Measurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment
Abstract This study aimed to compare the physical activity (PA) measured by a wearable sensor device (WSD) and the step count measurement, and to investigate the association between PAs and lifestyle. Data of 301 participants were collected from March 2019 to March 2021. Step counts, sedentary behav...
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Nature Portfolio
2021
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oai:doaj.org-article:7c3bea460d9444a1be80c3008587c1e62021-11-14T12:21:18ZMeasurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment10.1038/s41598-021-99392-92045-2322https://doaj.org/article/7c3bea460d9444a1be80c3008587c1e62021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99392-9https://doaj.org/toc/2045-2322Abstract This study aimed to compare the physical activity (PA) measured by a wearable sensor device (WSD) and the step count measurement, and to investigate the association between PAs and lifestyle. Data of 301 participants were collected from March 2019 to March 2021. Step counts, sedentary behavior, performance time of light/moderate/vigorous PA, METs × hour of “Locomotive” and “Household” categorized activities, and energy expenditure (EE) were measured by the WSD, respectively. Furthermore, the participants were classified into student, standing worker, and sitting worker groups. Data were analyzed using the Steel–Dwass and Pearson correlation coefficient tests. The correlation between the performance time of each PA and step count was weak, except for moderate PA. “Household” EE and step count also had a weak correlation. In the comparison of lifestyle, there was a significant difference in the mean performance time of each type of PA between the groups. Additionally, the standing worker and sitting worker groups had a significant difference in METs × hour of "Household" activities, indicating that the difference between the occupations is reflected in “Household” activities. The WSD measurement can be used to evaluate detailed individual PA, whereas the step count measurement showed weakness in the PA estimation.Ryuichiro InabaSatoshi YamakawaTakashi KanamotoSho UkimotoSeira SatoIssei OgasawaraShoji KondaTeruki YokoyamaYuko UedaTakashi OnukiKen NakataNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Ryuichiro Inaba Satoshi Yamakawa Takashi Kanamoto Sho Ukimoto Seira Sato Issei Ogasawara Shoji Konda Teruki Yokoyama Yuko Ueda Takashi Onuki Ken Nakata Measurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment |
| description |
Abstract This study aimed to compare the physical activity (PA) measured by a wearable sensor device (WSD) and the step count measurement, and to investigate the association between PAs and lifestyle. Data of 301 participants were collected from March 2019 to March 2021. Step counts, sedentary behavior, performance time of light/moderate/vigorous PA, METs × hour of “Locomotive” and “Household” categorized activities, and energy expenditure (EE) were measured by the WSD, respectively. Furthermore, the participants were classified into student, standing worker, and sitting worker groups. Data were analyzed using the Steel–Dwass and Pearson correlation coefficient tests. The correlation between the performance time of each PA and step count was weak, except for moderate PA. “Household” EE and step count also had a weak correlation. In the comparison of lifestyle, there was a significant difference in the mean performance time of each type of PA between the groups. Additionally, the standing worker and sitting worker groups had a significant difference in METs × hour of "Household" activities, indicating that the difference between the occupations is reflected in “Household” activities. The WSD measurement can be used to evaluate detailed individual PA, whereas the step count measurement showed weakness in the PA estimation. |
| format |
article |
| author |
Ryuichiro Inaba Satoshi Yamakawa Takashi Kanamoto Sho Ukimoto Seira Sato Issei Ogasawara Shoji Konda Teruki Yokoyama Yuko Ueda Takashi Onuki Ken Nakata |
| author_facet |
Ryuichiro Inaba Satoshi Yamakawa Takashi Kanamoto Sho Ukimoto Seira Sato Issei Ogasawara Shoji Konda Teruki Yokoyama Yuko Ueda Takashi Onuki Ken Nakata |
| author_sort |
Ryuichiro Inaba |
| title |
Measurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment |
| title_short |
Measurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment |
| title_full |
Measurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment |
| title_fullStr |
Measurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment |
| title_full_unstemmed |
Measurement of various intensities of physical activities and categorization of “Locomotive” and “Household” activities provide a subject-specific detailed assessment |
| title_sort |
measurement of various intensities of physical activities and categorization of “locomotive” and “household” activities provide a subject-specific detailed assessment |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/7c3bea460d9444a1be80c3008587c1e6 |
| work_keys_str_mv |
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