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Purpose Mental distress has become a major public health concern. Temporal trends in psychological distress are complex and depend on numerous factors. In this study, we examined age-period-cohort effects for mental distress including gender and German region over a 15 years’ time span. Methods Data on mental distress from ten cross-sectional surveys of the general German population, covering the years from 2006 to 2021, was used. Hierarchical age-period-cohort analyses including gender and German region as predictors were performed to disentangle age, period, and cohort effects. The Patient Health Questionnaire-4 was used as a brief screener for mental distress. Results We found significant period and cohort effects, with peek values for mental distress in the years 2017 and 2020 and for the oldest birth cohort (born before 1946). Age did not affect mental distress when cohort- and period effects as well as gender and German region were considered. An interaction effect for gender and the German region was found. Women in West Germany reported significantly higher mental distress compared to women in East Germany. Compared to men, women reported the highest prevalence in both regions. Conclusion Important political events as well as major crises can lead to an increase of mental distress in societies. Furthermore, an association between birth cohort and mental distress could be linked to socialization effects of that certain time, causing traumatic experiences or a specific coping style within this cohort group. Prevention and intervention strategies could benefit from acknowledging structural differences linked to period and cohort effects.

Background Depression, the most frequent and harmful mental disorder, has been associated with specific somatic diseases as the leading cause of death. The purposes of this prospective study were to predict incident chronic diseases based on baseline depressive symptoms and to test sex-dependent effects. Methods In a representative German community sample of over 12 000 participants, baseline depressive symptoms (assessed using the Patient Health Questionnaire-9) were tested as a predictor of new onset of cardiovascular disease (CVD), chronic obstructive lung disease, diabetes, cancer, and migraine at 5-year follow-up. To study disease incidence, we created subsamples for each chronic disease by excluding participants who already had the respective disease at baseline. Potential confounders were included in logistic regression models and sex-specific analyses were performed. Results Controlling for demographic characteristics and loneliness, in men and women, baseline depressive symptoms were predictive of CVD, chronic obstructive lung disease, diabetes, and migraine, but not of cancer. When we additionally adjusted for metabolic and lifestyle risk factors, there was an 8% increase of chronic obstructive lung disease and migraine per point of depressive symptoms. There was a trend for CVD (4%; p = 0.053). Sex-sensitive analyses revealed trends for the relevance of depressive symptoms for CVD in men (p = 0.065), and for diabetes in women (p = 0.077). Conclusions These findings underscore the need to implement screening for depression in the treatment of major somatic illnesses. At the same time, depressed patients should be screened for metabolic and lifestyle risk factors and for somatic diseases and offered lifestyle interventions.

Chronic exhaustion is a consequence of detrimental working conditions and demands, as well as inadequate coping techniques, potentially resulting in burnout. Previous research has studied occupational environment and individual factors as predictors of exhaustion. Although these differ between former East and West German states, the regional distinction regarding exhaustion has been neglected. To fill this gap, we used the Copenhagen Burnout Inventory in a representative German sample from 2014 to assess the burnout symptom exhaustion. Estimating ordinary least squares regressions, important burnout predictors were compared between the former East and West German states. Regional differences concerning occupational environments were related to the associations between individual factors, situational aspects of technostress and exhaustion. Associations between individual factors (e.g., female sex, lower working hours, age, partnership status, and household income) and exhaustion were stronger in East Germany, whereas technostress (strain of internet use, number of e-mails during leisure time, and social pressure to be constantly available) was more strongly associated with exhaustion in West Germany. Despite lower financial gratification and a higher social pressure to be constantly available in the East, West Germans were more afflicted by exhaustion. Individual factors and technostress should thus be considered when focusing on job-related mental health issues.

Suicidal ideation and behavior constitute important public mental health issues. In this study, we examined whether social integration prevents suicidal ideation over time and whether gender modifies this association.Data from the Gutenberg Health Study (population-based representative community sample in midwest Germany) and the Study of Health in Pomerania (population-based cohort study in northeast Germany) were used. Participants reporting low social support were compared to those receiving middle or high social support. Within a longitudinal study design, we calculated multiple logistic regression models including interaction terms and relevant covariates to test whether gender modified the association of social support and suicidal ideation.Suicidal ideation was present in 7.4% (N = 982) of the pooled cohorts' 13,290 participants. More women (8.6%, N = 565) than men (6.2%, N = 417) reported suicidal ideation. Middle or high social support was associated with a lower probability to report suicidal ideation five years later after controlling for sociodemographic factors, living situation, and cohort (OR = 0.42, 95%-CI = 0.34-0.52). Male gender was negatively related to suicidal ideation, but no statistically significant interaction of gender and social support was found (ratio of ORs = 1.00, 95%-CI = 0.73-1.35).The number of people reporting suicidal ideation in the SHIP study was small, especially for men. Suicidal ideation was measured using a single item.Social support is an important protective factor in preventing suicidal ideation for both women and men. Future research should further clarify gender-specific effects of family variables in suicidal ideation and test similar predictive models of suicidal behavior.

Objectives: Mental health differences between men and women can be attributed to sex or gender. Due to absence of brief assessments, contributions of gender expressions to the mental health gap between men and women have been understudied. The purpose of this study is to develop and validate a short screening measure of gender expression and test its associations with mental distress.Methods: German representative survey data from 2006 (N = 2,507) and 2018 (N = 2,516) were analysed. A short form of the Personality Attributes Questionnaire with 8 items (PAQ-8) was assessed to measure femininity and masculinity. Validity of the PAQ-8 was tested and associations between femininity, masculinity and mental health were examined.Results: PAQ-8 was a valid screening measure to assess gender expression. Compared to 2006, femininity increased in women and decreased in men in 2018. Higher levels of femininity and masculinity were associated with lower distress. Sex was no longer predictive for mental distress when femininity, masculinity, age and equivalised income were considered.Conclusion: Our findings support the use of gender measures, which may be more predictive of mental health than sex.