Association between Metabolic Syndrome Status and Daily Physical Activity Measured by a Wearable Device in Japanese Office Workers

Yukako Yamaga, Thomas Svensson, Ung Il Chung, Akiko Kishi Svensson

Research output: Contribution to journalArticlepeer-review


(1) Background: This study examined the cross-sectional association between metabolic syndrome (MetS) status classified into three groups and daily physical activity (PA; step count and active minutes) using a wearable device in Japanese office workers. (2) Methods: This secondary analysis used data from 179 participants in the intervention group of a randomized controlled trial for 3 months. Individuals who had received an annual health check-up and had MetS or were at a high risk of MetS based on Japanese guidelines were asked to use a wearable device and answer questionnaires regarding their daily life for the entire study period. Multilevel mixed-effects logistic regression models adjusted for covariates associated with MetS and PA were used to estimate associations. A sensitivity analysis investigated the associations between MetS status and PA level according to the day of the week. (3) Results: Compared to those with no MetS, those with MetS were not significantly associated with PA, while those with pre-MetS were inversely associated with PA [step count Model 3: OR = 0.60; 95% CI: 0.36, 0.99; active minutes Model 3: OR = 0.62; 95% CI: 0.40, 0.96]. In the sensitivity analysis, day of the week was an effect modifier for both PA (p < 0.001). (4) Conclusions: Compared to those with no MetS, those with pre-MetS, but not MetS, showed significantly lower odds of reaching their daily recommended PA level. Our findings suggest that the day of the week could be a modifier for the association between MetS and PA. Further research with longer study periods and larger sample sizes are needed to confirm our results.

Original languageEnglish
Article number4315
JournalInternational Journal of Environmental Research and Public Health
Issue number5
Publication statusPublished - 2023 Mar

Bibliographical note

Funding Information:
This research was funded by the Center of Innovation Program of the Japan Science and Technology Agency, JST (Grant Number JPMJCE1304), and Kanagawa prefecture’s “A project to expand the use of metabolic syndrome risk index in municipalities” (2018).

Publisher Copyright:
© 2023 by the authors.

Subject classification (UKÄ)

  • Environmental Health and Occupational Health

Free keywords

  • active minutes
  • metabolic syndrome
  • physical activity
  • step count
  • wearable device


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