ArticleScientific reports2022
Psychometric validation of diabetes distress scale in Bangladeshi population.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Diabetes distress among immigrants of south Asian descent living in New York City: baseline results from the DREAM randomized control trial.BMC public health · 2025Trial
- Breaking the cycle: patient activation role in improving diabetes self-care adherence for alleviating diabetes distress.The Libyan journal of medicine · 2026Article
- Article
- Diabetes-Related Distress in Spanish Adults: Clinical, Sociodemographic and Psychosocial Correlates.Diabetes/metabolism research and reviews · 2026Article
- Factors influencing students' intentions to continue learning in AI-assisted painting courses.Scientific reports · 2026Article
- Diabetes Distress and its Associated factors among Patients Attending a Tertiary Care Center in Eastern India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Macrovascular complications in type 2 diabetes: a multiregional study in rural Bangladesh.Frontiers in endocrinology · 2026Article
- Psychometric Validation of the Chinese Version of the Diabetes Health Literacy Scale Among Adults with Type 2 Diabetes Mellitus: Application of Factor Analysis and Item Response Theory.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Prevalence of diabetes distress among people with type 2 diabetes in South Asia: A systematic review and meta-analysis.World journal of diabetes · 2025Article
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- Article
- Article
- Can the management of depression in type 2 diabetes be democratized?World journal of diabetes · 2022Review
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9 authors.
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Abstract
Diabetes Distress (DD)-an emotional or affective state arise from challenge of living with diabetes and the burden of self-care-negatively impact diabetes management and quality of life of T2DM patients. Early detection and management of DD is key to efficient T2DM management. The study aimed at developing a valid and reliable instrument for Bangladeshi patients as unavailability such a tool posing challenge in diabetes care. Linguistically adapted, widely used, 17-item Diabetes Distress Scale (DDS), developed through forward-backward translation from English to Bengali, was administered on 1184 T2DM patients, from four diabetes hospitals in Bangladesh. Psychometric assessment of the instrument included, construct validity using principal component factor analysis, internal consistency using Cronbach's α and discriminative validity through independent t-test and test-retest reliability using intraclass-correlation coefficient (ICC) and Kappa statistics. Factor analysis extracted 4 components similar to original DDS domains, confirms the construct validity. The scale demonstrated satisfactory internal consistency (α = 0.838), stability (test-retest ICC = 0.941) and good agreement across repeated measurements (Kappa = 0.584). Discriminative validity revealed that patients with complication (p < 0.001) and those are on insulin (p < 0.001) had significantly higher distress scores in all domains. Bengali version of DDS is a valid and reliable tool for assessing distress among Bangladeshi T2DM patients.
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