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Factors associated with anxiety and depression among type 2 diabetes outpatients in Malaysia: a descriptive cross-sectional single-centre study
OBJECTIVE: To determine the prevalence and factors associated with anxiety and depression among type 2 diabetes outpatients in Malaysia. DESIGN: Descriptive, cross-sectional single-centre study with universal sampling of all patients with type 2 diabetes. SETTING: Endocrinology clinic of medical out...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4010817/ https://www.ncbi.nlm.nih.gov/pubmed/24760351 http://dx.doi.org/10.1136/bmjopen-2014-004794 |
Sumario: | OBJECTIVE: To determine the prevalence and factors associated with anxiety and depression among type 2 diabetes outpatients in Malaysia. DESIGN: Descriptive, cross-sectional single-centre study with universal sampling of all patients with type 2 diabetes. SETTING: Endocrinology clinic of medical outpatient department in a Malaysian public hospital. PARTICIPANTS: All 169 patients with type 2 diabetes (men, n=99; women, n=70) aged between 18 and 90 years who acquired follow-up treatment from the endocrinology clinic in the month of September 2013. MAIN OUTCOME MEASURES: The validated Hospital Anxiety and Depression Scale (HADS), sociodemographic characteristics and clinical health information from patient records. RESULTS: Of the total 169 patients surveyed, anxiety and depression were found in 53 (31.4%) and 68 (40.3%), respectively. In multivariate analysis, age, ethnicity and ischaemic heart disease were significantly associated with anxiety, while age, ethnicity and monthly household income were significantly associated with depression. CONCLUSIONS: Sociodemographics and clinical health factors were important correlates of anxiety and depression among patients with diabetes. Integrated psychological and medical care to boost self-determination and confidence in the management of diabetes would catalyse optimal health outcomes among patients with diabetes. |
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