IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i23p12288-d685767.html
   My bibliography  Save this article

Accuracy of Non-Exercise Estimated Cardiorespiratory Fitness in Japanese Adults

Author

Listed:
  • Robert A. Sloan

    (Department of Social and Behavioral Medicine, Kagoshima University, Kagoshima 890-8520, Japan)

  • Marco V. Scarzanella

    (Department of Science and Engineering, Kagoshima University, Kagoshima 890-0065, Japan)

  • Yuko Gando

    (Department of Sport Science, Surugadai University, Hannō 357-8555, Japan)

  • Susumu S. Sawada

    (Department of Sport Sciences, Waseda University, Tokorozawa-shi 359-1192, Japan)

Abstract

Cardiorespiratory fitness (CRF) is an independent predictor of morbidity and mortality. In Japan, annual physical exams are mandatory in workplace settings, and most healthcare settings have electronic medical records (EMRs). However, in both settings, CRF is not usually determined, thereby limiting the potential for epidemiological investigations using EMR data. PURPOSE: To estimate CRF (mL/kg/min) using variables commonly recorded in EMRs. METHODS: Participants were 5293 Japanese adults (11.7% women) who completed an annual physical exam at a large gas company in Tokyo, Japan, in 2004. The mean age was 48.3 ± 8.0 years. Estimated CRF (eCRF) was based on age, measured body mass index, resting heart rate, systolic and diastolic blood pressure, and smoking. Measured CRF was determined by a submaximal cycle ergometer graded exercise test. RESULTS: Regression models were used for males and females to calculate Pearson’s correlation and regression coefficients. Cross-classification of measured CRF and eCRF was conducted using the lowest quintile, quartile, and tertile as the unfit categories. R’s for eCRF were 0.61 (MD 4.41) for men and 0.64 (MD 4.22) for women. The overall accuracy level was reasonable and consistent across models, yet the unfit lower tertile model provided the best overall model when considering the positive predictive value and sensitivity. CONCLUSION: eCRF may provide a useful method for conducting investigations using data derived from EMRs or datasets devoid of CRF or physical activity measures.

Suggested Citation

  • Robert A. Sloan & Marco V. Scarzanella & Yuko Gando & Susumu S. Sawada, 2021. "Accuracy of Non-Exercise Estimated Cardiorespiratory Fitness in Japanese Adults," IJERPH, MDPI, vol. 18(23), pages 1-7, November.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12288-:d:685767
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/23/12288/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/23/12288/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emilian Zadarko & Maria Zadarko-Domaradzka & Zbigniew Barabasz & Marek Sobolewski, 2022. "A Non-Exercise Model for Predicting Cardiovascular Risks among Apparently Healthy Male Office Workers—Cross-Sectional Analysis: A Pilot Study," IJERPH, MDPI, vol. 19(5), pages 1-13, February.

    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:18:y:2021:i:23:p:12288-:d:685767. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.