Pandemic Depression: COVID-19 and the Mental Health of the Self-Employed

Trajectories of depressive and anxiety symptoms and associated risk factors during the COVID-19 pandemic in Germany: A longitudinal cohort study

BACKGROUND

Most COVID-19-related mental health research focused on average levels of mental health parameters in the general population. However, considering heterogeneous groups and their long-term responses could deepen our understanding of mental health during community crises. This four-wave study aimed to (1) identify subgroups with different trajectories of depressive and anxiety symptoms in the German general population, and (2) investigate associated risk factors.

METHODS

We analyzed self-report data from N = 1257 German adults participating in a European cohort study, assessed in summer 2020 (T1), and at 6 (T2), 12 (T3), and 30 months (T4). Depressive and anxiety symptoms were measured using the PHQ-4. Sociodemographic, health-related, and pandemic-related variables were assessed at baseline. We applied growth mixture modeling to identify subgroups of symptom trajectories and conducted multinomial logistic regression to examine factors associated with class membership.

RESULTS

We identified six symptom trajectories: Low-stable (n = 971, 77.2 %), Continuous deterioration (n = 30, 2.4 %), Transient deterioration (n = 75, 6.0 %), Continuous improvement (n = 97, 7.7 %), Transient improvement (n = 38, 3.0 %) and Chronicity (n = 46, 3.7 %). Age, education, work status, mental health diagnoses, self-reported health, and pandemic-related news consumption were significantly associated with subgroup membership.

LIMITATIONS

The generalizability of the study is constrained by an unrepresentative sampling method, a notable dropout rate, and limited consideration of risk factors.

CONCLUSION

Most people experienced low symptoms or improvement during the pandemic, while others experienced chronic or transient symptoms. Specific risk factors were associated with these trajectories, revealing nuanced mental health dynamics.

Socioeconomic inequalities in pandemic-induced psychosocial stress in different life domains among the working-age population

BACKGROUND

Psychosocial stress is considered a risk factor for physical and mental ill-health. Evidence on socioeconomic inequalities with regard to the psychosocial consequences of the COVID-19 pandemic in Germany is still limited. We aimed to investigate how pandemic-induced psychosocial stress (PIPS) in different life domains differed between socioeconomic groups.

METHODS

Data came from the German Corona-Monitoring nationwide study - wave 2 (RKI-SOEP-2, November 2021-February 2022). PIPS was assessed using 4-point Likert scales with reference to the following life domains: family, partnership, own financial situation, psychological well-being, leisure activity, social life and work/school situation. Responses were dichotomised into "not stressed/slightly stressed/rather stressed" (0) versus "highly stressed" (1). The sample was restricted to the working-age population in Germany (age = 18-67 years, n = 8,402). Prevalence estimates of high PIPS were calculated by sex, age, education and income. Adjusted prevalence ratios (PRs) were estimated using Poisson regression to investigate the association between education/income and PIPS; high education and income were the reference groups.

RESULTS

The highest stress levels were reported in the domains social life and leisure activity. Women and younger participants reported high stress levels more frequently. The highest inequalities were found regarding people's own financial situation, and PIPS was higher in low vs. high income groups (PR 5.54, 95% CI 3.61-8.52). Inequalities were also found regarding partnerships with higher PIPS in low vs. high education groups (PR 1.68, 95% CI 1.13-2.49) - and psychological well-being with higher PIPS in low vs. high income groups (PR 1.52, 95% CI 1.14-2.04).

CONCLUSION

Socioeconomic inequalities in PIPS were found for different life domains. Generally, psychosocial support and preventive interventions to help people cope with stress in a pandemic context should be target-group-specific, addressing the particular needs and circumstances of certain socioeconomic groups.

Flourish, fight or flight: health in self-employment over time-associations with individual and business resources

PURPOSE

Using COR theory to study developments of health and other key resources in self-employed workers in Sweden over 6 years, this study: (1) explored whether the heterogenous group of self-employed workers contained subgroups with different health trajectories, (2) investigated whether these were more typical for certain individuals (with respect to age, gender, sector, education, employment status), and (3) compared the different health trajectories regarding resource development in mental well-being, business resources, employment status, work ability.

METHOD

The study used data from the Swedish longitudinal occupational survey of health (SLOSH) and included participants working as self-employed or combiner (N = 2642).

RESULT

Five trajectories were identified with latent class growth curve model analysis (LCGM). Two health trajectories with (1) very good, respective (2) good stable health (together comprising 78.5% of the participants), (3) one with moderate stable health (14.8%), (4) one with a U-shaped form (1.9%), and (5) one with low, slightly increasing health (4.7%). The first two trajectories flourish: they maintained or increased in all key resources and were more likely to remain self-employed. Trajectories three and five consist of those who fight to maintain or increase their resources. Workers in the U-shaped health trajectory show signs of fight and flight after loss in health and other key resources.

CONCLUSIONS

Studying subgroups with different resource developments over time was suitable to understand heterogeneity in self-employed workers. It also helped to identify vulnerable groups that may benefit from interventions to preserve their resources.

[Consequences of the COVID-19 pandemic: Are there risk groups for reduced subjective well-being after the first lockdown?]

BACKGROUND

Measures to contain COVID-19 have created burdens that have widened health inequalities. We examine the extent to which risk groups for reduced subjective well-being can be identified after the 2020 lockdown. In doing so, we also consider possible interactions of different social grouping characteristics as part of an intersectional approach.

METHOD

Socio-Economic Panel (SOEP) data from the years 2018-2020 were analyzed. A total of 16,000 cases with information on changes in well-being (SF-12 scores and individual indicators) were included in the analyses. We use the classification method "random forests" to identify groups with different trends in well-being. For the interpretation of the content, we also present results from a regression model with social and health aspects as predictors.

RESULTS

Demographic and social characteristics explained only a very small part of the changes in subjective well-being (R² = 0.007-0.012) and did not allow for the differentiation of homogeneous risk groups. Although some significant predictors were found in the regression models, the corresponding effects were mostly small. In addition to the initial state of well-being before the pandemic began, the presence of chronic illnesses and disabilities in particular contributed to the explanation of subjective well-being.

DISCUSSION

The currently available data do not allow a clear identification of risk groups for losses in well-being in the first year of the COVID-19 pandemic. Health status before the onset of the pandemic appears to be more important for short-term changes in subjective well-being than socio-demographic and socio-economic categorization characteristics.

Resilient entrepreneurs? - revisiting the relationship between the Big Five and self-employment

The Big Five personality traits and their influence on entrepreneurial action have been repeatedly studied using a trait-based approach. The present paper partly deviates from this perspective by analysing the role of personality prototypes in relation to entrepreneurship. This person-centred approach suggests that combinations of Big Five traits form individual personalities. By using data from the German Socio-Economic Panel (SOEP), we show that at least three prototypes can be identified, one of which - the resilient type - can be hypothesized to significantly increase the likelihood of entrepreneurial action. Our regression results provide evidence of a positive impact of this prototype on the likelihood of and transitioning into self-employment but not the likelihood of exit. We also show that the prototyping approach explains individual self-employment decisions over and above what can already be explained by the profiling approach, another person-centred Big Five approach. The paper concludes with implications for policy and research.