Evidence map›Paper›PMID 35206149›Full record

ArticleInternational journal of environmental research and public health2022

Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application.

Shoji Konda, Issei Ogasawara, Kazuki Fujita, Chisa Aoyama, Teruki Yokoyama, Takuya Magome, Chen Yulong, Ken Hashizume, Tomoyuki Matsuo, Ken Nakata

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Shoji KondaDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.ORCID 0000-0002-8252-7281
Issei OgasawaraDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.ORCID 0000-0003-4176-689X
Kazuki FujitaDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.ORCID 0000-0001-6292-8216
Chisa AoyamaDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.
Teruki YokoyamaDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.
Takuya MagomeDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.
Chen YulongCenter for Education in Liberal Arts and Sciences, Osaka University, Suita 5600043, Japan.
Ken HashizumeDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.
Tomoyuki MatsuoDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.
Ken NakataDepartment of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Suita 5650871, Japan.

Funding

Ministry of Education, Culture, Sports, Science and Technology, Japan JPMXP0518071489
6 · The paper itself

Abstract

This study investigated the changes in physical inactivity of university students during the COVID-19 pandemic, with reference to their academic calendar. We used the daily step counts recorded by a smartphone application (iPhone Health App) from April 2020 to January 2021 (287 days) for 603 participants. The data for 287 days were divided into five periods based on their academic calendar. The median value of daily step counts across each period was calculated. A k-means clustering analysis was performed to classify the 603 participants into subgroups to demonstrate the variability in the physical inactivity responses. The median daily step counts, with a 7-day moving average, dramatically decreased from 5000 to 2000 steps/day in early April. It remained at a lower level (less than 2000 steps/day) during the first semester, then increased to more than 5000 steps/day at the start of summer vacation. The clustering analysis demonstrated the variability in physical inactivity responses. The inactive students did not recover daily step counts throughout the year. Consequently, promoting physical activity is recommended for inactive university students over the course of the whole semester.

Indexed as

COVID-19Mobile ApplicationsHumansPandemicsSARS-CoV-2Sedentary BehaviorSmartphoneStudentsUniversitiesacademic calendarclustering analysishealth promotionmobile sensingonline classphysical activity

Identifiers

PMID35206149
PMCPMC8871971

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.