Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population

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 vali...

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Main Authors: Baby Sharma, Pramod Tripathi, Nidhi Kadam, Diptika Tiwari, Anagha Vyawahare, Thejas Kathrikolly, Malhar Ganla
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-83681-0
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author Baby Sharma
Pramod Tripathi
Nidhi Kadam
Diptika Tiwari
Anagha Vyawahare
Thejas Kathrikolly
Malhar Ganla
author_facet Baby Sharma
Pramod Tripathi
Nidhi Kadam
Diptika Tiwari
Anagha Vyawahare
Thejas Kathrikolly
Malhar Ganla
author_sort Baby Sharma
collection DOAJ
description 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.
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spelling doaj-art-9c782f28a0db4559a239a141c46aeb242025-01-05T12:25:31ZengNature PortfolioScientific Reports2045-23222024-12-011411910.1038/s41598-024-83681-0Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes populationBaby Sharma0Pramod Tripathi1Nidhi Kadam2Diptika Tiwari3Anagha Vyawahare4Thejas Kathrikolly5Malhar Ganla6Department of Research, Freedom From Diabetes Research FoundationDepartment of Research, Freedom From Diabetes Research FoundationDepartment of Research, Freedom From Diabetes Research FoundationDepartment of Research, Freedom From Diabetes Research FoundationDepartment of Research, Freedom From Diabetes Research FoundationDepartment of Research, Freedom From Diabetes Research FoundationFreedom From Diabetes ClinicAbstract 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.https://doi.org/10.1038/s41598-024-83681-0Validation studyType 2 diabetesReliabilityValidityDiabetes Distress Assessment SystemIndia
spellingShingle Baby Sharma
Pramod Tripathi
Nidhi Kadam
Diptika Tiwari
Anagha Vyawahare
Thejas Kathrikolly
Malhar Ganla
Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population
Scientific Reports
Validation study
Type 2 diabetes
Reliability
Validity
Diabetes Distress Assessment System
India
title Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population
title_full Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population
title_fullStr Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population
title_full_unstemmed Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population
title_short Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population
title_sort psychometric validation of type 2 diabetes distress assessment system in an indian type 2 diabetes population
topic Validation study
Type 2 diabetes
Reliability
Validity
Diabetes Distress Assessment System
India
url https://doi.org/10.1038/s41598-024-83681-0
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