Evidence map›Paper›PMID 38455897›Full record

ArticleFrontiers in epidemiology2023

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

Theresa Dankowski, Lydia Kastner, Ulrike Suenkel, Anna-Katharina von Thaler, Christian Mychajliw, Michael Krawczak, Walter Maetzler, Daniela Berg, Kathrin Brockmann, Ansgar Thiel and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Theresa DankowskiDepartment of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Lydia KastnerInstitute of Sport Science, Eberhard Karls University of Tübingen, Tübingen, Germany.
Ulrike SuenkelDepartment of Psychiatry and Psychotherapy, Tübingen University Hospital, Tübingen, Germany.
Anna-Katharina von ThalerDepartment of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Christian MychajliwDepartment of Psychiatry and Psychotherapy, Tübingen University Hospital, Tübingen, Germany.
Michael KrawczakInstitute of Medical Informatics and Statistics, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Walter MaetzlerDepartment of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Daniela BergDepartment of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
Kathrin BrockmannDepartment of Neurodegeneration, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Ansgar ThielInstitute of Sport Science, Eberhard Karls University of Tübingen, Tübingen, Germany.
Gerhard W EschweilerDepartment of Psychiatry and Psychotherapy, Tübingen University Hospital, Tübingen, Germany.
Sebastian HeinzelDepartment of Neurology, Kiel University, University Medical Centre Schleswig-Holstein, Kiel, Germany.
University of Lübeck · DEUniversity Children's Hospital Tübingen · DEKiel University · DEUniversity of Tübingen · DEHertie Institute for Clinical Brain Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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: 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: 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: 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.

Indexed as

coronaCOVID-19depressionolder populationpandemicpsychosocial factorsresiliencestress

Identifiers

PMID38455897
PMCPMC10911044
OpenAlexW4320490835

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.