Longitudinal dynamics of depression in risk groups of older individuals during the COVID-19 pandemic.

COVID-19 corona depression older population pandemic psychosocial factors resilience stress

Journal

Frontiers in epidemiology
ISSN: 2674-1199
Titre abrégé: Front Epidemiol
Pays: Switzerland
ID NLM: 9918419158106676

Informations de publication

Date de publication:
2023
Historique:
received: 09 11 2022
accepted: 25 01 2023
medline: 8 3 2024
pubmed: 8 3 2024
entrez: 8 3 2024
Statut: epublish

Résumé

Older individuals are most at risk of severe COVID-19 and particularly require protection causing (self)restriction of psychosocial interaction in daily living. So far, the impact of psychosocial withdrawal on mental health seems less pronounced in community-dwelling older individuals compared to younger individuals. However, dynamics and adverse long-term effects of the pandemic, such as increases in depression, are still mostly unclear, especially for vulnerable subgroups. Pre-pandemic and 3-, 8-, 14-, 20-month peri-pandemic data were analyzed in 877 older participants (age at 3-month peri-pandemic: mean ± SD: 72.3 ± 6.3, range: 58-91 years) of the observational prospective TREND study in Germany. Severity of depression (Beck's Depression Inventory-II scores) and key factors of (mental) health were investigated for cross-sectional associations using path modeling. Risk groups defined by resilience, loneliness, history of depression, stress, health status and fear of COVID-19 were investigated for differences in depression between timepoints. The early pandemic (3-month) severity of depression was most strongly associated with history of depression, stress and resilience. Overall increases in clinically relevant depression (mild-severe) from pre- to 3-month peri-pandemic were small (% with depression at pre-/3-month peri-pandemic: 8.3%/11.5%). Changes were most pronounced in risk groups with low resilience (27.2%/41.8%), loneliness (19.0%/28.9%), fear of COVID-19 (17.6%/31.4%), high stress (24.4%/34.2%), a history of depression (27.7%/36.9%), and low health status (21.8%/31.4%). Changes in depression were largely observed from pre- to 3-month and were sustained to the 20-month peri-pandemic timepoint, overall and in stratified risk groups defined by single and cumulative risk factors. Changes between timepoints were heterogenous as indicated by alluvial diagrams. Only specific risk groups of older individuals showed a large increase in depression during the COVID-19 pandemic. Since these increases occurred early in the pandemic and were sustained over 20 months, these vulnerable risk groups need to be prioritized for counselling and risk mitigation of depression.

Sections du résumé

Background UNASSIGNED
Older individuals are most at risk of severe COVID-19 and particularly require protection causing (self)restriction of psychosocial interaction in daily living. So far, the impact of psychosocial withdrawal on mental health seems less pronounced in community-dwelling older individuals compared to younger individuals. However, dynamics and adverse long-term effects of the pandemic, such as increases in depression, are still mostly unclear, especially for vulnerable subgroups.
Methods UNASSIGNED
Pre-pandemic and 3-, 8-, 14-, 20-month peri-pandemic data were analyzed in 877 older participants (age at 3-month peri-pandemic: mean ± SD: 72.3 ± 6.3, range: 58-91 years) of the observational prospective TREND study in Germany. Severity of depression (Beck's Depression Inventory-II scores) and key factors of (mental) health were investigated for cross-sectional associations using path modeling. Risk groups defined by resilience, loneliness, history of depression, stress, health status and fear of COVID-19 were investigated for differences in depression between timepoints.
Findings UNASSIGNED
The early pandemic (3-month) severity of depression was most strongly associated with history of depression, stress and resilience. Overall increases in clinically relevant depression (mild-severe) from pre- to 3-month peri-pandemic were small (% with depression at pre-/3-month peri-pandemic: 8.3%/11.5%). Changes were most pronounced in risk groups with low resilience (27.2%/41.8%), loneliness (19.0%/28.9%), fear of COVID-19 (17.6%/31.4%), high stress (24.4%/34.2%), a history of depression (27.7%/36.9%), and low health status (21.8%/31.4%). Changes in depression were largely observed from pre- to 3-month and were sustained to the 20-month peri-pandemic timepoint, overall and in stratified risk groups defined by single and cumulative risk factors. Changes between timepoints were heterogenous as indicated by alluvial diagrams.
Conclusion UNASSIGNED
Only specific risk groups of older individuals showed a large increase in depression during the COVID-19 pandemic. Since these increases occurred early in the pandemic and were sustained over 20 months, these vulnerable risk groups need to be prioritized for counselling and risk mitigation of depression.

Identifiants

pubmed: 38455897
doi: 10.3389/fepid.2023.1093780
pmc: PMC10911044
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1093780

Informations de copyright

© 2023 Dankowski, Kastner, Suenkel, Von Thaler, Mychajliw, Krawczak, Maetzler, Berg, Brockmann, Thiel, Eschweiler and Heinzel.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Theresa Dankowski (T)

Department of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Institute of Medical Informatics and Statistics, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.

Lydia Kastner (L)

Institute of Sport Science, Eberhard Karls University of Tübingen, Tübingen, Germany.
Department of Psychiatry and Psychotherapy, Tübingen University Hospital, Tübingen, Germany.
Lead Graduate School and Research Network, University of Tübingen, Tübingen, Germany.

Ulrike Suenkel (U)

Department of Psychiatry and Psychotherapy, Tübingen University Hospital, Tübingen, Germany.

Anna-Katharina von Thaler (AK)

Department of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Department of Neurodegeneration, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

Christian Mychajliw (C)

Department of Psychiatry and Psychotherapy, Tübingen University Hospital, Tübingen, Germany.

Michael Krawczak (M)

Institute of Medical Informatics and Statistics, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.

Walter Maetzler (W)

Department of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.

Daniela Berg (D)

Department of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.

Kathrin Brockmann (K)

Department of Neurodegeneration, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
German Center for Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany.

Ansgar Thiel (A)

Institute of Sport Science, Eberhard Karls University of Tübingen, Tübingen, Germany.

Gerhard W Eschweiler (GW)

Department of Psychiatry and Psychotherapy, Tübingen University Hospital, Tübingen, Germany.
Geriatric Center, Tübingen University Hospital, Tübingen, Germany.

Sebastian Heinzel (S)

Department of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Institute of Medical Informatics and Statistics, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.

Classifications MeSH