University College London
Browse

Growth Monitoring Study (GMS) dataset for the analysis on the determinants of infant growth in a birth cohort in the Nepal plains

dataset
posted on 2024-12-18, 12:50 authored by Naomi SavilleNaomi Saville, Laura BusertLaura Busert, Bhim Prasad Shrestha, Dharma S. Manandhar

This dataset supports a publication on the determinants of infant growth in a birth cohort in the Nepal plains.

This study aimed to identify the determinants of infant growth in terms of length-for-age z-score (LAZ) in a birth cohort (n=602) in the plains of Nepal. Children were enrolled within 72 hours of birth and followed-up every 28 days until they were 2 years. We fitted mixed-effects linear regression models controlling for multiple measurements within individuals to examine the impact of household and maternal factors, feeding practices and infection on infant LAZ. We conducted separate analyses for the age periods 0-6 months (exclusive breastfeeding period) and 7-24 months (complementary feeding period) to check whether the importance of determinants differed by child age.

The data are useful to those seeking to understand the factors associated with longitudinal changes in nutritional status in children from birth to 2 years in the plains of Nepal.

Funding

Wellcome Trust Strategic Award for the Population Science of Maternal and Newborn Survival (grant 085417MA/Z/08/Z)

Bill and Melinda Gates Foundation (Investment ID OPP1113344)

Laura Busert-Sebela was funded by the UCL Great Ormond Street Institute of Child Health Child Health Research PhD studentship.

History

Usage metrics

    Institute for Global Health

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC