Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.

<h4>Background</h4>Low birth weight (LBW) is one of the major determinants of perinatal survival, infant morbidity, and mortality, as well as the risk of developmental disabilities and illnesses in future lives. Though studies were conducted to assess the magnitude and associated factors...

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Main Authors: Zemenu Tadesse Tessema, Koku Sisay Tamirat, Achamyeleh Birhanu Teshale, Getayeneh Antehunegn Tesema
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0248417
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author Zemenu Tadesse Tessema
Koku Sisay Tamirat
Achamyeleh Birhanu Teshale
Getayeneh Antehunegn Tesema
author_facet Zemenu Tadesse Tessema
Koku Sisay Tamirat
Achamyeleh Birhanu Teshale
Getayeneh Antehunegn Tesema
author_sort Zemenu Tadesse Tessema
collection DOAJ
description <h4>Background</h4>Low birth weight (LBW) is one of the major determinants of perinatal survival, infant morbidity, and mortality, as well as the risk of developmental disabilities and illnesses in future lives. Though studies were conducted to assess the magnitude and associated factors of low birth weight, most of the studies were at a single center and little information on the regional level. Hence, this study assessed the prevalence and associated factors of low birth weight in Sub-Saharan countries.<h4>Method</h4>This study was based on secondary data sources from 35 Sub-Saharan countries' Demography and Health Survey (DHS). For this study, we used the Kids Record (KR file) data set. In the KR file, all under-five children who were born in the last five years preceding the survey in the selected enumeration area who had birth weight data were included for the study. To identify determinants of low birth weight multivariable mixed-effect logistic regression model fitted. Adjusted Odds Ratios (AOR) with a 95% Confidence Interval (CI) and p-value ≤0.05 in the multivariable model were used to declare significant factors associated with low birth weight at birth.<h4>Result</h4>The pooled prevalence of newborn babies' low birth weight measured at birth in Sub-Saharan Africa was 9.76% with (95% CI: 9.63% to 9.89%). Female child, women not participated in healthcare decision making, and wider birth intervals, divorced/ separated women, and twin pregnancies associated with increased occurrences of low birth weight, while some level of woman and husband education, antenatal care visits, older maternal age, and multiparity associated with reduced occurrence low birth weight.<h4>Conclusion</h4>This study revealed that the magnitude of low birth weight was high in sub-Saharan Africa countries. Therefore, the finding suggests that more emphasis is important for women with a lack of support, multiples, and healthcare decision-making problems.
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spelling doaj.art-02809a8adc854015936b92e747bc61902022-12-21T19:54:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01163e024841710.1371/journal.pone.0248417Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.Zemenu Tadesse TessemaKoku Sisay TamiratAchamyeleh Birhanu TeshaleGetayeneh Antehunegn Tesema<h4>Background</h4>Low birth weight (LBW) is one of the major determinants of perinatal survival, infant morbidity, and mortality, as well as the risk of developmental disabilities and illnesses in future lives. Though studies were conducted to assess the magnitude and associated factors of low birth weight, most of the studies were at a single center and little information on the regional level. Hence, this study assessed the prevalence and associated factors of low birth weight in Sub-Saharan countries.<h4>Method</h4>This study was based on secondary data sources from 35 Sub-Saharan countries' Demography and Health Survey (DHS). For this study, we used the Kids Record (KR file) data set. In the KR file, all under-five children who were born in the last five years preceding the survey in the selected enumeration area who had birth weight data were included for the study. To identify determinants of low birth weight multivariable mixed-effect logistic regression model fitted. Adjusted Odds Ratios (AOR) with a 95% Confidence Interval (CI) and p-value ≤0.05 in the multivariable model were used to declare significant factors associated with low birth weight at birth.<h4>Result</h4>The pooled prevalence of newborn babies' low birth weight measured at birth in Sub-Saharan Africa was 9.76% with (95% CI: 9.63% to 9.89%). Female child, women not participated in healthcare decision making, and wider birth intervals, divorced/ separated women, and twin pregnancies associated with increased occurrences of low birth weight, while some level of woman and husband education, antenatal care visits, older maternal age, and multiparity associated with reduced occurrence low birth weight.<h4>Conclusion</h4>This study revealed that the magnitude of low birth weight was high in sub-Saharan Africa countries. Therefore, the finding suggests that more emphasis is important for women with a lack of support, multiples, and healthcare decision-making problems.https://doi.org/10.1371/journal.pone.0248417
spellingShingle Zemenu Tadesse Tessema
Koku Sisay Tamirat
Achamyeleh Birhanu Teshale
Getayeneh Antehunegn Tesema
Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.
PLoS ONE
title Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.
title_full Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.
title_fullStr Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.
title_full_unstemmed Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.
title_short Prevalence of low birth weight and its associated factor at birth in Sub-Saharan Africa: A generalized linear mixed model.
title_sort prevalence of low birth weight and its associated factor at birth in sub saharan africa a generalized linear mixed model
url https://doi.org/10.1371/journal.pone.0248417
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