Association of depression phenotypes and antidepressant treatment with mortality due to cancer and other causes: a community-based cohort study.

Objective: This study aimed to assess the association of somatic depressive symptoms (SDS), cognitive/emotional depressive symptoms (C-EDS), and antidepressant treatment on mortality due to cancer and other causes in a community cohort. Methods: A community-based sample recruited in 1995, 2000, and 2005 aged between 35 and 75 years was examined in two waves and followed for a median of 6.7 years. SDS and C-EDS phenotypes were assessed using the Patient Health Questionnaire-9. Medication used by participants was collected. Deaths and their causes were registered during follow-up. Cox proportional hazard models stratified by sex were performed to determine the association between depressive phenotypes and mortality. Results: The cohort consisted of 5,646 individuals (53.9% women) with a mean age of 64 years (SD = 11.89). During the follow-up, 392 deaths were recorded, of which 27.8% were due to cancer. C-EDS phenotype was associated with an increased risk of cancer mortality in both men (HR = 2.23; 95% CI = 1.11-4.44) and women (HR = 3.69; 95% CI = 1.69-8.09), and SDS was significantly associated with non-cancer mortality in men (HR = 2.16; 95 CI % = 1.46-3.18). Selective serotonin reuptake inhibitors (SSRIs) were significantly associated with both cancer (HR = 2.78; 95% CI = 1.10-6.98) and non-cancer mortality (HR = 2.94; 95% CI = 1.76-4.90) only in the male population. Conclusion: C-EDS phenotype was related to an increased risk of cancer mortality at 6 years. In addition, the use of SSRIs in the male population was associated with cancer and all-cause mortality.

Changes in lifestyle resulting from confinement due to COVID-19 and depressive symptomatology: A cross-sectional a population-based study.

BACKGROUND: The measures adopted to control the spread of the COVID-19 pandemic in several countries included mobility and social restrictions that produced an immediate impact on the lifestyle of their inhabitants. METHODS: We assessed the association between the consequences of these measures and depressive symptomatology using a population-based sample of 692 individuals aged 18 or over from an ongoing study in the province of Girona (Catalonia, Spain). Participants responded to a telephone-based survey that included questions related to the consequences of confinement and the Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptomatology. Multivariate logistic and linear regressions were used to identify which changes in lifestyle resulting from confinement were independently associated with a possible depression episode and depressive symptomatology. RESULTS: The prevalence of a possible depressive episode during the confinement was 12.7% (95% CI = 10.3-15.4). An adverse work situation, expected economic distress, self-reported worsening of the mental health and of the dietary pattern, and worries about a relative's potential infection were variables related to an increased risk of having a possible depressive episode. The changes in lifestyle accounted for 32% of the variance of the PHQ-9 score. CONCLUSION: The findings indicate an association of the job situation, the expected negative economic consequences, the perceived worsening of health and habits, and the worries about COVID-19 infection with depressive symptomatology during the confinement.