Changes in physical activity and sedentary behavior during the first COVID-19 pandemic- restrictions in Germany: a nationwide survey : Running head: physical activity during the COVID-19 restrictions.

COVID-19 Depression Lockdown Pandemic restrictions Physical activity Sedentary behavior

Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
12 Feb 2024
Historique:
received: 22 09 2023
accepted: 04 01 2024
medline: 13 2 2024
pubmed: 13 2 2024
entrez: 12 2 2024
Statut: epublish

Résumé

The COVID-19 pandemic restrictions posed challenges to maintaining healthy lifestyles and physical well-being. During the first mobility restrictions from March to mid-July 2020, the German population was advised to stay home, except for work, exercise, and essential shopping. Our objective was to comprehensively assess the impact of these restrictions on changes in physical activity and sedentary behavior to identify the most affected groups. Between April 30, 2020, and May 12, 2020, we distributed a COVID-19-specific questionnaire to participants of the German National Cohort (NAKO). This questionnaire gathered information about participants' physical activity and sedentary behavior currently compared to the time before the restrictions. We integrated this new data with existing information on anxiety, depressive symptoms, and physical activity. The analyses focused on sociodemographic factors, social relationships, physical health, and working conditions. Out of 152,421 respondents, a significant proportion reported altered physical activity and sedentary behavioral patterns due to COVID-19 restrictions. Over a third of the participants initially meeting the WHO's physical activity recommendation could no longer meet the guidelines during the restrictions. Participants reported substantial declines in sports activities (mean change (M) = -0.38; 95% CI: -.390; -.378; range from -2 to + 2) and reduced active transportation (M = -0.12; 95% CI: -.126; -.117). However, they also increased recreational physical activities (M = 0.12; 95% CI: .117; .126) while engaging in more sedentary behavior (M = 0.24; 95% CI: .240; .247) compared to pre-restriction levels. Multivariable linear and log-binomial regression models indicated that younger adults were more affected by the restrictions than older adults. The shift to remote work, self-rated health, and depressive symptoms were the factors most strongly associated with changes in all physical activity domains, including sedentary behavior, and the likelihood to continue following the physical activity guidelines. Mobility patterns shifted towards inactivity or low-intensity activities during the nationwide restrictions in the spring of 2020, potentially leading to considerable and lasting health risks.

Sections du résumé

BACKGROUND BACKGROUND
The COVID-19 pandemic restrictions posed challenges to maintaining healthy lifestyles and physical well-being. During the first mobility restrictions from March to mid-July 2020, the German population was advised to stay home, except for work, exercise, and essential shopping. Our objective was to comprehensively assess the impact of these restrictions on changes in physical activity and sedentary behavior to identify the most affected groups.
METHODS METHODS
Between April 30, 2020, and May 12, 2020, we distributed a COVID-19-specific questionnaire to participants of the German National Cohort (NAKO). This questionnaire gathered information about participants' physical activity and sedentary behavior currently compared to the time before the restrictions. We integrated this new data with existing information on anxiety, depressive symptoms, and physical activity. The analyses focused on sociodemographic factors, social relationships, physical health, and working conditions.
RESULTS RESULTS
Out of 152,421 respondents, a significant proportion reported altered physical activity and sedentary behavioral patterns due to COVID-19 restrictions. Over a third of the participants initially meeting the WHO's physical activity recommendation could no longer meet the guidelines during the restrictions. Participants reported substantial declines in sports activities (mean change (M) = -0.38; 95% CI: -.390; -.378; range from -2 to + 2) and reduced active transportation (M = -0.12; 95% CI: -.126; -.117). However, they also increased recreational physical activities (M = 0.12; 95% CI: .117; .126) while engaging in more sedentary behavior (M = 0.24; 95% CI: .240; .247) compared to pre-restriction levels. Multivariable linear and log-binomial regression models indicated that younger adults were more affected by the restrictions than older adults. The shift to remote work, self-rated health, and depressive symptoms were the factors most strongly associated with changes in all physical activity domains, including sedentary behavior, and the likelihood to continue following the physical activity guidelines.
CONCLUSIONS CONCLUSIONS
Mobility patterns shifted towards inactivity or low-intensity activities during the nationwide restrictions in the spring of 2020, potentially leading to considerable and lasting health risks.

Identifiants

pubmed: 38347566
doi: 10.1186/s12889-024-17675-y
pii: 10.1186/s12889-024-17675-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

433

Informations de copyright

© 2024. The Author(s).

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Auteurs

Florian Herbolsheimer (F)

Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany. florian.herbolsheimer@dkfz.de.

Annette Peters (A)

Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.

Sarah Wagner (S)

Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.

Stefan N Willich (SN)

Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Lilian Krist (L)

Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Tobias Pischon (T)

Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.

Katharina Nimptsch (K)

Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.

Sylvia Gastell (S)

German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany.

Mirko Brandes (M)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Berit Brandes (B)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Tamara Schikowski (T)

IUF - Leibniz Research Institute for Environmental Medicine, Duesseldorf, Germany.

Börge Schmidt (B)

Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, Germany.

Karin B Michels (KB)

Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.

Rafael Mikolajczyk (R)

Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences , Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle, Germany.

Volker Harth (V)

Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany.

Nadia Obi (N)

Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany.

Stefanie Castell (S)

Helmholtz Centre for Infection Research, Brunswick, Germany.

Jana K Heise (JK)

Helmholtz Centre for Infection Research, Brunswick, Germany.

Wolfgang Lieb (W)

Institute of Epidemiology, University of Kiel, Kiel, Germany.

Katrin Franzpötter (K)

Institute of Epidemiology, University of Kiel, Kiel, Germany.

André Karch (A)

Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.

Henning Teismann (H)

Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.

Henry Völzke (H)

Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.

Claudia Meinke-Franze (C)

Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.

Michael Leitzmann (M)

University of Regensburg, Regensburg, Germany.

Michael J Stein (MJ)

University of Regensburg, Regensburg, Germany.

Hermann Brenner (H)

Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Bernd Holleczek (B)

Saarland Cancer Registry, Saarbrücken, Germany.

Andrea Weber (A)

University of Regensburg, Regensburg, Germany.

Barbara Bohn (B)

NAKO e.V., Heidelberg, Germany.

Alexander Kluttig (A)

Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences , Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle, Germany.

Karen Steindorf (K)

Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Classifications MeSH