Household environmental health hazards’ effect on under-five mortality in sub-Saharan Africa: What can we learn from the Demographic and Health Survey?

2017 ◽  
Vol 12 (6) ◽  
pp. 780-794 ◽  
Author(s):  
Vissého Adjiwanou ◽  
Alehegn Worku Engdaw
Keyword(s):  
Environmental Health ◽  
Health Survey ◽  
Health Hazards ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Under Five ◽  
Sub Saharan

scholarly journals Time to death and its determinants among under-five children in Sub-Saharan Africa using the recent (2010–2018) demographic and health survey data: country-based shared frailty analyses

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Desalegn Tesfa ◽  
Sofonyas Abebaw Tiruneh ◽  
Melkalem Mamuye Azanaw ◽  
Alemayehu Digssie Gebremariam ◽  
Melaku Tadege Engdaw ◽  
...  
Keyword(s):  
Health Care ◽  
Health Survey ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Early Age ◽  
Under Five ◽  
Under Five Children ◽  
Risk Of Death ◽  
Shared Frailty ◽  
Sub Saharan

Abstract Background Substantial global progress has been made in reducing under-five mortality since 1990, yet progress is insufficient to meet the sustainable development goal of 2030 which calls for ending preventable child deaths. There are disproportional survivals among children in the world. Therefore, the study aimed to assess the Survival status of under-five mortality and determinants in Sub-Saharan African Countries using the recent DHS data. Methods The data was retrieved from the birth record file from the standard Demographic and Health Survey dataset of Sub-Saharan Africa countries. Countries that have at least one survey between 2010 and 2018 were retrieved. Parametric shared frailty survival analysis was employed. Results A total of 27,221 (7.35%) children were died before celebrating their fifth birthday. Children at an early age were at higher risk of dying and then decrease proportionally with increased age. The risk of death among rich and middle family were lowered by 18 and 8% (AHR =0.82, 95% CI: 0.77-0.87) and (AHR = 0.92, 95% CI: 0.87-0.97) respectively, the hazard of death were 11, 19, 17, 90 and 55% (AHR = 1.06, 95% CI: 1.00-1.12), (AHR = 1.11,95%CI:1.04-1.19), (AHR = 1.17, 95% CI:1.12-1.23), (AHR = 1.90, 95%CI: 1.78-2.04) and (AHR = 1.55, 95% CI:1.47-1.63) higher than among children in rural, use unimproved water, delivered at home, born less than 18 months and between 18 and 23 months birth intervals respectively. The hazard of death was 7% among females and low birth weights (AHR = 0.93, 95%CI: 0.90 – 0.97) and (AHR = 0.93 95%CI: 0.89-0.97) respectively. There was also a significant association between multiple births and birth orders (AHR = 2.11, 95%CI: 2.51 – 2.90), (AHR = 3.01, 95%CI: 2.85-3.19) respectively. Conclusions Death rate among under-five children was higher at an early age then decreases as age advanced. Wealth status, residence, water source, place of delivery, sex of the child, plurality, birth size, preceding birth interval, and birth order were the most predictor variables. The health care program should be designed to encourage a healthy family structure. The health care providers should intervene in the community to inspire maternal health services.

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.

Geographical disparities and determinants of childhood diarrheal illness in Ethiopia: Further Analysis of 2016 Ethiopian Demographic and Health Survey

2020 ◽  
Author(s):  
Asmamaw Atnafu ◽  
Malede Mequanent Sisay ◽  
Getu Debalkie Demissie ◽  
Zemenu Tadesse Tessema
Keyword(s):  
Health Survey ◽  
Mixed Model ◽  
Addis Ababa ◽  
Demographic And Health Survey ◽  
Sub Saharan Africa ◽  
Childhood Diarrhea ◽  
Mixed Effect ◽  
Under Five ◽  
Diarrheal Illness ◽  
Under Five Children

