ArticleBMJ open2026
Sex-specific differences in obesity among adults in Bangladesh: a nationally representative cross-sectional study.
Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Factors associated with obesity among female workers in small and cottage industries in Bangladesh: a cross-sectional study.BMC public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBangladesh is facing a growing obesity epidemic; however, evidence on sex-specific patterns and socioeconomic determinants is limited.
objectiveWe aimed to investigate sex differences in obesity prevalence and to assess how socioeconomic and demographic factors influence obesity risk among adult men and women.
methodsWe analysed data from the Bangladesh Demographic and Health Survey 2022. Prevalence of obesity (body mass index ≥25.0 kg/m²) among men and women was estimated by sociodemographic characteristics. Two multinomial logistic regression models were fitted: first, to quantify sex-specific odds of obesity with socio-demographic variables as interaction terms for effect modification; and second, adjusted sex-stratified models to assess determinants of obesity separately in men and women.
resultsOverall, 30% of our participants had obesity, with women more affected than men (36% vs 20%; adjusted OR (aOR) 2.75, 95% CI 2.53 to 3.00). Interaction analyses showed attenuation of the female-male difference among those with higher education (interaction aOR 0.57, 95% CI 0.43 to 0.74), richest quintile (interaction aOR 0.63, 95% CI 0.47 to 0.83) and urban residence (interaction aOR 0.81, 95% CI 0.68 to 0.96). Obesity was positively associated with age, education, wealth and urban residence, with stronger effects in men, except for higher education (interaction aOR 0.65, 95% CI 0.47 to 0.89), richest quintile (interaction aOR 0.72, 95% CI 0.54 to 0.98) and urban residence (interaction aOR 0.84, 95% CI 0.70 to 0.98).
conclusionsObesity disproportionately affected women, although association with socio-demographic factors was stronger in men. Targeted sex-specific interventions that address socioeconomic and contextual determinants are needed to mitigate obesity burden in Bangladesh.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.