Nonexercise Equations for Determining Change in Cardiorespiratory Fitness

被引:5
|
作者
De Lannoy, Louise [1 ]
Ross, Robert [1 ,2 ]
机构
[1] Queens Univ, Sch Kinesiol & Hlth Studies, 28 Div St, Kingston, ON K7L 3N6, Canada
[2] Queens Univ, Sch Med, Div Endocrinol & Metab, Kingston, ON, Canada
来源
基金
加拿大健康研究院;
关键词
EXERCISE AMOUNT; EXERCISE INTENSITY; RANDOMIZED CONTROLLED TRIAL; SEDENTARY ADULTS; PHYSICAL-ACTIVITY; WAIST CIRCUMFERENCE; ABDOMINAL OBESITY; EXERCISE; VO2MAX; PREDICTION; MODEL; ASSOCIATION; MORTALITY; VALIDITY;
D O I
10.1249/MSS.0000000000002284
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Purpose This study aimed to determine whether change in estimated cardiorespiratory fitness (eCRF) is associated with change in measured cardiorespiratory fitness (mCRF) independent of exercise amount and intensity over 24 wk. Methods Participants were 163 sedentary adults with abdominal obesity (mean +/- SD waist circumference, 109.9 +/- 11.5 cm) randomly assigned to (i) no-exercise control (n= 42); (ii) low-amount, low-intensity exercise (LALI;n= 39); (iii) high-amount, low-intensity exercise (HALI;n= 51); and (iv) high-amount, high-intensity exercise (HAHI;n= 31). mCRF was measured using a maximal treadmill test at baseline, 8, 16, and 24 wk. eCRF was calculated using a published nonexercise equation with the following variables: sex, age, waist circumference, resting heart rate, and self-selected physical activity. Results Participants attended 115 of 120 exercise sessions prescribed (96.0% +/- 4.0% adherence). eCRF change from baseline to 8, 16, and 24 wk was not different from mCRF change for control, LALI, or HALI (P= 0.03). In HAHI, eCRF change was significantly greater than mCRF change at all time points (P< 0.001). Further analysis revealed that change in eCRF systematically overestimated and underestimated small and large changes in mCRF, respectively, in all groups (P< 0.001). Conclusions eCRF change was associated with mCRF change at 24 wk independent of exercise amount but not intensity. Systematic variation between eCRF and mCRF highlights a possible limitation when using eCRF to follow change in mCRF, specifically that eCRF does not capture the individual variability of the mCRF response.
引用
收藏
页码:1525 / 1531
页数:7
相关论文
共 50 条
  • [1] Non-exercise Equations For Determining Change In Cardiorespiratory Fitness
    Soni, Simrat
    de Lannoy, Louise
    Ross, Robert
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2020, 52 (07) : 505 - 505
  • [2] Nonexercise Cardiorespiratory Fitness and Mortality in Older Adults
    Martinez-Gomez, David
    Guallar-Castillon, Pilar
    Hallal, Pedro C.
    Lopez-Garcia, Esther
    Rodriguez-Artalejo, Fernando
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2015, 47 (03): : 568 - 574
  • [3] A Nonexercise Estimate of Cardiorespiratory Fitness Using a Symptom Questionnaire and Clinical Variables
    Myers, Jonathan
    Chan, Khin
    Tan, Isabelle M. C.
    Bail, Nicholas
    Kamil-Rosenberg, Shirit
    Zell, Hunter
    Waheed, Tabbasum
    Mathew, Pooja
    JOURNAL OF CARDIOPULMONARY REHABILITATION AND PREVENTION, 2022, 42 (04) : 278 - 285
  • [4] A Nonexercise Prediction Equation For Cardiorespiratory Fitness Without The Use Of Physical Activity
    Sloan, Robert A.
    Visentini-Scarzanella, Marco
    Sawada, Susumu S.
    Sui, Xuemei
    Myers, Jonathan N.
    Blair, Steven N.
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2020, 52 (07) : 477 - 478
  • [5] Racial Differences in the Association Between Nonexercise Estimated Cardiorespiratory Fitness and Incident Stroke
    Sui, Xuemei
    Howard, Virginia J.
    McDonnell, Michelle N.
    Ernstsen, Linda
    Flaherty, Matthew L.
    Hooker, Steven P.
    Lavie, Carl J.
    MAYO CLINIC PROCEEDINGS, 2018, 93 (07) : 884 - 894
  • [6] Accuracy of Nonexercise Prediction Equations for Assessing Longitudinal Changes to Cardiorespiratory Fitness in Apparently Healthy Adults: BALL ST Cohort
    Peterman, James E.
    Harber, Matthew P.
    Imboden, Mary T.
    Whaley, Mitchell H.
    Fleenor, Bradley S.
    Myers, Jonathan
    Arena, Ross
    Finch, W. Holmes
    Kaminsky, Leonard A.
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2020, 9 (11):
  • [7] A Simple Nonexercise Model of Cardiorespiratory Fitness Predicts Long-Term Mortality
    Nes, Bjarne Martens
    Vatten, Lars J.
    Nauman, Javaid
    Janszky, Imre
    Wislkff, Ulrik
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2014, 46 (06): : 1159 - 1165
  • [8] Nonexercise Estimated Cardiorespiratory Fitness and All-Cancer Mortality: the NHANES III Study
    Wang, Ying
    Chen, Shujie
    Zhang, Jiajia
    Zhang, Yanan
    Ernstsen, Linda
    Lavie, Carl J.
    Hooker, Steven P.
    Chen, Yuhui
    Sui, Xuemei
    MAYO CLINIC PROCEEDINGS, 2018, 93 (07) : 848 - 856
  • [9] Nonexercise Equations to Estimate Fitness in White European and South Asian Men
    O'Donovan, Gary
    Bakrania, Kishan
    Ghouri, Nazim
    Yates, Thomas
    Gray, Laura J.
    Hamer, Mark
    Stamatakis, Emmanuel
    Khunti, Kamlesh
    Davies, Melanie
    Sattar, Naveed
    Gill, Jason M. R.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (05): : 854 - 859
  • [10] A Simple Nonexercise Model of Cardiorespiratory Fitness Predicts Long-Term Mortality (vol 46, pg 1159, 2014)
    Nes, B. M.
    Vatten, L. J.
    Nauman, J.
    Janszky, I
    Wisloff, U.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2020, 52 (06): : 1440 - 1440