ArticleScientific reports2024
Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population.
Article in Scientific reports, 2024. 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.
- Article
- Prevalence of diabetes distress among people with type 2 diabetes in South Asia: A systematic review and meta-analysis.World journal of diabetes · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes distress (DD) significantly burdens and negatively impacts self-management and health outcomes in patients with type 2 diabetes (T2D). Early detection and management of DD are crucial for effective T2D management. The Diabetes Distress Assessment System (T2-DDAS) is a recently validated tool for measuring DD, but its psychometric properties in non-Western populations, such as India, have not been evaluated. This study aimed to assess the validity and reliability of T2-DDAS in Indian patients with T2D. Data from 408 T2D patients enrolled in a one-year diabetes management program at the Freedom from Diabetes Clinic in Pune, India, from January to March 2024, were analyzed. Sociodemographic characteristics, medical history, and anthropometric parameters were extracted from existing records. T2-DDAS, previously validated in a Western population, was administered. Statistical analyses included descriptive statistics, Principal Component Analysis (PCA), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM), using IBM SPSS, R, and AMOS software. The T2-DDAS demonstrated good internal consistency (Cronbach's α = 0.91). CFA yielded satisfactory fit indices (χ² = 1036.92, RMSEA = 0.07, TLI = 0.905, CFI = 0.918), supporting the construct validity of T2-DDAS for the Indian population. The T2-DDAS is a valid and reliable tool for assessing DD in Indian patients with T2D.
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.