Evidence map›Paper›PMID 42104314›Full record

ArticleBMC public health2026

Self-rated health and mental health before and during the early phase of the COVID-19 pandemic in Germany: the population-based German National Cohort (NAKO) study.

Yue Xi, Thomas Keil, Lilian Krist, Tobias Pischon, Ilais Moreno Velásquez, Matthias B Schulze, Wolfgang Ahrens, Hajo Zeeb, Oliver Kuß, Tamara Schikowski and 23 more

Abstract read
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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

33 authors.

Yue XiInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, Neuherberg, 85764, Germany. yue.xi@helmholtz-munich.de.
Thomas KeilInstitute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Lilian KristInstitute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Tobias PischonMax Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany.
Ilais Moreno VelásquezMax Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Hajo ZeebLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Oliver KußInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.
Tamara SchikowskiIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Andreas StangInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Alexandra NietersCenter for Chronic Immunodeficiency (CCI), University of Freiburg Medical Center, Freiburg, Germany.
Rafael MikolajczykInstitute for Medical Epidemiology, Biometrics and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Janka MassagInstitute for Medical Epidemiology, Biometrics and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Volker HarthInstitute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Nadia ObiInstitute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Anne C HalletDepartment of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Carolina J Klett-TammenDepartment of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Wolfgang LiebInstitute of Epidemiology, Kiel University, Kiel, Germany.
Markus LöfflerInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Till BärnighausenHeidelberg Institute of GlobalHealth, University Hospital Heidelberg, Heidelberg, Germany.
André KarchInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Klaus BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Muhammad Nasir Khan KhattakInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Claudia Meinke-FranzeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Michael LeitzmannInstitute for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Beate FischerInstitute for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Hermann BrennerCancer Prevention Graduate School, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Bernd HolleczekSaarland Cancer Registry, Saarbrücken, Germany.
Susanne RospleszczInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, Neuherberg, 85764, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, Neuherberg, 85764, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic and accompanying social distancing measures might have caused adverse health consequences. We aimed to describe changes in participants' self-rated health and mental health (depression, anxiety, and stress), and investigate factors associated with them.

methodsWe collected data from the German National Cohort (NAKO). We first described changes in participants' self-rated health and mental health from the baseline examination (1 to 6 years earlier) to the early phase of the COVID-19 pandemic. We then applied the multinomial logistic regression model (self-rated health) and the quantile regression model (mental health) to investigate the potential factors associated with the health status and changes.

resultsAfter a median of 3.1 [2.1, 4.1] years from baseline to the early pandemic phase (N = 91,809), 39.3% of participants with good health and 69.7% with less good health status at baseline reported better health. However, the percentage of participants with high depression, anxiety, and stress scores (≥ 10) increased from 6.2%, 4.1%, and 4.3% to 8.6%, 5.6%, and 10.1%, respectively. In the multivariable models, we found that being younger, being male, highly educated, being employed, having higher life satisfaction at baseline, being more physically active, drinking heavily, and experiencing improved anxiety symptoms were associated with improved self-rated health. In contrast, smoking and having mental health disorders were all associated with worse self-rated health. Our results showed that being younger, being female, smoking, drinking heavily, and drinking more since baseline were associated with higher depression scores. Having had a coronavirus test was associated with worse self-rated health and more severe anxiety and stress.

conclusionsDuring the early COVID-19 pandemic, many participants experienced improvements in self-rated health but suffered deterioration in mental health and physical activity engagement. Female participants, those who were physically inactive, and those with pre-existing mental disorders were more likely to report poorer health.

Indexed as

COVID-19Diagnostic Self EvaluationHealth StatusMental HealthPandemicsAdultAgedAnxietyCohort StudiesDepressionFemaleGermanyHumansMaleMiddle AgedSelf ReportAnxietyCOVID-19 pandemicDepressionSelf-rated healthStress

Identifiers

PMID42104314
PMCPMC13156848

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