Evidence map›Paper›PMID 28219325›Full record

ArticleBMC family practice2017

The validity and reliability of the English version of the diabetes distress scale for type 2 diabetes patients in Malaysia.

Ying Woei Chin, Pauline Siew Mei Lai, Yook Chin Chia

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Article in BMC family practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

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14citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ying Woei ChinDepartment of Primary Care Medicine, University of Malaya Primary Care Research Group, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Pauline Siew Mei LaiDepartment of Primary Care Medicine, University of Malaya Primary Care Research Group, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia. plai@ummc.edu.my.
Yook Chin ChiaDepartment of Primary Care Medicine, University of Malaya Primary Care Research Group, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral disease specific instruments have been developed to identify and assess diabetes distress. In Malaysia, the Problem Areas in Diabetes Scale has been validated in Malay, but it does not have specific domains to assess the different areas of diabetes-related distress. Hence, we decided to use the Diabetes Distress Scale instead. To date, only the Malay version of the Diabetes Distress Scale has been validated in Malaysia. However, English is widely spoken by Malaysians, and is an important second language in Malaysia. Therefore, our aim was to determine the validity and reliability of the English version of the Diabetes Distress Scale among patients with type 2 diabetes in Malaysia.

methodsThe Diabetes Distress Scale was administered to 114 patients with type 2 diabetes, who could understand English, at baseline and 4 weeks later, at a primary care clinic in Malaysia. To assess for convergent validity, the Depression Anxiety Stress Scale was administered at baseline. Discriminative validity was assessed by analysing the total diabetes distress scores of participants with poor (Hb

resultsThe majority of our participants were male 65(57.0%), with a median duration of diabetes of 9.5 years. Exploratory factor analysis showed that the Diabetes Distress Scale had 4 subscales, as per the original Diabetes Distress Scale. The overall Cronbach's α was 0.920 (range = 0.784-0.859 for each subscale). The intraclass correlation ranged from 0.436 to 0.643 for test-retest. The Diabetes Distress Scale subscales were significantly correlated with the different subscales of the Depression Anxiety Stress Scale (spearman's rho range = 0.427-0.509, p < 0.001). Patients with poor glycaemic control had significantly higher diabetes distress score (1.88) compared to those with good glycaemic control (1.50) (p < 0.001).

conclusionsThe English version of the Diabetes Distress Scale was found to be a valid and reliable instrument to evaluate diabetes distress among patients with type 2 diabetes in Malaysia. It can be used in clinical practice to offer a useful indicator of the effect of diabetes-induced distress during clinic visits, especially for patients with poor glycemic control. This would ensure that these patients are provided the care that is required.

Indexed as

AgedAnxietyDepressionDiabetes Mellitus, Type 2Factor Analysis, StatisticalFemaleHumansMalaysiaMaleMiddle AgedReproducibility of ResultsStress, PsychologicalTranslationsDDS-17Diabetes Distress ScaleEnglishMalaysiaReliabilityType 2 diabetesValidity

Identifiers

PMID28219325
PMCPMC5319150

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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.