Prevalence and Determinants of the Gender Differentials Risk Factors of Child Deaths in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey, 2011

Hossain, Mosharaf; Mani, Kulanthayan K. C.; Islam, Rafiqul

doi:10.1371/journal.pntd.0003616

Cited by 29 publications

(41 citation statements)

References 13 publications

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“…Previous studies found a similar association between birth interval and child mortality [12,27,28,[49][50][51].…”

Section: Descriptive Statisticssupporting

confidence: 69%

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

Amir-ud-Din

Naz²,

Rubi

et al. 2020

Preprint

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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.

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“…Previous studies found a similar association between birth interval and child mortality [12,27,28,[49][50][51].…”

Section: Descriptive Statisticssupporting

confidence: 69%

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

Amir-ud-Din

Naz²,

Rubi

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…According to BDHS report (2014), coverage of child vaccinations of major preventable diseases (tuberculosis, diphtheria, pertussis, tetanus, polio, measles) and vitamin A supplementation is lower in Sylhet which may directly affect the immunity system of the children resulting high child morbidity and mortality. Under both models, maternal education (higher education) has strong inverse relationship with under-five mortality and this results have been found similar to the previous studies (Hossain et al 2015, Chowdhury et al 2010, Rahman 2008 conducted in Bangladesh. This may happen due to the facts that female literacy enhances maternal awareness about child immunization, child nutrition and facilitates their access to modern child health care services Alva 1998, Vikram et al 2012).…”

Section: Semiparametric Survival Regression Analysissupporting

confidence: 88%

“…Based on some previous studies (Chowdhury 2013, Hossain et al 2015, Islam et al 2013, Karmaker et al 2014, Muriithi and Muriithi 2015, Nasejje et al 2015, Nisar and Dibley 2014, Kumar and File 2010, Rahman 2008 ), a set of explanatory variables are selected in this study. Mother's age at birth (< 20 years, 20 -30 years, > 30 years), region (Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur and Sylhet ), mother's education (no education, primary, secondary, higher), wealth index (poor, middle, rich) , birth order number (first birth, others), gender of the child (male, female), place of residence (urban, rural), place of delivery (hospital/clinic, others), mother's membership of Non-Government Organizations (NGO) (member, non-member), child's size at birth (small, average to large), access to media (exposure, non-exposure) are the variables considered to analyze under-five child mortality data in Bangladesh.…”

Section: Data and Variablesmentioning

confidence: 99%

Under-five child mortality in Bangladesh: Classical and Bayesian approaches to Cox proportional hazard model

Nilima

2018

Bangladesh J. Sci. Res.

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This study examines the determinants of under-five child mortality in Bangladesh using the data extracted from the Bangladesh Demographic and Health Survey (BDHS), 2011 and 2014. Product-Limit method and Log-Rank test have been used for bivariate analysis. Cox proportional hazard model has been employed under both classical and Bayesian approaches. Cox regression analysis reveals that region (Barisal and Sylhet), maternal education (higher education), mother’s membership of NGO have significant impact on child mortality. The results obtained using Bayesian Cox PH model are almost similar except one key finding. Under Bayesian analysis, child’s size at birth appeared as potential determinant of under-five mortality whereas it has insignificant effect on child survival when classical Cox model has been applied.Bangladesh J. Sci. Res. 30(1&2): 45-54, December-2017

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“…The odds of child mortality among the children with PBI <24 months were nearly twice those of children with PBI ≥24 months. Many previous studies found a similar association between short preceding birth interval and increased risk of child mortality [7,33,[51][52][53][54].…”

Section: Specific Combinations Of Risk Factors Of High-risk Fertilitysupporting

confidence: 53%

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

Amir-ud-Din

Naz²,

Rubi

et al. 2020

Preprint

View full text Add to dashboard Cite

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.

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Prevalence and Determinants of the Gender Differentials Risk Factors of Child Deaths in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey, 2011

Cited by 29 publications

References 13 publications

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

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

Under-five child mortality in Bangladesh: Classical and Bayesian approaches to Cox proportional hazard model

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

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