Abstract
BackgroundThe cause-specific under-five mortality of Bangladesh has been studied by fitting cumulative incidence function (CIF) based Fine and Gray competing risk regression model (1999). For the purpose of analysis, Bangladesh Demographic and Health Survey (BDHS), 2011 data set was used.MethodsThree types of mode of mortality for the under-five children are considered. These are disease, non-disease and other causes. Product-Limit survival probabilities for the under-five child mortality with log-rank test were used to select a set of covariates for the regression model. The covariates found to have significant association in bivariate analysis were only considered in the regression analysis.ResultsPotential determinants of under-five child mortality due to disease is size of child at birth, while gender of child, NGO (non-government organization) membership of mother, mother’s education level, and size of child at birth are due to non-disease and age of mother at birth, NGO membership of mother, and mother’s education level are for the mortality due to other causes.ConclusionFemale participation in the education programs needs to be increased because of the improvement of child health and government should arrange family and social awareness programs as well as health related programs for women so that they are aware of their child health.
Highlights
The cause-specific under-five mortality of Bangladesh has been studied by fitting cumulative incidence function (CIF) based Fine and Gray competing risk regression model (1999)
As this paper aims to determine the potential risk factors for the causes of under-five child mortality, not to find any national level estimates, the design weights have not been considered in the regression analysis [33]
The associated log-rank test confirms that age of mother at birth, region, mother's education level, wealth index, birth order number, gender of child, NGO membership of mother and size of child at birth provides significant influence on under-five child mortality and these covariates are only considered in the regression analysis
Summary
The cause-specific under-five mortality of Bangladesh has been studied by fitting cumulative incidence function (CIF) based Fine and Gray competing risk regression model (1999). The study of under-five mortality is an important issue in public health programs. A country's level of socioeconomic development and quality of life are reflected by its under-five mortality rates. To monitor and evaluate population and health programs and policies, under-five mortality rates are used. The Under-Five Mortality Rate (U5MR) for Bangladesh in 1989–93 was 133 per 1000 live births, while in 2007–2011 it decreased to 53 per 1000 live births [1,2,3]. It indicates that at the present mortality level, one in every 19 children dies before
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