The non-exercise based prediction equation is widely used to predict cardiorespiratory fitness (CRF), however it has not been validated for the Asian Indian population. To increase the generalisation of the equation we validated it in Asian Indians. 230 participants aged 40-75 years were recruited after excluding any medical illness. Parameters recorded were body mass index, resting heart rate and a self-reported physical activity score questionnaire. CRF was measured using metabolic equivalent at the final speed and grade of treadmill. CRF was also estimated using the non-exercise based prediction equation. The correlation of measured CRF and that calculated through the equation was 0.769 (P<0.001). Paired t-test yielded t=1.207 with a confidence interval of -0.08-0.34, indicating that the equation was statistically significant for our study population. We conclude that the non-exercise based prediction equation is valid in sedentary Asian Indians in the age group of 40-75 years.
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American College of Sports Medicine (ACSM), 2006. ACSM's guidelines for exercise testing and prescription. 7th ed. Lippincott Williams & Wilkins, Philadelphia, PA, USA.
Bertrais, S., Beyeme-Ondoua, J.P., Czernichow, S., Galan, P., Hercberg, S. and Oppert, J.M., 2005. Sedentary behaviours, physical activity and metabolic syndrome in middle aged French subjects. Obesity Research 13: 936-944.
'Sedentary behaviours, physical activity and metabolic syndrome in middle aged French subjects ' () 13 Obesity Research : 936 -944 .
Blair, S.N., Kohl, H.W., Paffenbarger Jr., R.S., Clarke, D.G., Cooper, K.H. and Gibbons, L.W., 1989. Physical fitness and all-cause mortality: a prospective study of healthy men and women. Journal of American Medical Association 262: 2395-2401.
'Physical fitness and all-cause mortality: a prospective study of healthy men and women ' () 262 Journal of American Medical Association : 2395 -2401 .
Conway, T.L. and Cronan, T.A., 1992. Smoking, exercise, and physical fitness. Preventive Medicine 21: 723-734.
'Smoking, exercise, and physical fitness ' () 21 Preventive Medicine : 723 -734 .
Davey, G.J.G., Roberts, J.D., Patel, S., Pierpoint, T., Godsland, I.F., Davies, B. and Mckeigue, P.M., 2000. Effects of exercise on insulin resistance in South Asians and Europeans. Journal of Exercise Physiology online 3(2): 6-11.
'Effects of exercise on insulin resistance in South Asians and Europeans ' () 3 Journal of Exercise Physiology online : 6 -11 .
George, J.D., Stone, W.J. and Burkett, L.N., 1997. Non-exercise VO2max estimation for physically active college students. Medicine and Science in Sports and Exercise 29: 415-423.
'Non-exercise VO2max estimation for physically active college students ' () 29 Medicine and Science in Sports and Exercise : 415 -423 .
Hardy, C.P. and Eston, R.G., 1985. Aerobic fitness of Anglo-Saxon and Indian students. British Journal of Sports Medicine 19: 217-218.
'Aerobic fitness of Anglo-Saxon and Indian students ' () 19 British Journal of Sports Medicine : 217 -218 .
Hill, J. and Timmi, A., 2002. Exercise tolerance testing. British Medical Journal 324: 1084-1087.
'Exercise tolerance testing ' () 324 British Medical Journal : 1084 -1087 .
Jackson, A.S., Blair, S.N., Mahar, M.T., Wier, L.T., Ross, R.M. and Stuteville, J.E., 1990. Prediction of functional aerobic capacity without exercise testing. Medicine and Science in Sports and Exercise 22: 863-870.
'Prediction of functional aerobic capacity without exercise testing ' () 22 Medicine and Science in Sports and Exercise : 863 -870 .
Jurca, R., Jackson, A.S., LaMonte, M.J., Morrow Jr., J.R., Blair. S.N., Wareham, N.J., Haskell, W.L., Van Mechelen, W., Church, T.S., Jakicic, J.M. and Laukkanen, R., 2005. Assessing cardiorespiratory fitness without performing exercise testing. American Journal of Preventive Medicine 29: 185-193.
'Assessing cardiorespiratory fitness without performing exercise testing ' () 29 American Journal of Preventive Medicine : 185 -193 .
Kamath, S.K., Hussain, E.A., Amin, D., Mortillaro, E., West, B., Peterson, C.T., Aryee, F., Murillo, G. and Alekel, D.L., 1999. Cardiovascular disease risk factors in 2 distinct ethnic groups: Indian and Pakistani compared with American premenopausal women. American Journal of Clinical Nutrition 69: 621-631.
'Cardiovascular disease risk factors in 2 distinct ethnic groups: Indian and Pakistani compared with American premenopausal women ' () 69 American Journal of Clinical Nutrition : 621 -631 .
Mailey, E.L., White, S.M., Wójcicki, T.R., Szabo, A.N., Kramer, A.F. and McAuley, E., 2010. Construct validation of a non-exercise measure of cardiorespiratory fitness in older adults. BMC Public Health 10: 59.
'Construct validation of a non-exercise measure of cardiorespiratory fitness in older adults ' () 10 BMC Public Health : 59 .
Miller, T.D., 2008. The exercise treadmill test: estimating cardiovascular prognosis. Cleveland Clinic Journal of Medicine 75: 424-430.
'The exercise treadmill test: estimating cardiovascular prognosis ' () 75 Cleveland Clinic Journal of Medicine : 424 -430 .
Rush, E.C., Goedecke, J.H., Jennings, C., Micklesfield, L., Dugas, L., Lambert, E.V. and Plank, L.D., 2007. BMI, fat and muscle differences in urban women of five ethnicities from two countries. International Journal of Obesity 31: 1232-1239.
'BMI, fat and muscle differences in urban women of five ethnicities from two countries ' () 31 International Journal of Obesity : 1232 -1239 .
Snehlatha, C., Viswanathan, V. and Ramachandran, A., 2003. Cutoff values of normal anthropometric variables in Asian individuals. Diabetes Care 26: 1380-1384.
'Cutoff values of normal anthropometric variables in Asian individuals ' () 26 Diabetes Care : 1380 -1384 .
| All Time | Past 365 days | Past 30 Days | |
|---|---|---|---|
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The non-exercise based prediction equation is widely used to predict cardiorespiratory fitness (CRF), however it has not been validated for the Asian Indian population. To increase the generalisation of the equation we validated it in Asian Indians. 230 participants aged 40-75 years were recruited after excluding any medical illness. Parameters recorded were body mass index, resting heart rate and a self-reported physical activity score questionnaire. CRF was measured using metabolic equivalent at the final speed and grade of treadmill. CRF was also estimated using the non-exercise based prediction equation. The correlation of measured CRF and that calculated through the equation was 0.769 (P<0.001). Paired t-test yielded t=1.207 with a confidence interval of -0.08-0.34, indicating that the equation was statistically significant for our study population. We conclude that the non-exercise based prediction equation is valid in sedentary Asian Indians in the age group of 40-75 years.
| All Time | Past 365 days | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 253 | 89 | 12 |
| Full Text Views | 6 | 0 | 0 |
| PDF Views & Downloads | 4 | 0 | 0 |