Cargando…
How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries
INTRODUCTION: Reducing stunting is an important part of the global health agenda. Despite likely changes in risk factors as children age, determinants of stunting are typically analysed without taking into account age-related heterogeneity. We aim to fill this gap by providing an in-depth analysis o...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407538/ https://www.ncbi.nlm.nih.gov/pubmed/30899561 http://dx.doi.org/10.1136/bmjgh-2018-001175 |
_version_ | 1783401575990951936 |
---|---|
author | Bommer, Christian Vollmer, Sebastian Subramanian, S V |
author_facet | Bommer, Christian Vollmer, Sebastian Subramanian, S V |
author_sort | Bommer, Christian |
collection | PubMed |
description | INTRODUCTION: Reducing stunting is an important part of the global health agenda. Despite likely changes in risk factors as children age, determinants of stunting are typically analysed without taking into account age-related heterogeneity. We aim to fill this gap by providing an in-depth analysis of the role of socioeconomic status (SES) as a moderator for the stunting-age pattern. METHODS: Epidemiological and socioeconomic data from 72 Demographic and Health Surveys (DHS) were used to calculate stunting-age patterns by SES quartiles, derived from an index of household assets. We further investigated how differences in age-specific stunting rates between children from rich and poor households are explained by determinants that could be modified by nutrition-specific versus nutrition-sensitive interventions. RESULTS: While stunting prevalence in the pooled sample of 72 DHS is low in children up to the age of 5 months (maximum prevalence of 17.8% (95% CI 16.4;19.3)), stunting rates in older children tend to exceed those of younger ones in the age bracket of 6–20 months. This pattern is more pronounced in the poorest than in the richest quartile, with large differences in stunting prevalence at 20 months (stunting rates: 40.7% (95% CI 39.5 to 41.8) in the full sample, 50.3% (95% CI 48.2 to 52.4) in the poorest quartile and 29.2% (95% CI 26.8 to 31.5) in the richest quartile). When adjusting for determinants related to nutrition-specific interventions only, SES-related differences decrease by up to 30.1%. Much stronger effects (up to 59.2%) occur when determinants related to nutrition-sensitive interventions are additionally included. CONCLUSION: While differences between children from rich and poor households are small during the first 5 months of life, SES is an important moderator for age-specific stunting rates in older children. Determinants related to nutrition-specific interventions are not sufficient to explain these SES-related differences, which could imply that a multifactorial approach is needed to reduce age-specific stunting rates in the poorest children. |
format | Online Article Text |
id | pubmed-6407538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64075382019-03-21 How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries Bommer, Christian Vollmer, Sebastian Subramanian, S V BMJ Glob Health Research INTRODUCTION: Reducing stunting is an important part of the global health agenda. Despite likely changes in risk factors as children age, determinants of stunting are typically analysed without taking into account age-related heterogeneity. We aim to fill this gap by providing an in-depth analysis of the role of socioeconomic status (SES) as a moderator for the stunting-age pattern. METHODS: Epidemiological and socioeconomic data from 72 Demographic and Health Surveys (DHS) were used to calculate stunting-age patterns by SES quartiles, derived from an index of household assets. We further investigated how differences in age-specific stunting rates between children from rich and poor households are explained by determinants that could be modified by nutrition-specific versus nutrition-sensitive interventions. RESULTS: While stunting prevalence in the pooled sample of 72 DHS is low in children up to the age of 5 months (maximum prevalence of 17.8% (95% CI 16.4;19.3)), stunting rates in older children tend to exceed those of younger ones in the age bracket of 6–20 months. This pattern is more pronounced in the poorest than in the richest quartile, with large differences in stunting prevalence at 20 months (stunting rates: 40.7% (95% CI 39.5 to 41.8) in the full sample, 50.3% (95% CI 48.2 to 52.4) in the poorest quartile and 29.2% (95% CI 26.8 to 31.5) in the richest quartile). When adjusting for determinants related to nutrition-specific interventions only, SES-related differences decrease by up to 30.1%. Much stronger effects (up to 59.2%) occur when determinants related to nutrition-sensitive interventions are additionally included. CONCLUSION: While differences between children from rich and poor households are small during the first 5 months of life, SES is an important moderator for age-specific stunting rates in older children. Determinants related to nutrition-specific interventions are not sufficient to explain these SES-related differences, which could imply that a multifactorial approach is needed to reduce age-specific stunting rates in the poorest children. BMJ Publishing Group 2019-02-08 /pmc/articles/PMC6407538/ /pubmed/30899561 http://dx.doi.org/10.1136/bmjgh-2018-001175 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Research Bommer, Christian Vollmer, Sebastian Subramanian, S V How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries |
title | How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries |
title_full | How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries |
title_fullStr | How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries |
title_full_unstemmed | How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries |
title_short | How socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries |
title_sort | how socioeconomic status moderates the stunting-age relationship in low-income and middle-income countries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407538/ https://www.ncbi.nlm.nih.gov/pubmed/30899561 http://dx.doi.org/10.1136/bmjgh-2018-001175 |
work_keys_str_mv | AT bommerchristian howsocioeconomicstatusmoderatesthestuntingagerelationshipinlowincomeandmiddleincomecountries AT vollmersebastian howsocioeconomicstatusmoderatesthestuntingagerelationshipinlowincomeandmiddleincomecountries AT subramaniansv howsocioeconomicstatusmoderatesthestuntingagerelationshipinlowincomeandmiddleincomecountries |