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European Journal of Applied Physiology

Erschienen in:

01.01.2009 | Original Article

Prediction of VO_2max with daily step counts for Japanese adult women

verfasst von: Zhen-Bo Cao, Nobuyuki Miyatake, Mitsuru Higuchi, Kazuko Ishikawa-Takata, Motohiko Miyachi, Izumi Tabata

Erschienen in: European Journal of Applied Physiology | Ausgabe 2/2009

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Abstract

The purpose of the study was to develop a new non-exercise VO_2max prediction model using a physical activity (PA) variable determined by pedometer-determined step counts (SC, steps day⁻¹) in Japanese women aged 20–69 years old. Eighty-seven and 102 subjects were used to develop the prediction model, and to validate the new model, respectively. VO_2max was measured using a maximal incremental test on a bicycle ergometer. SC was significantly related to VO_2max (partial correlation coefficient r = 0.40, P < 0.001) after adjusting for BMI (kg m⁻²) and age (years). When the new prediction equation developed by multiple regression to estimate VO_2max from age, BMI, and SC (R = 0.71, SEE = 5.3 ml kg⁻¹ min⁻¹, P < 0.001) was applied to the Validation group, predicted VO_2max correlated well with measured VO_2max (r = 0.81, P < 0.001), suggesting that SC is a useful PA variable for non-exercise prediction of VO_2max in Japanese women.

Aadahl M, Kjaer M, Kristensen JH, Mollerup B, Jørgensen T (2007) Self-reported physical activity compared with maximal oxygen uptake in adults. Eur J Cardiovasc Prev Rehabil 14:422–428. doi:10.1097/HJR.0b013e3280128d00 PubMedCrossRef

Akalan C, Robergs RA, Kravitz L (2008) Prediction of VO_2max from an individualized submaximal cycle ergometer protocol. JEPonline 11(2):1–17

American College of Sports Medicine (2006) ACSM’s guidelines for exercise testing and prescription, 7th edn. Williams & Wilkins, Baltimore

Bassett DR Jr, Cureton AL, Ainsworth BE (2000) Measurement of daily walking distance-questionnaire versus pedometer. Med Sci Sports Exerc 32:1018–1023. doi:10.1097/00005768-200005000-00021 PubMedCrossRef

Bertoli A, Di Daniele N, Ceccobelli M, Ficara A, Girasoli C, De Lorenzo A (2003) Lipid profile BMI, body fat distribution, and aerobic fitness in men with metabolic syndrome. Acta Diabetol 40:S130–S133. doi:10.1007/s00592-003-0045-7 PubMedCrossRef

Bjørgaas M, Vik JT, Saeterhaug A, Langlo L, Sakshaug T, Mohus RM, Grill V (2005) Relationship between pedometer-registered activity, aerobic capacity and self-reported activity and fitness in patients with type 2 diabetes. Diabetes Obes Metab 7:737–744. doi:10.1111/j.1463-1326.2004.00464.x PubMedCrossRef

Blair SN, Kannel WB, Kohl HW, Goodyear N, Wilson PW (1989) Surrogate measures of physical activity and physical fitness. Evidence for sedentary traits of resting tachycardia, obesity, and low vital capacity. Am J Epidemiol 129:1145–1156PubMed

Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310PubMed

Centers for Disease Control and Prevention, National Center for Health Statistics (2004) National Health and Nutrition Examination Survey 2003–2004. Laboratory procedures manual. US Department of Health and Human Services, Centers for Disease Control and Prevention. Hyattsville, MD. p 16-2. http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/lab_pm.pdf. Cited 3 May 2008

Crouter SE, Schneider PL, Karabulut M, Bassett DR Jr (2003) Validity of 10 electronic pedometers for measuring steps, distance and energy cost. Med Sci Sports Exerc 35:1455–1460. doi:10.1249/01.MSS.0000078932.61440.A2 PubMedCrossRef

Evenson KR, Stevens J, Cai J, Thomas R, Thomas O (2003) The effect of cardiorespiratory fitness and obesity on cancer mortality in women and men. Med Sci Sports Exerc 35:270–277. doi:10.1249/01.MSS.0000053511.02356.72 PubMedCrossRef

Fang ZY, Sharman J, Prins JB, Marwick TH (2005) Determinants of exercise capacity in patients with type 2 diabetes. Diabetes Care 28:1643–1648. doi:10.2337/diacare.28.7.1643 PubMedCrossRef

Fox EL (1973) A simple, accurate technique for predicting maximal aerobic power. J Appl Physiol 35(6):914–916PubMed

George JD, Stone WJ, Burkett LN (1997) Non-exercise VO_2max estimation for physically active college students. Med Sci Sports Exerc 29:415–423. doi:10.1097/00005768-199703000-00019 PubMed

Haskell WL, Leon AS, Caspersen CJ, Froelicher VF, Hagberg JM, Harlan W, Holloszy JO, Regensteiner JG, Thompson PD, Washburn RA et al (1992) Cardiovascular benefits and assessment of physical activity and physical fitness in adults. Med Sci Sports Exerc 24:S201–S220. doi:10.1249/00005768-199206001-00004 PubMed

Heil DP, Freedson PS, Ahlquist LE, Price J, Rippe JM (1995) Nonexercise regression models to estimate peak oxygen consumption. Med Sci Sprts Exerc 27:599–606

Hermiston RT, Faulkner JA (1971) Prediction of maximal oxygen uptake by a stepwise regression technique. J Appl Physiol 30(6):833–837PubMed

