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      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
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    <title>Data for the paper on “Does early growth failure influence later school performance? A cohort study in Karonga district, northern Malawi”</title>
    <divisions>
      <item>EPID</item>
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    <keywords>
      <item>Stunting</item>
      <item>School progression</item>
      <item>School performance</item>
      <item>School enrolment</item>
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    <note>The authors confirm that they have ethical consent to share the data and have taken appropriate measures to anonymise it.</note>
    <abstract>Anthropometric data collected as part of the baseline census of a demographic surveillance performed between 2002 and 2004 in the southern part of Karonga district in northern Malawi. Data was collected at birth, with follow-up after a year and with further rounds of anthropometric data for all children below the age of 10 between 2008-2011. Individual and household-level socio-demographic and schooling data were also combined to account for socio-economic and schooling histories of participants from 2007-2015, allowing us to examine the relationship between stunting in early years and school outcomes at older ages.</abstract>
    <date>2018-10-01</date>
    <date_type>completed</date_type>
    <publisher>London School of Hygiene &amp; Tropical Medicine</publisher>
    <id_number>10.17037/DATA.00000675</id_number>
    <data_type>Dataset</data_type>
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    <funders>
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      <item>Economic and Social Research Council</item>
    </funders>
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      <item>Karonga Prevention Study</item>
    </projects>
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      <resourcetype>Quantitative</resourcetype>
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    <collection_method>Data Collection Methods:
Staff were trained to collect anthropometric data at regular intervals. Recumbent length was used for children below the age of 2, while height for children above age 2 was measured using a Leicester height measure. Survey data was administered by field staff using paper questionnaires and in the local language, Chitumbuka. Data collection was supervised and managed on site by a team of scientists, field enumerators and data entry personnel. Data was then double-entered into MS Access by the data entry office for further analysis. Informed consent to participate in the study was sought from household heads. Further details on data collection methods can be found in the paper.

Data Analysis and Preparation:
Raw anthropometric data was transformed into height-for-age z-scores (HAZ) based on the WHO growth references for children below and above age 5. Growth failure/stunting was defined as the HAZ &lt;-2SD. Growth trajectories between early and late childhood were defined as being never stunted, improvers (stunted in early but not stunted in late childhood), decliners (not stunted in early but stunted in late childhood) or persistently stunted (in early and late childhood). For data on school outcomes, age at entry was determined by the cut-off of age 6 (&lt;6 being underage, &gt;6 being overage enrolment). Age-for-grade is the number of years a child is ahead/behind in class based on the official age-for-grade and provides a cumulative measure of school performance. The effects of stunting on grade repetition in Standard 1, which is has the highest proportion of repeaters in primary school, was also examined.</collection_method>
    <grant>WT (079828/Z/06/C and 098610/Z/12/Z); ESRC (ES/L013967/1)</grant>
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        <funder_name>Economic and Social Research Council</funder_name>
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