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 ◽  
...  

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.

2020 ◽  
Author(s):  
Asmamaw Atnafu ◽  
Malede Mequanent Sisay ◽  
Getu Debalkie Demissie ◽  
Zemenu Tadesse Tessema

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


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sofonyas Abebaw Tiruneh ◽  
Ejigu Gebeye Zeleke ◽  
Yaregal Animut

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.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Leonard E. Egede ◽  
Rebekah J. Walker ◽  
Patricia Monroe ◽  
Joni S. Williams ◽  
Jennifer A. Campbell ◽  
...  

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.


2021 ◽  
Author(s):  
Juwel Rana ◽  
Md Nuruzzaman Khan ◽  
Rakibul M Islam ◽  
Razia Aliani ◽  
Youssef Oulhote

Abstract Background: Household air pollution (HAP) from solid fuel use (SFU) for cooking has been considered a public health threat, particularly for women and children in low and middle-income countries (LMICs), with limited evidence. This study was undertaken to investigate the effects of HAP on neonatal, infant, and under-five child mortality in Myanmar. Methods: This cross-sectional study employed data from the Myanmar Demographic and Health Survey (MDHS), the first nationally representative survey conducted in 2016. Data were collected from MDHS based on stratified two-stage cluster sampling design applied in urban and rural areas. The sample consists of 3249 under-five children in the household with a 98% response rate. Exposure measures were HAP (coal and biomass) and level of exposure to HAP (no exposure, moderate and high exposure). The main outcomes were neonatal, infant, and under-five child mortality reported by mothers presented in rates and risk ratios with 95% confidence intervals, accounting for survey weight and cluster variation. Results: The prevalence of SFU was 79.0%. The neonatal, infant and under-five child mortality rates were 26, 45, and 49 per 1,000 live births, respectively. The risks of infant (aRR 2.02; 95% CI: 1.01-4.05) and under-five mortality (aRR 2.16; 95% CI: 1.07-4.36) mortality were higher among children from households with SFU compared to children from households using clean fuel. When applying an augmented measure of exposure to HAP by incorporating SFU and the kitchen's location, the likelihoods of infant and under-five mortality were even higher among moderate and highly exposed children than unexposed children with similar trends. Neonatal mortality was not associated with either HAP exposure or levels of exposure to HAP.Conclusion: Infants and under-five children are at higher risk of mortality from exposure to HAP. Increasing access to cookstoves and clean fuels is imperative to reduce the risk of infant and under-five child mortality in LMICs, including Myanmar.


2020 ◽  
Vol 11 ◽  
pp. 100459 ◽  
Author(s):  
Abdul-Aziz Seidu ◽  
Eugene Kofuor Maafo Darteh ◽  
Akwasi Kumi-Kyereme ◽  
Kwamena Sekyi Dickson ◽  
Bright Opoku Ahinkorah

2021 ◽  
Author(s):  
Mathewos Alemu Gebremichael ◽  
Melkamu Merid Mengesha ◽  
Samuel Hailegebrea’l ◽  
Hanan Abdulkadir ◽  
Biruk Bogale Wolde

Abstract Background: Childhood overweight and obesity are emerging public health challenges of the 21st century. There was a 24% increase in the number of overweight children under the age of five years in low-income countries. Despite the significant risk of childhood overweight/obesity for non-communicable diseases, premature death, disability, and reproductive disorders in their adult life, little attention has been given. Therefore, we aimed to assess the prevalence of overweight/obesity and associated factors among under-five children. Methods: This study was conducted using data from a nationally representative sample of the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS). The Mini EDHS was a community-based cross-sectional study that covered all the administrative regions of Ethiopia. The data collection was conducted between March 21, 2019, to June 28, 2019. Both descriptive and analytic findings were produced using STATA version 14. For associated factors, a multilevel binary logistic regression model was fitted to account for the hierarchical nature of the data. Adjusted odds ratio (aOR) with 95% confidence interval (CI) was reported to show the strength of association and statistical significance. Results: A total 5,164 under-five children were included in this study. The overall prevalence of overweight/obesity was 2.14 % (95% CI; 1.74-2.53) (more than two standard deviations (+2SD) above the median of the reference population) based on the body mass index (BMI) Z-score. The odds of overweight/obesity was higher among children aged less than 6 months (aOR= 5.19; 95%CI: 2.98-9.04), 6-24 months (aOR = 1.97; 95%CI: 1.18-3.29), delivered by caesarean section (aOR = 1.75; 95% CI: 1.84-3.65), living in Addis Ababa city (aOR = 2.16; 95%CI: 1.59-7.81), Oromia region (aOR = 1.93; 95CI: 1.71-5.24), having mothers with the age 40-49 years (aOR = 3.91; 95%CI: 1.90-16.92), uses traditional contraceptive methods (aOR = 2.63; 95%CI: 1.66-10.47), and households headed by male (aOR = 1.71; 95%CI: 1.84-3.48). Conclusion: This study showed that childhood overweight/obesity is the problem in Ethiopia. There was an interplay of several factors that affect childhood obesity including child factors, maternal socio-demography, and healthcare utilization, and geography of residence. Therefore, strategies to reduce childhood overweight and obesity should consider a multitude of contributing factors.


