Experience-based food insecurity in Bangladesh: evidence from Household Income and Expenditure Survey 2022

Heliyon, Journal Year: 2025, Volume and Issue: 11(1), P. e41581 - e41581

Published: Jan. 1, 2025

This paper examines the current state of food insecurity in Bangladesh and its socio-economic drivers using data from latest Household Income Expenditure Survey (HIES 2022). Unlike previous studies that relied on less precise measures insecurity, such as expenditure, diversity, calorie intake, this study employs internationally recognized Food Insecurity Experience Scale (FIES) Rasch model-based thresholds to classify households secure or insecure. Multilevel logistic regression is used identify significant predictors moderate severe considering hierarchical structure data, with nested within geographical clusters. Key factors found be significantly associated security include wealth index, land ownership, education household head, family size, remittance income exposure shocks. A classification tree, a popular machine learning method, also applied explore important interactions among these determinants. The tree analysis confirms importance several regression-based identifies at highest risk through variable interactions. Factors poverty, lack low levels, high dependency ratios collectively increase household's vulnerability around 51% while national prevalence 19%. District-level maps reveal regional disparities, underscoring need for targeted, district-specific interventions effectively combat insecurity. More broadly, policies promoting planning, training better shock management, facilitating flows simplified processes may contribute addressing challenge.

Language: Английский

The Risk of Pediatric Overweight and Children’s Objectively Measured Sedentary Behaviors and Physical Activity by Area of Residence

Healthcare, Journal Year: 2025, Volume and Issue: 13(5), P. 462 - 462

Published: Feb. 21, 2025

Background/Objectives: Research considering objectively measured moderate-to-vigorous physical activity (MVPA) and sedentary behaviors (SB) health outcomes among urban children has produced equivocal findings. Therefore, this study was designed (i) to compare MVPA SB of non-urban (ii) analyze associations between the risk overweight by their degree urbanization. Methods: The sample comprised 389 (195 girls) aged 6 10 years. Measurements for height weight were taken, followed calculation body mass index (BMI). A motion sensor employed gather data on 7 days. Urban regions characterized as areas with a population density exceeding 500 inhabitants per square kilometer or having total greater than 50,000. ANOVAs, partial correlations, logistic regression analysis used, controlling potential confounders. Results: After wearing time sex, significantly less active (lower MVPA) peers [i.e., urban: 48 min/day vs. 51 (non-urban)]. On other hand, spent more counterparts weekend during all assessed associated being at both children. Inspection final model indicated that who engaged in behavior extended periods higher categorized overweight. Conclusions: Findings revealed association weekdays just significant location where child lives influences status, therefore, community-based programs [at schools (PE recess) after-school (organized sports)] should be developed encourage lifestyles tailored environments.

Language: Английский