ABSTRACT
Background: Despite various interventions to combat child malnutrition in sub-Saharan Africa, wasting remains a critical public health concern for children aged 6-59 months. Wasting is a significant predictor of child survival and development, with a heightened risk of mortality among children. However, there is a lack of recent comprehensive data on the prevalence, severity level, and factors contributing to wasting in this age group. Objective: To identify the severity levels of wasting and its individual and community-level factors contributing to wasting among children aged 6-59 months in Sub-Saharan African countries. Methods: This research utilized Demographic and Health Survey data from 34 Sub-Saharan African countries, spanning the period from 2007 to 2022. The study included a weighted sample of 180,317 6-59-month-old children. We employed a multilevel proportional odds model to identify factors predicting the severity of wasting. Adjusted odds ratios and 95% confidence intervals were reported to demonstrate significant relationships (p < 0.05) in the final model. Results: In Sub-Saharan Africa, 7.09% of children aged 6-59 months experience wasting (95% CI: 6.97, 7.20%). Among these children, the prevalence of moderate wasting is 4.97% (95% CI: 4.90, 5.10%), while severe wasting affects 2.12% (95% CI: 2.0, 2.20%). Factors such as term/post-term babies, wealth, frequency of feeding, improved toilet facilities, water sources, employed and educated mothers, rural residence, high community maternal education, and community media exposure are strongly associated with a lower chance of experiencing severe form of wasting. Conversely, birth order, family size, breastfeeding, diarrhea, cough, and fever, high community poverty, female household heads, and all Sub-Saharan Africa regions are linked to higher levels of wasting. Conclusion: The study findings underscore the persistent challenge of wasting among Sub-Saharan Africa's children, with 7.09% affected, of which 4.97% experience moderate wasting and 2.12% severe wasting. The identified predictors of wasting highlight the complex interplay of socio-economic, environmental, and health-related determinants. To address this issue improve access to healthcare and nutrition services, enhance sanitation infrastructure, promote women's empowerment, and implement community-based education programs. Additionally, prioritize early detection through routine screening and strengthen health systems' capacity to provide timely interventions.
ABSTRACT
BACKGROUND: The maternal continuum of care (CoC) is a cost-effective approach to mitigate preventable maternal and neonatal deaths. Women in developing countries, including Tanzania, face an increased vulnerability to significant dropout rates from maternal CoC, and addressing dropout from the continuum remains a persistent public health challenge. METHOD: This study used the 2022 Tanzania Demographic and Health Survey (TDHS). A total weighted sample of 5,172 women who gave birth in the past 5 years and had first antenatal care (ANC) were included in this study. Multilevel binary logistic regression analyses were used to examine factors associated with dropout from the 3 components of maternal CoC (i.e., ANC, institutional delivery, and postnatal care (PNC)). RESULTS: The vast majority, 83.86% (95% confidence interval (CI): 82.83%, 84.83%), of women reported dropout from the maternal CoC. The odds of dropout from the CoC was 36% (AOR = 0.64, (95% CI: 0.41, 0.98)) lower among married women compared to their divorced counterparts. Women who belonged to the richer wealth index reported a 39% (AOR = 0.61, (95% CI: 0.39, 0.95)) reduction in the odds of dropout, while those belonged to the richest wealth index demonstrated a 49% (AOR = 0.51, (95% CI: 0.31, 0.82)) reduction. The odds of dropout from CoC was 37% (AOR = 0.63, (95% CI: 0.45,0.87)) lower among women who reported the use of internet in the past 12 months compared to those who had no prior exposure to the internet. Geographical location emerged as a significant factor, with women residing in the Northern region and Southern Highland Zone, respectively, experiencing a 44% (AOR = 0.56, 95% CI: 0.35-0.89) and 58% (AOR = 0.42, 95% CI: 0.26-0.68) lower odds of dropout compared to their counterparts in the central zone. CONCLUSION: The dropout rate from the maternity CoC in Tanzania was high. The findings contribute to our understanding of the complex dynamics surrounding maternity care continuity and underscore the need for targeted interventions, considering factors such as marital status, socioeconomic status, internet usage, and geographical location.
