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Psychological Resilience Factors and Their Association With.pdf 743,18KB
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1000 Titel
  • Psychological Resilience Factors and Their Association With Weekly Stressor Reactivity During the COVID-19 Outbreak in Europe: Prospective Longitudinal Study
1000 Autor/in
  1. Bögemann, Sophie |
  2. Puhlmann, Lara MC |
  3. Wackerhagen, Carolin |
  4. Zerban, Matthias |
  5. Riepenhausen, Antje |
  6. Köber, Göran |
  7. Yuen, Kenneth |
  8. Pooseh, Shakoor |
  9. Marciniak, Marta |
  10. Reppmann, Zala |
  11. Uściłko, Aleksandra |
  12. Weermeijer, Jeroen |
  13. Lenferink, Dionne |
  14. Mituniewicz, Julian |
  15. Robak, Natalia |
  16. Donner, Nina |
  17. mestdagh, merijn |
  18. Verdonck, Stijn |
  19. van Dick, Rolf |
  20. Kleim, Birgit |
  21. Lieb, Klaus |
  22. van Leeuwen, Judith |
  23. Kobylińska, Dorota |
  24. Myin-Germeys, Inez |
  25. Walter, Henrik |
  26. Tuescher, Oliver |
  27. Hermans, Erno |
  28. Veer, Ilya |
  29. Kalisch, Raffael |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-10-17
1000 Erschienen in
1000 Quellenangabe
  • 10:e46518
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.2196/46518 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618882/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Cross-sectional relationships between psychosocial resilience factors (RFs) and resilience, operationalized as the outcome of low mental health reactivity to stressor exposure (low 'stressor reactivity' [SR]), were reported during the first wave of the COVID-19 pandemic in 2020.!##!Objective!#!Extending these findings, we here examined prospective relationships and weekly dynamics between the same RFs and SR in a longitudinal sample during the aftermath of the first wave in several European countries.!##!Methods!#!Over 5 weeks of app-based assessments, participants reported weekly stressor exposure, mental health problems, RFs, and demographic data in 1 of 6 different languages. As (partly) preregistered, hypotheses were tested cross-sectionally at baseline (N=558), and longitudinally (n=200), using mixed effects models and mediation analyses.!##!Results!#!RFs at baseline, including positive appraisal style (PAS), optimism (OPT), general self-efficacy (GSE), perceived good stress recovery (REC), and perceived social support (PSS), were negatively associated with SR scores, not only cross-sectionally (baseline SR scores; all P<.001) but also prospectively (average SR scores across subsequent weeks; positive appraisal (PA), P=.008; OPT, P<.001; GSE, P=.01; REC, P<.001; and PSS, P=.002). In both associations, PAS mediated the effects of PSS on SR (cross-sectionally: 95% CI -0.064 to -0.013; prospectively: 95% CI -0.074 to -0.0008). In the analyses of weekly RF-SR dynamics, the RFs PA of stressors generally and specifically related to the COVID-19 pandemic, and GSE were negatively associated with SR in a contemporaneous fashion (PA, P<.001; PAC,P=.03; and GSE, P<.001), but not in a lagged fashion (PA, P=.36; PAC, P=.52; and GSE, P=.06).!##!Conclusions!#!We identified psychological RFs that prospectively predict resilience and cofluctuate with weekly SR within individuals. These prospective results endorse that the previously reported RF-SR associations do not exclusively reflect mood congruency or other temporal bias effects. We further confirm the important role of PA in resilience.
1000 Sacherschließung
lokal Psychiatry and Mental health
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-9382-0769|https://orcid.org/0000-0002-0870-8770|https://orcid.org/0000-0002-5689-3472|https://orcid.org/0000-0002-2684-3271|https://orcid.org/0000-0001-8749-5349|https://orcid.org/0000-0001-7038-0860|https://orcid.org/0000-0002-9465-9070|https://orcid.org/0000-0002-5441-9507|https://orcid.org/0000-0003-4301-3269|https://orcid.org/0000-0001-8633-9651|https://orcid.org/0000-0002-0001-7190|https://orcid.org/0000-0002-6288-795X|https://orcid.org/0009-0009-1699-8315|https://orcid.org/0000-0002-9717-5784|https://orcid.org/0000-0002-5482-3745|https://orcid.org/0000-0003-0548-1408|https://orcid.org/0000-0001-5077-861X|https://orcid.org/0000-0002-2199-1072|https://orcid.org/0000-0002-6308-9466|https://orcid.org/0000-0001-9114-2917|https://orcid.org/0000-0002-9609-4261|https://orcid.org/0000-0001-7105-0038|https://orcid.org/0000-0003-0184-2595|https://orcid.org/0000-0002-3731-4930|https://orcid.org/0000-0002-9403-6121|https://orcid.org/0000-0002-4023-5301|https://orcid.org/0000-0003-1339-8639|https://orcid.org/0000-0002-6733-3593|https://orcid.org/0000-0002-9503-7601
1000 Label
1000 Förderer
  1. Horizon 2020 |
  2. Deutsche Forschungsgemeinschaft |
  3. State of Rhineland-Palatinate |
  4. Studienstiftung des Deutschen Volkes |
1000 Fördernummer
  1. 777084; 101016127
  2. -
  3. -
  4. -
1000 Förderprogramm
  1. DynaMORE project; RESPOND
  2. -
  3. -
  4. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 |
    1000 Förderprogramm DynaMORE project; RESPOND
    1000 Fördernummer 777084; 101016127
  2. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer State of Rhineland-Palatinate |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Studienstiftung des Deutschen Volkes |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6472710.rdf
1000 Erstellt am 2023-12-14T08:14:06.332+0100
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6472710 |
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