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Artificial Intelligence in Medicine
Volume 44, Issue 3
, Pages 233-245
, November 2008
Artificial neural network-based equation for estimating VO2max from the 20
m shuttle run test in adolescents
References
- . Maximal oxygen intake as an objective measure of cardio-respiratory performance. J Appl Physiol. 1955;8:73–80
- . Physical fitness in childhood and adolescence: a powerful marker of health. Int J Obes (Lond). 2008;32:1–11
- . A Mediterranean diet is not enough for health: physical fitness is an important additional contributor to health for the adults of tomorrow. World Rev Nutr Diet. 2007;97:114–138
- Aerobic physical fitness in relation to blood lipids and fasting glycaemia in adolescents: influence of weight status. Nutr Metab Cardiovasc Dis. 2006;16:285–293
- . Relations of total physical activity and intensity to fitness and fatness in children: the European Youth Heart Study. Am J Clin Nutr. 2006;84:299–303
- Cardiorespiratory fitness and sedentary activities are associated with adiposity in adolescents. Obesity (Silver Spring). 2007;15:1589–1599
- Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS). Diab Care. 2004;27:2141–2148
- High cardiovascular fitness is associated with low metabolic risk score in children: the European Youth Heart Study. Pediatr Res. 2007;61:350–355
- . Body fat is associated with blood pressure in school-aged girls with low cardiorespiratory fitness: the European Youth Heart Study. J Hypertens. 2007;25:2027–2034
- Cardiovascular fitness is negatively associated with homocysteine levels in female adolescents. Arch Pediatr Adolesc Med. 2007;161:166–171
- Arterial compliance in young children: the role of aerobic fitness. Eur J Cardiovasc Prev Rehabil. 2005;12:492–497
- . Capacity aerobic des Quebecois de 6 a 17 ans - test Navette de 20
metres avec paliers de 1
min. Can J Appl Sport Sci. 1984;9:64–69 - . Secular trends in the performance of children and adolescents (1980–2000): an analysis of 55 studies of the 20
m shuttle run test in 11 countries. Sports Med. 2003;33:285–300 - Council of Europe Committee for the Development of Sport. Eurofit. Handbook for the EUROFIT tests of physical fitness. Rome, Italy: Edigraf editoriale grafica Rome; 1988.
- The Cooper Institute for Aerobics Research. FITNESSGRAM test administration manual. Champaign, IL: Human Kinetics; 1999.
- . The multistage 20
metre shuttle run test for aerobic fitness. J Sports Sci. 1988;6:93–101 - . A preliminary study of the 20-m multistage shuttle run as a predictor of peak VO2 in Hong Kong Chinese students. Pediatr Exerc Sci. 1993;5:42–50
- . Validation of two running tests as estimates of maximal aerobic power in children. Eur J Appl Physiol Occup Physiol. 1986;503–506
- . The 1600-m run and multistage 20-m shuttle run as predictive tests of aerobic capacity in children. Pediat Exerc Sci. 1992;4:312–318
- . The reliability and validity of the 20-meter shuttle test in American students 12 to 15 years old. Res Q Exerc Sport. 1992;63:360–365
- . Comparing two regression formulas that predict VO2 peak using the 20-m shuttle run for children and adolescents. Pediat Exerc Sci. 2002;125–134
- . Measuring aerobic fitness of Hispanic youth 10 to 12 years of age. Int J Sports Med. 2004;25:61–67
- . Development and validation of a regression model to estimate VO2peak from PACER 20-m shuttle run performance. J Phys Act Health. 2006;S34–S46
- . Prediction of maximal aerobic power from the 20-m multi-stage shuttle run test. Can J Appl Physiol. 2003;28:272–282
- . Enhancing the efficacy of the 20
m multistage shuttle run test. Br J Sports Med. 2005;39:166–170 - Validity of the multistage 20-m shuttle-run test for Japanese children, adolescents, and adults. Pediat Exerc Sci. 2004;16:113–125
- . Methodological approaches of health technology assessment. Int J Med Inform. 1999;56:97–105
- . Validation of the Cosmed K4b2 portable metabolic system. Int J Sports Med. 2001;22:280–284
- . Neural networks, a comprehensive foundation. Prentice-Hall; 1999;
- . Learning representations of back-propagation errors. Nature. 1985;323:533–536
- . Machine learning. WCB/McGraw-Hill; 1997;
- . A simple sequentially rejective multiple test procedure. Scand J Statist. 1979;6:65–70
- . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;8:307–310
- . Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet. 1995;346:1085–1087
- Weisstein EW. “P-Value.” From MathWorld—a Wolfram web resource. http://mathworld.wolfram.com/P-Value.html (accessed June 11, 2008).
- . Analysis of agreement between measurements of continuous variables: general principles and lessons from studies of imaging of carotid stenosis. J Neurol. 2000;247:825–834
- . Prediction of maximal oxygen uptake from a 20-m shuttle run as measured directly in runners and squash players. J Sports Sci. 1998;16:331–335
- Low level of physical fitness in Spanish adolescents. Relevance for future cardiovascular health (AVENA Study). Rev Esp Cardiol. 2005;58:898–909
- Anthropometric body fat composition reference values in Spanish adolescents. The AVENA Study. Eur J Clin Nutr. 2006;60:191–196
- . Does gender affect pulmonary function and exercise capacity?. Respir Physiol Neurobiol. 2006;151:124–131
- . Physical fitness and physical activity during adolescence as predictors of cardiovascular disease risk in young adulthood. Danish Youth and Sports Study. An eight-year follow-up study. Int J Sports Med. 2002;23:S27–31
- An accurate VO2max nonexercise regression model for 18–65-year-old adults. Res Q Exerc Sport. 2005;76:426–432
- . Evaluation of growth and development. In: Avner ED, Barratt TM, Holliday MA editor. Pediatric nephrology. 3rd ed.. Philadelphia: Williams & Wilkins; 1994;
- . Association of maturation, sex, and body fat in cardiorespiratory fitness. Am J Hum Biol. 2002;14:707–712
- . The importance of considering biological maturity when assessing physical fitness measures in girls and boys aged 10 to 16 years. Ann Hum Biol. 2000;27:57–65
- . The size-independent oxygen cost of running. Med Sci Sports Exerc. 2003;35:1049–1056
- . Scaling peak VO2 for differences in body size. Med Sci Sports Exerc. 1996;28:259–265
- . Allometric scaling of grip strength by body mass in college-age men and women. Res Q Exerc Sport. 1995;66:80–84
- . Peak VO2 correction for fat-free mass estimated by anthropometry and DEXA. Med Sci Sports Exerc. 2001;33:1968–1975
PII: S0933-3657(08)00084-5
doi: 10.1016/j.artmed.2008.06.004
© 2008 Elsevier B.V. All rights reserved.
« Previous
Next »
Artificial Intelligence in Medicine
Volume 44, Issue 3
, Pages 233-245
, November 2008
