ArticleJournal of human hypertension2023
Association of socio-demographic characteristics with hypertension awareness, treatment, and control in Bangladesh.
Article in Journal of human hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Socio-economic inequalities in hypertension prevalence and care cascade in Bangladesh: Insights from a nationally representative survey.PLOS global public health · 2026Article
- Hypertension Control in Bangladesh: Changes, Sociodemographic Variation, and Socioeconomic Inequality from the 2017-18 to 2022 Bangladesh Demographic and Health Surveys.Global heart · 2026Article
- Cascade of care for type 2 diabetes mellitus and hypertension in rural Bangladesh: sub-regional mapping of gaps in care.BMJ public health · 2026Article
- Area-level socioeconomic inequalities in hypertension care cascade in China: a nationwide population-based study based on the ChinaHEART project.The Lancet regional health. Western Pacific · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypertension has been rapidly growing in Bangladesh. However, there has been limited analysis of differences in the hypertension cascade across socio-demographic groups. This study was a secondary analysis of the 2017-18 Bangladesh Demographic and Health Survey. Four dichotomous outcome variables - hypertension prevalence, awareness among those with hypertension, treatment among those aware, and control among those treated - were analyzed. The variation of each outcome was assessed across socio-demographic factors. The association between socio-demographic characteristics and outcomes was analyzed using logistic regression. Less than half of the hypertensive individuals were aware of their hypertension (42.5%), and awareness was higher among those who were older, female, of higher household wealth, and living in urban areas. Among those aware, most were receiving treatment (87.4%), and this proportion was higher in older individuals (89.2% among 65 + , 70.4% among 18-24; p < 0.001). One-third of those treated (33.8%) had their blood pressure controlled, and this was higher among younger and more educated individuals. In multivariable models stratified by rural/urban community, most of the aforementioned trends remained with additional differences between communities. Notably, the association of higher education level with treatment odds differed in rural and urban communities (OR 0.34 [95%CI 0.16, 0.75] in rural; OR 2.83 [95%CI 1.04, 7.73] in urban). Efforts to improve hypertension awareness among individuals who are younger, male, of lower household wealth, and in rural areas are required to address disparities in care. Socio-demographic variations in hypertension awareness, treatment, and control must be considered to design targeted interventions for each step of the cascade.
Indexed as
Identifiers
36882527What 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.