Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755848/ https://www.ncbi.nlm.nih.gov/pubmed/35022493 http://dx.doi.org/10.1038/s41598-021-04671-0 |
_version_ | 1784632459986468864 |
---|---|
author | Akter, Jesmin Islam, Rakibul M. Chowdhury, Hasina Akhter Selim, Shahjada Biswas, Animesh Mozumder, Tanvir Ahmed Broder, Jonathan Ilic, Dragan Karim, Md Nazmul |
author_facet | Akter, Jesmin Islam, Rakibul M. Chowdhury, Hasina Akhter Selim, Shahjada Biswas, Animesh Mozumder, Tanvir Ahmed Broder, Jonathan Ilic, Dragan Karim, Md Nazmul |
author_sort | Akter, Jesmin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8755848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87558482022-01-14 Psychometric validation of diabetes distress scale in Bangladeshi population Akter, Jesmin Islam, Rakibul M. Chowdhury, Hasina Akhter Selim, Shahjada Biswas, Animesh Mozumder, Tanvir Ahmed Broder, Jonathan Ilic, Dragan Karim, Md Nazmul Sci Rep Article 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. Nature Publishing Group UK 2022-01-12 /pmc/articles/PMC8755848/ /pubmed/35022493 http://dx.doi.org/10.1038/s41598-021-04671-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Akter, Jesmin Islam, Rakibul M. Chowdhury, Hasina Akhter Selim, Shahjada Biswas, Animesh Mozumder, Tanvir Ahmed Broder, Jonathan Ilic, Dragan Karim, Md Nazmul Psychometric validation of diabetes distress scale in Bangladeshi population |
title | Psychometric validation of diabetes distress scale in Bangladeshi population |
title_full | Psychometric validation of diabetes distress scale in Bangladeshi population |
title_fullStr | Psychometric validation of diabetes distress scale in Bangladeshi population |
title_full_unstemmed | Psychometric validation of diabetes distress scale in Bangladeshi population |
title_short | Psychometric validation of diabetes distress scale in Bangladeshi population |
title_sort | psychometric validation of diabetes distress scale in bangladeshi population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755848/ https://www.ncbi.nlm.nih.gov/pubmed/35022493 http://dx.doi.org/10.1038/s41598-021-04671-0 |
work_keys_str_mv | AT akterjesmin psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT islamrakibulm psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT chowdhuryhasinaakhter psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT selimshahjada psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT biswasanimesh psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT mozumdertanvirahmed psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT broderjonathan psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT ilicdragan psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation AT karimmdnazmul psychometricvalidationofdiabetesdistressscaleinbangladeshipopulation |