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Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016

BACKGROUND: The average prevalence of stunting reported by the Nepal Demographic Health Survey from 2001 to 2016 only reports the prevalence of stunting at the national level and provincial and district level information is missing. Also, no previous study has reported a provincial trend in stunting...

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Autores principales: Nepali, Sajama, Simkhada, Padam, Thapa, Balaram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661771/
https://www.ncbi.nlm.nih.gov/pubmed/36376965
http://dx.doi.org/10.1186/s40795-022-00629-1
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author Nepali, Sajama
Simkhada, Padam
Thapa, Balaram
author_facet Nepali, Sajama
Simkhada, Padam
Thapa, Balaram
author_sort Nepali, Sajama
collection PubMed
description BACKGROUND: The average prevalence of stunting reported by the Nepal Demographic Health Survey from 2001 to 2016 only reports the prevalence of stunting at the national level and provincial and district level information is missing. Also, no previous study has reported a provincial trend in stunting from 2001 to 2016 in Nepal. This study for the first time presents the spatial trend of stunting among children under five years for 7 provinces and 77 districts of Nepal over 15 years using Demographic Health Survey Global Positioning System coordinates, Demographic Health Survey indicators, and geospatial covariates. METHODS: This is a secondary analysis of data from Nepal Demographic Health Survey from 2001 to 2016. The study population was children under five years. The outcome variable was stunting, which was analyzed as per districts and provinces. Sample weight was applied to calculate the percentage of stunting and 95% confidence interval for all survey years. The geographic dataset was used to provide information about the latitude and longitude of the survey cluster. Poisson-based model was used during the purely spatial analysis in SatScan for identification of clusters with stunting caseload. RESULTS: The reduction in the prevalence of stunting among children under five years has not been equal when disaggregated for district and provincial level data. In 2001, 57 districts had a prevalence of stunting among children above or equal to 50%, which has reduced over time except for districts in Karnali province. In 2016, 16 districts had a prevalence of stunting above or equal to 50%. Jumla (91.7%) and Kalikot (77.8%) still had the highest prevalence of stunting as of 2001. Among 7 provinces, the prevalence of stunting is found highest in Karnali for all subsequent survey years. Sudurpaschim and Madhesh provinces also had a high proportion of stunted children. The highest reduction in the prevalence of stunting was noted for Province Bagmati (by 30%) and Gandaki (by 28%). CONCLUSION: The inequalities in childhood stunting persisted at the district and provincial levels although a good decline was noted at the national level. This calls for rigorous attention to be provided to districts and provinces with a high prevalence of stunting, and being prioritized for a targeted intervention.
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spelling pubmed-96617712022-11-15 Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016 Nepali, Sajama Simkhada, Padam Thapa, Balaram BMC Nutr Research BACKGROUND: The average prevalence of stunting reported by the Nepal Demographic Health Survey from 2001 to 2016 only reports the prevalence of stunting at the national level and provincial and district level information is missing. Also, no previous study has reported a provincial trend in stunting from 2001 to 2016 in Nepal. This study for the first time presents the spatial trend of stunting among children under five years for 7 provinces and 77 districts of Nepal over 15 years using Demographic Health Survey Global Positioning System coordinates, Demographic Health Survey indicators, and geospatial covariates. METHODS: This is a secondary analysis of data from Nepal Demographic Health Survey from 2001 to 2016. The study population was children under five years. The outcome variable was stunting, which was analyzed as per districts and provinces. Sample weight was applied to calculate the percentage of stunting and 95% confidence interval for all survey years. The geographic dataset was used to provide information about the latitude and longitude of the survey cluster. Poisson-based model was used during the purely spatial analysis in SatScan for identification of clusters with stunting caseload. RESULTS: The reduction in the prevalence of stunting among children under five years has not been equal when disaggregated for district and provincial level data. In 2001, 57 districts had a prevalence of stunting among children above or equal to 50%, which has reduced over time except for districts in Karnali province. In 2016, 16 districts had a prevalence of stunting above or equal to 50%. Jumla (91.7%) and Kalikot (77.8%) still had the highest prevalence of stunting as of 2001. Among 7 provinces, the prevalence of stunting is found highest in Karnali for all subsequent survey years. Sudurpaschim and Madhesh provinces also had a high proportion of stunted children. The highest reduction in the prevalence of stunting was noted for Province Bagmati (by 30%) and Gandaki (by 28%). CONCLUSION: The inequalities in childhood stunting persisted at the district and provincial levels although a good decline was noted at the national level. This calls for rigorous attention to be provided to districts and provinces with a high prevalence of stunting, and being prioritized for a targeted intervention. BioMed Central 2022-11-14 /pmc/articles/PMC9661771/ /pubmed/36376965 http://dx.doi.org/10.1186/s40795-022-00629-1 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
Nepali, Sajama
Simkhada, Padam
Thapa, Balaram
Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016
title Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016
title_full Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016
title_fullStr Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016
title_full_unstemmed Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016
title_short Spatial analysis of provincial and district trends in stunting among children under five years in Nepal from 2001 to 2016
title_sort spatial analysis of provincial and district trends in stunting among children under five years in nepal from 2001 to 2016
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661771/
https://www.ncbi.nlm.nih.gov/pubmed/36376965
http://dx.doi.org/10.1186/s40795-022-00629-1
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