The Impact of the Different Stages of COVID-19, Time of the Week and Exercise Frequency on Mental Distress in Men and Women.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
21 Jun 2022
Historique:
received: 24 05 2022
revised: 15 06 2022
accepted: 16 06 2022
entrez: 9 7 2022
pubmed: 10 7 2022
medline: 14 7 2022
Statut: epublish

Résumé

The COVID-19 pandemic produced life disturbances and loss of routine which affected diet and sleep quality as well as physical exercise frequency. Interestingly, mental distress was higher even in those who exercised. The purpose of this study was to assess exercise frequency in relation to different levels of mental distress severity in men and women while accounting for working days and weekends. A de-identified secondary data set was analyzed. Regression analyses produced models of the different stages of COVID-19 in relation to physical exercise frequency and mental distress levels. Margin analysis generated predictive models that could be used prophylactically to customize physical exercise frequencies in men and women to reduce their risk of mental distress during future pandemics. Mental distress during the lockdown and after ease of restrictions was associated with different physical exercise frequencies, with a noticeable difference between men and women. During a pandemic, sedentary men are more likely to be mentally distressed during working days. Nevertheless, moderately active, but not very active women, may be less distressed during pandemic weekends. These findings may provide a framework to optimize mental health during different stages of a pandemic by customizing physical exercise frequencies based on gender and time of the week.

Identifiants

pubmed: 35807753
pii: nu14132572
doi: 10.3390/nu14132572
pmc: PMC9268137
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Center for Collective Dynamics of Complex Systems
ID : 000002022

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Auteurs

Lina Begdache (L)

Health and Wellness Studies, Binghamton University, Binghamton, NY 13902, USA.

Anseh Danesharasteh (A)

Systems Science and Industrial Engineering, Binghamton, NY 13902, USA.

Zeynep Ertem (Z)

Systems Science and Industrial Engineering, Binghamton, NY 13902, USA.

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Classifications MeSH