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The goal of this study was to determine the prevalence of depression and its risk factors in patients with late-onset rheumatoid arthritis (RA) treated in German primary care practices. Longitudinal data from general practices (n=1072) throughout Germany were analyzed. Individuals initially diagnosed with RA (2009-2013) were identified, and 7301 patients were included and matched (1:1) to 7301 controls. The primary outcome measure was the initial diagnosis of depression within 5 years after the index date in patients with and without RA. Cox proportional hazards models were used to adjust for confounders. The mean age was 72.2 years (SD: 7.6 years). A total of 34.9 % of patients were men. Depression diagnoses were present in 22.0 % of the RA group and 14.3 % of the control group after a 5-year follow-up period (p < 0.001). In the multivariate regression model, RA was a strong risk factor for the development of depression (HR: 1.55, p < 0.001). There was significant interaction of RA and diagnosed inflammatory polyarthropathies (IP) (RA*IP interaction: p < 0.001). Furthermore, dementia, cancer, osteoporosis, hypertension, and diabetes were associated with a higher risk of developing depression (p values < 0.001). The risk of depression is significantly higher in patients with late-onset RA than in patients without RA for subjects treated in primary care practices in Germany. RA patients should be screened routinely for depression in order to ensure improved treatment and management.
Longitudinal pathways of sexual victimization, sexual self-esteem, and depression in women and men
(2017)
Objective: This article presents a longitudinal analysis of the links between sexual assault victimization, depression, and sexual self-esteem by examining their cross-lagged paths among both men and women. Method: Male and female college students (N = 2,425) in Germany participated in the study that comprised 3 data waves in their first, second, and third year of university, separated by 12-month intervals. Sexual assault victimization was assessed at Time 1 (T1) since the age of 14 and at Time 2 (T2) and Time 3 (T3) for the last 12 months. Depression and sexual self-esteem were measured at each wave. Results: Random-intercept cross-lagged panel analyses, controlling for individual differences in depression and sexual self-esteem, showed that sexual assault at T1 predicted depression and lower sexual self-esteem at T2, and depression and lower self-esteem at T2 predicted sexual assault victimization at T3. In addition, significant paths were found from T1 depression to T2 sexual assault victimization and from T2 sexual assault victimization to depression at T3. Sexual victimization at T1 was indirectly linked to sexual victimization at T3 via depression at T2. Both depression and sexual self-esteem at T1 were indirectly linked to sexual victimization at T3. The paths did not differ significantly between men and women. Conclusion: Sexual assault victimization was shown to be a risk factor for both depression as a general mental health indicator and lowered sexual self-esteem as a specific outcome in the domain of sexuality. Moreover, depression and sexual self-esteem increased the vulnerability for sexual assault victimization, which has implications for prevention and intervention efforts. This document is copyrighted by the American Psychological Association or one of its allied publishers. This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
This two-wave longitudinal study identified configurations of social rejection, affiliation with aggressive peers, and academic failure and examined their predictivity for reactive and proactive aggression in a sample of 1,479 children and adolescents aged between 9 and 19 years. Latent profile analysis yielded three configurations of risk factors, made up of a non-risk group, a risk group scoring high on measures of social rejection (SR), and a risk group scoring high on measures of affiliation with aggressive peers and academic failure (APAF). Latent path analysis revealed that, as predicted, only membership in the SR group at T1 predicted reactive aggression at T2 17 months later. By contrast, only membership in the APAF group at T1 predicted proactive aggression at T2.