>9</issue>):<fpage>699</fpage>&#x2013;<lpage>705</lpage>.
                    <pub-id pub-id-type="pmid">32221787</pub-id>
                    <pub-id pub-id-type="doi">10.1007/s12098-020-03236-9</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Mwangome</surname>
                            <given-names>MK</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Berkley</surname>
                            <given-names>JA</given-names>
                        </name>
			</person-group>:
                    <article-title>The reliability of weight-for-length/height Z scores in children.</article-title>
                    <source>
				
                        <italic toggle="yes">Matern Child Nutr.</italic>
			</source>
                    <year>2014</year>;<volume>10</volume>(<issue>4</issue>):<fpage>474</fpage>&#x2013;<lpage>480</lpage>.
                    <pub-id pub-id-type="pmid">24785183</pub-id>
                    <pub-id pub-id-type="doi">10.1111/mcn.12124</pub-id>
                    <pub-id pub-id-type="pmcid">4282477</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-25">
                <label>25</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Mwangome</surname>
                            <given-names>MK</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Fegan</surname>
                            <given-names>G</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Mbunya</surname>
                            <given-names>R</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Reliability and accuracy of anthropometry performed by community health workers among infants under 6 months in rural Kenya.</article-title>
                    <source>
				
                        <italic toggle="yes">Trop Med Int Health.</italic>
			</source>
                    <year>2012</year>;<volume>17</volume>(<issue>5</issue>):<fpage>622</fpage>&#x2013;<lpage>9</lpage>.
                    <pub-id pub-id-type="pmid">22364555</pub-id>
                    <pub-id pub-id-type="doi">10.1111/j.1365-3156.2012.02959.x</pub-id>
                    <pub-id pub-id-type="pmcid">3963456</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-26">
                <label>26</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Schwinger</surname>
                            <given-names>C</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Fadnes</surname>
                            <given-names>LT</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Van den Broeck</surname>
                            <given-names>J</given-names>
                        </name>
			</person-group>:
                    <article-title>Using growth velocity to predict child mortality.</article-title>
                    <source>
				
                        <italic toggle="yes">Am J Clin Nutr.</italic>
			</source>
                    <year>2016</year>;<volume>103</volume>(<issue>3</issue>):<fpage>801</fpage>&#x2013;<lpage>807</lpage>.
                    <pub-id pub-id-type="pmid">26843152</pub-id>
                    <pub-id pub-id-type="doi">10.3945/ajcn.115.118679</pub-id>
                    <pub-id pub-id-type="pmcid">4763491</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-27">
                <label>27</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">
				
                        <name name-style="western">
                            <surname>Ale</surname>
                            <given-names>FG</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Phelan</surname>
                            <given-names>KP</given-names>
                        </name>
				
                        <name name-style="western">
                            <surname>Issa</surname>
                            <given-names>H</given-names>
                        </name>
				
                        <etal/>
			</person-group>:
                    <article-title>Mothers screening for malnutrition by mid-upper arm circumference is non-inferior to community health workers: results from a large-scale pragmatic trial in rural Niger.</article-title>
                    <source>
				
