Validity of maximal oxygen consumption prediction equations in young Saudi females

Marwah M. Almakhaita, Lubna I. Al Asoom, Nazish Rafique, Rabia Latif, Anas M. Alduhishy

Abstract


Objectives: To determine the applicability of Jones, Hansen, and Wasserman predictive equations for maximal oxygen consumption (VO2max) in Saudi females. 

 

Methods: This cross-sectional study was conducted at Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia, between March and May 2017. Maximal oxygen consumption was measured directly through the COSMED system for cardiopulmonary exercise testing in 102 girls with normal body mass index (19-25 years old). Maximal oxygen consumption was indirectly predicted by Jones, Hansen, and Wasserman equations. Paired t-test, Pearson correlation, and Bland-Altman plot were used for comparison, correlation, and agreement analysis.

 

Results: The difference between the mean and standard deviation (±SD) VO2max values of the direct measurement (27.39±4.06 ml/kg−1/min−1), and the Jones (35.19±2.12 ml/kg−1/min−1), Hansen (33.64±0.24 ml/kg−1/min−1), and Wasserman (35.20±0.17 ml/kg−1/min−1) equations, was statistically significant (p less than 0.001). Bland-Altman plot analysis suggested a lack of agreement between direct and predicted VO2max. Pearson correlation failed to reveal any correlation between direct VO2max and VO2max calculated with any of the 3 equations.

 

Conclusion: Jones, Hansen, and Wasserman equations for prediction of VO2max cannot be justified in the studied population. For the better prediction of VO2max, either these equations should be modified, or a new equation should be developed for the Saudi population.


Keywords


Cardiorespiratory fitness; Cardiopulmonary Exercise Test; Bicycle Ergometry Test

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References


American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription. 8th ed. Philadelphia (PA): Lippincott Williams & Wilkins; 2010.

Gupta S, Rohatgi A, Ayers CR, Willis BL, Haskell WL, Khera A, et al. Cardiorespiratory fitness and classification of risk of cardiovascular disease mortality. Circulation 2011; 123: 1377-1383.

World Health Organization. Saudi Arabia [Internet]. WHO; 2016 [Accessed 04 January 2019]. Available from: https://www.who.int/nmh/countries/sau_en.pdf

Fletcher GF, Ades PA, Kligfield P, Arena R, Balady GJ, Bittner VA, et al. Exercise standards for testing and training: a scientific statement from the American Heart Association. Circulation 2013; 128: 873-934.

Aguilaniu B, Wallaert B. [From interpretation of cardiopulmonary exercise testing to medical decision]. Rev Mal Respir 2013; 30: 498-515. French

Coquart J, Tabben M, Farooq A, Tourny C, Eston R. Submaximal, perceptually regulated exercise testing predicts maximal oxygen uptake: A meta-analysis study. Sports Med 2016; 46: 885-897.

Jones NL, Makrides L, Hitchcock C, Chypchar T, McCartney N. Normal standards for an incremental progressive cycle ergometer test. Am Rev Respir Dis 1985; 131: 700-708.

Wasserman K, Hansen JE, Sue DY, Stringer WW, Whipp BJ. Principles exercise testing and interpretation. 4th ed. Philadelphia (PA): Lippincott Williams & Wilkins; 2005. p. 80-81, 160-167.

Hansen JE, Sue DY, Wasserman K. Predicted values for clinical exercise testing. Am Rev Respir Dis 1984; 129: S49-S55.

Suminski RR, Mattern CO, Devor ST. Influence of racial origin and skeletal muscle properties on disease prevalence and physical performance. Sports Med 2002; 32: 667-673.

Pivarnik JM, Bray MS, Hergenroeder AC, Hill RB, Wong WW. Ethnicity affects aerobic fitness in US adolescent girls. Med Sci Sports Exerc 1995; 27: 1635-1638.

McArdle WD, Frank IK, editors. Essentials of Exercise Physiology. Vol 1. 3rd ed. Philadelphia (PA): Lippincott Williams & Wilkins; 2005.

Fulambarker A, Copur AS, Javeri A, Jere S, Cohen ME. Reference values for pulmonary function in Asian Indians living in the United States. Chest 2004; 126: 1225-1233.

Ernesto C, Martins da Silva FM, Pereira LA, de Melo GF. Cross validation of different equations to predict aerobic fitness by the shuttle run 20 meters test in Brazilian students. Journal of Exercise Physiology Online 2015; 18: 46-55.

John N, Thangakunam B, Devasahayam AJ, Peravali V, Christopher DJ. Maximal oxygen uptake is lower for a healthy Indian population compared to white populations. J Cardiopulm Rehabil Prev 2011; 31: 322-327.

