ArticleBMC public health2017
Prevalence and determinants of childhood mortality in Nigeria.
Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Approximation of the Cox survival regression model by MCMC Bayesian Hierarchical Poisson modelling of factors associated with childhood mortality in Nigeria.Scientific reports · 2021Trial
- Targeted gender equality approach to improving childhood nutritional status in Cross River State, Nigeria: a community-based quasi-experimental study.Frontiers in nutrition · 2026Article
- Survival Machine-Learning Approach for Predicting Under-Five Mortality in Low Sociodemographic Index States of India.Journal of research in health sciences · 2025Article
- Influence of demographic, socioeconomic and geographical variability on children under-five mortality in The Gambia: an application of survival analysis.BMJ public health · 2024Article
- Determinants of under-five mortality in informal settlements in Nairobi, Kenya from 2002 to 2018.BMC public health · 2024Article
- Predictors of time to death among under-five children in pastoral regions of Ethiopia: A retrospective follow-up study.PloS one · 2024Article
- Navigating Nigeria's Health Landscape: Population Growth and Its Health Implications.Environmental health insights · 2024Review
- Article
- Breastfeeding and female labor force participation: the probability of survival of children in Nepal under 3 years old.International breastfeeding journal · 2023Article
- Community and individual level determinants of infant mortality in rural Ethiopia using data from 2016 Ethiopian demographic and health survey.Scientific reports · 2022Article
- The impact of maternal health insurance coverage and adequate healthcare services utilisation on the risk of under-five mortality in Nigeria: a cross-sectional study.Archives of public health = Archives belges de sante publique · 2022Article
- Is there any association between undesired children and health status of under-five children? Analysis of a nationally representative sample from Bangladesh.BMC pediatrics · 2022Article
- Assessing Individual- and Community-Level Variability in Predictors of Neonatal, Infant, and Under-Five Child Mortality in Ethiopia Using a Multilevel Modeling Approach.Children (Basel, Switzerland) · 2022Article
- Socio-economic factors affecting high infant and child mortality rates in selected African countries: does globalisation play any role?Globalization and health · 2022Article
- Factors associated with post-neonatal mortality in Ethiopia: Using the 2019 Ethiopia mini demographic and health survey.PloS one · 2022Article
- Association of maternal high-risk fertility behavior and under-five mortality in Ethiopia: Community-based survey.PloS one · 2022Article
- Trends and Factors Associated with Under-5 Mortality in Northwest Nigeria (2008-2018).Annals of global health · 2022Article
- Assessing the usefulness of policy brief and policy dialogue as knowledge translation tools towards contextualizing the accountability framework for routine immunization at a subnational level in Nigeria.Health research policy and systems · 2021Article
- Socio-demographic and environmental risk factors associated with multiple under-five child loss among mothers in Bangladesh.BMC pediatrics · 2021Article
- What does early initiation and duration of breastfeeding have to do with childhood mortality? Analysis of pooled population-based data in 35 sub-Saharan African countries.International breastfeeding journal · 2021Article
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6 authors.
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Abstract
backgroundChildhood mortality has remained a major challenge to public health amongst families in Nigeria and other developing countries. The menace of incessant childhood mortality has been a major concern and this calls for studies to generate new scientific evidence to determine its prevalence and explore predisposing factors associated with it in Nigeria.
methodData was obtained from Nigeria DHS, 2013. The study outcome variable was the total number of children lost by male partners and female partners respectively who were married. The difference between the numbers of child births and the number of living children was used to determine the number of children lost. Study variables were obtained for 8658 couples captured in the data set. Descriptive statistics were computed to examine the presence of over-dispersion and zero occurrences. Data were analysed using STATA Software version 12.0. Zero-inflated negative binomial (ZINB) regression analysis was carried out to determine the factors associated with childhood mortality. Results of ZINB were reported in terms of IRR and 95% confidence interval (CI).
resultsThe age (mean ± std.) of male and female participants were 36.88 ± 7.37 and 28.59 ± 7.30 respectively. The data showed that 30.8% women reported loss of children and 37.3% men reported the same problem. The study revealed age (years), region, residence, education, wealth index, age at first birth and religion of father and mother as factors associated with childhood mortality. In terms of education, secondary and tertiary educated fathers exhibited 3.8% and 12.1% lower risk of childhood mortality respectively than non-educated fathers. The results showed that the risk of childhood mortality are 26.7%, 39.7 and 45.9% lower among the mothers having primary, secondary and tertiary education respectively than those with no formal education. The mothers living in rural areas experienced 28.3% increase in childhood mortality than those in urban areas, while the fathers in rural areas experienced 33.5% increase in childhood mortality than the urban areas. The risk of childhood mortality was significantly lower in middle, richer and richest (11.1%, 37.5 and 49%) economic quintiles respectively when compared to the risk of childhood mortality with female spouse who are poorest. Similar results were obtained for the fathers, with reduction in the incidence-rate ratio of 3.3%, 20.2 and 28.7% for middle, richer and richest economic quintiles respectively, compared to the poorest status. Furthermore, region and religion were found to be significant factors associated with childhood mortality in Nigeria.
conclusionThe findings suggested that age, region, residence, education, wealth index, age at first birth and religion of fathers and mothers are key determinants associated with childhood mortality. The correlation between childhood mortality and fathers' and mothers' ages were found to increase the incidence of the outcome for every unit increase in age. The converse was however, true for age at first birth which was also statistically significant. The implication of this study is that policy makers and stakeholders in health care should provide for improved living standards to achieve good life expectancy meeting SDG3.
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