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Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India

BACKGROUND: The impacts of socio-demographic and environmental risk factors on child growth have been widely documented. However, it remains unclear whether the impacts of such risk factors on child growth have remained static or changed with child’s age. The present study aims to assess the underly...

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Autores principales: Yadav, Suryakant, Bhandari, Pravat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248138/
https://www.ncbi.nlm.nih.gov/pubmed/35773654
http://dx.doi.org/10.1186/s12887-022-03415-x
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author Yadav, Suryakant
Bhandari, Pravat
author_facet Yadav, Suryakant
Bhandari, Pravat
author_sort Yadav, Suryakant
collection PubMed
description BACKGROUND: The impacts of socio-demographic and environmental risk factors on child growth have been widely documented. However, it remains unclear whether the impacts of such risk factors on child growth have remained static or changed with child’s age. The present study aims to assess the underlying age heterogeneities in child growth and its potential determinants over age in under-five children. METHODS: Cross-sectional data on child height (measured as height-for-age z-score, i.e., HAZ) and weight (measured as weight-for-age z-score, i.e., WAZ) and potential confounding factors from India’s 2015–16 National Family Health Survey (NFHS) were used to construct anthropometric age-profiles by a number of bio-demographic and socioeconomic characteristics. Further, age-interacted multilevel regression analyses were performed to examine differential effects of such/those risk factors on child height and weight by age. RESULTS: Faltered height and weight growth during first two years of life was noticed in children of all socioeconomic groups studied, albeit with varying magnitude. In case of child’s height, factors such as short birth interval, higher birth order, maternal education, household wealth, district level mortality rate have shown strong interaction with child’s age during the first 23 months, signifying their age-varying role in different developmental stages of child growth. These factors explain the observed upward and downward shifts in height curve during first two years. Some of these variables (e.g., household wealth) have shown even stronger age interactions after the second birthday of children. For child’s weight, interactive effects of most socio-demographic risk factors attenuated parabolically with child’s age. CONCLUSIONS: The impacts of several risk factors, measured at the child, mother, community, and district levels, on child growth indicators varied significantly with the child’s age. Nutritional interventions aimed at preventing poor linear growth in children in India should consider these underlying age heterogeneities for growth determinants into account. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03415-x.
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spelling pubmed-92481382022-07-02 Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India Yadav, Suryakant Bhandari, Pravat BMC Pediatr Research BACKGROUND: The impacts of socio-demographic and environmental risk factors on child growth have been widely documented. However, it remains unclear whether the impacts of such risk factors on child growth have remained static or changed with child’s age. The present study aims to assess the underlying age heterogeneities in child growth and its potential determinants over age in under-five children. METHODS: Cross-sectional data on child height (measured as height-for-age z-score, i.e., HAZ) and weight (measured as weight-for-age z-score, i.e., WAZ) and potential confounding factors from India’s 2015–16 National Family Health Survey (NFHS) were used to construct anthropometric age-profiles by a number of bio-demographic and socioeconomic characteristics. Further, age-interacted multilevel regression analyses were performed to examine differential effects of such/those risk factors on child height and weight by age. RESULTS: Faltered height and weight growth during first two years of life was noticed in children of all socioeconomic groups studied, albeit with varying magnitude. In case of child’s height, factors such as short birth interval, higher birth order, maternal education, household wealth, district level mortality rate have shown strong interaction with child’s age during the first 23 months, signifying their age-varying role in different developmental stages of child growth. These factors explain the observed upward and downward shifts in height curve during first two years. Some of these variables (e.g., household wealth) have shown even stronger age interactions after the second birthday of children. For child’s weight, interactive effects of most socio-demographic risk factors attenuated parabolically with child’s age. CONCLUSIONS: The impacts of several risk factors, measured at the child, mother, community, and district levels, on child growth indicators varied significantly with the child’s age. Nutritional interventions aimed at preventing poor linear growth in children in India should consider these underlying age heterogeneities for growth determinants into account. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03415-x. BioMed Central 2022-06-30 /pmc/articles/PMC9248138/ /pubmed/35773654 http://dx.doi.org/10.1186/s12887-022-03415-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yadav, Suryakant
Bhandari, Pravat
Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India
title Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India
title_full Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India
title_fullStr Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India
title_full_unstemmed Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India
title_short Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India
title_sort age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in india
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248138/
https://www.ncbi.nlm.nih.gov/pubmed/35773654
http://dx.doi.org/10.1186/s12887-022-03415-x
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