IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4315-d1083310.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4315/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/5/4315/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hongjun Yu & Yiling Song & Yangyang Wang & Xiaoxin Wang & Haoxuan Li & Xiaolu Feng & Miao Yu, 2023. "The Impact of Temperature on 24-Hour Movement Behaviors among Chinese Freshmen Students," IJERPH, MDPI, vol. 20(6), pages 1-14, March.
    2. Fabio Jiménez-Zazo & Cristina Romero-Blanco & Esther Cabanillas & Asier Mañas & José A. Casajús & Narcís Gusi & Eva Gesteiro & Marcela González-Gross & José-Gerardo Villa-Vicente & Luis Espino-Toron &, 2022. "Differences among Sociodemographic Variables, Physical Fitness Levels, and Body Composition with Adherence to Regular Physical Activity in Older Adults from the EXERNET Multicenter Study," IJERPH, MDPI, vol. 19(7), pages 1-9, March.
    3. Manuel Ávila-García & Nuria Baena-Ogalla & Francisco Javier Huertas-Delgado & Pablo Tercedor & Emilio Villa-González, 2020. "The Relationship between Physical Activity Levels, Cardiorespiratory Fitness and Academic Achievement School-Age Children from Southern Spain," Sustainability, MDPI, vol. 12(8), pages 1-11, April.
    4. Jose Manuel Jurado-Castro & Mercedes Gil-Campos & Hugo Gonzalez-Gonzalez & Francisco Jesus Llorente-Cantarero, 2020. "Evaluation of Physical Activity and Lifestyle Interventions Focused on School Children with Obesity Using Accelerometry: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(17), pages 1-14, August.
    5. Muhammad Daniel Azlan Mahadzir & Kia Fatt Quek & Amutha Ramadas, 2020. "Process Evaluation of a Nutrition and Lifestyle Behavior Peer Support Program for Adults with Metabolic Syndrome," IJERPH, MDPI, vol. 17(8), pages 1-13, April.
    6. Yohannes Woldamanuel & Patrick Bergman & Philip von Rosen & Unn-Britt Johansson & Maria Hagströmer & Jenny Rossen, 2024. "Association between Weather and Self-Monitored Steps in Individuals with Prediabetes and Type 2 Diabetes in Sweden over Two Years," IJERPH, MDPI, vol. 21(4), pages 1-10, March.
    7. Xiao Hou & Jing-Min Liu & Zheng-Yan Tang & Bing Ruan & Xu-Yao Cao, 2020. "The Gender Difference in Association between Home-Based Environment and Different Physical Behaviors of Chinese Adolescents," IJERPH, MDPI, vol. 17(21), pages 1-15, November.
    8. Damir Sekulic & Mateo Blazevic & Barbara Gilic & Ivan Kvesic & Natasa Zenic, 2020. "Prospective Analysis of Levels and Correlates of Physical Activity during COVID-19 Pandemic and Imposed Rules of Social Distancing; Gender Specific Study among Adolescents from Southern Croatia," Sustainability, MDPI, vol. 12(10), pages 1-13, May.
    9. Simon Kolb & Alexander Burchartz & Doris Oriwol & Steffen C. E. Schmidt & Alexander Woll & Claudia Niessner, 2021. "Indicators to Assess Physical Health of Children and Adolescents in Activity Research—A Scoping Review," IJERPH, MDPI, vol. 18(20), pages 1-13, October.
    10. Veerle Van Oeckel & Benedicte Deforche & Nicola D. Ridgers & Elling Bere & Maïté Verloigne, 2020. "Validity of Items Assessing Self-Reported Number of Breaks in Sitting Time among Children and Adolescents," IJERPH, MDPI, vol. 17(18), pages 1-8, September.
    11. Fiona Curran & Kieran P. Dowd & Casey L. Peiris & Hidde P. van der Ploeg & Mark S. Tremblay & Grainne O’Donoghue, 2022. "A Standardised Core Outcome Set for Measurement and Reporting Sedentary Behaviour Interventional Research: The CROSBI Consensus Study," IJERPH, MDPI, vol. 19(15), pages 1-15, August.
    12. Caren Alvarado & Matías Castillo-Aguilar & Valeska Villegas & Claudia Estrada Goic & Katherine Harris & Patricio Barria & Michele M. Moraes & Thiago T. Mendes & Rosa M. E. Arantes & Pablo Valdés-Badil, 2023. "Physical Activity, Seasonal Sensitivity and Psychological Well-Being of People of Different Age Groups Living in Extreme Environments," IJERPH, MDPI, vol. 20(3), pages 1-10, January.
    13. Agata Gaździńska & Paweł Jagielski & Marta Turczyńska & Łukasz Dziuda & Stefan Gaździński, 2022. "Assessment of Risk Factors for Development of Overweight and Obesity among Soldiers of Polish Armed Forces Participating in the National Health Programme 2016–2020," IJERPH, MDPI, vol. 19(5), pages 1-12, March.
    14. Kuska Michalina & Nowak Maria A. & Żukowska Hanna & Pasek Marcin & Szark-Eckardt Mirosława, 2023. "Intensity of Physical Activity and Quality of Life Among Older Adults," Polish Journal of Sport and Tourism, Sciendo, vol. 30(4), pages 38-44, December.
    15. Davy Vancampfort & Tine Van Damme & Joseph Firth & Mats Hallgren & Lee Smith & Brendon Stubbs & Simon Rosenbaum & Ai Koyanagi, 2019. "Correlates of leisure-time sedentary behavior among 181,793 adolescents aged 12-15 years from 66 low- and middle-income countries," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-14, November.
    16. Oliver W. A. Wilson & Hamish McEwen & Paul Kelly & Justin Richards, 2022. "Declines in Physical Activity among New Zealand Adults during the COVID-19 Pandemic: Longitudinal Analyses of Five Data Waves from Pre-Pandemic through April 2021," IJERPH, MDPI, vol. 19(7), pages 1-9, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4315-:d:1083310. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.