Korean J Sports Med.  2022 Mar;40(1):39-48. 10.5763/kjsm.2022.40.1.39.

Development and Cross-Validation of Non-exercise–based Prediction Equations for Estimating Cardiorespiratory Fitness in Korean College Students

Affiliations
  • 1College of Sports Science, Sungkyunkwan University, Suwon, Korea
  • 2Samsung Training Center, Yongin, Korea

Abstract

Purpose
Non-exercise-based estimation of cardiorespiratory fitness (eCRF) is not available for Korean young adults. This study was to develop an eCRF regression equation and to validate its accuracy in Korean college students.
Methods
Subjects were undergraduate students (n=1,319; female, 219) who participated in the assessment of physical fitness and risk factors at our institute. Using a random sampling method, 70% of the subjects were selected and used to develop prediction equations for estimating CRF, and 30% of the subjects were used to verify the accuracy of the equations for CRF. Body mass index (BMI), percent body fat, waist circumference (WC), physical activity, smoking, and resting heart rate were measured as covariates. CRF was assessed as minute volume of maximal oxygen consumption (VO 2max) with a graded exercise test. Prediction equations for CRF were derived using stepwise linear regressions. The differences between measured and estimated VO 2max values were verified by using paired t-test and Bland-Altman plots.
Results
The coefficients of determination (R2 ) of BMI, % body fat, and WC-based regression models were 0.502, 0.514, and 0.518, respectively. The standard errors of estimate for BMI, % body fat, and WC regression models were 5.55, 5.48, and 5.46, respectively. In the validation study, no significant differences between estimated and measured VO 2max values were found in BMI (p=0.971), % body fat (p=0.877), and WC (p=0.817)-based regression models.
Conclusion
The current findings of the study suggest that CRF can be estimated from non-exercise healthrelated parameters with an acceptable accuracy in Korean college students.

Keyword

Cardiorespiratory fitness; Physical activity; Prediction; Accuracy; Young adults

Figure

  • Fig. 1 Scatter plots for correlation between measured and estimated volume of maximal oxygen consumption (VO2max). (A) Body mass index model, (B) % body fat model, and (C) waist circumference model using the derivation subjects.

  • Fig. 2 Bland-Altman plots for comparing measured and estimated volume of maximal oxygen consumption (VO2max). (A) Body mass index model, (B) % body fat model, and (C) waist circumference model using the cross-validation set. SD: standard deviation.


Cited by  1 articles

Association between Estimated Cardiorespiratory Fitness and Insulin Resistance in Korean Adults: Results from the Korea National Health and Nutrition Survey 2019–2021
Yunmin Han, Yeonsoo Kim
Korean J Sports Med. 2023;41(4):233-240.    doi: 10.5763/kjsm.2023.41.4.233.


