Evidence map›Paper›PMID 35677274›Full record

ArticleJournal of education and health promotion2022

Physical activity patterns of university students during the COVID-19 pandemic: The impact of state anxiety.

Youssra Amekran, Abdelkader Jalil El Hangouche

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2022. 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
0.5field-weighted citation impact, top 38% of its field
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, 4 citations in OpenAlex.

  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

2 authors at 2 institutions in 1 country.

Youssra AmekranDepartment of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco.
Abdelkader Jalil El HangoucheDepartment of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco.
Abdelmalek Essaâdi University · MAMohammed V University · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease (COVID-19) and resulting restrictions have impacted populations' lifestyles and posed a challenge regarding their behaviors, including physical activity (PA). This study aimed to evaluate PA patterns of university students during the COVID-19 outbreak. We also analyzed the association of participants' characteristics, including their level of anxiety, under the pandemic conditions, with adherence to the world health organization (WHO) recommendations for PA. MATERIALS AND

methodsThis cross-sectional study comprised 717 Moroccan university students recruited during the COVID-19 pandemic. The Global Physical Activity Questionnaire (GPAQ V.2) was used to evaluate PA. Data on sociodemographic characteristics and anxiety levels were also collected. Anxiety was assessed using State-Trait Anxiety Inventory (STAI). Descriptive and inferential statistical analysis was carried out. The association between participants' characteristics and PA was studied using regression models.

resultsOf all participants, 33.2% did not achieve the recommended levels of PA. The daily median (25

conclusionThe reported PA patterns of university students during the current outbreak should be taken into account and evoke the necessity of encouraging this population to adhere to the recommended PA levels. Targeting state anxiety related to the conditions we are facing may have a promising effect on the promotion of PA.

Indexed as

AnxietyCOVID-19physical activity

Identifiers

PMID35677274
PMCPMC9170195
OpenAlexW4285740229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.