000			01875nam a2200229Ia 4500
008			241008s9999||||xx |||||||||||||| ||und||
022			_a0032-4728
100			_aDas, Sumonkanti _9122589
245		0	_aTrends in chronic childhood undernutrition in Bangladesh for small domains
260			_bPopulation Studies
260			_c2024
300			_a43-61
520			_aChronic childhood undernutrition, known as stunting, is an important population health problem with short- and long-term adverse outcomes. Bangladesh has made strides to reduce chronic childhood undernutrition, yet progress is falling short of the 2030 Sustainable Development Goals targets. This study estimates trends in age-specific chronic childhood undernutrition in Bangladesh's 64 districts during 1997-2018, using underlying direct estimates extracted from seven Demographic and Health Surveys in the development of small area time-series models. These models combine cross-sectional, temporal, and spatial data to predict in all districts in both survey and non-survey years. Nationally, there has been a steep decline in stunting from about three in five to one in three children. However, our results highlight significant inequalities in chronic undernutrition, with several districts experiencing less pronounced declines. These differences are more nuanced at the district-by-age level, with only districts in more socio-economically advantaged areas of Bangladesh consistently reporting declines in stunting across all age groups.
650			_a Joinpoint Analysis _9122590
650			_a Multilevel Time-Series Model _9122591
650			_a Small Area Estimation _9122592
650			_a Stunting _9122593
650			_aBayesian Approach _9122594
700			_a Baffour, Bernard _9122595
700			_a Richardson, Alice _9122596
856			_uhttps://doi.org/10.1080/00324728.2023.2239772
999			_c134307 _d134307