Reference

1. Blair SN, Kohl HW 3rd, Barlow CE, Paffenbarger RS Jr, Gibbons LW, Macera CA. 1995; Changes in physical fitness and all-cause mortality. A prospective study of healthy and unhealthy men. JAMA. 273:1093–8. DOI: 10.1001/jama.1995.03520380029031. PMID: 7707596.
2. Lee DC, Artero EG, Sui X, Blair SN. 2010; Mortality trends in the general population: the importance of cardiorespiratory fitness. J Psychopharmacol. 24(4 Suppl):27–35. DOI: 10.1177/1359786810382057. PMID: 20923918. PMCID: PMC2951585.
Article
3. Wang CY, Haskell WL, Farrell SW, et al. 2010; Cardiorespiratory fitness levels among US adults 20-49 years of age: findings from the 1999-2004 National Health and Nutrition Examination Survey. Am J Epidemiol. 171:426–35. DOI: 10.1093/aje/kwp412. PMID: 20080809.
Article
4. Sanders LF, Duncan GE. 2006; Population-based reference standards for cardiovascular fitness among U.S. adults: NHANES 1999-2000 and 2001-2002. Med Sci Sports Exerc. 38:701–7. DOI: 10.1249/01.mss.0000210193.49210.b5. PMID: 16679986.
5. Lin X, Zhang X, Guo J, et al. 2015; Effects of exercise training on cardiorespiratory fitness and biomarkers of cardiometabolic health: a systematic review and meta-analysis of randomized controlled trials. J Am Heart Assoc. 4:e002014. DOI: 10.1161/JAHA.115.002014. PMID: 26116691. PMCID: PMC4608087.
Article
6. Liu J, Sui X, Lavie CJ, et al. 2014; Effects of cardiorespiratory fitness on blood pressure trajectory with aging in a cohort of healthy men. J Am Coll Cardiol. 64:1245–53. DOI: 10.1016/j.jacc.2014.06.1184. PMID: 25236517. PMCID: PMC4171684.
7. Al-Mallah MH, Sakr S, Al-Qunaibet A. 2018; Cardiorespiratory fitness and cardiovascular disease prevention: an update. Curr Atheroscler Rep. 20:1. DOI: 10.1007/s11883-018-0711-4. PMID: 29340805.
Article
8. Laukkanen JA, Zaccardi F, Khan H, Kurl S, Jae SY, Rauramaa R. 2016; Long-term change in cardiorespiratory fitness and all-cause mortality: a population-based follow-up study. Mayo Clin Proc. 91:1183–8. DOI: 10.1016/j.mayocp.2016.05.014. PMID: 27444976.
9. Imboden MT, Harber MP, Whaley MH, Finch WH, Bishop DL, Kaminsky LA. 2018; Cardiorespiratory fitness and mortality in healthy men and women. J Am Coll Cardiol. 72:2283–92. DOI: 10.1016/j.jacc.2018.08.2166. PMID: 30384883.
Article
10. Arena R, Myers J, Williams MA, et al. 2007; Assessment of functional capacity in clinical and research settings: a scientific statement from the American Heart Association Committee on Exercise, Rehabilitation, and Prevention of the Council on Clinical Cardiology and the Council on Cardiovascular Nursing. Circulation. 116:329–43. DOI: 10.1161/CIRCULATIONAHA.106.184461. PMID: 17576872.
Article
11. Kaminsky LA, Arena R, Beckie TM, et al. 2013; The importance of cardiorespiratory fitness in the United States: the need for a national registry: a policy statement from the American Heart Association. Circulation. 127:652–62. DOI: 10.1161/CIR.0b013e31827ee100. PMID: 23295916.
Article
12. Mailey EL, White SM, Wójcicki TR, Szabo AN, Kramer AF, McAuley E. 2010; Construct validation of a non-exercise measure of cardiorespiratory fitness in older adults. BMC Public Health. 10:59. DOI: 10.1186/1471-2458-10-59. PMID: 20144197. PMCID: PMC2831835.
Article
13. Myers J, Kaminsky LA, Lima R, Christle JW, Ashley E, Arena R. 2017; A reference equation for normal standards for VO2 max: analysis from the Fitness Registry and the Importance of Exercise National Database (FRIEND Registry). Prog Cardiovasc Dis. 60:21–9. DOI: 10.1016/j.pcad.2017.03.002. PMID: 28377168.
14. Martinez-Gomez D, Guallar-Castillón P, Hallal PC, Lopez-Garcia E, Rodríguez-Artalejo F. 2015; Nonexercise cardiorespiratory fitness and mortality in older adults. Med Sci Sports Exerc. 47:568–74. DOI: 10.1249/MSS.0000000000000435. PMID: 25003774.
Article
