The Epidemiology of Depression and Diabetes Distress in Type 2 Diabetes in Kuwait.


Journal

Journal of diabetes research
ISSN: 2314-6753
Titre abrégé: J Diabetes Res
Pays: England
ID NLM: 101605237

Informations de publication

Date de publication:
2020
Historique:
received: 11 06 2019
revised: 29 04 2020
accepted: 14 05 2020
entrez: 23 6 2020
pubmed: 23 6 2020
medline: 7 4 2021
Statut: epublish

Résumé

This study is aimed at describing the prevalence of and risk factors for depression and diabetes distress in people with type 2 diabetes and whether depression and distress are independently associated with worse biomedical outcomes. The study was of cross-sectional design. The setting was the Dasman Diabetes Institute, Kuwait. The Patient Health Questionnaire-9 (PHQ-9) was used to measure the prevalence of depression, defined as a score ≥ 10 (depression caseness). The Problem Areas in Diabetes (PAID) was used to measure diabetes-related distress. Data on biomedical outcomes, lifestyle factors, and sociodemographic information were collected. The prevalence of depression and diabetes distress caseness was 29% and 14%, respectively. Depression caseness patients were more likely to be female (60%;

Identifiants

pubmed: 32566681
doi: 10.1155/2020/7414050
pmc: PMC7288194
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7414050

Informations de copyright

Copyright © 2020 Ebaa Al-Ozairi et al.

Déclaration de conflit d'intérêts

None of the authors have any conflicts of interest.

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Auteurs

Ebaa Al-Ozairi (E)

Dasman Diabetes Institute, Kuwait.
Faculty of Medicine, Kuwait University, Kuwait.

Abdulla Al Ozairi (A)

Department of Psychiatry, Faulty of Medicine, Kuwait University, Kuwait.

Clare Blythe (C)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Etab Taghadom (E)

Dasman Diabetes Institute, Kuwait.

Khalida Ismail (K)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

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Classifications MeSH