Coping with COVID: Risk and Resilience Factors for Mental Health in a German Representative Panel Study

The COVID-19 pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare. Methods: In a stratified random sample of the German household population (n=6,684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors assessed between 2015 and 2020 with changes in psychological distress (PD; measured via PHQ-4) from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting. Results: PHQ-4 scores in 2020 (M=2.45) and 2021 (M=2.21) were elevated compared to 2019 (M=1.79). Several risk factors (catastrophizing, neuroticism, asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes. Conclusions: We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. Comparison to pre-pandemic data stress the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussedThis project has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement numbers 777084 (DynaMORE) and 101016127 (RESPOND). ‘SOEP-CoV: The Spread of the Coronavirus in Germany: Socio-Economic Factors and Consequences’ was funded by the German Federal Ministry of Education and Research (BMBF). AR was supported by Studienstiftung des deutschen Volkes. HK was supported by the Deutsche Forschungsgemeinschaft (DFG, German Science Foundation) Grants – 415809395, 427279591, and 40965412. The data can be accessed via the research data center of the SOE