Impact of High-Risk Fertility Behaviour on Under-five Mortality in Asia and Africa: Evidence from Demographic and Health Surveys

2020 ◽  
Author(s):  
Rafi Amir-ud-Din ◽  
Lubna Naz ◽  
Anila Rubi ◽  
Muhammad Usman ◽  
Umesh Ghimire
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Birth Order ◽  
Birth Interval ◽  
Health Surveys ◽  
Maternal Age ◽  
Demographic And Health Surveys ◽  
Index Child ◽  
Under Five ◽  
Fertility Behaviour

Abstract Background: Younger or older maternal age, short inter-pregnancy birth interval, and higher birth order of the child are considered to be high-risk fertility behaviour (HRFB). Under-five mortality being disproportionately concentrated in Asia and Africa, this study analyses the association between HRFB and under-five mortality in selected Asian and African countries.Methods: This study used Integrated Public Microdata Series-Demographic and Health Surveys (IPUMS-DHS) data from 32 countries in Sub-Saharan Africa, Middle East, North Africa, and South Asia from 1986 to 2017 (N=1,467,728). Previous evidence hints at four markers of HRFB: women’s age at the birth of index child <18 years or >34 years, short preceding birth interval (PBI) <24 months, and child’s birth order >3. Using logistic regression, we analysed the change in the odds of under-five mortality as a result of i) exposure to HRFB individually, ii) exposure to any single HRFB risk factor, iii) exposure to multiple HRFB risk factors, and iv) exposure to specific combinations of HRFB risk factors. Results: Mother’s age at the birth of index child <18 years and preceding birth interval (PBI) <24 months were significant risk factors of under-five mortality, while a child’s birth order >3 was a protective factor against under-five mortality. Presence of any single HRFB was associated with 1.067 times higher risk of under-five mortality (OR = 1.067; 95% CI: 1.042 - 1.090; P < 0.001). Presence of multiple HRFBs was associated with 1.392 times higher risk of under-five mortality (OR = 1.392; 95% CI: 1.355 - 1.431; P < 0.001). Some specific combinations of risky fertility behaviour such as younger maternal age (<18 years) and short preceding birth interval (PBI <24) significantly increased the odds of under-five mortality.Conclusion: Younger maternal age and short preceding birth interval significantly increase the risk of under-five mortality. This highlights the need for effective legislation to curb child marriages and increased public investment in reproductive healthcare with a focus on higher contraceptive use for an optimal interpregnancy interval.

scholarly journals Impact of High-Risk Fertility Behaviour on Under-five Mortality in Asia and Africa: Evidence from Demographic and Health Surveys

2020 ◽  
Author(s):  
Rafi Amir-ud-Din ◽  
Lubna Naz ◽  
Anila Rubi ◽  
Muhammad Usman ◽  
Umesh Ghimire
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Birth Order ◽  
Birth Interval ◽  
Health Surveys ◽  
Maternal Age ◽  
Demographic And Health Surveys ◽  
Index Child ◽  
Under Five ◽  
Fertility Behaviour

Abstract Background: Smaller or older maternal age, smaller inter-pregnancy birth interval, and higher birth order of the child are considered to be high-risk fertility behaviour (HRFB). Under-five mortality being disproportionately concentrated in Asia and Africa, this study analyses the association between HRFB and under-five mortality in selected Asian and African countries. Methods: This study used Integrated Public Microdata Series-Demographic and Health Surveys (IPUMS-DHS) data from 32 countries in Sub-Saharan Africa, Middle East, North Africa, and South Asia from 1986 to 2017 (N=1,467,728). Previous evidence hints at four markers of HRFB: women's age at the birth of index child <18 years or >34 years, smaller preceding birth interval (PBI) <24 months, and child's birth order >3. Using logistic regression, we analysed the change in the odds of under-five mortality as a result of i) exposure to HRFB individually, ii) exposure to any single HRFB risk factor, iii) exposure to multiple HRFB risk factors, and iv) exposure to specific combinations of HRFB risk factors. Results: Mother's age at the birth of index child <18 years and preceding birth interval (PBI) <24 months were significant risk factors of under-five mortality, while a child's birth order >3 was a protective factor against under-five mortality. Presence of any single HRFB was associated with 1.067 times higher risk of under-five mortality (OR = 1.067; 95% CI: 1.042 - 1.090; P < 0.001). Presence of multiple HRFBs was associated with 1.392 times higher risk of under-five mortality (OR = 1.392; 95% CI: 1.355 - 1.431; P < 0.001). Some specific combinations of risky fertility behaviour such as younger maternal age (<18 years) and smaller preceding birth interval (PBI <24) significantly increased the odds of under-five mortality.Conclusion: Younger maternal age and small preceding birth interval significantly increase the risk of under-five mortality. This highlights the need for effective legislation to curb child marriages and increased public investment in reproductive healthcare with a focus on higher contraceptive use for an optimal interpregnancy interval.

