Evidence map›Paper›PMID 40496782›Full record

ArticlePublic health challenges2023

Physical activity and stress among college students at a large US university during the COVID-19 pandemic.

Wendy DeYoung, Becca Schulte, Kaigang Li

Abstract read
In one paragraph

Article in Public health challenges, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Wendy DeYoungDepartment of Health and Exercise Science Colorado State University Fort Collins Colorado USA.
Becca SchulteColorado School of Public Health Fort Collins Colorado USA.
Kaigang LiDepartment of Health and Exercise Science Colorado State University Fort Collins Colorado USA.ORCID https://orcid.org/0000-0003-3629-4808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the onset of the COVID-19 pandemic and subsequent lockdown in March 2020, reports indicate reduced physical activity (PA), increased sitting time (ST), and higher stress in various groups. It remains uncertain if these patterns persist in college students. This study aimed to discover trends in vigorous PA (VPA), moderate PA (MPA), light PA (LPA), ST, and stress among college students from 2020 to early 2022, spanning 2 years. Methods: Using a repeated cross-sectional design, this study involved three online surveys in Summer and Fall 2020, and Winter 2021, respectively. Participants recalled pre-COVID-19 information in the first two periods and reported current information during COVID in all three periods, outlining four time points: Before-COVID and During-COVID times 1, 2, and 3. Results: This study included 2163 students from a large Western university. All types of PA decreased from the start of the pandemic to late 2021; however, increases toward pre-pandemic levels in MPA and LPA were found in early 2022. Also, activity shifted from VPA to MPA and LPA. Although ST and perceived stress (PS) surged in the pandemic's first year, they began decreasing toward pre-COVID levels in early 2022. Conclusion: The study indicates a decline in PA during the peak of the pandemic, followed by a recent return to almost pre-COVID levels. Additionally, elevated ST and PS in early pandemic have reduced by the third year. As society begins to live with a new COVID-normal, there must be adaptations to maintain PA and promote mental well-being.

Indexed as

college studentsCOVID‐19 pandemicperceived stressphysical activitysitting timetrends

Identifiers

PMID40496782
PMCPMC12039576

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.