Coping with COVID: risk and resilience factors for mental health in a German representative panel study

被引:14
|
作者
Riepenhausen, Antje [1 ,2 ,3 ,4 ]
Veer, Ilya M. [1 ,2 ,3 ,5 ]
Wackerhagen, Carolin [1 ,2 ,3 ]
Reppmann, Zala C. [1 ,2 ,3 ]
Koeber, Goeran [6 ,7 ]
Luis Ayuso-Mateos, Jose [8 ,9 ,10 ]
Bogemann, Sophie A. [11 ]
Corrao, Giovanni [12 ,13 ]
Felez-Nobrega, Mireia [9 ,14 ]
Haro Abad, Josep Maria [9 ,14 ]
Hermans, Erno [11 ]
van Leeuwen, Judith [11 ]
Lieb, Klaus [15 ,16 ]
Lorant, Vincent [17 ]
Mary-Krause, Murielle [18 ]
Mediavilla, Roberto [8 ,9 ]
Melchior, Maria [18 ]
Mittendorfer-Rutz, Ellenor [19 ]
Compagnoni, Matteo Monzio [12 ,13 ]
Pan, Kuan-Yu [20 ]
Puhlmann, Lara [15 ,21 ]
Roelofs, Karin [11 ,22 ]
Sijbrandij, Marit [23 ,24 ]
Smith, Pierre [17 ,25 ]
Tuescher, Oliver [15 ,16 ]
Witteveen, Anke [23 ,24 ]
Zerban, Matthias [26 ]
Kalisch, Raffael [15 ,26 ]
Kroeger, Hannes [27 ,28 ]
Walter, Henrik [1 ,2 ,3 ,4 ]
机构
[1] Charite Univ Med Berlin, Dept Psychiat & Neurosci CCM, Res Div Mind & Brain, Charitepl 1, D-10117 Berlin, Germany
[2] Free Univ Berlin, Charitepl 1, D-10117 Berlin, Germany
[3] Humboldt Univ, Charitepl 1, D-10117 Berlin, Germany
[4] Humboldt Univ, Fac Philosophy, Berlin Sch Mind & Brain, Berlin, Germany
[5] Univ Amsterdam, Dept Dev Psychol, Amsterdam, Netherlands
[6] Univ Freiburg, Fac Med & Med Ctr, Inst Med Biometry & Stat, Freiburg, Germany
[7] Univ Freiburg, Freiburg Ctr Data Anal & Modelling, Freiburg, Germany
[8] Univ Autonoma Madrid UAM, Dept Psychiat, Madrid, Spain
[9] Ctr Invest Biomed Red Salud Mental CIBERSAM, Madrid, Spain
[10] La Princesa Univ Hosp, Inst Invest Sanitaria Princesa IIS Princesa, Dept Psychiat, Madrid, Spain
[11] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Med Ctr, Nijmegen, Netherlands
[12] Univ Milano Bicocca, Dept Stat & Quantitat Methods, Unit Biostat Epidemiol & Publ Hlth, Milan, Italy
[13] Univ Milano Bicocca, Natl Ctr Healthcare Res & Pharmacoepidemiol, Milan, Italy
[14] Parc Sanitari St Joan de Deu, Res & Dev Unit, Barcelona, Spain
[15] Leibniz Inst Resilience Res LIR, Mainz, Germany
[16] Univ Med Ctr Mainz, Dept Psychiat & Psychotherapy, Mainz, Germany
[17] Catholic Univ Louvain, Inst Hlth & Soc IRSS, Brussels, Belgium
[18] Sorbonne Univ, Inst Pierre Louis Epidemiol & Sante Publ, Dept Social Epidemiol, F-75012 Paris, France
[19] Karolinska Inst, Dept Clin Neurosci, Div Insurance Med, Berzelius Vag 3, S-17177 Stockholm, Sweden
[20] Vrije Univ, Amsterdam Univ Med Ctr, Dept Psychiat, Amsterdam Publ Hlth, Amsterdam, Netherlands
[21] Max Planck Inst Human Cognit & Brain Sci, Res Grp Social Stress & Family Hlth, Leipzig, Germany
[22] Radboud Univ Nijmegen, Behav Sci Inst, Nijmegen, Netherlands
[23] Vrije Univ, Amsterdam Publ Hlth Res Inst, Dept Clin Neuro & Dev Psychol, Amsterdam, Netherlands
[24] Vrije Univ, WHO Collaborating Ctr Res & Disseminat Psychol In, Amsterdam, Netherlands
[25] Sciensano, Dept Epidemiol & Publ Hlth, Brussels, Belgium
[26] Johannes Gutenberg Univ Mainz, Neuroimaging Ctr NIC, Focus Program Translat Neurosci FTN, Med Ctr, Mainz, Germany
[27] German Inst Econ Res DIW, Socioecon Panel SOEP, Berlin, Germany
[28] Max Planck Inst Social Law & Social Policy, Munich Ctr Econ Aging MEA, Munich, Germany
基金
欧盟地平线“2020”;
关键词
COVID-19; mental health; psychological distress; resilience; risk factors; COGNITIVE EMOTION REGULATION; PSYCHOLOGICAL FLEXIBILITY; REGULATION QUESTIONNAIRE; ANXIETY; DEPRESSION; PREDICTION; OPTIMISM; LOCKDOWN; IMPACT; SCALE;
D O I
10.1017/S0033291722000563
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Background The coronavirus disease 2019 (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 = 6684), 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 Patient Health Questionnaire for Depression and Anxiety (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, and asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, and 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. A comparison of pre-pandemic data stresses 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 discussed.
引用
收藏
页码:3897 / 3907
页数:11
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