scholarly journals Impact of high-risk fertility behaviours on underfive mortality in Asia and Africa: evidence from Demographic and Health Surveys

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rafi Amir-ud-Din ◽  
Lubna Naz ◽  
Aneela Rubi ◽  
Muhammad Usman ◽  
Umesh Ghimire
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Birth Order ◽  
Birth Interval ◽  
Health Surveys ◽  
Maternal Age ◽  
Demographic And Health Surveys ◽  
Index Child ◽  
Underfive Mortality ◽  
Age At Birth

Abstract Background Maternal age < 18 or > 34 years, short inter-pregnancy birth interval, and higher birth order are considered to be high-risk fertility behaviours (HRFB). Underfive mortality being disproportionately concentrated in Asia and Africa, this study analyses the association between HRFB and underfive mortality in selected Asian and African countries. Methods This study used Integrated Public Microdata Series-Demographic and Health Surveys (IPUMS-DHS) data from 32 countries in sub-Saharan Africa, Middle East, North Africa and South Asia from 1986 to 2017 (N = 1,467,728). Previous evidence hints at four markers of HRFB: women’s age at birth of index child < 18 or > 34 years, preceding birth interval < 24 months and child’s birth order > 3. Using logistic regression, we analysed change in the odds of underfive mortality as a result of i) exposure to HRFB individually, ii) exposure to any single HRFB risk factor, iii) exposure to multiple HRFB risk factors, and iv) exposure to specific combinations of HRFB risk factors. Results Mother’s age at birth of index child < 18 years and preceding birth interval (PBI) < 24 months were significant risk factors of underfive mortality, while a child’s birth order > 3 was a protective factor. Presence of any single HRFB was associated with 7% higher risk of underfive mortality (OR 1.07; 95% CI 1.04–1.09). Presence of multiple HRFBs was associated with 39% higher risk of underfive mortality (OR 1.39; 95% CI 1.36–1.43). Some specific combinations of HRFB such as maternal age < 18 years and preceding birth interval < 24 month significantly increased the odds of underfive mortality (OR 2.07; 95% CI 1.88–2.28). Conclusion Maternal age < 18 years and short preceding birth interval significantly increase the risk of underfive mortality. This highlights the need for an effective legislation to curb child marriages and increased public investment in reproductive healthcare with a focus on higher contraceptive use for optimal birth spacing.

scholarly journals Impact of High-Risk Fertility Behavior on Under-five Mortality in Asia and Africa: Evidence from Demographic and Health Surveys

2020 ◽  
Author(s):  
Rafi Amir-ud-Din ◽  
Lubna Naz ◽  
Anila Rubi ◽  
Muhammad Usman ◽  
Umesh Ghimire
Keyword(s):  
High Risk ◽  
Birth Order ◽  
Child Mortality ◽  
South Asian ◽  
Birth Interval ◽  
Health Surveys ◽  
Demographic And Health Surveys ◽  
African Countries ◽  
Under Five ◽  
Increased Risk

