Psychometric validation of diabetes distress scale in Bangladeshi population

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 dev...

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Bibliographic Details
Published in:Scientific reports 2022-01, Vol.12 (1), p.562-562, Article 562
Main Authors: Akter, Jesmin, Islam, Rakibul M., Chowdhury, Hasina Akhter, Selim, Shahjada, Biswas, Animesh, Mozumder, Tanvir Ahmed, Broder, Jonathan, Ilic, Dragan, Karim, Md Nazmul
Format: Article
Language:English
Subjects:
692/163
692/699
692/700
Adult
Bangladesh
Correlation coefficient
Diabetes
Diabetes mellitus
Diabetes Mellitus, Type 2 - psychology
Emotional behavior
Factor analysis
Female
Humanities and Social Sciences
Humans
Insulin
Male
Middle Aged
multidisciplinary
Patients
Psychological Distress
Psychometrics - statistics & numerical data
Quality of life
Quantitative psychology
Science
Science (multidisciplinary)
Statistical analysis
Validation studies
Validity
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Summary: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 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-04671-0