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Socioeconomic determinants of growth in a longitudinal study in Nepal

Bibliographic Data

ID15536361
AuthorsDelan Devakumar (0000-0002-8695-6817, University College London, corresponding author), Dalvir Kular (0000-0001-8489-7158, University College London), Bhim P Shrestha (Mother and Infant Research Activities), Carlos S Grijalva-Eternod (0000-0002-2461-9954, University College London), Rhian M Daniel (London School of Hygiene and Tropical Medicine London UK), Rhian Daniel (0000-0001-5649-9320, London School of Hygiene & Tropical Medicine), N Saville (0000-0002-1735-3684, University College London), Naomi M Saville (Institute for Global Health, UCL London UK), D S Manandhar (0000-0001-8699-6774, Mother and Infant Research Activities), Anthony Costello (0000-0002-0460-4245, University College London), David Osrin (0000-0001-9691-9684, University College London), J Wells (0000-0003-0411-8025, University College London), Jonathan C K Wells (Nutrition Unit, GOS Institute of Child Health, UCL London UK)
Year2017
Volume14
Issue1
Publication date2017-04-27
Open AccessYes
TypeARTICLE
VenueMaternal and Child Nutrition (JOURNAL)
Journal identifiersISSN: 1740-8695 • E-ISSN: 1740-8709
PublisherWiley (PUBLISHER • GB)
DOI10.1111/mcn.12462
PMID28449415
OpenAlexW2609088355
LanguageEN
Citations received5
References cited32

Socioeconomic status (SES) is associated with childhood anthropometry, but little is known about how it is associated with tissue growth and body composition. To investigate this, we looked at components of SES at birth with growth in early and mid-childhood, and body composition in a longitudinal study in Nepal. The exposure variables (material assets, land ownership, and maternal education) were quantified from questionnaire data before birth. Anthropometry data at birth, 2.5 and 8.5 years, were normalized using WHO reference ranges and conditional growth calculated. Associations with child growth and body composition were explored using multiple regression analysis. Complete anthropometry data were available for 793 children. There was a positive association between SES and height-for-age and weight-for-age, and a reduction in odds of stunting and underweight for each increase in rank of SES variable. Associations tended to be significant when moving from the lower to the upper asset score, from none to secondary education, and no land to >30 dhur (~500 m 2 ). The strongest associations were for maternal secondary education, showing an increase of 0.6-0.7 z scores in height-for-age and weight-for-age at 2.5 and 8.5 years and 0.3 kg/m 2 in fat and lean mass compared to no education. There was a positive association with conditional growth in the highest asset score group and secondary maternal education, and generally no association with land ownership. Our results show that SES at birth is important for the growth of children, with a greater association with fat mass. The greatest influence was maternal secondary education

Anthropometry · Body mass index · Environmental health · Logistic regression · Odds · Overweight · Population · Socioeconomic status · Standard score · Statistics · Underweight · Birth, Development, and Health · Child Nutrition and Water Access · Demography · Medicine · Obesity, Physical Activity, Diet

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Citations per year0.56
Citation span2017 - 2025 (9)
Highly citedNo

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