混淆
萧条(经济学)
老年学
逻辑回归
重性抑郁障碍
晚年抑郁症
队列
队列研究
医学
精神科
内科学
认知
经济
宏观经济学
作者
Marcus Kiiti Borges,Ivan Aprahamian,Carla Vasconcellos Romanini,Fabiana Maria Rodrigues Lopes de Oliveira,Silvana Vieira Bandeira Mingardi,Natália Almeida Lima,Juliana Francisca Cecato,Marina Petrella,Richard C. Oude Voshaar
标识
DOI:10.1080/13607863.2020.1857689
摘要
Objectives Accumulating evidence shows depression as a risk factor for frailty, but studies are mainly population-based and widely differ in their assessment of either depression or frailty. We investigated the association between depression and frailty among geriatric outpatients using different assessment instruments for both conditions.Method Among 315 geriatric outpatients (mean age 72.1 years, 68.3% female sex) participating the MiMiCS-FRAIL cohort study, major and subthreshold depression were measured with psychiatric diagnostic interview according to DSM-5 criteria (SCID-5) as well as with instruments to screen and measure severity of depressive symptoms (GDS-15 and PHQ-9). Frailty was assessed according to a screening instrument (FRAIL-BR) and a multidimensional Frailty Index (FI-36 items). Multiple logistic and linear regression were performed to assess the association between depression (independent variable) and frailty (dependent variable) adjusted for confounders.Results Frailty prevalence in patients with no, subthreshold or major depressive disorder increases from either 14.5%, 46.5% to 65.1% when using the FRAIL-BR questionnaire, and from 10.2%, 20.9%, to 30.2% when using the FI-36 index. These association remain nearly the same when adjusted for covariates. Both the FRAIL-BR and the FI-36 were strongly associated with major depressive disorder, subthreshold depression, and depressive symptoms by PHQ-9 and GDS-15.Conclusion Late life depression and frailty are associated in a dose-dependent manner, irrespective of the used definitions. Nonetheless, to avoid residual confounding, future research on underlying biological mechanisms should preferably be based on formal psychiatric diagnoses and objectively assessment frailty status.
科研通智能强力驱动
Strongly Powered by AbleSci AI