Evidence map›Paper›PMID 36353575›Full record

ArticleFrontiers in psychiatry2022

Longitudinal development of depression and anxiety during COVID-19 pandemic in Germany: Findings from a population-based probability sample survey.

Katrin E Giel, Peter Martus, Gregor Paul, Jan Steffen Jürgensen, Bernd Löwe, Lina Maria Serna Higuita, Annica F Dörsam, Felicitas Stuber, Stefan Ehehalt, Stephan Zipfel and 1 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Katrin E GielDepartment for Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tuebingen, Tuebingen, Germany.
Peter MartusInstitute for Medical Biometrics and Clinical Epidemiology, University Hospital Tuebingen, Tuebingen, Germany.
Gregor PaulDepartment of Gastroenterology, Hepatology, Pneumology and Infectious Diseases, Klinikum Stuttgart, Stuttgart, Germany.
Jan Steffen JürgensenKlinikum Stuttgart, Stuttgart, Germany.
Bernd LöweDepartment for Psychosomatic Medicine and Psychotherapy, University Hospital Hamburg Eppendorf, Hamburg, Germany.
Lina Maria Serna HiguitaInstitute for Medical Biometrics and Clinical Epidemiology, University Hospital Tuebingen, Tuebingen, Germany.
Annica F DörsamDepartment for Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tuebingen, Tuebingen, Germany.
Felicitas StuberDepartment for Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tuebingen, Tuebingen, Germany.
Stefan EhehaltPublic Health Authority, Stuttgart, Germany.
Stephan ZipfelDepartment for Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tuebingen, Tuebingen, Germany.
Florian JunneDepartment for Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tuebingen, Tuebingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stress response to the COVID-19 pandemic might differ between early and later stages. Longitudinal data on the development of population mental health during COVID-19 pandemic is scarce. We have investigated mental health trajectories and predictors for change in a probability sample of the general population in Germany at the beginning and after 6 months of the pandemic. We conducted a longitudinal survey in a population-based probability sample of German adults. The current study analyzed data from a first assessment in May 2020 (T1;

Indexed as

anxietyCOVID-19depressionmental healthpandemicpopulation

Identifiers

PMID36353575
PMCPMC9637933

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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.