ArticleBMJ open2023
Unveiling the effects of living standards on diabetes and hypertension with the mediating role of overweight and obesity: a cross-sectional study in Bangladesh.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Comparative Analysis of Hypertension Stages Prevalence and Associated Factors in Bangladesh: Evidence From BDHS 2017-18 and 2022.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Prevalence of Diabetes Mellitus and Hypertension Among COVID-19 Patients: A Cross-Sectional Study Exploring Associations With Sociodemographic and Biological Factors in Rajshahi Division, Bangladesh.Health science reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of the study was to ascertain how the standard of living is associated with the likelihood of developing diabetes and hypertension directly as well as indirectly through overweight and obesity. STUDY
designThe study used 2017-2018 Bangladesh Demographic and Health Survey data. It examined the household living standard (LSD) as the main factor, and body mass index (BMI) as a mediator. Outcomes included diabetes status, hypertension status and their co-occurrence. Structural equation modelling with logistic regression and bootstrapping were used for mediation analysis and computing bias-corrected SEs.
settingThe research was carried out in Bangladesh and included both male and female adults.
participantsThe study encompassed a total of 11 961 adults (5124 males and 6837 females) aged 18 years or older.
resultsAmong the participants, 10.3% had diabetes, 28.6% had hypertension and 4.9% had both conditions. The prevalence of diabetes, hypertension or both conditions was 18.5%, 33.5% and 9.7%, respectively, among those with a high LSD. Regression analysis demonstrated that individuals with high LSD had significantly elevated risks of these conditions compared with those with low LSD: 133% higher odds for diabetes (OR 2.22; 95% CI 1.97 to 2.76), 25% higher odds for hypertension (OR 1.25; 95% CI 1.10 to 1.42) and 148% higher odds for both conditions (OR 2.48; 95% CI 1.96 to 3.14). Moreover, the indirect effects of high LSD through obesity surpassed its direct effects for developing diabetes, hypertension or both conditions.
conclusionThis study emphasises that with the enhancement of LSD, individuals often experience weight gain, resulting in elevated BMI levels. This cascade effect significantly amplifies the risks of diabetes, hypertension or both conditions. To counteract this concerning trajectory, policy interventions and targeted awareness campaigns are imperative. These efforts must prioritise the promotion of heightened physical activity and the mitigation of the overweight/obesity surge associated with rising LSD.
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.