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Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey
OBJECTIVES: This study aims to identify the child-level, maternal-level, household-level and community-level determinants of anaemia among children aged 6–59 months, and determine the inequities of anaemia prevalence across communities in Mozambique. DESIGN: Cross-sectional study. SETTING: Mozambiqu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718414/ http://dx.doi.org/10.1136/bmjopen-2021-051395 |
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author | Muhajarine, Nazeem Adeyinka, Daniel A Matandalasse, Mbate Chicumbe, Sergio |
author_facet | Muhajarine, Nazeem Adeyinka, Daniel A Matandalasse, Mbate Chicumbe, Sergio |
author_sort | Muhajarine, Nazeem |
collection | PubMed |
description | OBJECTIVES: This study aims to identify the child-level, maternal-level, household-level and community-level determinants of anaemia among children aged 6–59 months, and determine the inequities of anaemia prevalence across communities in Mozambique. DESIGN: Cross-sectional study. SETTING: Mozambique. PARTICIPANTS: This study used data of a weighted population of 3946 children, 6–59 months, delivered by women between 15 and 49 years of age, from the 2018 Mozambique Malaria Indicator Survey. PRIMARY OUTCOME MEASURE: Child’s anaemic status, measured as altitude-adjusted haemoglobin concentration (in g/L); the severity of anaemia was categorised based on predefined threshold values. Multilevel Bayesian linear regressions identified key determinants of childhood anaemia. Based on data availability and policy implications, spatial analysis was used to determine geographical variation of anaemia at the community level and areas with higher risks. RESULTS: The mean prevalence of childhood anaemia was 77.7% (SD: 5.5%). Provincially, Cabo Delgado province (86.2%) had the highest prevalence, Maputo province (70.2%) the lowest. Children with excess risk were mostly found in communities that had proximity to provincial borders: Niassa-Cabo Delgado-Nampula triprovincial border, Gaza-Inhambane border, Zambezia-Nampula border and provinces of Manica and Inhambane. Children with anaemia tended to be younger, males and at risk of having malaria because they were not sleeping under mosquito nets. In addition, children from poor families relative to children from wealthier households and those living in female-headed households were prone to anaemia. CONCLUSION: Findings from this study provide evidence that spatial inequities in childhood anaemia exist in Mozambique, mostly concentrated in the communities living close to the provincial borders. Anaemia among children could be effectively reduced through malaria prevention, for example, bed netting. Interventions are needed that generate income for households, increase community support for households headed by women, improve malaria control, build capacity of healthcare workers to manage severely anaemic children and health education for mothers. |
format | Online Article Text |
id | pubmed-8718414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-87184142022-01-12 Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey Muhajarine, Nazeem Adeyinka, Daniel A Matandalasse, Mbate Chicumbe, Sergio BMJ Open Public Health OBJECTIVES: This study aims to identify the child-level, maternal-level, household-level and community-level determinants of anaemia among children aged 6–59 months, and determine the inequities of anaemia prevalence across communities in Mozambique. DESIGN: Cross-sectional study. SETTING: Mozambique. PARTICIPANTS: This study used data of a weighted population of 3946 children, 6–59 months, delivered by women between 15 and 49 years of age, from the 2018 Mozambique Malaria Indicator Survey. PRIMARY OUTCOME MEASURE: Child’s anaemic status, measured as altitude-adjusted haemoglobin concentration (in g/L); the severity of anaemia was categorised based on predefined threshold values. Multilevel Bayesian linear regressions identified key determinants of childhood anaemia. Based on data availability and policy implications, spatial analysis was used to determine geographical variation of anaemia at the community level and areas with higher risks. RESULTS: The mean prevalence of childhood anaemia was 77.7% (SD: 5.5%). Provincially, Cabo Delgado province (86.2%) had the highest prevalence, Maputo province (70.2%) the lowest. Children with excess risk were mostly found in communities that had proximity to provincial borders: Niassa-Cabo Delgado-Nampula triprovincial border, Gaza-Inhambane border, Zambezia-Nampula border and provinces of Manica and Inhambane. Children with anaemia tended to be younger, males and at risk of having malaria because they were not sleeping under mosquito nets. In addition, children from poor families relative to children from wealthier households and those living in female-headed households were prone to anaemia. CONCLUSION: Findings from this study provide evidence that spatial inequities in childhood anaemia exist in Mozambique, mostly concentrated in the communities living close to the provincial borders. Anaemia among children could be effectively reduced through malaria prevention, for example, bed netting. Interventions are needed that generate income for households, increase community support for households headed by women, improve malaria control, build capacity of healthcare workers to manage severely anaemic children and health education for mothers. BMJ Publishing Group 2021-12-30 /pmc/articles/PMC8718414/ http://dx.doi.org/10.1136/bmjopen-2021-051395 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Public Health Muhajarine, Nazeem Adeyinka, Daniel A Matandalasse, Mbate Chicumbe, Sergio Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey |
title | Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey |
title_full | Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey |
title_fullStr | Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey |
title_full_unstemmed | Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey |
title_short | Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey |
title_sort | inequities in childhood anaemia at provincial borders in mozambique: cross-sectional study results from multilevel bayesian analysis of 2018 national malaria indicator survey |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718414/ http://dx.doi.org/10.1136/bmjopen-2021-051395 |
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