scholarly journals HIV and cardiovascular disease in sub-Saharan Africa: Demographic and Health Survey data for 4 countries

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Leonard E. Egede ◽  
Rebekah J. Walker ◽  
Patricia Monroe ◽  
Joni S. Williams ◽  
Jennifer A. Campbell ◽  
...  
Keyword(s):  
South Africa ◽  
Cardiovascular Disease ◽  
Health Survey ◽  
Survey Design ◽  
Logistic Models ◽  
Population Data ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Sub Saharan ◽  
The Relationship

Abstract Background Investigate the relationship between two common cardiovascular diseases and HIV in adults living in sub-Saharan Africa using population data provided through the Demographic and Health Survey. Methods Data for four sub-Saharan countries were used. All adults asked questions regarding diagnosis of HIV, diabetes, and hypertension were included in the sample totaling 5356 in Lesotho, 3294 in Namibia, 9917 in Senegal, and 1051 in South Africa. Logistic models were run for each country separately, with self-reported diabetes as the first outcome and self-reported hypertension as the second outcome and HIV status as the primary independent variable. Models were adjusted for age, gender, rural/urban residence and BMI. Complex survey design allowed weighting to the population. Results Prevalence of self-reported diabetes ranged from 3.8% in Namibia to 0.5% in Senegal. Prevalence of self-reported hypertension ranged from 22.9% in Namibia to 0.6% in Senegal. In unadjusted models, individuals with HIV in Lesotho were 2 times more likely to have self-reported diabetes (OR = 2.01, 95% CI 1.08–3.73), however the relationship lost significance after adjustment. Individuals with HIV were less likely to have self-reported diabetes after adjustment in Namibia (OR = 0.29, 95% CI 0.12–0.72) and less likely to have self-reported hypertension after adjustment in Lesotho (OR = 0.63, 95% CI 0.47–0.83). Relationships were not significant for Senegal or South Africa. Discussion HIV did not serve as a risk factor for self-reported cardiovascular disease in sub-Saharan Africa during the years included in this study. However, given the growing prevalence of diabetes and hypertension in the region, and the high prevalence of undiagnosed cardiovascular disease, it will be important to continue to track and monitor cardiovascular disease at the population level and in individuals with and without HIV. Conclusions The odds of self-reported diabetes in individuals with HIV was high in Lesotho and low in Namibia, while the odds of self-reported hypertension in individuals with HIV was low across all 4 countries included in this study. Programs are needed to target individuals that need to manage multiple diseases at once and should consider increasing access to cardiovascular disease management programs for older adults, individuals with high BMI, women, and those living in urban settings.

scholarly journals Paid sex among men in sub-Saharan Africa: Analysis of the demographic and health survey

2020 ◽  
Vol 11 ◽  
pp. 100459 ◽  
Author(s):  
Abdul-Aziz Seidu ◽  
Eugene Kofuor Maafo Darteh ◽  
Akwasi Kumi-Kyereme ◽  
Kwamena Sekyi Dickson ◽  
Bright Opoku Ahinkorah
Keyword(s):  
Health Survey ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Sub Saharan

scholarly journals Determinants of full childhood immunization among children aged 12–23 months in sub-Saharan Africa: a multilevel analysis using Demographic and Health Survey Data

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Setegn Muche Fenta ◽  
Hailegebrael Birhan Biresaw ◽  
Kenaw Derebe Fentaw ◽  
Shewayiref Geremew Gebremichael
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Health Facility ◽  
Health Survey ◽  
Logistic Regression Model ◽  
Immunization Coverage ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Childhood Immunization ◽  
Sub Saharan

Abstract Background Sub-Saharan Africa is one of the highest under-five mortality and low childhood immunization region in the world. Children in Sub-Saharan Africa are 15 times more likely to die than children from high-income countries. In sub-Saharan Africa, more than half of under-five deaths are preventable through immunization. Therefore, this study aimed to identify the determinant factors of full childhood immunization among children aged 12–23 months in sub-Saharan Africa. Methods Data for the study was drawn from the Demographic and Health Survey of nine sub-Saharan African countries. A total of 21,448 children were included. The two-level mixed-effects logistic regression model was used to identify the individual and community-level factors associated with full childhood immunization Result The prevalence of full childhood immunization coverage in sub-Saharan Africa countries was 59.40% (95% CI: 58.70, 60.02). The multilevel logistic regression model revealed that secondary and above maternal education (AOR = 1.38; 95% CI: 1.25, 1.53), health facility delivery (AOR = 1.51; 95% CI: 1.41, 1.63), fathers secondary education and above (AOR = 1.28, 95% CI: 1.11, 1.48), four and above ANC visits (AOR = 2.01; 95% CI: 1.17, 2.30), PNC visit(AOR = 1.55; 95% CI: 1.46, 1.65), rich wealth index (AOR = 1.26; 95% CI: 1.18, 1.40), media exposure (AOR = 1.11; 95% CI: 1.04, 1.18), and distance to health facility is not a big problem (AOR = 1.42; 95% CI: 1.28, 1.47) were significantly associated with full childhood immunization. Conclusion The full childhood immunization coverage in sub-Saharan Africa was poor with high inequalities. There is a significant variation between SSA countries in full childhood immunization. Therefore, public health programs targeting uneducated mothers and fathers, rural mothers, poor households, and those who have not used maternal health care services to promote full childhood immunization to improve child health. By enhancing institutional delivery, antenatal care visits and maternal tetanus immunization, the government and other stakeholders should work properly to increase child immunization coverage. Furthermore, policies and programs aimed at addressing cluster variations in childhood immunization need to be formulated and their implementation must be strongly pursued.