Debeaumont D, Tardif C, Folope V, Castres I, Lemaitre F, Tourny C, et al. A specific prediction equation is necessary to estimate peak oxygen uptake in obese patients with metabolic syndrome. J Endocrinol Invest 2016; 39: 635-642.

Wasserman K, Hansen JE, Sue DY, Stringer WW, Sietsema KE, Sun XG, et al. Principles of Exercise Testing and Interpretation: Including Pathophysiology and Clinical Applications. 5th ed. Wolters Kluwer/Lippincott Williams & Wilkins Health; 2011. p. 592.

Wasserman K, Hansen JE, Sue DY, Casaburi R, Whipp BJ. Principles of Exercise Testing and Interpretation: Including Pathophysiology and Clinical Applications. 3rd ed. Philadelphia (PA): Lippincott Williams & Wilkins; 1999.

Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods 2009; 41: 1149-1160.

Al-Asoom LI. Is cardiopulmonary fitness level a risk factor in young Saudi females? [Internet]. [Updated 2015; Accessed 04 January 2019]. Available from: http://webcache.googleusercontent.com/search?q=cache:ajsRYzuVsdIJ:www.jkaumedsci.org.sa/index.php/jkaumedsci/article/download/447/449+&cd=1&hl=ar&ct=clnk&gl=sa&client=firefox-b-d

World Health Organization. WHO Technical Report Series 894. Obesity: preventing and managing the global epidemic. Geneva (CH): WHO. Available from: https://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/

International physical activity questionnaire [Internet]. IPAQ; 2002 [Accessed 2019 January 4]. Available from: https://sites.google.com/site/theipaq/home

Balady GJ, Arena R, Sietsema K, Myers J, Coke L, Fletcher GF, et al. Clinician’s guide to cardiopulmonary exercise testing in adults: a scientific statement from the American Heart Association. Circulation 2010; 122: 191-225.

Kaminsky LA, Imboden MT, Arena R, Myers J. Reference standards for cardiorespiratory fitness measured with cardiopulmonary exercise testing using cycle ergometry: Data from the fitness registry and the importance of exercise national database (FRIEND) registry. Mayo Clin Proc 2017; 92: 228-233.

Sharma M, Kamal RB, Chawla K. Correlation of body composition to aerobic capacity. A cross sectional study. Indian Journal of Applied Research 2016; 2: 38-42.

ACSM. ACSM’s Guidelines for Exercise Testing and Prescription. 9th ed. Philadelphia (PA): Wolters Kluwer/Lippincott Williams & Wilkins Health; 2014. p. 480.

Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-310.

Heyward VH. Advanced Fitness Assessment & Exercise Prescription. 3rd ed. Human Kinetics Pub; 1997. p. 322.

Orr JL, Williamson P, Anderson W, Ross R, McCafferty S, Fettes P. Cardiopulmonary exercise testing: arm crank vs cycle ergometry. Anaesthesia 2013; 68: 497-501.

Irazusta A, Gil S, Ruiz F, Gondra J, Jauregi A, Irazusta J, et al. Exercise, physical fitness, and dietary habits of first-year female nursing students. Biol Res Nurs 2006; 7: 175-186.

Souza e Silva CG, Araújo CG. Sex-specific equations to estimate maximum oxygen uptake in cycle ergometry. Arq Bras Cardiol 2015; 105: 381-389.

Neder JA, Nery LE, Peres C, Whipp BJ. Reference values for dynamic responses to incremental cycle ergometry in males and females aged 20 to 80. Am J Respir Crit Care Med 2001; 164: 1481-1486.

Ahmadian HR, Sclafani JJ, Emmons EE, Morris MJ, Leclerc KM, Slim AM. Comparison of predicted exercise capacity equations and the effect of actual versus ideal body weight among subjects undergoing cardiopulmonary exercise testing. Cardiol Res Pract 2013; 2013: 940170.

Almeida AE, Stefani Cde M, Nascimento JA, Almeida NM, Santos Ada C, Ribeiro JP, et al. An equation for the prediction of oxygen consumption in a Brazilian population. Arq Bras Cardiol 2014; 103: 299-307.

Racil G, Lemaire C, Dubart AE, Debeaumont D, Castres I, Coquart JB. Comparison of specific prediction equations to estimate peak oxygen uptake in obese women. Int J Sports Med 2017; 38: 541-545.

Scott SN, Springer CM, Oody JF, McClanahan MS, Wiseman BD, Kybartas TJ, et al. Development and validation of a PACER prediction equation for VO2peak in 10- to 15-year-old youth. Pediatr Exerc Sci 2019; 31: 223-228.


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