Author(s):  
Abdollah ALMASIAN KIA ◽  
Sahar GOODARZI ◽  
Heshmatollah ASADI ◽  
Ardeshir KHOSRAVI ◽  
Aziz REZAPOUR

Background: Nutritional status at the early stages of children’s lives is essential for growth and development not only in infancy but also in adult life. This study aimed to measure the inequality in malnutrition among under-five children in Iran and explore the impact of socioeconomic factors on this inequality using a regression-based decomposition approach. Methods: Data were extracted from Iran's Multiple-Indicator Demographic and Health Survey 2010. The concentration index of stunting, underweight, and wasting were applied in order to measure the magnitude of socioeconomic inequality in child malnutrition. Moreover, the concentration indices were decomposed to understand the contribution of socioeconomic variables in childhood malnutrition inequality. Results: The obtained concentration indices of stunting, underweight, and wasting were respectively -0.177, -0.092, and -0.031. Socioeconomic inequality in stunting and underweight was statistically significant, however this socioeconomic gradient was not observed in wasting. More than 50% of the inequality in stunting and about 63% of the inequality in underweight were influenced by socioeconomic status. Furthermore, maternal education was associated with 19% and 22% of inequality in stunting and underweight respectively. Conclusion: The average reduction of malnutrition indices at the national level hides the burden of malnutrition among children in poor families. If government and policymakers seek to solve this problem, they have to take direct and targeted actions to eliminate the existing inequalities in the socioeconomic determinants associated with malnutrition.  


2020 ◽  
Author(s):  
Melkamu Molla Ferede

Abstract Background: Diarrhoea is one of the major contributors to deaths among under-five children in Ethiopia. Studies conducted in different countries showed that rural children are highly affected by diarrhoea than urban children. Thus, the purpose of this study was to identify the socio-demographic, environmental and behavioural associated factors of the occurrence of diarrhoea among under-five children in rural Ethiopia. Methods: Data for the study was drawn from the 2016 Ethiopia Demographic and Health Survey. A total of 8,041 under-five children were included in the study. Data was analysed using SPSS version 23. Binary logistic regression was used for the analysis of the data to assess the association of occurrence of diarrhoea with socio-demographic, environmental and behavioural associated factors among under-five children. Results: Children aged 6-11 months (AOR: 3.5; 95% CI: 2.58-4.87), 12-23 months (AOR: 3.1; 95% CI: 2.33-4.04) and 24-35 months (AOR: 1.7; 95% CI: 1.26-2.34) were significantly associated with diarrhoea. Diarrhoea was also significantly associated with male children (AOR: 1.3; 95% CI: 1.05-1.58), children in Afar region (AOR: 1.92; 95% CI: 1.01-3.64), Somali region (AOR: .42; 95% CI: (.217-.80), Gambela region (AOR: 2.12; 95% CI: 1.18, 3.81), households who shared toilet facilities with other households (AOR: 1.4; 95% CI: 1.09-1.77), fourth birth order (AOR: .1.81; 95% CI: 1.17-2.79), fifth and above birth order (AOR: 1.85; 95% CI: 1.22, 2.81) and the interaction of older mothers with three or more under-five children (AOR: 4.7; 95% CI: 1.64-13.45). Conclusion: The age of a child, sex of a child, region, birth order, toilet facilities shared with other households and the interaction effect of number of under-five children with mother’s current age are identified as associated factors for diarrhoea occurrence among under-five children in rural Ethiopia. The findings carry implications for the need for planning and implementing appropriate prevention strategies that target rural under-five children.


2020 ◽  
Vol 13 (1) ◽  
pp. 289-297
Author(s):  
Mthobisi Mxolisi Zondi ◽  
Henry G Mwambi ◽  
Sileshi Fanta Melesse

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.


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