Risk Factors Associated with Under Five Children Mortality in Northeast Nigeria; A Retrospective Analysis of National Demographic and Health Survey Data.

Autor:	Misau YA; College of Medical Sciences, ATBU, Bauchi, Nigeria. Email: amyusuf@atbu.edu.ng., Bashir MF; Department of Pediatrics, College of Medical Sciences, ATBU, Bauchi, Nigeria., Dabo MM; College of Medical Sciences, ATBU, Bauchi, Nigeria. Email: amyusuf@atbu.edu.ng., Adamu AS; Department of Pediatrics, College of Medical Sciences, ATBU, Bauchi, Nigeria., Dattijo LM; Department of Obstetrics and Gynaecology, College of Medical Sciences, ATBU, Bauchi, Nigeria., Musa AZ; Department of Pediatrics, College of Medical Sciences, ATBU, Bauchi, Nigeria., Ahmad SM; Department of Pediatrics, College of Medical Sciences, ATBU, Bauchi, Nigeria., Yaya J; Department of Sociology, Bauchi State University, Bauchi, Nigeria., Meremikwu M; Department of Pediatrics, College of Health Sciences, University of Calabar, Cross Rivers, Nigeria., Usman BM; College of Medical Sciences, ATBU, Bauchi, Nigeria. Email: amyusuf@atbu.edu.ng., Abdulhamid NK; College of Medical Sciences, ATBU, Bauchi, Nigeria. Email: amyusuf@atbu.edu.ng.
Jazyk:	angličtina
Zdroj:	West African journal of medicine [West Afr J Med] 2024 Jun 28; Vol. 41 (6), pp. 651-658.
Abstrakt:	Background: Under-five children mortality rate (U5MR) remains a crucial indicator of a nation's child healthcare and socioeconomic development. This study aims to identify and quantify significant maternal, child, family, and environmental risk factors contributing to under-five mortalities in the Northeast geopolitical zone of Nigeria. Methods: Retrospective analysis of secondary data from the 2018 National Demographic and Health Survey (NDHS) in six northeastern Nigerian states. Maternal factors (age, education, health-seeking behavior), child variables (weight, sex, vaccination status), family factors, and environmental factors (water source, residence, wealth index) were analyzed to determine their association with the under-five mortality rate (U5MR). Logistic regression models and population-attributable risk estimates were used to identify key contributors to U5MR in the region. Results: A total of 26,293 mothers were surveyed, of which the majority (93.6%) were married, employed (70.7%), and had no insurance (99%). Most of the mothers were above 35 years of age, uneducated and with first birth between ages 15-19. Adjusted odds ratios show unmarried mothers 1.67 (P=0.015), small birth size 1.37 (P=0.022), never breastfeeding 1.83 (P=0.000), short birth intervals 1.50 (0.005), higher parity 1.5 (P=0.005), lack of any family planning method 1.43(P=0.040), twin siblings 3.95 (P=0.000) and place of residence 1.21 (P=0.000) were associated with higher U5MR odds ratios. Maternal age 21-25 years showed a protective effect AOR 0.59 (95% CI: 0.36-0.98, P=0.040) and age > 31 years AOR 0.44 (95% CI: 0.24-0.81, P=0.009). Conclusion: This study provides crucial insights into the multifaceted determinants of under-5 mortality in Northeast Nigeria. The findings underscore the importance of tailored interventions addressing maternal, child, and family factors to improve child health outcomes in the region. Competing Interests: The Authors declare that no competing interest exists (Copyright © 2024 by West African Journal of Medicine.)
Databáze:	MEDLINE
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