15. Zhang Y, Zhang J, Zhou J, et al. 2017; Nonexercise estimated cardiorespiratory fitness and mortality due to all causes and cardiovascular disease: the NHANES III Study. Mayo Clin Proc Innov Qual Outcomes. 1:16–25. DOI: 10.1016/j.mayocpiqo.2017.04.007. PMID: 30225398. PMCID: PMC6135017.
Article
16. Stamatakis E, Hamer M, O'Donovan G, Batty GD, Kivimaki M. 2013; A non-exercise testing method for estimating cardiorespiratory fitness: associations with all-cause and cardiovascular mortality in a pooled analysis of eight population-based cohorts. Eur Heart J. 34:750–8. DOI: 10.1093/eurheartj/ehs097. PMID: 22555215. PMCID: PMC3590456.
Article
17. Wang Y, Chen S, Lavie CJ, Zhang J, Sui X. 2019; An overview of non-exercise estimated cardiorespiratory fitness: estimation equations, cross-validation and application. J Sci Sport Exercise. 1:38–53. DOI: 10.1007/s42978-019-0003-x.
Article
18. Peterman JE, Harber MP, Imboden MT, et al. 2020; Accuracy of nonexercise prediction equations for assessing longitudinal changes to cardiorespiratory fitness in apparently healthy adults: BALL ST Cohort. J Am Heart Assoc. 9:e015117. DOI: 10.1161/JAHA.119.015117. PMID: 32458761. PMCID: PMC7428991.
Article
19. Wier LT, Jackson AS, Ayers GW, Arenare B. 2006; Nonexercise models for estimating VO2max with waist girth, percent fat, or BMI. Med Sci Sports Exerc. 38:555–61. DOI: 10.1249/01.mss.0000193561.64152. PMID: 16540845.
Article
20. Jackson AS, Sui X, O'Connor DP, et al. 2012; Longitudinal cardiorespiratory fitness algorithms for clinical settings. Am J Prev Med. 43:512–9. DOI: 10.1016/j.amepre.2012.06.032. PMID: 23079174. PMCID: PMC3479664.
Article
21. Baynard T, Arena RA, Myers J, Kaminsky LA. 2016; The role of body habitus in predicting cardiorespiratory fitness: the FRIEND Registry. Int J Sports Med. 37:863–9. DOI: 10.1055/s-0042-110572. PMID: 27490112. PMCID: PMC5580237.
Article
22. Song M, Lee I, Kang H. 2019; Cardiorespiratory fitness without exercise testing can predict all-cause mortality risk in a representative sample of Korean older adults. Int J Environ Res Public Health. 16:1633. DOI: 10.3390/ijerph16091633. PMID: 31083309. PMCID: PMC6539211.
Article
23. World Health Organization (WHO). 2010. Global recommendations on physical activity for health [Internet]. WHO;Geneva: Available from: https://www.ncbi.nlm.nih.gov/books/NBK305057/. cited 2021 Nov 1.
24. Ainsworth BE, Haskell WL, Whitt MC, et al. 2000; Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 32(9 Suppl):S498–504. DOI: 10.1097/00005768-200009001-00009. PMID: 10993420.
Article
25. Fletcher GF, Ades PA, Kligfield P, et al. 2013; Exercise standards for testing and training: a scientific statement from the American Heart Association. Circulation. 128:873–934. DOI: 10.1161/CIR.0b013e31829b5b44. PMID: 23877260.
26. Howley ET, Bassett DR Jr, Welch HG. 1995; Criteria for maximal oxygen uptake: review and commentary. Med Sci Sports Exerc. 27:1292–301. DOI: 10.1249/00005768-199509000-00009. PMID: 8531628.
27. Jurca R, Jackson AS, LaMonte MJ, et al. 2005; Assessing cardiorespiratory fitness without performing exercise testing. Am J Prev Med. 29:185–93. DOI: 10.1016/j.amepre.2005.06.004. PMID: 16168867.
Article
28. Nes BM, Janszky I, Vatten LJ, Nilsen TI, Aspenes ST, Wisløff U. 2011; Estimating V·O 2peak from a nonexercise predic-tion model: the HUNT Study, Norway. Med Sci Sports Exerc. 43:2024–30. DOI: 10.1249/MSS.0b013e31821d3f6f. PMID: 21502897.
29. Schembre SM, Riebe DA. 2011; Non-exercise estimation of VO(2)max using the International Physical Activity Question-naire. Meas Phys Educ Exerc Sci. 15:168–81. DOI: 10.1080/1091367X.2011.568369. PMID: 21927551. PMCID: PMC3173948.
30. Sloan RA, Haaland BA, Leung C, Padmanabhan U, Koh HC, Zee A. 2013; Cross-validation of a non-exercise measure for cardiorespiratory fitness in Singaporean adults. Singapore Med J. 54:576–80. DOI: 10.11622/smedj.2013186. PMID: 24154583.
Article
Full Text Links
  • KJSM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr