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Coping with COVID: risk and resilience factors for mental health in a German representative panel study.
Riepenhausen, Antje; Veer, Ilya M; Wackerhagen, Carolin; Reppmann, Zala C; Köber, Göran; Ayuso-Mateos, José Luis; Bögemann, Sophie A; Corrao, Giovanni; Felez-Nobrega, Mireia; Abad, Josep Maria Haro; Hermans, Erno; van Leeuwen, Judith; Lieb, Klaus; Lorant, Vincent; Mary-Krause, Murielle; Mediavilla, Roberto; Melchior, Maria; Mittendorfer-Rutz, Ellenor; Compagnoni, Matteo Monzio; Pan, Kuan-Yu; Puhlmann, Lara; Roelofs, Karin; Sijbrandij, Marit; Smith, Pierre; Tüscher, Oliver; Witteveen, Anke; Zerban, Matthias; Kalisch, Raffael; Kröger, Hannes; Walter, Henrik.
Afiliação
  • Riepenhausen A; Department of Psychiatry and Neurosciences - CCM, Research Division of Mind and Brain, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
  • Veer IM; Berlin School of Mind and Brain, Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Wackerhagen C; Department of Psychiatry and Neurosciences - CCM, Research Division of Mind and Brain, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
  • Reppmann ZC; Department of Developmental Psychology, University of Amsterdam, Amsterdam, The Netherlands.
  • Köber G; Department of Psychiatry and Neurosciences - CCM, Research Division of Mind and Brain, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
  • Ayuso-Mateos JL; Department of Psychiatry and Neurosciences - CCM, Research Division of Mind and Brain, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
  • Bögemann SA; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Corrao G; Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany.
  • Felez-Nobrega M; Department of Psychiatry, Universidad Autónoma de Madrid (UAM), Madrid, Spain.
  • Abad JMH; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
  • Hermans E; Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), La Princesa University Hospital, Madrid, Spain.
  • van Leeuwen J; Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Lieb K; Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Lorant V; National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
  • Mary-Krause M; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
  • Mediavilla R; Research and Development Unit, Parc Sanitari Sant Joan de Déu, Barcelona, Spain.
  • Melchior M; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
  • Mittendorfer-Rutz E; Research and Development Unit, Parc Sanitari Sant Joan de Déu, Barcelona, Spain.
  • Compagnoni MM; Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Pan KY; Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Puhlmann L; Leibniz Institute for Resilience Research (LIR), Mainz, Germany.
  • Roelofs K; Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
  • Sijbrandij M; Institute of Health and Society (IRSS), Université Catholique de Louvain, Brussels, Belgium.
  • Smith P; Department of Social Epidemiology, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, 75012 Paris, France.
  • Tüscher O; Department of Psychiatry, Universidad Autónoma de Madrid (UAM), Madrid, Spain.
  • Witteveen A; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
  • Zerban M; Department of Social Epidemiology, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, 75012 Paris, France.
  • Kalisch R; Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Berzelius väg 3, 17177 Stockholm, Sweden.
  • Kröger H; Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Walter H; National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
Psychol Med ; 53(9): 3897-3907, 2023 07.
Article em En | MEDLINE | ID: mdl-35301966
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Mental / COVID-19 Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Mental / COVID-19 Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article