                        <italic toggle="yes">Arch Public Health.</italic>
			</source>
                    <year>2016</year>;<volume>74</volume>(<issue>1</issue>):<fpage>38</fpage>.
                    <pub-id pub-id-type="pmid">27602207</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s13690-016-0149-5</pub-id>
                    <pub-id pub-id-type="pmcid">5011948</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report30817">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14462.r30817</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>McClure</surname>
                        <given-names>Elizabeth M.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r30817a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-8659-5444</uri>
                </contrib>
                <aff id="r30817a1">
                    <label>1</label>Regional Triangulate Institute International, Research Triangle Park, NC, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>13</day>
                <month>7</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 McClure EM</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport30817" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13231.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The investigators conducted a secondary analyses of an old dataset from Burkina Faso to address the question of whether mortality risk differed among underweight LBW infants compared to normal birth weight infants at 2 to 6 months. While this analysis attempts to address an important public health question, there are substantial limitations to the methods, inherent in the older data set (which the authors acknowledge). First, the data is from 2004, and there have been advances in anthropometric measurements since then. Women were only recruited in the 3rd trimester of pregnancy and did not have ultrasound-confirmed GA dating, so we have no information about growth restriction or potential confounders. Also the weight was measured in kg (not g) so there is likely substantial rounding issues and subtle differences may have been lost. Finally, less than half were delivered at a health facility, and the quality of the birth weight for home births is likely to be lower. It would be helpful to include an enrollment flow diagram to help interpret the lost to follow-up at each stage (i.e., from screening through 12 mos follow-up). Overall, while the analytic methods appear to be solid and the research question important, there are substantial limitations with the methods of the original study that reduce the validity of the study findings.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Perinatal epidemiology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment3453-30817">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>mwangome</surname>
                            <given-names>martha</given-names>
                        </name>
                        <aff/>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>I am the author of the article providing a point by point response to the reviewer's comments</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>18</day>
                    <month>8</month>
                    <year>2021</year>
                </pub-date>
            </front-stub>
            <body>
                <p>1. First, the data is from 2004, and there have been advances in anthropometric measurements since then.</p>
                <p> 
                    <bold>Response: </bold>We have used 2006 WHO growth standard which are the most updated global reference standards. We have added data on growth increment and compared with 2009 WHO growth increment standards. We feel that it is beyond the scope of the study to include growth velocity analysis as this would introduce a new objective.</p>
                <p> </p>
                <p> 2. Women were only recruited in the 3rd trimester of pregnancy and did not have ultrasound-confirmed GA dating, so we have no information about growth restriction or potential confounders.</p>
                <p> 
                    <bold>Response:</bold> Yes indeed this is true. Accurate gestational age (GA) dating using ultra sound machines is still, to date, a very difficult and expensive procedure to include in birth cohorts studies in most resource poor settings. In this study in 2004, GA dating was done using last menstrual period (LMP) dating which is a method that is commonly used but inherent to errors. In our analysis, we have used this information and adjusted for being born premature. We have also acknowledged this as a limitation to the study</p>
                <p> </p>
                <p> 3. Also the weight was measured in kg (not g) so there is likely substantial rounding issues and subtle differences may have been lost.</p>
                <p> 
                    <bold>Response:</bold> The weight measurements were taken to the nearest 10g as recommended and reported to the nearest 1 decimal place (100g). Although the rounding off is likely to have an effect, we think that the effect on the association to the outcome will be very minimal and therefore have decided to leave it as is.</p>
                <p> </p>
                <p> 4. Finally, less than half were delivered at a health facility, and the quality of the birth weight for home births is likely to be lower.</p>
                <p> 
                    <bold>Response:</bold> For infants delivered in the community, birth weight was measured within the first 48hrs. We think that the timing improves the quality of birth weight as the standard is to measure birth anthropometry within the first 72hrs.</p>
                <p> </p>
                <p> 5. It would be helpful to include an enrollment flow diagram to help interpret the lost to follow-up at each stage (i.e., from screening through 12 mos follow-up).</p>
                <p> 
                    <bold>Response:</bold> This has now been included. See figure 1.</p>
                <p> </p>
                <p> 6. Overall, while the analytic methods appear to be solid and the research question important, there are substantial limitations with the methods of the original study that reduce the validity of the study findings.</p>
                <p> 
                    <bold>Response:</bold> It is important to remember that much as an old cohort may come with some limitations (duly acknowledged), we feel that its value far outweighs the limitations. Some of these advantages include; 
                    <list list-type="bullet">
                        <list-item>
                            <p>It would be impossible to replicate an untreated birth cohort in this day and age and hence impossible to observe nutritional trends as the current ethics restrictions would not allow.</p>
                        </list-item>
                        <list-item>
                            <p>To date, not many birth cohorts collect MUAC measurement at birth and in the first 6 months of life. The value of MUAC in early infancy is challenging to establish partly because of lack of data. A dataset like this gives an opportunity to explore the potential of expanding the use of MUAC among infants under 6 months.</p>
