Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18

Abstract Background Child mortality remains remarkably high in many low- and middle-income countries (LMICs), including Bangladesh. This study aimed to identify the sociodemographic and maternal health-related factors associated with under three (U3) child mortality in Bangladesh. Methods We extract...

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Main Authors: Md. Fakhar Uddin, Shanta Akter Mim, Md. Ahshanul Haque, Md. Tariquajjaman, Ishrat Jabeen, Mubassira Binte Latif, Asma-Ul-Husna Sumi, Fatema Aarshe, Md. Hasibul Hossain, Sumaiya Nabi, Md. Alamgir Hossain, Mohammad Niaz Morshed Khan, Akash Saha, Tahmeed Ahmed, Nur Haque Alam, Mohammod Jobayer Chisti
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Public Health
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Online Access:https://doi.org/10.1186/s12889-024-20426-8
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author Md. Fakhar Uddin
Shanta Akter Mim
Md. Ahshanul Haque
Md. Tariquajjaman
Ishrat Jabeen
Mubassira Binte Latif
Asma-Ul-Husna Sumi
Fatema Aarshe
Md. Hasibul Hossain
Sumaiya Nabi
Md. Alamgir Hossain
Mohammad Niaz Morshed Khan
Akash Saha
Tahmeed Ahmed
Nur Haque Alam
Mohammod Jobayer Chisti
author_facet Md. Fakhar Uddin
Shanta Akter Mim
Md. Ahshanul Haque
Md. Tariquajjaman
Ishrat Jabeen
Mubassira Binte Latif
Asma-Ul-Husna Sumi
Fatema Aarshe
Md. Hasibul Hossain
Sumaiya Nabi
Md. Alamgir Hossain
Mohammad Niaz Morshed Khan
Akash Saha
Tahmeed Ahmed
Nur Haque Alam
Mohammod Jobayer Chisti
author_sort Md. Fakhar Uddin
collection DOAJ
description Abstract Background Child mortality remains remarkably high in many low- and middle-income countries (LMICs), including Bangladesh. This study aimed to identify the sociodemographic and maternal health-related factors associated with under three (U3) child mortality in Bangladesh. Methods We extracted data of 5299 U3 children from Bangladesh Demographic and Health Survey (BDHS) 2017-18. We used descriptive statistics to summarize the data. The chi-square (χ2) test, simple and multiple Firth logistic regression were performed to test the associations between priori-defined factors and U3 mortality. Results In Bangladesh, the U3 child mortality rate was 35 deaths per 1,000 live births, with a median age at death of less than one month. The adjusted model revealed that the odds of U3 child mortality were higher among children born to mothers aged between 30 and 39 years [adjusted odds ratio (AOR) = 2.01, 95% confidence interval (CI): 1.30–3.11; p-value (p) = 0.002], those who did not use any contraceptive [AOR = 2.57, 95% CI: 1.90–3.47; p < 0.001], with first pregnancy [AOR = 14.91, CI: 4.60–48.30; p < 0.001], had birth interval less than 24 months [AOR = 2.10, CI: 1.23–3.60; p = 0.007], children born to mothers who delivered vaginally [AOR = 3.18, 95% CI: 2.07–4.87; p < 0.001]. However, lower odds of mortality were observed among children of mothers with higher education levels [AOR = 0.50, 95% CI: 0.28–0.90; p = 0.021] and families with more than five members [AOR = 0.61, 95% CI: 0.45–0.83; p < 0.01]. In addition, religion, birth attendant during delivery, and the child’s birth order were significantly associated with U3 child mortality, whereas mortality did not vary significantly across the divisions. Conclusions Higher odds of U3 child mortality were associated with mothers who did not use contraceptives, delivered vaginally, and were aged 30–39 years in Bangladesh. Conversely, higher maternal education and larger family size were associated with lower odds of U3 child mortality. The findings suggest that community-based family planning awareness programs focused on contraceptive use, as it prevents childbirth and is also a marker of health service usage.
