Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression

IntroductionAnemia is a critical global public health issue, especially among women of reproductive age (15–49 years) in low- and middle-income countries. Mozambique has the highest prevalence of anemia in women of reproductive age in Sub Saharan Africa in 2019. This study aims to assess the spatial...

Full description

Saved in:
Bibliographic Details
Main Authors: Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1502177/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849723021689880576
author Deresse Abebe Gebrehana
Tadesse Tarik Tamir
Gebretsadik Endeshaw Molla
Yishak Kebede
Dejen Tegegne
Solomon Gedlu Nigatu
Araya Mesfin Nigatu
author_facet Deresse Abebe Gebrehana
Tadesse Tarik Tamir
Gebretsadik Endeshaw Molla
Yishak Kebede
Dejen Tegegne
Solomon Gedlu Nigatu
Araya Mesfin Nigatu
author_sort Deresse Abebe Gebrehana
collection DOAJ
description IntroductionAnemia is a critical global public health issue, especially among women of reproductive age (15–49 years) in low- and middle-income countries. Mozambique has the highest prevalence of anemia in women of reproductive age in Sub Saharan Africa in 2019. This study aims to assess the spatial variation and predictors of anemia among women of reproductive age in Mozambique.MethodsIndividual record and spatial coordinates data from the Mozambique Demographic and Health Survey (DHS 2022/23) were used. A stratified two-stage cluster sampling method was applied. Global autocorrelation analysis was performed to determine clustering of anemia. A weighted sample of 5,907 women of reproductive age was analyzed using ArcGIS 10.7. Multiscale geographically weighted regression was employed to identify predictors of anemia.ResultsThe national prevalence of anemia among women of reproductive age in Mozambique was 51.89% (95% CI: 50.66, 53.12%). Higher rates were observed in Nampula, Zambezia, and Sofala. Unimproved drinking water, pregnancy, and being underweight were positively correlated with anemia, while contraceptive use and obesity were negatively correlated. Geographic variability in these associations was evident (Global Moran’s I = 0.0.444359 and p < 0.001). Anemia was the highest in Tete and Manica due to unimproved drinking water the effect of pregnancy on anemia was significant in Manica and Sofala. Being underweight was strongly related to anemia in Niassa. Conversely, contraceptive use and obesity had a protective effect in Nampula, Zambezia, Niassa, and Cabo Delgado.ConclusionAnemia remains a critical public health issue among women of reproductive age in Mozambique, with marked regional disparities. Hotspot clusters were identified in Nampula, Zambezia, Tete, and Sofala. Factors such as unimproved drinking water, pregnancy, and being underweight were associated with higher anemia rates in certain regions, while obesity and contraceptive use indicated a protective effect in specific provinces. To effectively combat anemia, policymakers should focus on improving access to clean water and maternal health services, and enhancing nutritional support through the USAID Advancing Nutrition Project, the Global Alliance for Improved Nutrition, Integrated Community Case Management, and Supervised Weekly Iron and Folic Acid Supplementation.
format Article
id doaj-art-cc98afcfb01e42e29798036870495c69
institution DOAJ
issn 2296-2565
language English
publishDate 2025-02-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Public Health
spelling doaj-art-cc98afcfb01e42e29798036870495c692025-08-20T03:11:09ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-02-011310.3389/fpubh.2025.15021771502177Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regressionDeresse Abebe Gebrehana0Tadesse Tarik Tamir1Gebretsadik Endeshaw Molla2Yishak Kebede3Dejen Tegegne4Solomon Gedlu Nigatu5Araya Mesfin Nigatu6Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaIntroductionAnemia is a critical global public health issue, especially among women of reproductive age (15–49 years) in low- and middle-income countries. Mozambique has the highest prevalence of anemia in women of reproductive age in Sub Saharan Africa in 2019. This study aims to assess the spatial variation and predictors of anemia among women of reproductive age in Mozambique.MethodsIndividual record and spatial coordinates data from the Mozambique Demographic and Health Survey (DHS 2022/23) were used. A stratified two-stage cluster sampling method was applied. Global autocorrelation analysis was performed to determine clustering of anemia. A weighted sample of 5,907 women of reproductive age was analyzed using ArcGIS 10.7. Multiscale geographically weighted regression was employed to identify predictors of anemia.ResultsThe national prevalence of anemia among women of reproductive age in Mozambique was 51.89% (95% CI: 50.66, 53.12%). Higher rates were observed in Nampula, Zambezia, and Sofala. Unimproved drinking water, pregnancy, and being underweight were positively correlated with anemia, while contraceptive use and obesity were negatively correlated. Geographic variability in these associations was evident (Global Moran’s I = 0.0.444359 and p < 0.001). Anemia was the highest in Tete and Manica due to unimproved drinking water the effect of pregnancy on anemia was significant in Manica and Sofala. Being underweight was strongly related to anemia in Niassa. Conversely, contraceptive use and obesity had a protective effect in Nampula, Zambezia, Niassa, and Cabo Delgado.ConclusionAnemia remains a critical public health issue among women of reproductive age in Mozambique, with marked regional disparities. Hotspot clusters were identified in Nampula, Zambezia, Tete, and Sofala. Factors such as unimproved drinking water, pregnancy, and being underweight were associated with higher anemia rates in certain regions, while obesity and contraceptive use indicated a protective effect in specific provinces. To effectively combat anemia, policymakers should focus on improving access to clean water and maternal health services, and enhancing nutritional support through the USAID Advancing Nutrition Project, the Global Alliance for Improved Nutrition, Integrated Community Case Management, and Supervised Weekly Iron and Folic Acid Supplementation.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1502177/fullanemiapredictorswomengeographically weightedMozambique normal
spellingShingle Deresse Abebe Gebrehana
Tadesse Tarik Tamir
Gebretsadik Endeshaw Molla
Yishak Kebede
Dejen Tegegne
Solomon Gedlu Nigatu
Araya Mesfin Nigatu
Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression
Frontiers in Public Health
anemia
predictors
women
geographically weighted
Mozambique normal
title Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression
title_full Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression
title_fullStr Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression
title_full_unstemmed Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression
title_short Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression
title_sort spatial variation and predictors of anemia among women of reproductive age in mozambique 2022 23 a multiscale geographically weighted regression
topic anemia
predictors
women
geographically weighted
Mozambique normal
url https://www.frontiersin.org/articles/10.3389/fpubh.2025.1502177/full
work_keys_str_mv AT deresseabebegebrehana spatialvariationandpredictorsofanemiaamongwomenofreproductiveageinmozambique202223amultiscalegeographicallyweightedregression
AT tadessetariktamir spatialvariationandpredictorsofanemiaamongwomenofreproductiveageinmozambique202223amultiscalegeographicallyweightedregression
AT gebretsadikendeshawmolla spatialvariationandpredictorsofanemiaamongwomenofreproductiveageinmozambique202223amultiscalegeographicallyweightedregression
AT yishakkebede spatialvariationandpredictorsofanemiaamongwomenofreproductiveageinmozambique202223amultiscalegeographicallyweightedregression
AT dejentegegne spatialvariationandpredictorsofanemiaamongwomenofreproductiveageinmozambique202223amultiscalegeographicallyweightedregression
AT solomongedlunigatu spatialvariationandpredictorsofanemiaamongwomenofreproductiveageinmozambique202223amultiscalegeographicallyweightedregression
AT arayamesfinnigatu spatialvariationandpredictorsofanemiaamongwomenofreproductiveageinmozambique202223amultiscalegeographicallyweightedregression