High-risk fertility behaviours among women of reproductive ages in the Democratic Republic of the Congo: Prevalence, correlates, and spatial distribution.

BACKGROUND: High-risk fertility behaviour remains a major public health in the Democratic Republic of the Congo, like other sub-Saharan Africa countries, especially because Total Fertility Rate (TFR) is very high in the country, estimated at 6.6 children. Despite the commendable progress in reducing maternal deaths in the region, sub-Saharan Africa is still lagging very behind compared with other regions. Yet, high-risk fertility behaviours are pivotal to improve maternal and child health. This study aims to assess geographical variations of, and to identify risk factors associated with high-risk fertility behaviours among married women in the Democratic Republic of the Congo using the 2013-14 Demographic and Health Survey. METHODS: Overall, 11,497 married women were selected from a nationally representative using a two-stage sampling design. Standard logistic regressions were performed to identify individual- and household/community-level factors associated with high-risk fertility behaviours. Additionally, interactions between women's age and education, and urban residence were tested. Bernoulli based spatial scan statistics were used to identify the presence of high-risk fertility behaviours spatial clusters using Kulldorff's SaTScan version 9.6 software. ArcGIS 10.7 was used to visualize the spatial variations of high-risk fertility behaviours. Geographically weighted regression (GWR) analysis was employed using Multiscale GWR version 2.0 software. RESULTS: Findings indicated that more than two-third of married women exhibited high-risk fertility behaviours in the Democratic Republic of the Congo. Multivariate logistic regression showed that education was negatively and significantly associated with the odds of high-risk fertility behaviours. In contrast, women's age significantly increased the odds of high-risk fertility behaviours. Interactions between urban residence and women's education and age confirmed the urban advantage identified from previous studies. Finally, high-risk fertility behaviours were highly clustered in the Northeastern provinces of the country. CONCLUSION: The study showed that there were significant geographical variations of high-risk fertility behaviours across provinces in the Democratic Republic of the Congo. The paper also identified significant-high hot spots of high-risk fertility behaviours in the Northeastern provinces of the country. To reduce high-risk fertility behaviours, and ultimately improve maternal and child outcomes in the country, policymakers and health planners need to strategically address these inequalities. Finally, this paper highlighted the persistent needs of country-specific studies due to differences across sub-Saharan African countries in terms of social development and cultures.

Multi-Level Analysis and Spatial Interpolation of Distributions and Predictors of Childhood Diarrhea in Nigeria.

BACKGROUND: Diarrhea is one of the health problems contributing to Nigeria's under-5 mortality rate, ranked as the eighth highest globally. As our search is concerned, there is limited evidence on the spatial distribution of childhood diarrhea in Nigeria. Therefore, this study aimed to examine the spatial distribution and predictors of diarrhea among under-5 children in Nigeria. MATERIALS AND METHODS: Using data from the child's recode file of the 2018 Nigeria Demographic and Health Survey, a sample of 28 583 children of women of reproductive age was considered as the sample size for this study. The outcome variable used in this study was childhood diarrhea. We employed both multilevel and spatial analyses to ascertain the factors associated with childhood diarrhea as well as its spatial clustering. RESULTS: The regional distribution of the prevalence of diarrhea among children in Nigeria ranged from 0% to 62%. The hotspots for childhood diarrhea were in Yobe, Bauchi, Gombe, Kano, Sokoto, Imo, and Taraba. The likelihood of a child having diarrhea in Nigeria was higher among women whose partners have secondary education and above [aOR = 1.18; 95%CI = 1.05-1.33], women currently working [aOR = 1.24; 95%CI = 1.13-1.35], women practicing Islam [aOR = 1.24; 95%CI = 1.04-1.46], and women who were exposed to mass media [aOR = 1.29; 95%CI = 1.18-1.42], compared to women whose partners had no formal education, women not currently working, women practicing Christianity, and those who were not exposed to mass media. Children born to mothers who reside in North East [aOR = 2.55; 95%CI = 2.10-3.10], and communities with medium socioeconomic status [aOR = 1.44; 95%CI = 1.09-1.91] were more likely to experience diarrhea compared to those born to mothers residing in the North Central and in communities with low socioeconomic status. CONCLUSION: High proportions of childhood diarrhea among under-5 children in Nigeria were located in Yobe, Bauchi, Gombe, Kano, Sokoto, Imo, and Taraba. Policies and interventions that seek to reduce or eliminate diarrhea diseases among under-5 children in Nigeria should take a keen interest in the factors identified as predictors of childhood diarrhea in this study as this will help in achieving the aims of WASH, ORT corners, and SDG 3 by the year 2030.

Prevalence and associated factors of post-partum depression in Ethiopia. A systematic review and meta-analysis.

BACKGROUND: Globally, post-partum depression is a major public health problem and is associated with a harmful effect on the infant, child, and mothers' mental, physical, and social health. Although a few post-partum depression studies have been published, we still lack an accurate estimated pooled prevalence of national PPD and associated factors. OBJECTIVES: This study aims to show the estimated pooled prevalence of PPD and associated factors in Ethiopia. METHODS: We conduct the extensive search of articles as indicated in the guideline (PRISMA), reporting systematic review and meta-analysis. Databases like MEDLINE, PubMed, psych INFO, Web of Science, EMBASE, CINAHL, Scopus, and The Cochrane Library. All publications and grey literature were addressed by using MeSH terms and keywords. The pooled estimated effect of post-partum depression and associated factors was analyzed using the random effect model meta-analysis, and 95% CI was also considered. PROTOCOL AND REGISTRATION: PROSPERO 2020 CRD42020176769 Available from https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020176769. RESULT: A total of 11 studies with 7,582 participants were included in this meta-analysis. The estimated pooled prevalence of post-partum depression (PPD) was 22.08%, with a 95% CI (17.66%, 26.49). For factors associated with post-partum depression, a random effect size model was used during meta-analysis; unplanned pregnancy [(OR = 2.84; 95% CI (2.04, 3.97)], domestic violence [OR = 3.14; 95% CI (2.59, 3.80)], and poor social support [OR = 3.57;95% CI (2.29,5.54) were positively associated factors with post-partum depression. CONCLUSION AND RECOMMENDATION: The estimated pooled prevalence of post-partum depression was high in Ethiopia. Unplanned pregnancy, poor social support, and domestic violence were factors affecting PPD. Therefore, the Ethiopian policymakers and health personnel better give more emphasis to mothers who had a history of unplanned pregnancy, domestic violence, and poor social support.