Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis

Background Globally, malnutrition among women of reproductive age is on the rise and significantly contributing to non-communicable disease, deaths and disability. Even though the double burden of malnutrition (DBM) is a common problem among women in sub-Saharan Africa (SSA), there are limited studi...

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Main Authors: Bruck Tesfaye Legesse, Beminate Lemma Seifu, Kusse Urmale Mare, Tsion Mulat Tebeje
Format: Article
Language:English
Published: BMJ Publishing Group 2024-02-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/2/e073447.full
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author Bruck Tesfaye Legesse
Beminate Lemma Seifu
Kusse Urmale Mare
Tsion Mulat Tebeje
author_facet Bruck Tesfaye Legesse
Beminate Lemma Seifu
Kusse Urmale Mare
Tsion Mulat Tebeje
author_sort Bruck Tesfaye Legesse
collection DOAJ
description Background Globally, malnutrition among women of reproductive age is on the rise and significantly contributing to non-communicable disease, deaths and disability. Even though the double burden of malnutrition (DBM) is a common problem among women in sub-Saharan Africa (SSA), there are limited studies examining the factors contributing to underweight, overweight, and obesity at the SSA level.Objective To determine the factors associated with the DBM, and their relative magnitude, among women of reproductive age in SSA.Design Cross-sectional study design.Setting 33 SSA countries.Participants 240 414 women of reproductive age.Primary and secondary outcome measures A multilevel multinomial logistic regression model was applied to identify factors associated with malnutrition. The adjusted relative risk ratio with 95% CI was used to declare the statistical significance of the association.Results The pooled prevalence of underweight, overweight and obesity among women in SSA were 8.87%, 16.47% and 6.10%, respectively. Women who are from rural residence and smoke cigarettes were more likely to be underweight. Conversely, women between the age of 24–34 and 35–49, who have higher education, belong to a middle and rich household, are ever married, have high parity, use contraceptives, have media exposure and smoke cigarettes were more likely to be overweight and/or obese.Conclusion The findings of our study suggest that certain factors such as residence, education status, wealth, marital status, occupation, cigarette smoking, and contraceptive use have a significant assocation with malnutrition among women. Therefore, it is important for public health programs aimed at preventing the double burden of malnutrition to focus on these factors through comprehensive public awareness and cost-effective operational health interventions.
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spelling doaj.art-bfd3ee9779f845fd8b23358e1422b6fa2024-03-06T17:40:08ZengBMJ Publishing GroupBMJ Open2044-60552024-02-0114210.1136/bmjopen-2023-073447Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysisBruck Tesfaye Legesse0Beminate Lemma Seifu1Kusse Urmale Mare2Tsion Mulat Tebeje3Department of Pediatrics and Neonatal Nursing, School of Nursing and Midwifery, Institute of Health Sciences, Wollega University, Nekemte, EthiopiaDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, EthiopiaDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, EthiopiaSchool of Public Health, College of health sciences and Medicine, Dilla University, Dilla, EthiopiaBackground Globally, malnutrition among women of reproductive age is on the rise and significantly contributing to non-communicable disease, deaths and disability. Even though the double burden of malnutrition (DBM) is a common problem among women in sub-Saharan Africa (SSA), there are limited studies examining the factors contributing to underweight, overweight, and obesity at the SSA level.Objective To determine the factors associated with the DBM, and their relative magnitude, among women of reproductive age in SSA.Design Cross-sectional study design.Setting 33 SSA countries.Participants 240 414 women of reproductive age.Primary and secondary outcome measures A multilevel multinomial logistic regression model was applied to identify factors associated with malnutrition. The adjusted relative risk ratio with 95% CI was used to declare the statistical significance of the association.Results The pooled prevalence of underweight, overweight and obesity among women in SSA were 8.87%, 16.47% and 6.10%, respectively. Women who are from rural residence and smoke cigarettes were more likely to be underweight. Conversely, women between the age of 24–34 and 35–49, who have higher education, belong to a middle and rich household, are ever married, have high parity, use contraceptives, have media exposure and smoke cigarettes were more likely to be overweight and/or obese.Conclusion The findings of our study suggest that certain factors such as residence, education status, wealth, marital status, occupation, cigarette smoking, and contraceptive use have a significant assocation with malnutrition among women. Therefore, it is important for public health programs aimed at preventing the double burden of malnutrition to focus on these factors through comprehensive public awareness and cost-effective operational health interventions.https://bmjopen.bmj.com/content/14/2/e073447.full
spellingShingle Bruck Tesfaye Legesse
Beminate Lemma Seifu
Kusse Urmale Mare
Tsion Mulat Tebeje
Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis
BMJ Open
title Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_full Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_fullStr Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_full_unstemmed Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_short Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_sort double burden of malnutrition and associated factors among women of reproductive age in sub saharan africa a multilevel multinomial logistic regression analysis
url https://bmjopen.bmj.com/content/14/2/e073447.full
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