Geographical variations of food insecurity and its associated factors in Bangladesh: Evidence from pooled data of seven cross-sectional surveys.

Food insecurity has multiple negative effects on maternal and child health and nutritional outcomes. There is a dearth of up-to-date evidence on the prevalence of food insecurity in Bangladesh based on geographical variations. We investigated the prevalence of food insecurity based on geographical variations and its associated factors. We pooled data from seven cross-sectional surveys conducted in 15,009 households from March 2015 to May 2018. This study was a part of the evaluation of the Maternal Infant Young Child Nutrition Phase 2 programme implemented by BRAC, one of the largest international non-governmental organizations located in Bangladesh that covered rural areas in 26 districts and two urban slums in Dhaka, Bangladesh. We used Household Food Insecurity Access Scale (a widely used scale to measure household food insecurity) to estimate the food insecurity status from the data collected through a face-to-face interview using a structured questionnaire. Hot spot analysis was conducted using the Getis-Ord Gi* statistic. The multiple logistic regression model was applied to explore the associated factors of food insecurity. The food insecurity hotspots were in the northwestern, central-southwestern, and coastal districts of Bangladesh. The overall prevalence of mild, moderate, and severe food insecurity were 12.7%, 13.8%, and 3.5%, respectively. In the adjusted model, household heads and caregivers of children with five or more years of schooling had respectively 42% (adjusted odds ratio (AOR): 0.58, 95% confidence interval (CI): 0.52, 0.64) and 46% (AOR: 0.54; 95% CI: 0.49, 0.61) less likelihood to suffer from food insecurity. Households in the middle (AOR: 0.58, 95% CI: 0.52, 0.65) and rich (AOR: 0.32, 95% CI: 0.28, 0.36) wealth status had lower odds of food insecurity. Food insecurity is widely spread in rural districts of Bangladesh and the degree of vulnerability is higher among the households of the northwestern, central-southwestern, and coastal areas of Bangladesh. Comprehensive interventions including strategies for poverty reduction and education for all might be effective to reduce food insecurity at rural households in Bangladesh.

Early impact of COVID-19 pandemic on childbearing plan in Bangladesh.

The COVID-19 pandemic has already had many consequences for social life. This paper focused on the early impact of COVID-19 pandemic on pandemic-period childbearing plan that was made before the onset of the pandemic. Data were collected by posting survey questionnaire on social networks in Bangladesh. A total of 384 Bangladeshi men and women of reproductive age were analyzed using descriptive and multivariate logistic regression analyses after adjusting the data by applying sampling weights. One out of every five respondents was found to cancel their pandemic-period pregnancy plan by considering potential crises related to COVID-19 pandemic. Our findings showed that in canceling pandemic-period pregnancy, factors related to the potential crises of the pandemic emerged as more important than some persistent determinants of fertility, fertility intention and non-realization of fertility intention. Infection of COVID-19 to the acquaintance, being teenager, complete stopping and decline in income, and acquaintance's suggestion not to get pregnant during the pandemic played key role in canceling the pandemic-period pregnancy plan. Although it is uncertain if the impact of COVID-19 will substantially be reflected in the future fertility estimates of Bangladesh, the pandemic showed negative impact on pandemic-period childbearing plan during the early months.

Socioeconomic Inequalities in Women's Undernutrition: Evidence from Nationally Representative Cross-Sectional Bangladesh Demographic and Health Survey 2017-2018.

The objective of this study was to explore the socioeconomic inequalities in undernutrition among ever-married women of reproductive age. We used nationally representative cross-sectional data from the Bangladesh Demographic and Health Survey, 2017-2018. Undernutrition was defined as a body mass index (BMI) of <18.5 kg/m2. The concentration index (C) was used to measure the socioeconomic inequality in the prevalence of women's undernutrition. A multiple binary logistic regression model was carried out to find out the factors associated with women's undernutrition. The prevalence of undernutrition among women of 15-49 years was 12%. Among them, 8.5% of women were from urban and 12.7% of women were from rural areas. The prevalence of undernutrition was highest (21.9%) among women who belonged to the adolescent age group (15-19 years). The C showed that undernutrition was more prevalent among the socioeconomically worst-off (poorest) group in Bangladesh (C = -0.26). An adjusted multiple logistic regression model indicated that women less than 19 years of age had higher odds (adjusted odds ratio, AOR: 2.81; 95% confidence interval, CI: 2.23, 3.55) of being undernourished. Women from the poorest wealth quintile (AOR: 3.93, 95% CI: 3.21, 4.81) had higher odds of being undernourished. On the other hand, women who had completed secondary or higher education (AOR: 0.55; 95% CI: 0.49, 0.61), married women who were living with their husbands (AOR: 0.72, 95% CI: 0.61, 0.86), and women exposed to mass media (AOR: 0.87, 95% CI: 0.79, 0.97) were less likely to be undernourished. Intervention strategies should be developed targeting the poorest to combat undernutrition in women of reproductive age in Bangladesh.

Customer Loyalty towards Islamic Banks: The Mediating Role of Trust and Attitude

Islamic banks have faced many challenges either from rivals or customers who look for better products and services. This study examined both the direct and mediating effects of selected variables influencing Islamic banks’ customer loyalty. The direct links were satisfaction, attitude towards Islamic banks, customer trust, and religious obligation to customer loyalty. On the other hand, the indirect links were through the mediators’ trust and attitude. A sample of 416 working Muslims in the UAE was collected and analysed. We used PLS-SEM techniques and the SmartPLS 3.0 software package to investigate customers’ loyalty towards Islamic banks. It was found that all the direct links were positive and significant, and were mediating relationships. This result implied that the respondent’s attitude toward Islamic banks and customer trust plays a significant role in understanding the relationship between customer satisfaction, religious obligation, and customer loyalty. In other words, both customer satisfaction and religious obligation indirectly created customer loyalty through the mediators. This study is one of the few studies that incorporate religious obligation as one of the determinants of customer loyalty.