Application of a count regression model to identify the risk factors of under-five child morbidity in Bangladesh

BACKGROUND

Bangladesh has seen a significant decline in child mortality in recent decades, but morbidity among children <5 y of age remains high. The aim of this analysis was to examine trends and identify risk factors related to child morbidity in Bangladesh.

METHODS

This analysis is based on data from four successive cross-sectional Bangladesh Demographic and Health Surveys for the years 2007, 2011, 2014 and 2017-18. Several count regression models were fitted and the best model was used to identify risk factors associated with morbidity in children <5 y of age.

RESULTS

According to the results of the trend analysis, the prevalence of non-symptomatic children increased and the prevalence of fever, diarrhoea and acute respiratory infections (ARIs) decreased over the years. The Vuong's non-nested test indicated that Poisson regression could be used as the best model. From the results of the Poisson regression model, child age, sex, underweight, wasted, stunting, maternal education, wealth status, religion and region were the important determinants associated with the risk of child morbidity. The risk was considerably higher among women with a primary education compared with women with a secondary or greater education in Bangladesh.

CONCLUSIONS

This analysis concluded that child morbidity is still a major public health problem for Bangladesh. Thus it is important to take the necessary measures to reduce child morbidity (particularly fever, diarrhoea and ARI) by improving significant influencing factors.

Determinants of Early Initiation of Breastfeeding Practices of Newborns in Bangladesh: Evidence From Bangladesh Demographic and Health Survey

Purpose

Early initiation of breastfeeding is essential for newborns after birth to reduce mortality and morbidity. Early initiation of breastfeeding awareness/activities may be a vital role in Bangladesh to minimize the infant deaths. The aim of this study is to identify factors associated with the early initiation of breastfeeding practices.

Methods

In this study, Bangladesh Demographic and Health Survey (BDHS) 2017 to 2018 data was used that will be the first analysis for early initiation of breastfeeding practices in this data set in Bangladesh. Considering the importance of early breastfeeding practices, the dependent variable was divided into 3 categories (immediately: breastfeeding for less than 20 minutes, within an hour, and after 1 hour) to find a significant association with early breastfeeding practices in Bangladesh. Bivariate analysis is used to examine the differentials to early initiation of breastfeeding according to the selected number of background variables. Multinomial logistic regression is used to determine predictive independent factors associated with the dependent variable.

Results

Using BDHS 2017 to 2018 data on 4950 observations, this study revealed that 24.6% of mothers breastfed their babies immediately after birth and 36.2% of mothers breastfed their babies within an hour. The rate of mothers who breastfeed their babies immediately after birth is lowest at the age of 20 to 25, mothers with a higher level of education, richer class, Khulna division, the first child born, Islam, and private/NGO. With a multivariate analysis of breastfeeding within an hour compared to immediate breastfeeding: richest (OR = 0.71), Barisal division (OR = 0.72), and Buddhism ( O R = 0 . 52 ) are less likely to breastfeed newborns compared to the reference category. On the other hand, primary, secondary, and higher educated mothers are more likely to breastfeed newborns compared to no educated mothers. Besides, breastfeeding newborns after 1 hour compared to immediate after birth: mothers aged 20 to 25 (OR = 1.40), richer (OR = 1.46), higher secondary (OR = 2.06), Khulna division (OR = 1.81), and private/NGO (OR = 2.51) are more likely breastfeed newborn.

Conclusion

Mother's education, wealth index, region, birth order, religion, and place of delivery have a significant impact on the early initiation of breastfeeding practices, but the rate of immediate breastfeeding is relatively lower than others. Ultimately, this information will help planners and other professionals plan strategies and interventions to provide good quality health services.