Demographic and public health studies have indicated urban-rural differences in the utilization Résumé Études démographiques et sanitaires et publiques ont montré des différences urbain-rural dans l'utilisation des services de soins prénatals . Cependant , facteurs qui expliquent les différences urbain-rural dans l'utilisation soins prénatals sont inconnus. L'étude a utilisé l'Enquête Démographique et de Santé du Nigeria 2008 ( enquête démographique et sanitaire ) d'examiner les facteurs associés aux différences urbain-rural dans l'utilisation des soins prénatals au Nigeria . L'analyse de régression logistique a révélé un écart urbain-rural dans l'utilisation des soins prénatals au Nigeria . Il a été révélé que les femmes rurales étaient moins susceptibles de recevoir des soins prénatals que les femmes urbaines (OR = 0,53 , IC = 0,48 à 0,59

Demographic and public health studies have indicated urban-rural differences in the utilization Résumé Études démographiques et sanitaires et publiques ont montré des différences urbain-rural dans l'utilisation des services de soins prénatals . Cependant , facteurs qui expliquent les différences urbain-rural dans l'utilisation soins prénatals sont inconnus. L'étude a utilisé l'Enquête Démographique et de Santé du Nigeria 2008 ( enquête démographique et sanitaire ) d'examiner les facteurs associés aux différences urbain-rural dans l'utilisation des soins prénatals au Nigeria . L'analyse de régression logistique a révélé un écart urbain-rural dans l'utilisation des soins prénatals au Nigeria . Il a été révélé que les femmes rurales étaient moins susceptibles de recevoir des soins prénatals que les femmes urbaines (OR = 0,53 , IC = 0,48 à 0,59

Context Considering the persistent poor maternal and child health outcomes in sub-Saharan Africa (SSA), this study undertook a comparative analysis of the timing and adequacy of antenatal care uptake between women (aged 20–24 years) who married before age 18 and those who married at age 18 or above. Method Data came from Demographic and Health Surveys of 20 SSA countries. We performed binary logistic regression analysis on pooled data of women aged 20–24 (n = 33,630). Results Overall, the percentage of child brides in selected countries was 57.1%, with the lowest prevalence found in Rwanda (19.1%) and the highest rate in Chad (80.9%). Central and West African countries had the highest prevalence of child marriage compared to other sub-regions. Bivariate results indicate that a lower proportion of child brides (50.0%) had 4+ ANC visits compared to the adult brides (60.9%) and a lower percentage of them (34.0%) initiated ANC visits early compared to the adult brides (37.5%). After controlling for country of residence and selected socio-economic and demographic characteristics, multivariable results established significantly lower odds of having an adequate/prescribed number of ANC visits among women who married before age 15 (OR: 0.63, CI: 0.57–0.67, p<0.001), and women who married at ages 15–17 (OR: 0.81, CI: 0.75–0.84, p<0.001) compared to those who married at age 18+. Similar results were established between age at first marriage and timing of first ANC visit. Other interesting results emerged that young women who married earlier than age 18 and those who married at age 18+ differ significantly by several socio-economic and demographic characteristics. Conclusion Efforts to improve maternal and child health outcomes in SSA must give attention to address the underutilization and late start of antenatal care uptake among child brides.

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Most African societies practice a patriarchal family system that endows a man with authority and dominance in the family and society with a defined role of being the breadwinner of the home. A man is expected to have a great influence in determining the ideal number of children in the family and take a domineering role in decision-making, especially those related to household resource allocation. Therefore, this study examines the relationship between men’s wealth status and an ideal number of children. The study used secondary data from the National Demographic Health Survey (NDHS) from 2003 to 2018. The objectives were achieved using descriptive and inferential statistics, including frequency, mean, ANOVA, and multilevel analysis techniques. Wealth status significantly influenced the ideal number of children considering the crude and adjusted regression analysis. After adjusting for individual-level and contextual factors, the odd ratio of ideal number of children was significantly lower among men in the richest categories of the wealth index. Moreover, men with two wives and above, uneducated men, Northern residents, men living in high community family norms, low community family planning, high community poverty, and low community level of education desired a high number of children. The analyses suggest the need for a consideration of community structures to provide lucrative employment for men and would experience an appreciable fertility decline in line with the objectives and targets stated in Nigeria’s population policies and programmes.