Cargando…
Distinct clusters of stunted children in India: An observational study
Childhood stunting is often conceptualised as a singular concept (i.e., stunted or not), and such an approach implies similarity in the experiences of children who are stunted. Furthermore, risk factors for stunting are often treated in isolation, and limited research has examined how multiple risk...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055611/ https://www.ncbi.nlm.nih.gov/pubmed/29473697 http://dx.doi.org/10.1111/mcn.12592 |
_version_ | 1783341207264428032 |
---|---|
author | Green, Mark A. Corsi, Daniel J. Mejía‐Guevara, Ivan Subramanian, S. V. |
author_facet | Green, Mark A. Corsi, Daniel J. Mejía‐Guevara, Ivan Subramanian, S. V. |
author_sort | Green, Mark A. |
collection | PubMed |
description | Childhood stunting is often conceptualised as a singular concept (i.e., stunted or not), and such an approach implies similarity in the experiences of children who are stunted. Furthermore, risk factors for stunting are often treated in isolation, and limited research has examined how multiple risk factors interact together. Our aim was to examine whether there are subgroups among stunted children, and if parental characteristics influence the likelihood of these subgroups among children. Children who were stunted were identified from the 2005–2006 Indian National Family Health Survey (n = 12,417). Latent class analysis was used to explore the existence of subgroups among stunted children by their social, demographic, and health characteristics. We examined whether parental characteristics predicted the likelihood of a child belonging to each latent class using a multinomial logit regression model. We found there to be 5 distinct groups of stunted children; “poor, older, and poor health‐related outcomes,” “poor, young, and poorest health‐related outcomes,” “poor with mixed health‐related outcomes,” “wealthy and good health‐related outcomes,” and “typical traits.” Both mother and father's educational attainment, body mass index, and height were important predictors of class membership. Our findings demonstrate evidence that there is heterogeneity of the risk factors and behaviours among children who are stunted. It suggests that stunting is not a singular concept; rather, there are multiple experiences represented by our “types” of stunting. Adopting a multidimensional approach to conceptualising stunting may be important for improving the design and targeting of interventions for managing stunting. |
format | Online Article Text |
id | pubmed-6055611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60556112018-07-23 Distinct clusters of stunted children in India: An observational study Green, Mark A. Corsi, Daniel J. Mejía‐Guevara, Ivan Subramanian, S. V. Matern Child Nutr Original Articles Childhood stunting is often conceptualised as a singular concept (i.e., stunted or not), and such an approach implies similarity in the experiences of children who are stunted. Furthermore, risk factors for stunting are often treated in isolation, and limited research has examined how multiple risk factors interact together. Our aim was to examine whether there are subgroups among stunted children, and if parental characteristics influence the likelihood of these subgroups among children. Children who were stunted were identified from the 2005–2006 Indian National Family Health Survey (n = 12,417). Latent class analysis was used to explore the existence of subgroups among stunted children by their social, demographic, and health characteristics. We examined whether parental characteristics predicted the likelihood of a child belonging to each latent class using a multinomial logit regression model. We found there to be 5 distinct groups of stunted children; “poor, older, and poor health‐related outcomes,” “poor, young, and poorest health‐related outcomes,” “poor with mixed health‐related outcomes,” “wealthy and good health‐related outcomes,” and “typical traits.” Both mother and father's educational attainment, body mass index, and height were important predictors of class membership. Our findings demonstrate evidence that there is heterogeneity of the risk factors and behaviours among children who are stunted. It suggests that stunting is not a singular concept; rather, there are multiple experiences represented by our “types” of stunting. Adopting a multidimensional approach to conceptualising stunting may be important for improving the design and targeting of interventions for managing stunting. John Wiley and Sons Inc. 2018-02-23 /pmc/articles/PMC6055611/ /pubmed/29473697 http://dx.doi.org/10.1111/mcn.12592 Text en © 2018 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Green, Mark A. Corsi, Daniel J. Mejía‐Guevara, Ivan Subramanian, S. V. Distinct clusters of stunted children in India: An observational study |
title | Distinct clusters of stunted children in India: An observational study |
title_full | Distinct clusters of stunted children in India: An observational study |
title_fullStr | Distinct clusters of stunted children in India: An observational study |
title_full_unstemmed | Distinct clusters of stunted children in India: An observational study |
title_short | Distinct clusters of stunted children in India: An observational study |
title_sort | distinct clusters of stunted children in india: an observational study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055611/ https://www.ncbi.nlm.nih.gov/pubmed/29473697 http://dx.doi.org/10.1111/mcn.12592 |
work_keys_str_mv | AT greenmarka distinctclustersofstuntedchildreninindiaanobservationalstudy AT corsidanielj distinctclustersofstuntedchildreninindiaanobservationalstudy AT mejiaguevaraivan distinctclustersofstuntedchildreninindiaanobservationalstudy AT subramaniansv distinctclustersofstuntedchildreninindiaanobservationalstudy |