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

Author

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  • Yukako Yamaga

    (Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
    Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki 210-0821, Japan)

  • Thomas Svensson

    (Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
    Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki 210-0821, Japan
    Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 205 02 Malmö, Sweden)

  • Ung-il Chung

    (Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
    Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki 210-0821, Japan
    Clinical Biotechnology, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8656, Japan)

  • Akiko Kishi Svensson

    (Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
    Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 205 02 Malmö, Sweden
    Department of Diabetes and Metabolic Diseases, The University of Tokyo, Tokyo 113-0033, Japan)

Abstract

(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.

Suggested Citation

  • Yukako Yamaga & Thomas Svensson & Ung-il Chung & Akiko Kishi Svensson, 2023. "Association between Metabolic Syndrome Status and Daily Physical Activity Measured by a Wearable Device in Japanese Office Workers," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4315-:d:1083310
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    References listed on IDEAS

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    1. Chelsea Carpenter & Chih-Hsiang Yang & Delia West, 2021. "A Comparison of Sedentary Behavior as Measured by the Fitbit and ActivPAL in College Students," IJERPH, MDPI, vol. 18(8), pages 1-9, April.
    2. Laura Gallardo-Alfaro & Maria del Mar Bibiloni & David Mateos & Lucía Ugarriza & Josep A. Tur, 2019. "Leisure-Time Physical Activity and Metabolic Syndrome in Older Adults," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    3. Antonio Garriga & Nuria Sempere-Rubio & María José Molina-Prados & Raquel Faubel, 2021. "Impact of Seasonality on Physical Activity: A Systematic Review," IJERPH, MDPI, vol. 19(1), pages 1-22, December.
    4. Raphael Gonçalves de Oliveira & Dartagnan Pinto Guedes, 2016. "Physical Activity, Sedentary Behavior, Cardiorespiratory Fitness and Metabolic Syndrome in Adolescents: Systematic Review and Meta-Analysis of Observational Evidence," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-24, December.
    5. Rina So & Tomoaki Matsuo, 2020. "The Effect of Domain-Specific Sitting Time and Exercise Habits on Metabolic Syndrome in Japanese Workers: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(11), pages 1-11, May.
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