Cargando…

Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016

BACKGROUND: Women are at risk of undernutrition due to biological, socio-economic, and cultural factors. Undernourished women have higher risk of poor obstetric outcomes. We aimed to determine the prevalence and factors associated with undernutrition among women of reproductive age in Uganda. METHOD...

Descripción completa

Detalles Bibliográficos
Autores principales: Sserwanja, Quraish, Mukunya, David, Habumugisha, Theogene, Mutisya, Linet M., Tuke, Robert, Olal, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607648/
https://www.ncbi.nlm.nih.gov/pubmed/33143673
http://dx.doi.org/10.1186/s12889-020-09775-2
_version_ 1783604682493526016
author Sserwanja, Quraish
Mukunya, David
Habumugisha, Theogene
Mutisya, Linet M.
Tuke, Robert
Olal, Emmanuel
author_facet Sserwanja, Quraish
Mukunya, David
Habumugisha, Theogene
Mutisya, Linet M.
Tuke, Robert
Olal, Emmanuel
author_sort Sserwanja, Quraish
collection PubMed
description BACKGROUND: Women are at risk of undernutrition due to biological, socio-economic, and cultural factors. Undernourished women have higher risk of poor obstetric outcomes. We aimed to determine the prevalence and factors associated with undernutrition among women of reproductive age in Uganda. METHODS: We used Uganda Demographic and Health Survey (UDHS) 2016 data of 4640 women aged 20 to 49 years excluding pregnant and post-menopausal women. Multistage stratified sampling was used to select study participants and data were collected using validated questionnaires. We used multivariable logistic regression to determine factors associated with underweight and stunting among 20 to 49 year old women in Uganda. RESULTS: The prevalence of underweight and stunting were 6.9% (318/4640) and 1.3% (58/4640) respectively. Women who belonged to the poorest wealth quintile (Adjusted Odds Ratio (AOR) 3.60, 95% CI 1.85–7.00) were more likely to be underweight compared to those who belonged to the richest wealth quintile. Women residing in rural areas were less likely to be underweight (AOR 0.63, 95%CI 0.41–0.96) compared to women in urban areas. Women in Western (AOR 0.30, 95% CI 0.20–0.44), Eastern (AOR 0.42, 95% CI 0.28–0.63) and Central regions (AOR 0.42, 95% CI 0.25–0.72) were less likely to be underweight compared to those in the Northern region. Women belonging to Central (AOR 4.37, 95% CI 1.44–13.20) and Western (AOR 4.77, 95% CI 1.28–17.78) regions were more likely to be stunted compared to those in the Northern region. CONCLUSION: The present study showed wealth index, place of residence and region to be associated with undernutrition among 20 to 49 year old women in Uganda. There is need to address socio-economic determinants of maternal undernutrition mainly poverty and regional inequalities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-09775-2.
format Online
Article
Text
id pubmed-7607648
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-76076482020-11-03 Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016 Sserwanja, Quraish Mukunya, David Habumugisha, Theogene Mutisya, Linet M. Tuke, Robert Olal, Emmanuel BMC Public Health Research Article BACKGROUND: Women are at risk of undernutrition due to biological, socio-economic, and cultural factors. Undernourished women have higher risk of poor obstetric outcomes. We aimed to determine the prevalence and factors associated with undernutrition among women of reproductive age in Uganda. METHODS: We used Uganda Demographic and Health Survey (UDHS) 2016 data of 4640 women aged 20 to 49 years excluding pregnant and post-menopausal women. Multistage stratified sampling was used to select study participants and data were collected using validated questionnaires. We used multivariable logistic regression to determine factors associated with underweight and stunting among 20 to 49 year old women in Uganda. RESULTS: The prevalence of underweight and stunting were 6.9% (318/4640) and 1.3% (58/4640) respectively. Women who belonged to the poorest wealth quintile (Adjusted Odds Ratio (AOR) 3.60, 95% CI 1.85–7.00) were more likely to be underweight compared to those who belonged to the richest wealth quintile. Women residing in rural areas were less likely to be underweight (AOR 0.63, 95%CI 0.41–0.96) compared to women in urban areas. Women in Western (AOR 0.30, 95% CI 0.20–0.44), Eastern (AOR 0.42, 95% CI 0.28–0.63) and Central regions (AOR 0.42, 95% CI 0.25–0.72) were less likely to be underweight compared to those in the Northern region. Women belonging to Central (AOR 4.37, 95% CI 1.44–13.20) and Western (AOR 4.77, 95% CI 1.28–17.78) regions were more likely to be stunted compared to those in the Northern region. CONCLUSION: The present study showed wealth index, place of residence and region to be associated with undernutrition among 20 to 49 year old women in Uganda. There is need to address socio-economic determinants of maternal undernutrition mainly poverty and regional inequalities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-09775-2. BioMed Central 2020-11-03 /pmc/articles/PMC7607648/ /pubmed/33143673 http://dx.doi.org/10.1186/s12889-020-09775-2 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
Sserwanja, Quraish
Mukunya, David
Habumugisha, Theogene
Mutisya, Linet M.
Tuke, Robert
Olal, Emmanuel
Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016
title Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016
title_full Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016
title_fullStr Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016
title_full_unstemmed Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016
title_short Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016
title_sort factors associated with undernutrition among 20 to 49 year old women in uganda: a secondary analysis of the uganda demographic health survey 2016
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607648/
https://www.ncbi.nlm.nih.gov/pubmed/33143673
http://dx.doi.org/10.1186/s12889-020-09775-2
work_keys_str_mv AT sserwanjaquraish factorsassociatedwithundernutritionamong20to49yearoldwomeninugandaasecondaryanalysisoftheugandademographichealthsurvey2016
AT mukunyadavid factorsassociatedwithundernutritionamong20to49yearoldwomeninugandaasecondaryanalysisoftheugandademographichealthsurvey2016
AT habumugishatheogene factorsassociatedwithundernutritionamong20to49yearoldwomeninugandaasecondaryanalysisoftheugandademographichealthsurvey2016
AT mutisyalinetm factorsassociatedwithundernutritionamong20to49yearoldwomeninugandaasecondaryanalysisoftheugandademographichealthsurvey2016
AT tukerobert factorsassociatedwithundernutritionamong20to49yearoldwomeninugandaasecondaryanalysisoftheugandademographichealthsurvey2016
AT olalemmanuel factorsassociatedwithundernutritionamong20to49yearoldwomeninugandaasecondaryanalysisoftheugandademographichealthsurvey2016