Abstract Background High-risk fertility behaviors (HRFBs) are common in African and South Asian countries and can potentially affect child survival. This study examines the high-risk fertility behaviors concerning child mortality across the countries. Method Data from a series of Demographic and Health Surveys from the year 1987 to 2016 from 24 South Asian and African countries (N=1,224,832) were included in this study. Four HRFB parameters - women’s age <18 or >=34 years at childbirth, birth spacing <24 months, and child order of birth >3, were categorized into three exposure levels: i) exposure to any HRFBs category (exposure to any of four parameters); ii) exposure to single and multiple HRFB category (a combination of two or more parameters); and iii) the specific type of HRFB category (either single or multiple HRFB categories). Bivariate descriptive analysis and a multivariate logistic regression model were used to examine the association between under-five child mortality and various measures of HRFBs. Results Our pooled data analysis reported that HRFBs was associated with an increased risk of under-five child mortality in Asian and African countries. Children of women exposed to HRFBs were at increased risk of under-five mortality by 77% (Adjusted Odds Ratio (AOR) = 1.771, 95% confidence interval (CI): 1.722 - 1.821). Children born within 24 months’ birth interval were four times more likely to die (AOR = 4.995, 95% CI: 4.842-5.152) than their counterparts. However, a single high-risk category was not associated with under-five mortality, and birth order was found to be a protective factor against under-five mortality. Age of women (<18 or >=34 years) was found to be a risk factor of Under-five child mortality in 16 countries. The association between under-five mortality risk and birth interval of less than 24 months was highly significant in all countries. Conclusion Women’s age at childbirth, birth interval, and birth order were significantly associated with under-five mortality. Quality care for women and newborns need to be ensured through investment in the healthcare system, and by promoting health services with more focus given to the valuable populations through sexual and reproductive health education programs and empowering women.

scholarly journals Exploring spatiotemporal distribution of under-five mortality in Ethiopia: further analysis of Ethiopian Demographic and Health Surveys 2000, 2005, 2011 and 2016

2021 ◽  
Vol 5 (1) ◽  
pp. e001047
Author(s):  
Alemneh Mekuriaw Liyew ◽  
Ayenew Kassie ◽  
Achamyeleh Birhanu Teshale ◽  
Adugnaw Zeleke Alem ◽  
Yigizie Yeshaw ◽  
...  
Keyword(s):  
High Risk ◽  
Health Surveys ◽  
Spatiotemporal Distribution ◽  
Scan Statistics ◽  
Demographic And Health Surveys ◽  
Hotspot Analysis ◽  
Under Five ◽  
Geographical Regions ◽  
Risk Areas ◽  
Benishangul Gumuz Region

ObjectiveThe aim of this study was to explore spatiotemporal distribution of under-five mortality in Ethiopia using data from four (2000, 2005, 2011 and 2016) consecutive demographic and health surveys.MethodsA total of 41 498 children were included from four consecutive Ethiopian Demographic and Health Surveys. The geospatial analysis was conducted by using ArcGIS V.10.7 and saTScan V.9.6. Thus, spatial autocorrelation, hotspot analysis, spatial interpolation and spatial scan statistics were carried out for each survey separately to show the temporal pattern of geographically risk areas of under-five mortality in Ethiopia. Finally, the most under-five mortality rate (U5MR) risk areas in each survey period were mapped.ResultsUnder-five mortality was spatially clustered in Ethiopia (Moran’s Index: 0.046–0.096, p<0.01). The Benishangul-Gumuz region was consistently at a higher risk in the last two decades. Additional hotspot areas were detected at Afar and Amhara (in 2000, 2005, 2016), at Gambala (in 2011) and the South Nation Nationality and People’s (SNNP) Region (in 2016). Moreover, 160 primary clusters were identified. Of these, 85 clusters (log-likelihood ratio (LLR)=13.10, p<0.01) were from Benishangul-Gumuz and Amhara regions (in 2000); 67 clusters (LLR=12.93, p<0.01) were from Afar and Amhara regions (in 2005); 4 clusters (LLR=10.54, p<0.01) were from Benishangul-Gumuz region (in 2011); and another 4 clusters (LLR=11.85, p<0.01) were from Afar region (in 2016).ConclusionHigh-risk areas were detected mainly in the Benishangul-Gumuz and Afar regions. As a result, designing under-five population targeted intervention programmes in those high-risk geographical regions was vital to reduce under-five mortality in Ethiopia.

