Stunting and severe stunting among children under-5 years in Nigeria: A multilevel analysis.

BACKGROUND: Stunting has been identified as one of the major proximal risk factors for poor physical and mental development of children under-5 years. Stunting predominantly occurs in the first 1000 days of life (0-23 months) and continues to the age of five. This study examines factors associated with stunting and severe stunting among children under-5 years in Nigeria. METHODS: The sample included 24,529 children aged 0-59 months from the 2013 Nigeria Demographic and Health Survey (NDHS). Height-for-age z-scores (HFAz), generated using the 2006 World Health Organisation (WHO) growth reference, were used to define stunting (HFAz < -2SD) and severe stunting (HFAz < -3SD). Multilevel logistic regression analyses that adjusted for cluster and survey weights were used to determine potential risk factors associated with stunting and severe stunting among children under-5 years in Nigeria. RESULTS: The prevalence of stunting and severe stunting were 29% [95% Confidence interval (Cl): 27.4, 30.8] and 16.4% [95%Cl: 15.1, 17.8], respectively for children aged 0-23 months, and 36.7% [95%Cl: 35.1, 38.3] and 21% [95%Cl: 19.7, 22.4], respectively for children aged 0-59 months. Multivariate analysis revealed that the most consistent significant risk factors for stunting and severe stunting among children aged 0-23 months and 0-59 months are: sex of child (male), mother's perceived birth size (small and average), household wealth index (poor and poorest households), duration of breastfeeding (more than 12 months), geopolitical zone (North East, North West, North Central) and children who were reported to having had diarrhoea in the 2 weeks prior to the survey [Adjusted odds ratio (AOR) for stunted children 0-23 months = 1.22 (95%Cl: 0.99, 1.49)];[AOR for stunted children 0-59 months = 1.31 (95%Cl: 1.16, 1.49)], [AOR for severely stunted children 0-23 months = 1.31 (95%Cl: 1.03, 1.67)]; [AOR for severely stunted children 0-59 months = 1.58 (95%Cl: 1.38, 1.82)]. CONCLUSIONS: In order to meet the post-2015 sustainable development goals, policy interventions to reduce stunting in Nigeria should focus on poverty alleviation as well as improving women's nutrition, child feeding practices and household sanitation.

Perinatal Mortality in Sub-Saharan Africa: A Meta-Analysis of Demographic and Health Surveys.

BACKGROUND: Sub-Saharan Africa (SSA) has one of the highest levels of perinatal mortality globally. However, there are sub-regional and country-specific disparities in its distribution. OBJECTIVE: The aim of this study was to undertake a meta-analysis of demographic and health surveys to quantify perinatal mortality rate within sub-Saharan Africa and to depict sub-regional and country-specific differences. METHODS: This study used cross-sectional data from the most recent demographic and health surveys (2010-2016) conducted in 21 sub-Saharan African countries. The countries were grouped into four sub-regions (Eastern Africa, Western Africa, Southern Africa and Central Africa), and a meta-analysis was conducted to estimate perinatal mortality rate within each of the sub-regions. Significant heterogeneity was detected among the various surveys (I2 > 50%), hence a random effect model was used. Sensitivity analysis was also performed to examine the effects of outliers. Perinatal mortality was defined as pregnancy losses occurring after seven completed months of gestation (stillbirths) and deaths to live births within the first seven days of life (early neonatal deaths). FINDINGS: The pooled estimate for perinatal mortality rate per 1000 births across 21 countries in the four sub-regions of SSA was 34.7 (95% CI: 32.6, 36.8). Eastern Africa reported 34.5 (95% CI: 32.2, 36.8), with the highest rate observed in Tanzania [39.5 (95% CI: 35.8, 43.4)]. Western Africa reported 35.7 (95% CI: 32.2, 39.3), with the highest rate observed in Nigeria [40.9 (95% CI: 38.3, 43.2)]. Southern Africa reported 30.3 (95% CI: 26.5, 34.0), with the highest rate observed in Lesotho [49.6 (95% CI: 42.3, 57.8)]. Central Africa reported 30.7 (95% CI: 28.0, 33.3), with the highest rate observed in Equatorial Guinea [37.3 (95% CI: 30.5, 45.1)]. CONCLUSIONS: To reduce mortality in the perinatal period, interventions should focus on improving access to high quality antenatal and postnatal care, as well as strengthening health care systems within countries in sub-Saharan Africa.

Enablers and Barriers to the Utilization of Antenatal Care Services in India.

Antenatal care (ANC) reduces adverse health outcomes for both mother and baby during pregnancy and childbirth. The present study investigated the enablers and barriers to ANC service use among Indian women. The study used data on 183,091 women from the 2015-2016 India Demographic and Health Survey. Multivariate multinomial logistic regression models (using generalised linear latent and mixed models (GLLAMM) with the mlogit link and binomial family) that adjusted for clustering and sampling weights were used to investigate the association between the study factors and frequency of ANC service use. More than half (51.7%, 95% confidence interval (95% CI): 51.1-52.2%) of Indian women had four or more ANC visits, 31.7% (95% CI: 31.3-32.2%) had between one and three ANC visits, and 16.6% (95% CI: 16.3-17.0%) had no ANC visit. Higher household wealth status and parental education, belonging to other tribes or castes, a woman's autonomy to visit the health facility, residence in Southern India, and exposure to the media were enablers of the recommended ANC (≥4) visits. In contrast, lower household wealth, a lack of a woman's autonomy, and residence in East and Central India were barriers to appropriate ANC service use. Our study suggests that barriers to the recommended ANC service use in India can be amended by socioeconomic and health policy interventions, including improvements in education and social services, as well as community health education on the importance of ANC.

Stillbirth in the African Great Lakes region: A pooled analysis of Demographic and Health Surveys.

BACKGROUND: The aim of this study was to estimate the rate and predisposing factors associated with stillbirth in the African Great Lakes region (Burundi, Congo Democratic Republic, Kenya, Rwanda, Tanzania and Uganda). METHODS AND FINDINGS: Cross-sectional data from the most recent Demographic and Health Surveys (DHS) of countries in the African Great Lakes region were used in this study. DHS from Congo Democratic Republic was not included in the analyses because data was not collected for stillbirth in the country survey. A pooled sample of 57046 pregnancies of 7+ months' duration and 1002 stillbirths were included in the final analysis. The analyses were restricted to stillbirths reported in the 5 years preceding the surveys. Stillbirth was defined as foetal death in the third trimester (≥ 28 weeks' gestation). Multilevel logistic regression analyses that adjusted for cluster and survey weights were used to determine the factors associated with stillbirth in the Africa Great Lakes region. Health service variables and maternal medical condition variables were not included in the analysis because DHS do not collect data on these variables for pregnancies that did not result in a live birth. Burundi had the highest stillbirth rate per 1000 births [23% (95% CI: 20, 25)] within the region. Factors associated with stillbirth across the region were: no schooling [1.85 (95%Cl: 1.44, 2.38)] and primary education [1.64 (1.32, 2.05)], advanced maternal age [2.39 (95% CI: 1.59, 3.59)], smoking [1.99 (95% CI: 1.19, 3.32)] and drinking water from unimproved sources [1.18 (95% CI: 1.01, 1.37)]. CONCLUSION: To achieve Every Newborn Action Plan (ENAP) stillbirth target of 12 per 1000 births or less by 2030, policy interventions to prevent stillbirth should focus on promoting community-based socio-educational programmes which encourages a healthy lifestyle especially among uneducated women in the advanced age spectrum.