Mental health of individuals with pre-existing mental illnesses at the beginning of the COVID-19 pandemic: results of the German National Cohort (NAKO)

  1. Stein, Janine
  2. Pabst, Alexander
  3. Berger, Klaus
  4. Karch, André
  5. Teismann, Henning
  6. Streit, Fabian
  7. Grabe, Hans J
  8. Mikolajczyk, Rafael
  9. Massag, Janka
  10. Lieb, Wolfgang
  11. Castell, Stefanie
  12. Heise, Jana K
  13. Schulze, Matthias B
  14. Gastell, Sylvia
  15. Harth, Volker
  16. Obi, Nadia
  17. Peters, Annette
  18. Huemer, Marie-Theres
  19. Bohmann, Patricia
  20. Leitzmann, Michael
  21. Schipf, Sabine
  22. Meinke-Franze, Claudia
  23. Hebestreit, Antje ORCID logo
  24. Fuhr, Daniela ORCID logo
  25. Michels, Karin B.
  26. Jaskulski, Stefanie
  27. Stocker, Hannah
  28. Koch-Gallenkamp, Lena
  29. Willich, Stefan N.
  30. Keil, Thomas
  31. Löffler, Markus
  32. Wirkner, Kerstin
  33. Riedel-Heller, Steffi G.

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Stein-et-al_2024_Mental health of individuals with pre-existing mental illnesses at the beginning of the COVID-19 Pandemic.pdf 1,42MB
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1000 Titel
  • Mental health of individuals with pre-existing mental illnesses at the beginning of the COVID-19 pandemic: results of the German National Cohort (NAKO)
1000 Autor/in
  1. Stein, Janine |
  2. Pabst, Alexander |
  3. Berger, Klaus |
  4. Karch, André |
  5. Teismann, Henning |
  6. Streit, Fabian |
  7. Grabe, Hans J |
  8. Mikolajczyk, Rafael |
  9. Massag, Janka |
  10. Lieb, Wolfgang |
  11. Castell, Stefanie |
  12. Heise, Jana K |
  13. Schulze, Matthias B |
  14. Gastell, Sylvia |
  15. Harth, Volker |
  16. Obi, Nadia |
  17. Peters, Annette |
  18. Huemer, Marie-Theres |
  19. Bohmann, Patricia |
  20. Leitzmann, Michael |
  21. Schipf, Sabine |
  22. Meinke-Franze, Claudia |
  23. Hebestreit, Antje |
  24. Fuhr, Daniela |
  25. Michels, Karin B. |
  26. Jaskulski, Stefanie |
  27. Stocker, Hannah |
  28. Koch-Gallenkamp, Lena |
  29. Willich, Stefan N. |
  30. Keil, Thomas |
  31. Löffler, Markus |
  32. Wirkner, Kerstin |
  33. Riedel-Heller, Steffi G. |
1000 Erscheinungsjahr 2024
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-09-23
1000 Erschienen in
1000 Quellenangabe
  • 12:451631
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fpubh.2024.1451631 |
  • https://pmc.ncbi.nlm.nih.gov/articles/PMC11456423/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: The COVID-19 pandemic prompted a range of studies on mental health, with mixed results. While numerous studies reported worsened conditions in individuals with pre-existing mental disorders, others showed resilience and stability in mental health. However, longitudinal data focusing on the German population are sparse, especially regarding effects of age and pre-existing mental disorders during the early stages of the pandemic. OBJECTIVES: To assess the interplay between psychiatric history, age, and the timing of the pandemic, with a focus on understanding how these factors relate to the severity of depression and anxiety symptoms. METHODS: Exploratory analyses were based on 135,445 individuals aged 20–72 years from the German National Cohort (NAKO). Depressive and anxiety symptoms were assessed before and after the first wave of the pandemic. Inferential statistical analyses and negative binomial regression models were calculated. RESULTS: Persons with a self-reported psychiatric history exhibited comparable levels of depression and anxiety symptom severity after the first wave of the pandemic compared to the time before. In contrast, individuals without a psychiatric history, particularly those in their 20s to 40s, experienced an increase in mental health symptom severity during the first wave of the pandemic. LIMITATIONS: Analyses focuses on the first wave of the pandemic, leaving the long-term mental health effects unexplored. CONCLUSION: Future research should consider age-specific and mental-health-related factors when addressing global health crises. Additionally, it is important to explore factors influencing resilience and adaptation, aiming to develop targeted interventions and informed policies for effective mental health management during pandemics.
1000 Sacherschließung
lokal anxiety
lokal mental health
lokal COVID-19 pandemic
lokal longitudinal cohort study
lokal German National Cohort (NAKO)
lokal depression
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Helmholtz-Gemeinschaft |
  3. Universität Leipzig |
  4. Deutsche Forschungsgemeinschaft |
1000 Fördernummer
  1. 01ER1301A/B/C; 01ER1511D; 01ER1801A/B/C/D; 01KX2021
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  4. Open Access Publication Funding
1000 Dateien
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  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01ER1301A/B/C; 01ER1511D; 01ER1801A/B/C/D; 01KX2021
  2. 1000 joinedFunding-child
    1000 Förderer Helmholtz-Gemeinschaft |
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  3. 1000 joinedFunding-child
    1000 Förderer Universität Leipzig |
    1000 Förderprogramm Open Access Publishing Fund
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    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm Open Access Publication Funding
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