Contraceptive use among married women of reproductive age has showed a substantial progress over the last few decades in Bangladesh. This study explores the sociodemographic factors associated with contraceptive use among ever-married women of reproductive age in Bangladesh by utilizing the information extracted from three of the Bangladesh Demographic and Health Surveys (BDHSs) in 1993–1994, 2004 and 2014. Bivariate analysis was conducted by performing chi-squared test of independence to explore the relationship between selected sociodemographic factors and dependent variables. To know the adjusted effects of covariates, a popular binary logistic regression model was considered. Respondents’ current age, place residence, division religion, education, age at first marriage, family planning (FP) media exposure, ideal number of children and fertility preferences are the significant determinants according to the most recent survey, BDHS 2014. However, wealth index and a respondent’s current working status were found to be significant factors only in BDHS 2004. The results of the study strongly recommend efforts to increase the education level among poor people, particularly among women in Bangladesh. Program interventions, including health behavior education and family planning services and counselling, are especially needed for some categories of the population, including those living in rural areas, Sylhet, Chittagong and Dhaka divisions, as well as illiterate and Muslim ever-married women.
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[Formula: see text]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.
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