Evidence map›Paper›PMID 41322989›Full record

ArticleJournal of mood and anxiety disorders2025

Temporal depressive symptom networks in older adults during the COVID-19 pandemic.

Michael Odenthal, Pascal Schlechter, Christoph Benke, Christiane A Melzig

Abstract read
In one paragraph

Article in Journal of mood and anxiety disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Michael OdenthalUniversity of Marburg, Marburg, Germany.
Pascal SchlechterUniversity of Münster, Münster, Germany.
Christoph BenkeUniversity of Marburg, Marburg, Germany.
Christiane A MelzigUniversity of Marburg, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Older adults show high rates of depression with an increase during the COVID-19 pandemic. Social isolation and lifestyle disruptions contributed to loneliness, symptoms of depression, and reduced activity. For interventions, it is crucial to understand the development of symptoms of depression networks and changes over time under stressors such as pandemics. Yet, no COVID-19 longitudinal depression network study in older people exists. We therefore aimed to investigate changes in relationships between symptoms of depression in older adults during compared to the pre-COVID-19 period. Methods: We conducted cross-lagged panel network analyses in four waves from the English Longitudinal Study of Ageing (ELSA), a representative dataset of the UK population over 50 years (initial Results: While the pre- and pandemic networks showed consistent overall structures, some differences emerged. In the pre-pandemic network, Discussion: Loneliness appears to play a key role in symptom development under acute and repeated stress. Findings suggest that dynamics in symptoms of depression networks in older adults are relatively stable, even during acute and repeated stress during the COVID-19 pandemic.

Indexed as

CLPNCOVID-19 pandemicDepressionMental healthNetwork analysisSomatic symptomsThe English Longitudinal Study of Ageing

Identifiers

PMID41322989
PMCPMC12657744

What OpenQuestion holds

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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.