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spelling doaj-art-f04d970a4ff84371bf86d9c7dbb3921c2025-08-20T02:38:35ZengBMCBMC Public Health1471-24582024-11-0124111410.1186/s12889-024-20426-8Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18Md. Fakhar Uddin0Shanta Akter Mim1Md. Ahshanul Haque2Md. Tariquajjaman3Ishrat Jabeen4Mubassira Binte Latif5Asma-Ul-Husna Sumi6Fatema Aarshe7Md. Hasibul Hossain8Sumaiya Nabi9Md. Alamgir Hossain10Mohammad Niaz Morshed Khan11Akash Saha12Tahmeed Ahmed13Nur Haque Alam14Mohammod Jobayer Chisti15Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Daffodil International UniversityNutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Health System and Population Studies Division (HSPSD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)Abstract Background Child mortality remains remarkably high in many low- and middle-income countries (LMICs), including Bangladesh. This study aimed to identify the sociodemographic and maternal health-related factors associated with under three (U3) child mortality in Bangladesh. Methods We extracted data of 5299 U3 children from Bangladesh Demographic and Health Survey (BDHS) 2017-18. We used descriptive statistics to summarize the data. The chi-square (χ2) test, simple and multiple Firth logistic regression were performed to test the associations between priori-defined factors and U3 mortality. Results In Bangladesh, the U3 child mortality rate was 35 deaths per 1,000 live births, with a median age at death of less than one month. The adjusted model revealed that the odds of U3 child mortality were higher among children born to mothers aged between 30 and 39 years [adjusted odds ratio (AOR) = 2.01, 95% confidence interval (CI): 1.30–3.11; p-value (p) = 0.002], those who did not use any contraceptive [AOR = 2.57, 95% CI: 1.90–3.47; p < 0.001], with first pregnancy [AOR = 14.91, CI: 4.60–48.30; p < 0.001], had birth interval less than 24 months [AOR = 2.10, CI: 1.23–3.60; p = 0.007], children born to mothers who delivered vaginally [AOR = 3.18, 95% CI: 2.07–4.87; p < 0.001]. However, lower odds of mortality were observed among children of mothers with higher education levels [AOR = 0.50, 95% CI: 0.28–0.90; p = 0.021] and families with more than five members [AOR = 0.61, 95% CI: 0.45–0.83; p < 0.01]. In addition, religion, birth attendant during delivery, and the child’s birth order were significantly associated with U3 child mortality, whereas mortality did not vary significantly across the divisions. Conclusions Higher odds of U3 child mortality were associated with mothers who did not use contraceptives, delivered vaginally, and were aged 30–39 years in Bangladesh. Conversely, higher maternal education and larger family size were associated with lower odds of U3 child mortality. The findings suggest that community-based family planning awareness programs focused on contraceptive use, as it prevents childbirth and is also a marker of health service usage.https://doi.org/10.1186/s12889-024-20426-8FactorsChild mortalityFirth logistic regressionBangladesh
spellingShingle Md. Fakhar Uddin
Shanta Akter Mim
Md. Ahshanul Haque
Md. Tariquajjaman
Ishrat Jabeen
Mubassira Binte Latif
Asma-Ul-Husna Sumi
Fatema Aarshe
Md. Hasibul Hossain
Sumaiya Nabi
Md. Alamgir Hossain
Mohammad Niaz Morshed Khan
Akash Saha
Tahmeed Ahmed
Nur Haque Alam
Mohammod Jobayer Chisti
Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18
BMC Public Health
Factors
Child mortality
Firth logistic regression
Bangladesh
title Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18
title_full Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18
title_fullStr Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18
title_full_unstemmed Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18
title_short Sociodemographic and maternal health-related factors associated with mortality among children under three in Bangladesh: an analysis of data from Bangladesh Demographic and Health Survey 2017-18
title_sort sociodemographic and maternal health related factors associated with mortality among children under three in bangladesh an analysis of data from bangladesh demographic and health survey 2017 18
topic Factors
Child mortality
Firth logistic regression
Bangladesh
url https://doi.org/10.1186/s12889-024-20426-8
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