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Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application
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 partici...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871971/ https://www.ncbi.nlm.nih.gov/pubmed/35206149 http://dx.doi.org/10.3390/ijerph19041958 |
_version_ | 1784657123300343808 |
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author | Konda, Shoji Ogasawara, Issei Fujita, Kazuki Aoyama, Chisa Yokoyama, Teruki Magome, Takuya Yulong, Chen Hashizume, Ken Matsuo, Tomoyuki Nakata, Ken |
author_facet | Konda, Shoji Ogasawara, Issei Fujita, Kazuki Aoyama, Chisa Yokoyama, Teruki Magome, Takuya Yulong, Chen Hashizume, Ken Matsuo, Tomoyuki Nakata, Ken |
author_sort | Konda, Shoji |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8871971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88719712022-02-25 Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application Konda, Shoji Ogasawara, Issei Fujita, Kazuki Aoyama, Chisa Yokoyama, Teruki Magome, Takuya Yulong, Chen Hashizume, Ken Matsuo, Tomoyuki Nakata, Ken Int J Environ Res Public Health Article 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. MDPI 2022-02-10 /pmc/articles/PMC8871971/ /pubmed/35206149 http://dx.doi.org/10.3390/ijerph19041958 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Konda, Shoji Ogasawara, Issei Fujita, Kazuki Aoyama, Chisa Yokoyama, Teruki Magome, Takuya Yulong, Chen Hashizume, Ken Matsuo, Tomoyuki Nakata, Ken Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application |
title | Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application |
title_full | Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application |
title_fullStr | Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application |
title_full_unstemmed | Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application |
title_short | Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application |
title_sort | variability in physical inactivity responses of university students during covid-19 pandemic: a monitoring of daily step counts using a smartphone application |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871971/ https://www.ncbi.nlm.nih.gov/pubmed/35206149 http://dx.doi.org/10.3390/ijerph19041958 |
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