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 ...

Background: Many underlying factors are assumed to contribute to the disparities in magnitude of childhood malnutrition. Notwithstanding, socioeconomic inequalities remain key measures to determine chronic and hidden hunger among under-five children. This study was undertaken to explore childhood malnutrition problems that are associated to household wealth-related and mother's educational attainment in sub-Saharan Africa (SSA). Methods: Secondary data from birth histories in 35 SSA countries was used. The Demographic and Health Survey (DHS) data of 384,747 births between 2008 and 2017 in 35 countries was analyzed. The outcome variables of interest were mainly indicators of malnutrition: stunting, underweight, wasting, overweight, anemia, and under-five children survival. Household wealth-related and mother's educational level were the measures of socioeconomic status. Concentration index and Lorenz curves were the main tools used to determine inequalities for nutritional outcomes. The statistical significance level was determined at 5%. Results: Based on the results, Burundi (54.6%) and Madagascar (48.4%) accounted for the highest prevalence of stunted children. Underweight children were 32.5% in Chad and 35.5% in Niger. Nigeria (16.6%) and Benin (16.4%) had the highest burdens of wasted children. Overall, overweight and under-five survival were significantly more in the higher household wealth, compared with the lower household wealth (Conc. Index = 0.0060; p < 0.001 and Conc. Index = 0.0041; p = 0.002 respectively). Conversely, stunting (Conc. Index = − 0.1032; p < 0.001), underweight (Conc. Index = − 0.1369; p < 0.001), wasting (Conc. Index = − 0.0711; p < 0.001), and anemia (Conc. Index = − 0.0402; p < 0.001) were significantly lower in the higher household wealth status, compared with the lower household wealth groups. Furthermore, under-five children survival was significantly more from mothers with higher educational attainment, compared with children from mothers with lower educational attainment (Conc. Index = 0.0064; p < 0.001). Conversely, stunting (Conc. Index = − 0.0990; p < 0.001), underweight (Conc. Index = − 0.1855; p < 0.001), wasting (Conc. Index = − 0.1657; p < 0.001), overweight (Conc. Index = − 0.0046; p < 0.001), and anemia (Conc. Index = 0.0560; p < 0.001) were significantly more among children from mothers with lower educational attainment. The test for differences between children from urban vs. rural was significant in stunted, underweight, overweight, and anemia for household wealth status. Also, the difference in prevalence between children from urban vs. rural was significant in stunted, underweight, and wasted for mother's educational attainment.

Background Proper nutrition is crucial for enhancing brain function and improving learning. Over time, large evidence has existed to show that childhood undernutrition, marked by stunting, is connected with age-long reduction in cognitive and academic achievement. It is of interest to achieve healthy growth and optimal cognitive development in early childhood. The objective of this study was to examine stunting considered to adversely influence cognitive development among children and therefore of public health importance. Results About two thirds (64.3%) of under-five children attained optimal cognition. Stunted children had 7% reduction in optimal cognitive development, compared with not stunted children (RR = 0.93; 95%CI 0.83, 0.98). Among the covariates, geographical region was significantly associated with optimal cognitive development. In addition, children of Islamic, traditional/other religion, and no religion had significant reduction in optimal cognitive development, compared with children of Christianity belief. Children from mothers who had secondary and tertiary education, listened to radio, and watched television had an increase in optimal cognitive development, compared with children from uneducated mothers. Furthermore, children from mothers who are employed had an 8% increase in optimal cognitive development (RR = 1.08; 95%CI: 1.02, 1.14). Conclusion Due to the adverse impact of stunting on optimal cognitive development, we suggest that government and stakeholders in child welfare should ensure that development programmes combine health and nutrition services with early learning and rely on families as partners to have children’s cognitive development effectively. Early childhood cognitive development programmes should be implemented through families and caregivers, with special focus on disadvantaged children as a poverty reduction strategy, and ensure that all children are adequately nourished.

