Cargando…

Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data

BACKGROUND: Low birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determi...

Descripción completa

Detalles Bibliográficos
Autores principales: Kundu, Ramendra Nath, Ghosh, Anushka, Chhetri, Birshikha, Saha, Indranil, Hossain, Md. Golam, Bharati, Premananda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464394/
https://www.ncbi.nlm.nih.gov/pubmed/37641012
http://dx.doi.org/10.1186/s12884-023-05934-6
_version_ 1785098460066742272
author Kundu, Ramendra Nath
Ghosh, Anushka
Chhetri, Birshikha
Saha, Indranil
Hossain, Md. Golam
Bharati, Premananda
author_facet Kundu, Ramendra Nath
Ghosh, Anushka
Chhetri, Birshikha
Saha, Indranil
Hossain, Md. Golam
Bharati, Premananda
author_sort Kundu, Ramendra Nath
collection PubMed
description BACKGROUND: Low birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determinants across the whole country is essential to formulate regional and area-specific interventions. The objective of this study was to find out the burden and determinants of LBW on the regional and residential (rural–urban) divisions of India. METHODS: The present study was based on the NFHS-5 dataset (2019–21), a nationally representative survey in India. A total of 209,223 births were included in this study. A newborn weighing less than 2500 g was considered as LBW. According to the objectives, we used frequency distribution, chi-square test and binary logistic regression analysis for analysing the data. RESULTS: About 18.24% of the babies were LBW in India, significantly higher in rural areas than in urban areas (18.58% vs 17.36%). Regionally prevalence was more frequent in western (20.63%) and central (20.16%) rural areas. Regarding maternal concerns, in the eastern and southern regions of India, mothers aged 25–34 were less likely to have LBW children than mothers aged 35–49 years. It was found that the risk of LBW was more likely among the children born out of unintended pregnancies in almost all regions except for eastern part. In rural India, women who delivered children at home were more likely to have LBW children in India (AOR = 1.19, CI: 1.12–1.28, p < 0.001) and its central, northern, and southern regions than those who gave birth in institutions. The study indicates that LBW coexists with lower maternal education levels and poor household wealth index across all regions. About 58% and 57% of cumulative effects of independent variables on LBW can be distinguished in urban and rural India, respectively. CONCLUSIONS: Targeted-specific strategies need to be undertaken as per region and geographical variations. Then only India should be able to decline LBW as proposed by National Health Policy.
format Online
Article
Text
id pubmed-10464394
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-104643942023-08-30 Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data Kundu, Ramendra Nath Ghosh, Anushka Chhetri, Birshikha Saha, Indranil Hossain, Md. Golam Bharati, Premananda BMC Pregnancy Childbirth Research BACKGROUND: Low birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determinants across the whole country is essential to formulate regional and area-specific interventions. The objective of this study was to find out the burden and determinants of LBW on the regional and residential (rural–urban) divisions of India. METHODS: The present study was based on the NFHS-5 dataset (2019–21), a nationally representative survey in India. A total of 209,223 births were included in this study. A newborn weighing less than 2500 g was considered as LBW. According to the objectives, we used frequency distribution, chi-square test and binary logistic regression analysis for analysing the data. RESULTS: About 18.24% of the babies were LBW in India, significantly higher in rural areas than in urban areas (18.58% vs 17.36%). Regionally prevalence was more frequent in western (20.63%) and central (20.16%) rural areas. Regarding maternal concerns, in the eastern and southern regions of India, mothers aged 25–34 were less likely to have LBW children than mothers aged 35–49 years. It was found that the risk of LBW was more likely among the children born out of unintended pregnancies in almost all regions except for eastern part. In rural India, women who delivered children at home were more likely to have LBW children in India (AOR = 1.19, CI: 1.12–1.28, p < 0.001) and its central, northern, and southern regions than those who gave birth in institutions. The study indicates that LBW coexists with lower maternal education levels and poor household wealth index across all regions. About 58% and 57% of cumulative effects of independent variables on LBW can be distinguished in urban and rural India, respectively. CONCLUSIONS: Targeted-specific strategies need to be undertaken as per region and geographical variations. Then only India should be able to decline LBW as proposed by National Health Policy. BioMed Central 2023-08-28 /pmc/articles/PMC10464394/ /pubmed/37641012 http://dx.doi.org/10.1186/s12884-023-05934-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Kundu, Ramendra Nath
Ghosh, Anushka
Chhetri, Birshikha
Saha, Indranil
Hossain, Md. Golam
Bharati, Premananda
Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data
title Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data
title_full Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data
title_fullStr Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data
title_full_unstemmed Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data
title_short Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data
title_sort regional with urban–rural variation in low birth weight and its determinants of indian children: findings from national family health survey 5 data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464394/
https://www.ncbi.nlm.nih.gov/pubmed/37641012
http://dx.doi.org/10.1186/s12884-023-05934-6
work_keys_str_mv AT kunduramendranath regionalwithurbanruralvariationinlowbirthweightanditsdeterminantsofindianchildrenfindingsfromnationalfamilyhealthsurvey5data
AT ghoshanushka regionalwithurbanruralvariationinlowbirthweightanditsdeterminantsofindianchildrenfindingsfromnationalfamilyhealthsurvey5data
AT chhetribirshikha regionalwithurbanruralvariationinlowbirthweightanditsdeterminantsofindianchildrenfindingsfromnationalfamilyhealthsurvey5data
AT sahaindranil regionalwithurbanruralvariationinlowbirthweightanditsdeterminantsofindianchildrenfindingsfromnationalfamilyhealthsurvey5data
AT hossainmdgolam regionalwithurbanruralvariationinlowbirthweightanditsdeterminantsofindianchildrenfindingsfromnationalfamilyhealthsurvey5data
AT bharatipremananda regionalwithurbanruralvariationinlowbirthweightanditsdeterminantsofindianchildrenfindingsfromnationalfamilyhealthsurvey5data