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Prevalence and factors associated with depression among type 2 diabetes patients in a Reference Hospital in Cameroon
- Source :
- Neurology, Psychiatry and Brain Research. 37:123-128
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Background Depression is the most common psychiatric disorder in patients with diabetes. We aimed to investigate the prevalence and factors associated with depression in patients with type 2 diabetes and to assess the relationship between depression and attainment of treatment targets. Methods In this cross-sectional study, we included patients with type 2 diabetes who were receiving chronic care in the outpatient diabetes unit of the Douala General Hospital, Cameroon. Depression was assessed using the 9-Item-Patient Health Questionnaire (PHQ-9). Logistic regression models were used to identify independent associations. Results Of the 177 participants, 52 (29.4 %, 95 % CI: 22.8–36.7) had depression. In bivariate analysis factors associated with depression were; age > 48 years, physical inactivity, major life event, pill burden (≥5 medication types and ≥7 tablets/day), nephropathy and neuropathy. In multivariate analysis neuropathy (aOR: 3.25, 95 % CI: 1.47–7.19; p = 0.004) and major life event (aOR: 8.38, 95 % CI: 2.79–25.15; p 7 % (aOR: 2.50, 95 % CI: 1.23–5.00; p = 0.010). Conclusion Depression is common in this group of Cameroonians with type 2 diabetes and is strongly associated with major life event, neuropathy and poor glycaemic control. Our results portray the need to systematically screen and manage depression in patients with type 2 diabetes in this setting.
- Subjects :
- Chronic care
medicine.medical_specialty
Multivariate analysis
business.industry
General Neuroscience
Type 2 diabetes
Logistic regression
medicine.disease
030227 psychiatry
Nephropathy
03 medical and health sciences
Psychiatry and Mental health
0302 clinical medicine
Pill
Diabetes mellitus
Internal medicine
Medicine
Neurology (clinical)
business
030217 neurology & neurosurgery
Depression (differential diagnoses)
Subjects
Details
- ISSN :
- 09419500
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Neurology, Psychiatry and Brain Research
- Accession number :
- edsair.doi...........d27effc34a413a8bb12db7bc0cef87f8