scholarly journals Risk factor of neonatal mortality in Ethiopia: multilevel analysis of 2016 Demographic and Health Survey

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Setegn Muche Fenta ◽  
Hailegebrael Birhan Biresaw ◽  
Kenaw Derebe Fentaw
Keyword(s):  
Neonatal Mortality ◽  
Health Survey ◽  
Wealth Index ◽  
Demographic And Health Survey ◽  
Community Level ◽  
Sub Saharan Africa ◽  
Multiple Birth ◽  
African Countries ◽  
Sub Saharan ◽  
Newborn Children

Abstract Background In sub-Saharan African countries, neonatal mortality rates remain unacceptably high. Ethiopia is one of the countries in Sub-Saharan Africa with the highest death rates of newborn children. Therefore, this study aimed to identify the risk factors associated with neonatal mortality in Ethiopia at the individual and community level. Methods The 2016 Ethiopian Demographic and Health Survey data was accessed and used for the analysis. A total of 2449 newborn children were included in the analysis. The multilevel logistic regression model was used to identify the significant factor of neonatal mortality. Adjusted odds ratio with a 95% confidence interval and p-value < 0.05 in the multilevel model was reported. Results A total of 2449 newborn children were included in this study. Multiple birth type (AOR = 3.18; 95% CI 2.78, 3.63), birth order of ≥ 5 (AOR = 2.15; 95% CI 1.75, 2.64), pre-term birth (AOR = 5.97; 95% CI 4.96, 7.20), no antenatal care (ANC) visit during pregnancy (AOR = 2.33; 95% CI 2.09, 2.61), not received TT injection during pregnancy (AOR = 2.28; 95% CI 1.92, 2.71), delivered at home (AOR = 1.99; 95% CI 1.48, 2.69), less than 24 months of preceding birth interval (AOR = 1.51; 95% CI 1.35,1.68), smaller birth size (AOR = 1.58; 95% CI 1.46, 1.71), never breastfeeding (AOR = 2.43; 95% CI 2.17, 2.72), poor wealth index (AOR = 1.29; 95% CI 1.17,1.41), non-educated mothers (AOR = 1.58; 95% CI 1.46, 1.71), non-educated fathers (AOR = 1.32; 95% CI 1.12, 1.54), rural residence (AOR = 2.71; 95% CI 2.23, 3.29), unprotected water source (AOR = 1.35; 95% CI 1.16, 1.58), and have no latrine facility (AOR = 1.78; 95% CI 1.50, 2.12) were associated with a higher risk of neonatal mortality. Neonates living in Amhara, Oromia, Somali, Harari, and Dire Dawa had a higher risk of neonatal mortality compared to Tigray. Moreover, the random effects result showed that about 85.57% of the variation in neonatal mortality was explained by individual- and community-level factors. Conclusions The findings suggest that attention be paid to education-based programs for mothers that would highlight the benefits of delivery care services, such as ANC visits, TT injections, and facility births. Meanwhile, public health initiatives should focus on expanding access to quality sanitation facilities, especially for latrines and drinking water that could improve neonatal health at the community-level as a whole.

scholarly journals Time to death and its associated factors among infants in sub-Saharan Africa using the recent demographic and health surveys: shared frailty survival analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sofonyas Abebaw Tiruneh ◽  
Ejigu Gebeye Zeleke ◽  
Yaregal Animut
Keyword(s):  
Survival Analysis ◽  
Infant Mortality ◽  
Health Survey ◽  
Associated Factors ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Time To Death ◽  
Live Births ◽  
Shared Frailty ◽  
Sub Saharan

Abstract Background Globally, approximately 4.1 million infants died, accounting for 75% of all under-five deaths. In sub-Saharan Africa (SSA), infant mortality was 52.7/1000 live births in 2018 This study aimed to assess the pooled estimate of infant mortality rate (IMR), time to death, and its associated factors in SSA using the recent demographic and health survey dataset between 2010 and 2018. Methods Data were retrieved from the standard demographic and health survey datasets among 33 SSA countries. A total of 93,765 samples were included. The data were cleaned using Microsoft Excel and STATA software. Data analysis was done using R and STATA software. Parametric shared frailty survival analysis was employed. Statistical significance was declared as a two-side P-value < 0.05. Results The pooled estimate of IMR in SSA was 51 per 1000 live births (95% Confidence Interval (CI): 46.65–55.21). The pooled estimate of the IMR was 53 in Central, 44 in Eastern, 44 in Southern, and 57 in Western Africa per 1000 live births. The cumulative survival probability at the end of 1 year was 56%. Multiple births (Adjusted Hazard ratio (AHR) = 2.68, 95% CI: 2.54–2.82), low birth weight infants (AHR = 1.28, 95% CI: 1.22–1.34), teenage pregnancy (AHR = 1.19, 95 CI: 1.10–1.29), preceding birth interval <  18 months (AHR = 3.27, 95% CI: 3.10–3.45), birth order ≥ four (AHR = 1.14, 95% CI:1.10–1.19), home delivery (AHR = 1.08, 95% CI: 1.04–1.13), and unimproved water source (AHR = 1.07, 95% CI: 1.01–1.13), female sex (AHR = 0.86, 95% CI: 0.83–0.89), immediately breastfeed (AHR = 0.24, 95% CI: 0.23–0.25), and educated mother (AHR = 0.88, 95% CI: 0.82–0. 95) and educated father (AHR = 0.90, 95% CI: 0.85–0.96) were statistically significant factors for infant mortality. Conclusion Significant number of infants died in SSA. The most common cause of infant death is a preventable bio-demographic factor. To reduce infant mortality in the region, policymakers and other stakeholders should pay attention to preventable bio-demographic risk factors, enhance women education and improved water sources.

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