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Background: As a global public health problem, anemia affects more than 400 million women of reproductive age worldwide, mostly in Africa and India. In the DRC, the prevalence of anemia has decreased slightly from 52.9% in 2007, to 46.4% in 2012 and 42.4% in 2019. However, there is considerable regional variation in its distribution. The aim of this study is to determine the factors contributing to anemia in women of reproductive age and to explore its spatial distribution in the DRC. Methods: Based on the Bayesian Multilevel Spatial Ordinal Logistic Regression Model, we used the 2013 Democratic Republic of Congo Demographic and Health Survey (DHS-DRC II) data to investigate individual and environmental characteristics contributing to the development of anemia in women of reproductive age and the mapping of anemia in terms of residual spatial effects. Results: Age, pregnancy status, body mass index, education level, current breastfeeding, current marital status, contraceptive and insecticide-treated net use, source of drinking water supply and toilet/latrine use including the province of residence were the factors contributing to anemia in women of reproductive age in DRC. With Global Moran's I = -0.00279, p-value ≥ 0.05, the spatial distribution of anemia in women of reproductive age in DRC results from random spatial processes. Thus, the observed spatial pattern is completely random. Conclusion: The Bayesian Multilevel Spatial Ordinal Logistic Regression statistical model is able to adjust for risk and spatial factors of anemia in women of reproductive age in DRC highlighting the combined role of individual and environmental factors in the development of anemia in DRC. [ABSTRACT FROM AUTHOR]

Background: The proportion of women with family planning needs increased from 74 to 76% between 2000 and 2019, and this improvement has not transcended to a fertility rate stall or decrease in sub-Saharan Africa (SSA). In the face of a continuous increase in the fertility rate in SSA, population experts agreed that the efficient use of reliable family planning methods such as long-acting reversible and permanent contraceptive methods (LARC/PMs) could help reduce the high fertility rate and associated adverse reproductive health outcomes in the region. However, despite the effectiveness of LARC/PMs, its use remains elusive in SSA. Thus, this study examines the prevalence and factors associated with the use of LARC/PMs among women who desire no more children in high-fertility countries in SSA.Methods: Secondary datasets from the demographic health surveys conducted in 20 countries in SSA between 2010 and 2019 were included in the study. A total sample size of 46,290 sexually active women of reproductive age who desire no more children and who met the study inclusion criteria was pooled and analysed. Prevalence of LARC/PMs use was displayed using a graph whilst binary logistic regression was used to determine the associated factors, and results were presented as unadjusted odds ratio and adjusted odds ratio with a statistical significance of p < 0.05.Results: The prevalence of LARC/PMs use among women who desire no more children was 7.5%. Ranging from 20.9% in Senegal and as low as 0.4% in Congo. Women within the richest wealth index [aOR = 1.18, 95% CI = 1.03-1.36] and those exposed to mass media [aOR = 1.54, 95% CI = 1.41-1.68] had higher odds of LARC/PMs use among sexually active women of reproductive age who desire no more children compared to those within poorest wealth index and women with no mass media exposure.Conclusion: The study concluded that LARC/PMs use among sexually active women who desire no more children was very low, and women within the richest wealth index and those with mass media exposure were likely to use LARC/PMs. Interventions that will encourage using LARC/PMs should be prioritised to reduce fertility rates in SSA. [ABSTRACT FROM AUTHOR]

Background: Maternal stature and body mass indices (BMI) of non-pregnant women (NPW) of child bearing age are relevant to maternal and offspring health. The objective was to compare anthropometric indices of NPW in four rural communities in low- to low-middle income countries (LMIC).Methods: Anthropometry and maternal characteristics/household wealth questionnaires were obtained for NPW enrolled in the Women First Preconception Maternal Nutrition Trial. Body mass index (BMI, kg/m2) was calculated. Z-scores were determined using WHO reference data.Results: A total of 7268 NPW participated in Equateur, DRC (n = 1741); Chimaltenango, Guatemala (n = 1695); North Karnataka, India (n = 1823); and Thatta, Sindh, Pakistan (n = 2009). Mean age was 23 y and mean parity 1.5. Median (P25-P75) height (cm) ranged from 145.5 (142.2-148.9) in Guatemala to 156.0 (152.0-160.0) in DRC. Median weight (kg) ranged from 44.7 (39.9-50.3) in India to 52.7 (46.9-59.8) in Guatemala. Median BMI ranged from 19.4 (17.6-21.9) in India to 24.9 (22.3-28.0) in Guatemala. Percent stunted (<-2SD height for age z-score) ranged from 13.9% in DRC to 80.5% in Guatemala; % underweight (BMI <18.5) ranged from 1.2% in Guatemala to 37.1% in India; % overweight/obese (OW, BMI ≥25.0) ranged from 5.7% in DRC to 49.3% in Guatemala. For all sites, indicators for higher SES and higher age were associated with BMI. Lower SES women were underweight more frequently and higher SES women were OW more frequently at all sites. Younger women tended to be underweight, while older women tended to be OW.Conclusions: Anthropometric data for NPW varied widely among low-income rural populations in four countries located on three different continents. Global comparisons of anthropometric measurements across sites using standard reference data serve to highlight major differences among populations of low-income rural NPW and assist in evaluating the rationale for and the design of optimal intervention trials.Trial Registration: ClinicalTrials.gov # NCT01883193 (18 June 2013, retrospectively registered). [ABSTRACT FROM AUTHOR]