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Optimal breastfeeding practices among mothers have been proven to have health and economic benefits, but evidence on breastfeeding practices among adolescent mothers in Bangladesh is limited. Hence, this study aims to estimate breastfeeding indicators and factors associated with selected feeding practices. The sample included 2554 children aged 0-23 months of adolescent mothers aged 12-19 years from four Bangladesh Demographic and Health Surveys collected between 2004 and 2014. Breastfeeding indicators were estimated using World Health Organization (WHO) indicators. Selected feeding indicators were examined against potential confounding factors using univariate and multivariate analyses. Only 42.2% of adolescent mothers initiated breastfeeding within the first hour of birth, 53% exclusively breastfed their infants, predominant breastfeeding was 17.3%, and 15.7% bottle-fed their children. Parity (2-3 children), older infants, and adolescent mothers who made postnatal check-up after two days were associated with increased exclusive breastfeeding (EBF) rates. Adolescent mothers aged 12-18 years and who watched television were less likely to delay breastfeeding initiation within the first hour of birth. Adolescent mothers who delivered at home (adjusted OR = 2.63, 95% CI:1.86, 3.74) and made postnatal check-up after two days (adjusted OR = 1.67, 95% CI: 1.21, 2.30) were significantly more likely to delay initiation breastfeeding within the first hour of birth. Adolescent mothers living in the Barisal region and who listened to the radio reported increased odds of predominant breastfeeding, and increased odds for bottle-feeding included male infants, infants aged 0-5 months, adolescent mothers who had eight or more antenatal clinic visits, and the highest wealth quintiles. In order for Bangladesh to meet the Sustainable Development Goals (SDGs) 2 and 3 by 2030, breastfeeding promotion programmes should discourage bottle-feeding among adolescent mothers from the richest households and promote early initiation of breastfeeding especially among adolescent mothers who delivered at home and had a late postnatal check-up after delivery.

Background: Globally, depressive disorders are one of the most common forms of mental illness. Using data from the most recent Global Burden of Disease, Injury, and Risk Factor Study 2016 (GBD 2016), we aimed to describe the burden of disease attributable to depressive disorders in terms of prevalence and disability-adjusted life years (DALYs) in South Asia countries (namely India, Pakistan, Bangladesh, Nepal and Bhutan)., Methods: GBD 2016 used epidemiological data on depressive disorders (major depression and dysthymia) from South Asia and a Bayesian meta-regression tool (DisMod-MR 2.1) to model prevalence and DALYs of depressive disorders by age, sex, country and year. DALYs were calculated from the years lived with disability (YLDs), derived from the prevalence of depressive disorders and disability weights, obtained from a community and internet-based surveys. The analyses adjusted for comorbidity, data sources and multiple modelling, and estimates were presented with 95% uncertainty intervals (UI)., Results: In 2016, the age-standardised prevalence of depressive disorders in South Asia was 3.9% (95% UI: 3.6-4.2%), 4.4% (95% UI: 4.4-4.8%) in Bangladesh, 3.9% (95% UI: 3.6-4.2%) in India, 3.0% (95% UI: 2.8-3.3%) in Pakistan, 4.0% (95% UI: 3.7-4.3%) in Nepal and 3.7% (95% UI: 3.4-4.1%) in Bhutan. In South Asia, depressive disorders accounted for 9.8 million DALYs (95% UI: 6.8-13.2 million) or 577.8 (95% UI: 399.9-778.9) per 100,000 population in 2016. Of these, major depressive disorders (MDD) accounted for 7.8 million DALYs (95% UI: 5.3-10.5 million). India generated the largest numbers of DALYs due to depressive disorders and MDD, followed by Bangladesh and Pakistan. DALYs due to depressive disorders were highest in females and older adults (75-79 years) across all countries., Conclusion: Our findings show the substantial public health burden of depressive disorders in South Asian populations and healthcare systems. Given the scale of depressive disorders, improvement in overall population health is possible if South Asian countries prioritise the prevention and treatment of depressive disorders.