Subject(s)
Continuity of Patient Care , Maternal Health Services , Multilevel Analysis , Humans , Female , Tanzania , Adult , Pregnancy , Young Adult , Adolescent , Maternal Health Services/statistics & numerical data , Continuity of Patient Care/statistics & numerical data , Patient Dropouts/statistics & numerical data , Health Surveys , Middle Aged , Prenatal Care/statistics & numerical data , Postnatal Care/statistics & numerical data , Socioeconomic FactorsABSTRACT
Birth weight significantly determines newborns immediate and future health. Globally, the incidence of both low birth weight (LBW) and macrosomia have increased dramatically including sub-Saharan African (SSA) countries. However, there is limited study on the magnitude and associated factors of birth weight in SSA. Thus, thus study investigated factors associated factors of birth weight in SSA using multilevel multinomial logistic regression analysis. The latest demographic and health survey (DHS) data of 36 sub-Saharan African (SSA) countries was used for this study. A total of a weighted sample of 207,548 live births for whom birth weight data were available were used. Multilevel multinomial logistic regression model was fitted to identify factors associated with birth weight. Variables with p-value < 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multivariable multilevel multinomial logistic regression analysis, the adjusted Relative Risk Ratio (aRRR) with the 95% confidence interval (CI) was reported to declare the statistical significance and strength of association. The prevalence of LBW and macrosomia in SSA were 10.44% (95% CI 10.31%, 10.57%) and 8.33% (95% CI 8.21%, 8.45%), respectively. Maternal education level, household wealth status, age, and the number of pregnancies were among the individual-level variables associated with both LBW and macrosomia in the final multilevel multinomial logistic regression analysis. The community-level factors that had a significant association with both macrosomia and LBW were the place of residence and the sub-Saharan African region. The study found a significant association between LBW and distance to the health facility, while macrosomia had a significant association with parity, marital status, and desired pregnancy. In SSA, macrosomia and LBW were found to be major public health issues. Maternal education, household wealth status, age, place of residence, number of pregnancies, distance to the health facility, and parity were found to be significant factors of LBW and macrosomia in this study. Reducing the double burden (low birth weight and macrosomia) and its related short- and long-term effects, therefore, calls for improving mothers' socioeconomic status and expanding access to and availability of health care.
Subject(s)
Birth Weight , Fetal Macrosomia , Infant, Low Birth Weight , Humans , Africa South of the Sahara/epidemiology , Female , Adult , Infant, Newborn , Fetal Macrosomia/epidemiology , Pregnancy , Male , Young Adult , Risk Factors , Logistic Models , Multilevel Analysis , Adolescent , Prevalence , Socioeconomic FactorsABSTRACT
INTRODUCTION: Fever and cough in under-five children are common and predominately self-limiting illnesses. Inappropriate prescribing of antibiotics in sub-Saharan Africa is a significant public health concern. However, prescription sources and use among children with fever or cough have not been explored. Therefore, we explored the factors associated with the use of antibiotics obtained from prescription and non-prescription sources for children with illnesses associated with fever and cough. METHODS: A secondary data analysis was conducted based on the Demographic and Health Survey (DHS) data from 37 sub-Saharan African countries. A total weighted sample of 18,866 under-five children who had a fever/cough and took antibiotics were considered for this study. Given the hierarchical nature of DHS data and the use of antibiotics prescribed from the formal healthcare setting (> 10%), a multilevel modified poisson regression model was fitted. Deviance was used for model comparison and the model with the lowest deviance value was chosen as the best-fitted model. Variables with p ≤ 0.2 in the bivariable analysis were considered for the multivariable modified poisson regression model. In the multivariable multilevel modified poisson regression model, the Adjusted Prevalence Odds Ratio (APOR) with a 95% Confidence Interval (CI) and p-value < 0.05 were reported to declare a significant association with taking antibiotics for fever/cough prescribed from formal healthcare setting. RESULTS: In sub-Saharan Africa, the proportion of use of antibiotics from informal healthcare setting for fever and cough among under-five children was 67.19% (95% CI: 66.51%, 67.85%). In the multilevel modified poisson regression analysis; residing in a rural area (APOR = 1.08, 95% CI: 1.04, 1.12), a child aged 36-47 months (APOR = 0.94, 95% CI: 0.90, 0.98), a child aged 48-59 months (APOR = 0.89, 95% CI: 0.84, 0.94), maternal primary education (APOR = 0.96, 95% CI: 0.93, 0.99), maternal secondary education (APOR = 0.95, 95% CI: 0.92, 0.99), belonged the middle household wealth status (APOR = 1.07, 95% CI: 1.02, 1.11), maternal exposure to news/electronic media (APR = 1.06, 95% CI: 1.02, 1.10), being from a household with 2 under-five children (APR = 0.94, 95% CI: 0.91, 0.97), being from a household with 3 under-five children (APR = 0.89, 95% CI: 0.85, 0.93), being from a household with 4 under-five children (APR = 0.90, 95% CI: 0.83, 0.98), and children of caregivers who were not involved in decision-making for their child health issues were significantly associated with taking antibiotics prescribed from formal healthcare setting for fever/cough among under-five children. CONCLUSION: Only two-thirds of the antibiotics used for children under five who had fever and cough were prescribed from formal healthcare setting. Our findings underscore the significance of addressing healthcare disparities, improving access to qualified healthcare providers, promoting maternal education, and empowering mothers in healthcare decision-making to ensure appropriate antibiotic use in this vulnerable population. Further research and interventions targeted at these factors are warranted to optimize antibiotic prescribing practices and promote responsible antibiotic use in the management of fever and cough in under-five children.