Background Depression is associated with an increased risk of dementia. However, short follow-up times and lack of adjustment for familial factors in previous studies could influence this association. The purpose of the present study was to investigate the association between depression and subsequent dementia, while controlling for familial factors and with a followup of over 35 years. Methods and findings Two cohorts were formed from all individuals aged 50 years or older living in Sweden as of 31 December 2005 (n = 3,341,010). The Swedish National Patient Register was searched from 1964 through 2016 to identify diagnosis of depression and dementia. In the first cohort, individuals diagnosed with depression (n = 119,386) were matched 1:1 with controls without depression diagnosis. The second cohort was a sibling cohort (n = 50,644) consisting of same-sex full sibling pairs with discordant depression status. In the population matched cohort study, a total of 9,802 individuals were diagnosed with dementia during a mean follow-up time of 10.41 (range 0-35) years (5.5% of those diagnosed with depression and 2.6% of those without depression diagnosis (adjusted odds ratio [aOR] 2.47, 95% CI 2.35-2.58; p < 0.001), with a stronger association for vascular dementia (aOR 2.68, 95% CI 2.44-2.95; p < 0.001) than for Alzheimer disease (aOR 1.79, 95% CI 1.68-1.92; p < 0.001). The association with dementia diagnosis was strongest in the first 6 months after depression diagnosis (aOR 15.20, 95% CI 11.85-19.50; p < 0.001), then decreased rapidly but persisted over follow-up of more than 20 years (aOR 1.58, 95% CI 1.27-1.98; p < 0.001). Also in the sibling cohort, the association was strongest in the first 6 months (aOR 20.85, 95% CI 9.63-45.12; p < 0.001), then decreased rapidly but persisted over follow-up of more than 20 years (aOR 2.33, 95% CI 1.32-4.11; p < 0.001). The adjusted models included sex, age at baseline, citizenship, civil status, household income, and diagnoses at baseline. The main

Background The identification of potential high‐risk groups for depression is of importance. The purpose of the present study was to identify high‐risk profiles for depressive symptoms in older individuals, with a focus on functional performance. Methods The population‐based Healthy Ageing Initiative included 2,084 community‐dwelling individuals (49% women) aged 70. Explorative cluster analysis was used to group participants according to functional performance level, using measures of basic mobility skills, gait variability, and grip strength. Intercluster differences in depressive symptoms (measured by the Geriatric Depression Scale [GDS]‐15), physical activity (PA; measured objectively with the ActiGraph GT3X+), and a rich set of covariates were examined. Results The cluster analysis yielded a seven‐cluster solution. One potential high‐risk cluster was identified, with overrepresentation of individuals with GDS scores >5 (15.1 vs. 2.7% expected; relative risk = 6.99, P < .001); the prevalence of depressive symptoms was significantly lower in the other clusters (all P < .01). The potential high‐risk cluster had significant overrepresentations of obese individuals (39.7 vs. 17.4% expected) and those with type 2 diabetes (24.7 vs. 8.5% expected), and underrepresentation of individuals who fulfilled the World Health Organization's PA recommendations (15.6 vs. 59.1% expected; all P < .01), as well as low levels of functional performance. Conclusions The present study provided a potential high‐risk profile for depressive symptoms among elderly community‐dwelling individuals, which included low levels functional performance combined with low levels of PA. Including PA in medical screening of the elderly may aid in identification of potential high‐risk individuals for depressive symptoms.

The transition from university to working life appears a critical period impacting human service workers’ long-term health. More research is needed on how psychological factors affect the risk. We aimed to investigate how subgroups, based on self-efficacy, psychological flexibility, and basic psychological needs satisfaction ratings, differed on self-rated health, wellbeing, and intention to leave. A postal survey was sent to 1,077 recently graduated psychologists in Sweden (≤3 years from graduation), response rate 57.5%, and final sample 532 (75% women and 23% men). A hierarchical cluster analysis resulted in a satisfactory eight-cluster solution. We identified two at-risk subgroups, displaying the lowest scores on health and wellbeing, and one potential low-risk subgroup with the highest ratings on said variables. The “Low risk?” group rated high on all three psychological constructs, a positive transition to working life, a work environment where resources balanced relatively high emotional demands, good health, and wellbeing. Almost the complete opposite ratings characterized the potential risk groups. “Quitting?” scored significantly higher than “Getting sick?” on self-efficacy and psychological flexibility as well as actively seeking new employment and reporting daily thoughts on leaving the profession. We suggest that a combination of low self-efficacy and psychological flexibility could increase the risk of individuals staying despite suboptimal working conditions. With combined higher self-efficacy and psychological flexibility, individuals in similar circumstances appear more inclined to quit. We conclude that the ways recently graduated psychologists rate their self-efficacy, psychological flexibility, and basic needs satisfaction appear to be reflected in their self-rated health and wellbeing.

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