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Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey

BACKGROUND: Childhood undernutrition is a significant public health issue in low-and middle-income countries, including Nepal. However, there is limited evidence showing the association between the planning of birth (PoB) and childhood undernutrition (stunting and underweight). We aimed to investiga...

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Autores principales: Tiwari, Ishwar, Acharya, Kiran, Paudel, Yuba Raj, Sapkota, Bhim Prasad, Kafle, Ramesh Babu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690195/
https://www.ncbi.nlm.nih.gov/pubmed/33238952
http://dx.doi.org/10.1186/s12889-020-09915-8
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author Tiwari, Ishwar
Acharya, Kiran
Paudel, Yuba Raj
Sapkota, Bhim Prasad
Kafle, Ramesh Babu
author_facet Tiwari, Ishwar
Acharya, Kiran
Paudel, Yuba Raj
Sapkota, Bhim Prasad
Kafle, Ramesh Babu
author_sort Tiwari, Ishwar
collection PubMed
description BACKGROUND: Childhood undernutrition is a significant public health issue in low-and middle-income countries, including Nepal. However, there is limited evidence showing the association between the planning of birth (PoB) and childhood undernutrition (stunting and underweight). We aimed to investigate the relationship between PoB and childhood undernutrition in the current study. METHODS: We used the Nepal Demographic and Health Survey (NDHS) 2016 data, a nationally representative cross-sectional household survey. We used two anthropometric indicators of childhood undernutrition as the outcome of this study. PoB is the main predictor. We used binary logistic regression with sampling weights to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to examine the association between the PoB and childhood undernutrition. Unless stated, the significant association between the variables is calculated with p < 0.001. RESULTS: The overall prevalence of stunting was 35.8%, and underweight was 27.1% in children under 5 years of age in Nepal. We found a higher rate of stunting (52.7%) and underweight (41.1%) in children with birth order > 3 and < 2 years of the interval between birth and subsequent birth (IBBSB). The association between the children’s birth order and the prevalence of undernutrition had strong statistical significance. Mother’s age at marriage (p = 0.001), underweight mother, mother’s education, father’s education, wealth quintile, no exposure to mass media, children’s age, and place of residence(p = 0.001) were significantly associated with childhood undernutrition. The result of the multiple logistic regression showed that children with birth order one and 12–24 months of the interval between marriage and first birth (IBMFB) had significantly decreased odds of stunting than those children with birth order one and < 12 months of IBMFB (OR 0.6, 95% CI 0.4–0.9). CONCLUSION: The findings of the study demonstrate that PoB has a protective effect on childhood undernutrition. Delaying of childbirth until 12–24 months after marriage was found to be associated with reduced childhood stunting odds. To mitigate childhood undernutrition, Nepal’s government needs to promote delayed childbearing after marriage while focusing on uplifting the household economics status and wide coverage of and utilization of mass media.
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spelling pubmed-76901952020-11-30 Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey Tiwari, Ishwar Acharya, Kiran Paudel, Yuba Raj Sapkota, Bhim Prasad Kafle, Ramesh Babu BMC Public Health Research Article BACKGROUND: Childhood undernutrition is a significant public health issue in low-and middle-income countries, including Nepal. However, there is limited evidence showing the association between the planning of birth (PoB) and childhood undernutrition (stunting and underweight). We aimed to investigate the relationship between PoB and childhood undernutrition in the current study. METHODS: We used the Nepal Demographic and Health Survey (NDHS) 2016 data, a nationally representative cross-sectional household survey. We used two anthropometric indicators of childhood undernutrition as the outcome of this study. PoB is the main predictor. We used binary logistic regression with sampling weights to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to examine the association between the PoB and childhood undernutrition. Unless stated, the significant association between the variables is calculated with p < 0.001. RESULTS: The overall prevalence of stunting was 35.8%, and underweight was 27.1% in children under 5 years of age in Nepal. We found a higher rate of stunting (52.7%) and underweight (41.1%) in children with birth order > 3 and < 2 years of the interval between birth and subsequent birth (IBBSB). The association between the children’s birth order and the prevalence of undernutrition had strong statistical significance. Mother’s age at marriage (p = 0.001), underweight mother, mother’s education, father’s education, wealth quintile, no exposure to mass media, children’s age, and place of residence(p = 0.001) were significantly associated with childhood undernutrition. The result of the multiple logistic regression showed that children with birth order one and 12–24 months of the interval between marriage and first birth (IBMFB) had significantly decreased odds of stunting than those children with birth order one and < 12 months of IBMFB (OR 0.6, 95% CI 0.4–0.9). CONCLUSION: The findings of the study demonstrate that PoB has a protective effect on childhood undernutrition. Delaying of childbirth until 12–24 months after marriage was found to be associated with reduced childhood stunting odds. To mitigate childhood undernutrition, Nepal’s government needs to promote delayed childbearing after marriage while focusing on uplifting the household economics status and wide coverage of and utilization of mass media. BioMed Central 2020-11-25 /pmc/articles/PMC7690195/ /pubmed/33238952 http://dx.doi.org/10.1186/s12889-020-09915-8 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Tiwari, Ishwar
Acharya, Kiran
Paudel, Yuba Raj
Sapkota, Bhim Prasad
Kafle, Ramesh Babu
Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey
title Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey
title_full Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey
title_fullStr Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey
title_full_unstemmed Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey
title_short Planning of births and childhood undernutrition in Nepal: evidence from a 2016 national survey
title_sort planning of births and childhood undernutrition in nepal: evidence from a 2016 national survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690195/
https://www.ncbi.nlm.nih.gov/pubmed/33238952
http://dx.doi.org/10.1186/s12889-020-09915-8
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