Abstract Background: Childhood diarrheal illness is the second leading cause of child mortality in Sub Saharan Africa, including Ethiopia. Studies hypothesized that there are regional variations. Thus, the study aimed to examine the spatial variations and to identify the determinants of childhood diarrhea in Ethiopia. Methods: Data from the 2016 Ethiopia Demographic and Health Survey (EDHS) was analyzed. This nationwide survey involved 10,337 children below 5 years old. The survey was carried out using a two-stage stratified sampling design. Moran’s I and LISA were used to detect the spatial clustering of diarrhea cases and to test for clustering in the data. Descriptive statistics followed by a mixed-effect logistic regression was used to identify the factors associated with the prevalence of diarrhea. Results: Overall, 11.87% of children were experienced childhood diarrheal illness. The study reveals high-risk areas were Southern and central Ethiopia, while eastern and west were indicated as low-risk regions. Younger children were more likely to suffer from childhood diarrhea than their older counterparts: age 6 to 12, 12 to 23, and 24 to 35 months were (AOR = 2.66, (95% CI 2.01, 3.52)), (AOR = 2.45, (95% CI 1.89, 3.17)), and (AOR = 1.53, (95% CI 1.17, 2.01)), respectively. Children living in Tigray (AOR= 1.69 (95% CI, 1.01, 2.83)), Amhara (AOR = 1.80, (95% CI, 1.06, 3.06), SNNPR (AOR = 2.04, 95% CI 1.22, 3.42), and Gambela (AOR = 2.05, (95% CI 1.22, 3.42)), faced greater risk than Addis Ababa city. The odds of getting diarrhea is decreased by 24% among households having ≥3 under-five children as compared to households having only one under-five child (AOR = 0.76 (95% CI: 0.61, 0.94)). The odds of children getting diarrheal illness among working mothers increase by 19% as compared to not working (AOR = 1.19 (95% CI 1.03, 1.38)). Conclusions: childhood diarrheal illness is highly prevalent among under-five children, particularly in SNNP, Gambella, Oromia, and Benishangul Gumuz regions. Capacity building programs with best experience sharing and better household environment may prove effective in reducing the incidence of childhood diarrhea in Ethiopia. Keywords: Spatial statistics, Ethiopia, under-five children, Diarrhea, Generalized Mixed Model

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 Spatial Modelling of Under-five Mortality in Lesotho with Reference to 2014 Demographic and Health Surveillance Dataset

2020 ◽  
Vol 13 (1) ◽  
pp. 289-297
Author(s):  
Mthobisi Mxolisi Zondi ◽  
Henry G Mwambi ◽  
Sileshi Fanta Melesse
Keyword(s):  
Bayesian Inference ◽  
Health Survey ◽  
Spatial Modelling ◽  
Demographic And Health Survey ◽  
Under Five ◽  
The North ◽  
Nationally Representative ◽  
Sub Saharan ◽  
New Policies ◽  
Demographic Risk

Background: Lesotho is the country located in the Sub-Saharan region of Africa countries where under-five mortality (U5M) is still a big issue due to some significant social and demographic risk factors. Hence, the investigation of some social and demographic factors that are associated with the U5M, is a critical problem that needs due consideration. Methods: This study used the 2014 Lesotho Demographic and Health Survey (LDHS) that had a sample of over 9000 representative households. Individually, data consisting of a nationally representative sample of 9,543 households in the 2014 Lesotho Demographic and Health Survey were analysed. The Random Walk second-order (RW2) model was adopted for analysis. Maps construction and modelling were done through the spatially structured and unstructured random effects using the Gaussian Markov Random Field and a zero-mean Gaussian process, respectively. The full Bayesian inference was adopted to produce the results using the Integrated Nested Laplace Approximation (INLA) function in R-software. Results: In this study, age at death of an under-five child was found to have a linear association with the U5M in Lesotho. The non-stationary models outperform the stationary models. The low-risk pattern was found in the north of Lesotho, and the highest risk occurs in the centre through the south, east, west, southeast, and northwest. Breastfeeding has contributed significantly to under-five mortality to most of Lesotho districts. Conclusion: This study adopted the newly developed statistical models to model and mapped the U5M in Lesotho. The full Bayesian inference was used to produce the results using R-INLA package. The findings from this study can help introduce new policies that will help reduce disparity in Lesotho.

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.

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