کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5721989 | 1608104 | 2017 | 11 صفحه PDF | دانلود رایگان |
- The first meta-analysis looking at multimorbidity and risk for depression.
- Risk is doubled with multimorbidity compared to those without multimorbidity.
- Risk is trebled with multimorbidity compared to those with no physical condition.
- Understanding of this risk may enhance access to appropriate depression treatments.
BackgroundMultimorbidity, the presence of two or more chronic conditions, is increasingly common and complicates the assessment and management of depression. The aim was to investigate the relationship between multimorbidity and depression.MethodA systematic literature search was conducted using the databases; PsychINFO, Medline, Embase, CINAHL and Cochrane Central. Results were meta-analysed to determine risk for a depressive disorder or depressive symptoms in people with multimorbidity.ResultsForty articles were identified as eligible (n = 381527). The risk for depressive disorder was twice as great for people with multimorbidity compared to those without multimorbidity [RR: 2.13 (95% CI 1.62-2.80) p<0.001] and three times greater for people with multimorbidity compared to those without any chronic physical condition [RR: 2.97 (95% CI 2.06-4.27) p<0.001]. There was a 45% greater odds of having a depressive disorder with each additional chronic condition compared to the odds of having a depressive disorder with no chronic physical condition [OR: 1.45 (95% CI 1.28-1.64) p<0.001]. A significant but weak association was found between the number of chronic conditions and depressive symptoms [r = 0.26 (95% CI 0.18-0.33) p <0.001].LimitationsAlthough valid measures of depression were used in these studies, the majority assessed the presence or absence of multimorbidity by self-report measures.ConclusionsDepression is two to three times more likely in people with multimorbidity compared to people without multimorbidity or those who have no chronic physical condition. Greater knowledge of this risk supports identification and management of depression.
Journal: Journal of Affective Disorders - Volume 221, 15 October 2017, Pages 36-46