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The demand for district level statistics has increased tremendously in Bangladesh due to existence of decentralised approach to governance and service provision. The Bangladesh Demographic Health Surveys (BDHS) provide a wide range of invaluable data at the national and divisional level but they cannot be used directly to produce reliable district-level estimates due to insufficient sample sizes. The small area estimation (SAE) technique overcomes the sample size challenges and can produce reliable estimates at the district level. This paper uses SAE approach to generate model-based district-level estimates of diarrhoea prevalence among under-5 children in Bangladesh by linking data from the 2014 BDHS and the 2011 Population Census. The diagnostics measures show that the model-based estimates are precise and representative when compared to the direct survey estimates. Spatial distribution of the precise estimates of diarrhoea prevalence reveals significant inequality at district-level (ranged 1.1–13.4%) with particular emphasis in the coastal and north-eastern districts. Findings of the study might be useful for designing effective policies, interventions and strengthening local-level governance. [ABSTRACT FROM AUTHOR]

Bangladesh is a culturally conservative nation with limited freedom for women. A number of studies have evaluated intimate partner violence (IPV) and spousal physical violence in Bangladesh; however, the views of women have been rarely discussed in a quantitative manner. Three nationwide surveys in Bangladesh (2007, 2011, and 2014) were analyzed in this study to characterize the most vulnerable households, where women themselves accepted spousal physical violence as a general norm. 31.3%, 31.9% and 28.7% women in the surveys found justification for physical violence in household in 2007, 2011 and 2014 respectively. The binary logistic model showed wealth index, education of both women and their partner, religion, geographical division, decision making freedom and marital age as significant household contributors for women’s perspective in all the three years. Women in rich households and the highly educated were found to be 40% and 50% less likely to accept domestic physical violence compared to the poorest and illiterate women. Similarly, women who got married before 18 years were 20% more likely accept physical violence in the family as a norm. Apart from these particular groups (richest, highly educated and married after 18 years), other groups had around 30% acceptance rate of household violence. For any successful attempt to reduce spousal physical violence in the traditional patriarchal society of Bangladesh, interventions must target the most vulnerable households and the geographical areas where women experience spousal violence. Although this paper focuses on women’s attitudes, it is important that any intervention scheme should be devised to target both men and women. [ABSTRACT FROM AUTHOR]

Background: The prevalence of overweightness in Bangladesh is increasing, while underweightness also continues to persist. A better understanding of the patterns and socioeconomic risk factors of both conditions, particularly among women, is critical in order to promote the development of interventions to improve maternal health in Bangladesh. This study therefore sought to assess the patterns of under- and overweightness between 2004 and 2014 and to examine the predictors of individual and community-level inequalities of under- and overnutrition in Bangladesh. Methods: Cross-sectional data of 10, 431, and 16,478 ever-married nonpregnant women aged between 15 and 49 years who did not give birth in the two months preceding the survey were extracted from the 2004 and 2014 Bangladesh Demographic and Health Surveys, respectively. Body mass index was used to measure weight status, and underweightness, at-risk for overweightness, overweightness, and obesity were the main outcome variables. Patterns of nutritional change over time was examined by considering the annual average rate of change. Multilevel multinomial logistic regression and quantile regression were used to identify the inequalities. Results: In 2014, the age-adjusted prevalence values of underweightness, at-risk for overweightness, overweightness, and obesity were 19.7%, 14.9%, 18.1% and 4.0%, respectively. A higher average annual rate of reduction of underweightness was found among wealthier, highly educated, and wealthier community–living women, while a rate of increase of overweightness was found among poorer, uneducated, and poor community–living women. Individual and community-level inequalities of malnutrition were observed among these populations. In comparison with women living in low wealth communities, women from wealthier communities were at an increased risk of being at-risk for overweightness [adjusted odds ratio (AOR): 1.53, 95% confidence interval (CI): 1.23–1.91], overweight (AOR: 1.60, 95% CI: 1.27–2.00), and obese (AOR: 2.12, 95% CI: 1.42–3.18). Conclusions: This study suggests the coexistence of a double burden of under- and overnutrition in Bangladesh and that the prevalence of overweightness surpasses that of underweightness. The burdens of under- and overnutrition are strongly associated with women’s individual socioeconomic positions and the nature of the community in which they live. [ABSTRACT FROM AUTHOR]