Background: Child mortality has become a prominent public health issue in sub-Saharan Africa (SSA). The mortality rates can in part be translated to how communities meet the health needs of children and address key household and environmental risk factors. Though discussions on the trends and magnitude of child mortality continue as to strategize for a lasting solution, large gap exists specifically in family characteristics associated with child death. Moreover, household dynamics of child mortality in SSA is under researched despite the fact that mortality rates remain high. This study aimed to examine the influence of household structure on child mortality in SSA. Methods: Secondary data from birth histories in recent Demographic and Health Survey (DHS) in 35 SSA countries were used in this study. The total sample data of children born in the 5 years prior to the surveys were 384,747 births between 2008 and 2017. Unadjusted and adjusted Cox proportional hazard regression model was fitted to model infant and under-five mortality. The measure of association was hazard ratio (HR) with 95% confidence interval (CI). Statistical test was conducted at p < 0.05 level of significance. Results: Total infant mortality rates were highest in Sierra Leone (92 deaths per 1000 live births), Chad (72 deaths per 1000 live births) and Nigeria (69 deaths per 1000 live births), respectively. Furthermore, total rates of under-five mortality across 35 SSA countries were highest in Cameroon (184 deaths per 1000 live births), Sierra Leone (156 deaths per 1000 live births) and Chad (133 deaths per 1000 live births). The risk of infant mortality was higher in households of polygyny, compared with households of monogyny (HR = 1.23; CI 1.16, 1.29). Households with large number of children (3-5 and ≥ 6) had higher risk of infant mortality, compared with those with 1-2 number of children. Infants from mothers with history of multiple union had 16% increase in the risk of infant mortality, compared with those from mothers from only one union (HR = 1.16; CI 1.09, 1.24). Furthermore, under-five from female household headship had 10% significant reduction in the risk of mortality, compared with those from male household headship (HR = 0.90; CI 0.84, 0.96). The risk of under-five mortality was higher in households of polygyny, compared with monogyny (HR = 1.33; CI 1.28, 1.38). Households with large number of children (3-5 and ≥ 6) had higher risk of under-five mortality, compared with those with 1-2 number of children ever born. Under-five

Background: Contraceptive use initiation and continuation is one of the major interventions for reducing maternal deaths worldwide. Nigeria aimed to achieve a 27% prevalence rate of modern contraceptive uptake by 2020, however, this seems to have remained unachieved. The objective of this study was to investigate when Nigerian women initiate contraceptive use and its associated factors, using nationally representative data. Methods: Data on 11,382 Nigerian women (aged 15-49 years) from the 2017 Performance Monitoring and Accountability 2020 (PMA2020) survey were used to determine the prevalence of lifetime contraceptive use. The Kaplan-Meier test was used to determine median time (years) to contraceptive uptake. In addition, the factors associated with contraceptive use were determined using multivariable logistic regression model. Statistical significance was determined at 5%. Results: The prevalence of modern contraceptive use was 14.2%. There were disparities in the timing (years) of contraceptive use initiation across several women's characteristics. Women from urban residence, highest household wealth index, nulliparous, unmarried, and highly educated women had the minimum median time (years) to contraceptive use initiation. The multivariable logistic model showed that rural women were 26% less likely to initiate contraceptive use, when compared with the urban dwellers (OR= 0.74; 95% CI: 0.65, 0.84). Furthermore, married women were 24% less likely to initiate contraceptive use, when compared with the unmarried (OR= 0.76; 95% CI: 0.63, 0.93). In addition, geographical region, wealth, television source, ever given birth, education, age, and religion were significantly associated with contraceptive use. Conclusion:The prevalence of contraceptive use is low in Nigeria. There were differences in contraceptive use initiation among women of reproductive age in Nigeria. There is a need to adopt sustainable strategies to improve contraceptive uptake and to re-iterate the benefits of contraception, including providing enlightenment programs among key populations such as the rural dwellers and low income earners.

High body mass index has been reported to have several health conditions on indivuals and lowers self-esteem as well as has negative consequences on the cognitive and social development of a person. On a broad view, obesity is a prominent yet preventable cause of death and its prevalence both in children and adults is on the increase. In relation to men, women have a relatively higher burden of disease attributable to overweight and obesity. This study examined the inter-relationship between the socio-economic status and body mass index among women of reproductive age in Nigeria. The study was a cross-sectional design and utilized 2013 Nigeria Demographic Health and Survey dataset. The Nationally representative sample of 38,948 women in all selected households represented a response rate of 98% of women. The sample design for the 2013 NDHS provides estimates at the national level, urban-rural areas, for each of the six zones, for each of the 36 states, and the Federal Capital Territory (FCT). Data were analyzed using STATA Software version 12.0. Summary statistics, analysis of variance and analysis of covariance were conducted. p-value of <0.05 was considered statistically significant. This study clearly revealed that wealth is directly proportional to the BMI of the women of reproductive age in Nigeria. Richest women of reproductive age in Nigeria had highest BMI and vis-à-vis the poorest women. Age was found to be a significant confounder. This study also interestingly revealed that the women living in the southern regions of Nigeria have significantly higher body mass index values than those living in the Northern part of the country. Although, at the 90 th quintile, the south-west was found to have the highest BMI value, the south-south has the highest BMI value on the average with the north-east having the lowest BMI value. There is need to enlighten women of reproductive age specifically of high socio-economic status on the implication of high body mass index and how it relates to health and disease occurrence.