                        </list-item>
                    </list>
                </p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report30680">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14462.r30680</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Chowdhury</surname>
                        <given-names>Ranadip</given-names>
                    </name>
                    <xref ref-type="aff" rid="r30680a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0055-6653</uri>
                </contrib>
                <aff id="r30680a1">
                    <label>1</label>Centre&#x00a0;for&#x00a0;Health Research&#x00a0;and&#x00a0;Development,&#x00a0;Society&#x00a0;for&#x00a0;Applied Studies&#x00a0;(CHRD-SAS), New Delhi, Delhi, India</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>5</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Chowdhury R</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport30680" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13231.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors examined data from a birth cohort to compare the discriminatory value for mortality for anthropometry at birth and changes from birth to the following timepoints in infancy: i) at two months of age, which is around the time of infant immunizations; and ii) at six months of age. The authors also investigated overall mortality risk among low birth weight (LBW) infants and whether infants with low anthropometric values measured at two and six months of age. LBW was associated with a lower risk of subsequent mortality. This is an important analysis to understand how to define growth failure in the first six months of life and whether there is a need to have different indicators of LBW infants. Very well conducted analysis and interpretation of the findings. I have very few comments: 
                <list list-type="order">
                    <list-item>
                        <p>I would suggest the authors use WHO monthly growth velocity standards to see whether similar findings are obtained.</p>
                    </list-item>
                    <list-item>
                        <p>The authors have used the 'gamma frailty model'. Considering the heterogeneity across the sites, I would suggest the authors check the shared frailty assumptions.</p>
                    </list-item>
                    <list-item>
                        <p>Do the authors have information on breastfeeding practices, morbidity, care-seeking behaviors, and maternal nutrition status? If not, the authors should mention these in the limitations. If yes, I would suggest presenting this information to better understand the cohort.</p>
                    </list-item>
                    <list-item>
                        <p>Why did the authors not use diagnostic accuracies to discriminate the mortality for anthropometry at different time points?</p>
                    </list-item>
                    <list-item>
                        <p>I would suggest the authors provide a flow diagram to better understand the loss to follow up at different stages.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Drivers of child growth</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment3452-30680">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>mwangome</surname>
                            <given-names>martha</given-names>
                        </name>
                        <aff/>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>I am the author providing a point by point response to reviewer's comments</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>18</day>
                    <month>8</month>
                    <year>2021</year>
                </pub-date>
            </front-stub>
            <body>
                <p>1. I would suggest the authors use WHO monthly growth velocity standards to see whether similar findings are obtained.</p>
                <p> 
                    <bold>Response: </bold>We thank the author for this comment. We however feel that the suggestion to calculate growth velocity and compare these to the WHO growth velocity standards introduces a new objective to the study and is therefore beyond the scope of our current set objectives. However, in keeping with the spirit of the reviewer, we have included the median weight increments from birth to months 2 and 6 months and compared these to the WHO 2009 weights increments standard. We have explained this in the statistical methods and added the findings in the results section (see revised manuscript).</p>
                <p> </p>
                <p> 2. The authors have used the 'gamma frailty model'. Considering the heterogeneity across the sites, I would suggest the authors check the shared frailty assumptions.</p>
                <p> 
                    <bold>Response: </bold>The underlying assumption when using the 'gamma frailty model' was presence of unobserved heterogeneity across the four recruiting health facilities. We assessed and found evidence of the unobserved heterogeneity using likelihood ratio test in a regression model assessing the effect of LBW on one-year mortality. We have explained this in the statistical method section (see revised manuscript).&#x00a0;</p>
                <p> </p>
                <p> 3. Do the authors have information on breastfeeding practices, morbidity, care-seeking behaviors, and maternal nutrition status? If not, the authors should mention these in the limitations. If yes, I would suggest presenting this information to better understand the cohort.</p>
                <p> 
                    <bold>Response: </bold>We thank the reviewer for this comment. We confirm that some of these data were collected and we have added on Table 1 and updated paragraph one of the result section to reflect this addition. However, our regression analysis approach was to use a prior confounder, therefore we have not added these variables to the regression analysis.</p>
                <p> </p>
                <p> 4.Why did the authors not use diagnostic accuracies to discriminate the mortality for anthropometry at different time points?</p>
                <p> 
                    <bold>Response: </bold>We thank the reviewer for this comment. We used receiver operating characteristic (ROC) curve analysis to calculate the area under curve (AUC) for different anthropometry at month 2 and 6 months. We also compared the amount of AUC of discrimination for single time point anthropometry versus difference between two time points (Table 2). The method used to calculate the AUCs and comparison are explained in the statistical methods.</p>
                <p> </p>
                <p> 5. I would suggest the authors provide a flow diagram to better understand the loss to follow up at different stages.</p>
                <p> 
                    <bold>Response:</bold> Indeed, a flowchart of the participants from birth to month 12, would provide a better understanding of the participants included. We have added a flow chart of the participants as Figure 1.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