scholarly journals Trends of inequalities in care seeking behavior for under-five children with suspected pneumonia in Ethiopia: evidence from Ethiopia demographic and health surveys (2005–2016)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Gebretsadik Shibre ◽  
Betregiorgis Zegeye ◽  
Dina Idriss-Wheeler ◽  
Sanni Yaya
Keyword(s):  
Health Surveys ◽  
Demographic And Health Surveys ◽  
Care Seeking ◽  
Health Seeking ◽  
Under Five ◽  
Under Five Children ◽  
Care Seeking Behavior ◽  
Seeking Behavior ◽  
Index Of Inequality ◽  
Suspected Pneumonia

Abstract Background Pneumonia is a leading public health problem in under-five children worldwide and particularly in Africa. Unfortunately, progress in reducing pneumonia related mortality has been slow. The number of children with symptoms of pneumonia taken to health facilities for treatment is low in Ethiopia, and disparities among sub-groups regarding health seeking behavior for pneumonia have not been well explored in the region. This study assessed the trends of inequalities in care seeking behavior for children under five years of age with suspected pneumonia in Ethiopia. Methods Using cross-sectional data from the 2005, 2011 and 2016 Ethiopia Demographic and Health Surveys (DHS) and the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT), this study investigated the inequalities in health seeking behavior for children with suspected pneumonia. Four measures of inequality were calculated: Difference, Ratio, Slope Index of Inequality and Relative Index of Inequality. Results were disaggregated by wealth, education, residence, and sex with computed 95% Uncertainty Intervals for each point estimate to determine significance. Results The percentage of under-five children with symptoms of pneumonia who were taken to a health facility was significantly lower for children in the poorest families, 15.48% (95% UI; 9.77, 23.64) as compared to children in the richest families, 61.72% (95% UI; 45.06, 76.02) in 2011. Substantial absolute (SII = 35.61; 95% UI: 25.31, 45.92) and relative (RII = 4.04%; 95% UI: 2.25, 5.84) economic inequalities were also observed. Both educational and geographic inequalities were observed; (RII = 2.07; 95% UI: 1.08, 3.06) and (D = 28.26; 95% UI: 7.14, 49.37), respectively. Economic inequality decreased from 2011 to 2016. There was no statistically significant difference between male and female under-five children with pneumonia symptoms taken to health facility, in all the studied years. Conclusions Health care seeking behavior for children with pneumonia was lower among the poorest and non-educated families as well as children in rural regions. Policies and strategies need to target subpopulations lagging behind in seeking care for pneumonia treatment as it impedes achievement of key UN sustainable development goals (SDGs).

scholarly journals Distribution of wealth-stratified inequalities on maternal and child health parameters and influences of maternal-related factors on improvements in child health survival rate in Bangladesh

2020 ◽  
pp. 136749352090966
Author(s):  
Rashidul Alam Mahumud ◽  
Jeff Gow ◽  
Abdur Razzaque Sarker ◽  
Marufa Sultana ◽  
Golam Hossain ◽  
...  
Keyword(s):  
Risk Factors ◽  
Socioeconomic Status ◽  
Child Health ◽  
Maternal And Child Health ◽  
Health Care Service ◽  
Demographic And Health Surveys ◽  
Maternal Risk ◽  
Under Five ◽  
And Child Health ◽  
Health Parameters

This study investigates the influence of household socioeconomic status and maternal risk factors and health-care service availability on changes in the under-five mortality rate (U5MR) in Bangladesh. Potential risk factors that influence U5MRs were investigated using multilevel logistic regression analysis and 29,697 data points from the Bangladesh Demographic and Health Surveys, 2004–2014. Maternal and child health parameters such as childhood morbidity, low vaccination coverage, poor utilization of perinatal care, and malnutrition were found to be more concentrated in poorer households. Pooled estimates indicated that the aggregate odds of U5MR risk declined by 18% to 2007 to 38% to 2014 compared to 2004. However, inadequate antenatal care, short birth interval, primiparity, illiteracy, delayed conception, and low socioeconomic status were significantly associated with a higher risk of under-five mortality. The magnitude of inequality using these measures were significantly associated with large variations in U5MR changes. Although a significant reduction in U5MR in Bangladesh was found in this study, substantial socioeconomic variations still persist. The analysis suggests that decreasing inequality in society is required for further reductions in child mortality. This will help to achieve a more equitable distribution of child and neonatal outcomes and assist the achievement of Sustainable Development Goals 3.2 by 2030.

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