Environmental stress, minority status, and local poverty: risk factors for mental health in Berlin's inner city.

This study examines whether climate change-associated environmental stressors, including air and noise pollution, local heat levels, as well as a lack of surrounding greenspace, mediate the effects of local poverty on mental health, using the 28-item General Health Questionnaire. We recruited 478 adults who were representative of eleven of Berlin's inner-city neighborhoods. The relationship of individual-level variables, neighborhood-level sociodemographic and environmental data from the Berlin Senate (Department for Urban Development, Building and Housing) to mental health was assessed in a multilevel model using SPSS. We found that neither local exposure to environmental stressors, nor available greenspace as a protective factor, mediated the effects of local poverty on variance in mental health (all p values > 0.2). However, surrounding greenspace (r = -0.24, p < 0.001), nitrogen dioxide levels (r = 0.10, p < 0.05), noise pollution (rho = 0.15, p < 0.01), and particle pollution (r = 0.12, p < 0.001) were associated with local poverty, which, more strongly than individual factors, accounted for variance in mental health (ß = 0.47, p < 0.001). Our analysis indicates that the effects of local poverty on mental health are not mediated by environmental factors. Instead, local poverty was associated with both an increased mental health burden and the exposure to climate-related environmental stressors.

The influence of perceived stress and income on mental health in China and Germany.

Background: Mental health issues affect rich and poor, young and old, and are widespread in Asia as well as in Europe. However, few studies have investigated the influence of perceived stress and income on mental health among general population in China and in Germany. Methods: We conducted an online survey from December 2021 to February 2022 to investigate how perceived stress and income affect mental health among the general population in China (N = 1123) and in Germany (N = 1018). Accordingly, we used the 10-item Perceived Stress Scale (PSS-10) and the 12-item General Health Questionnaire (GHQ-12). We ran a multiple linear regression model to investigate the relationship between perceived stress, income, and mental health. Results: Overall, we found that 53.4% participants reported mental health issues (GHQ-12 score ≥12). The proportion of our sample who reported mental health issues was higher in Germany (60.3%) than in China (44.8%). The regression model revealed that a higher perceived stress score was associated with more mental health issues in both countries (b = 0.60, p < 0.01). Individuals with a low income reported poorer mental health in Germany than those in China. Interestingly, the situation was reversed when incomes were high: individuals with a high income reported worse mental health in China than in Germany (b = -0.40, p < 0.01). Conclusion: Perceived stress has a negative impact on mental health, while income has differential effects. Mental health promotion programmes may involve teaching stress management, while considering differences in mental health outcomes in developed and developing countries.