Measurement of various intensities of physical activities and categorization of \u201cLocomotive\u201d and \u201cHousehold\u201d activities provide a subject-specific detailed assessment

Ryuichiro Inaba,Takashi Onuki,Shoji Konda,Issei Ogasawara,Satoshi Yamakawa,Ken Nakata,Yuko Ueda,Seira Sato,Sho Ukimoto,Teruki Yokoyama,Takashi Kanamoto

doi:10.1038/s41598-021-99392-9

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.

Highlights

Physical inactivity is a common health issue for people worldwide[1]
The baseline of METs is set at no activity state with supine posture, and it is described as "1” and/or “sedentary behavior (SB)." based on 1 METs, it is classified into three states: light physical activity (LPA: 1.5–2.9 METs), moderate physical activity (MPA: 3.0–5.9 METs), and vigorous physical activity (VPA: > 6.0 METs)
A strong correlation was found between the step counts and “Locomotive” EE (r = 0.855) (Fig. 3A), whereas a weak correlation was found between the step counts and “Household” EE (r = 0.341) (Fig. 3B)

Summary

Introduction

Physical inactivity is a common health issue for people worldwide[1]. It is well known as a risk factor for developing non-communicable diseases (NCDs), such as coronary heart disease, type 2 diabetes, and breast and colon cancers[2]. The Ministry of Health, Labor and Welfare of Japan recommends performing physical activity (PA) with the same intensity as moderate walking or higher intensity PA for 60 min daily for people aged 18–64 years. It is approximately the same as 8000 to 10 000 steps/day, including low-intensity level w alking[6]. The objectives of the present study were to compare the PA measured by a WSD and the step count data, and to investigate the association between PAs and lifestyle

Objectives

Methods

Results

Conclusion