ArticleCureus2025
Assessment of Prevalence and Risk Factors of Diabetes Distress Among Patients With Type 2 Diabetes Mellitus in an Urban Area of Chengalpattu District, India: A Cross-Sectional Study.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Background and aim Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder associated with significant physical and psychological complications, including diabetes distress, which is the emotional burden of living with and managing diabetes, adversely affecting glycemic control. It includes emotional, regimen-related, interpersonal, and physician-related distress. The global prevalence varies widely, while Indian data remain limited and inconsistent. Factors such as fear of complications, treatment fatigue, inadequate support, and poor doctor-patient communication contribute to this condition, which often goes unrecognized. This study aims to estimate the prevalence of diabetes distress and determine its risk factors among T2DM patients residing in an urban area of the Chengalpattu district. Methodology A cross-sectional study was conducted among T2DM patients in Anakaputhur, an urban area of the Chengalpattu district, Tamil Nadu, India. A total of 297 people participated in the study. A pretested, structured questionnaire was used to collect socio-demographic details, diabetes history, complication history, economic history, and activities of self-care. The validated Type 2 Diabetes Distress Assessment System (T2DDAS) was used to screen for diabetes distress. Data analysis was performed using IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, NY, USA). Results The prevalence of diabetes distress among T2DM patients was 35.6%. Being on treatment with both oral hypoglycemic agents (OHA) and insulin, having a diabetic foot ulcer, and not having adequate physical activity were found to be significantly associated with diabetes distress. The history of diabetic retinopathy and cardiac comorbidities was also found to be significantly associated with diabetes distress. Conclusion It was found that 35.6% of patients with T2DM suffered from diabetes distress, indicating a significant, but mostly unrecognized, health problem. These findings suggest that the interrelated consequences of clinical, psychological, and social issues in diabetes management warrant routine screening as part of diabetes care services. Distress management should be incorporated into the National Program for Non-communicable Diseases (NP-NCD) to enable early identification and support, helping to improve treatment adherence and quality of life by strengthening community healthcare.
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.