ArticleInternational journal of environmental research and public health2019
Socioeconomic Inequalities of Undiagnosed Diabetes in a Resource-Poor Setting: Insights from the Cross-Sectional Bangladesh Demographic and Health Survey 2011.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of undiagnosed type 2 diabetes in South Asia: A systematic review and meta-analysis.Endocrine · 2026Pooled it
- Machine learning based identification of key predictors and socioeconomic inequalities in the co-existence of diabetes and hypertension among Bangladeshi adults.Scientific reports · 2026Article
- Predictors of Undiagnosed Diabetes in the Bangladeshi Female Population: A Propensity Score-Weighted Machine Learning Analysis of BDHS Biomarker Data.Journal of diabetes research · 2026Article
- Sociodemographic and Lifestyle Factors Associated with Undiagnosed Diabetes in Indonesia: Findings from the Basic Health Research Work of Riskesdas 2018.Journal of the ASEAN Federation of Endocrine Societies · 2025Article
- Social and health service-related factors associated with undiagnosed diabetes mellitus- a population-based survey in a highly urbanized Chinese setting.BMC public health · 2025Article
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- Socioeconomic status influences the relationship between residential green space and the risk of osteoporosis among rural adults: a large-scale population-based study.Frontiers in public health · 2025Observational
- Assessment of sex disparities in prevalence of diagnosed and undiagnosed diabetes mellitus: results from the Bangladesh demographic and health survey data.BMC endocrine disorders · 2024Article
- Population-based cross-sectional survey of cervical cancer screening prevalence and socio-demographic correlates in Bangladeshi women.Research in health services & regions · 2024Article
- A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus.International journal of preventive medicine · 2024Article
- The relationship between self-assessment living standard and mental health among the older in rural China: the mediating role of sleep quality.BMC public health · 2023Article
- Article
- Diabetes, Hypertension, and Comorbidity among Bangladeshi Adults: Associated Factors and Socio-Economic Inequalities.Journal of cardiovascular development and disease · 2022Article
- Socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran: a Blinder-Oaxaca decomposition.Journal of diabetes and metabolic disorders · 2022Article
- Article
- Prevalence and correlates of undiagnosed, diagnosed, and total type 2 diabetes among adults in Morocco, 2017.Scientific reports · 2022Article
- Socio-economic inequalities in diabetes and prediabetes among Bangladeshi adults.Diabetology international · 2022Article
- Article
- Addressing the maldistribution of health resources in Sichuan Province, China: A county-level analysis.PloS one · 2021Article
- Predictors of health facility readiness for diabetes service delivery in low- and middle-income countries: The case of Bangladesh.Diabetes research and clinical practice · 2020Article
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Abstract
Diabetes mellitus is rising disproportionately but is not frequently diagnosed until complications appear, which results in adverse health consequences. We estimated the prevalence of undiagnosed diabetes among adult diabetic patients and associated socioeconomic inequalities in Bangladesh. We used nationally representative cross-sectional Bangladesh Demographic and Health Survey (BDHS) 2011 data. Among patients with diabetes, we identified undiagnosed cases as having fasting plasma glucose ≥ 7.0 mmol/L, never having taken prescribed medicine and being told by health professionals. Among 938 patients with diabetes, 53.4% remained undiagnosed. The poorest (75.9%) and rural (59.0%) patients had significantly higher undiagnosed cases than the richest (36.0%) and urban (42.5%), respectively. Multiple logistic regression analysis revealed that the likelihood of being undiagnosed was lower among patients with age ≥ 70 years vs. 35⁻39 years (adjusted odds ratio (AOR) = 0.35; 95% confidence interval (CI) 0.19, 0.64) and patients with higher education vs. no education (AOR = 0.36; 95% CI 0.21, 0.62). Conversely, a high level of physical activity and being in a poor socioeconomic quintile were associated with a higher risk of remaining undiagnosed for diabetes. The Concentration Index (C) also showed that undiagnosed diabetes was largely distributed among the socioeconomically worse-off group in Bangladesh (C = -0.35). Nationwide diabetes screening programs may reduce this problem in Bangladesh and other similar low-income settings.
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