Holiday DB, Ballard JE, McKeown BC (1995) PRESS-related statistics: regression tools for cross-validation and case diagnostics. Med Sci Sports Exerc 27(4):612–620. doi:10.1249/00005768-199504000-00022 PubMed

Ichihara Y, Hattori R, Anno T, Okuma K, Yokoi M, Mizuno Y, Iwatsuka T, Ohta T, Kawamura T (1996) Oxygen uptake and its relation to physical activity and other coronary risk factors in asymptomatic middle-aged Japanese. J Cardiopulm Rehabil 16:378–385. doi:10.1097/00008483-199611000-00007 PubMedCrossRef

Jackson AS, Blair SN, Mahar MT, Weir LT, Rossand RM, Stuteville JE (1990) Prediction of functional aerobic capacity without exercise testing. Med Sci Sports Exerc 22:863–870. doi:10.1249/00005768-199012000-00021 PubMed

Jurca R, Jackson AS, LaMonte MJ, Morrow JR Jr, Blair SN, Wareham NJ, Haskell WL, van Mechelen W, Church TS, Jakicic JM, Laukkanen R (2005) Assessing cardiorespiratory fitness without performing exercise testing. Am J Prev Med 29(3):185–193. doi:10.1016/j.amepre.2005.06.004 PubMedCrossRef

Kohl HW, Blair SN, Paffenbarger RS Jr, Macera CA, Kronenfeld JJ (1988) A mail survey of physical activity habits as related to measured physical fitness. Am J Epidemiol 127:1228–1239PubMed

Malek MH, Housh TJ, Berger DE, Coburn JW, Beck TW (2004a) A new non-exercise based VO_2max equation for aerobically trained females. Med Sci Sports Exerc 36:1804–1810. doi:10.1249/01.MSS.0000142299.42797.83 PubMedCrossRef

Malek MH, Berger DE, Housh TJ, Coburn JW, Beck TW (2004b) Validity of VO_2max equations for aerobically trained males and females. Med Sci Sports Exerc 36:1427–1432. doi:10.1249/01.MSS.0000135795.60449.CE PubMedCrossRef

Michaud PA, Cauderay M, Narring F, Schutz Y (2002) Assessment of physical activity with a pedometer and its relationship with VO_2max among adolescents in Switzerland. Soz Praventivmed 47:107–115. doi:10.1007/BF01318392 PubMedCrossRef

Ministry of Health and Welfare Japan (2002) The National Nutrition Survey in Japan, 2002 [in Japanese]. Daiichi-Shuppan pp. 115–116

Ministry of Health Labour and Welfare Japan (2007) Exercise and physical activity reference for health promotion 2006. pp 9–10. http://www.nih.go.jp/eiken/programs/pdf/epar2006.pdf. Cited 3 Mar 2008

Miyachi M, Tanaka H, Yamamoto K, Yoshioka A, Takahashi K, Onodera S (2001) Effects of one-legged endurance training on femoral arterial and venous size in healthy humans. J Appl Physiol 90:2439–2444PubMed

Plasqui G, Westerterp KR (2005) Accelerometry and heart rate as a measure of physical fitness: proof of concept. Med Sci Sports Exerc 37:872–876. doi:10.1249/01.MSS.0000161805.61893.C0 PubMedCrossRef

Plasqui G, Westerterp KR (2006) Accelerometry and heart rate as a measure of physical fitness: cross-validation. Med Sci Sports Exerc 38:1510–1514. doi:10.1249/01.mss.0000228942.55152.84 PubMedCrossRef

Rankin SL, Briffa TG, Morton AR, Hung J (1996) A specific activity questionnaire to measure the functional capacity of cardiac patients. Am J Cardiol 77:1220–1223. doi:10.1016/S0002-9149(97)89157-6 PubMedCrossRef

Sanada K, Midorikawa T, Yasuda T, Kearns CF, Abe T (2007) Development of nonexercise prediction models of maximal oxygen uptake in healthy Japanese young men. Eur J Appl Physiol 99:143–148. doi:10.1007/s00421-006-0325-3 PubMedCrossRef

Schneider PL, Crouter SE, Bassett DR Jr (2004) Pedometer measures of free-living physical activity: comparison of 13 models. Med Sci Sports Exerc 36:331–335. doi:10.1249/01.MSS.0000113486.60548.E9 PubMedCrossRef

Siconolfi SF, Lasater TM, Snow RC, Carleton RA (1985) Self-reported physical activity compared with maximal oxygen uptake. Am J Epidemiol 122:101–105PubMed

Sui X, LaMonte MJ, Laditka JN, Hardin JW, Chase N, Hooker SP, Blair SN (2007) Cardiorespiratory fitness and adiposity as mortality predictors in older adults. JAMA 298:2507–2516. doi:10.1001/jama.298.21.2507 PubMedCrossRef

Tabata I, Nishimura K, Kouzaki M, Hirai Y, Ogita F, Miyachi M, Yamamoto K (1996) Effects of moderate intensity-endurance and high intensity-intermittent training on anaerobic capacity and VO_2max. Med Sci Sports Exerc 28:1327–1330. doi:10.1097/00005768-199610000-00018 PubMed

Tudor-Locke C (2001) A preliminary study to determine instrument responsiveness to change with a walking program: physical activity logs versus pedometers. Res Q Exerc Sport 72:288–292PubMed

Tudor-Locke M, Myers A (2001) Challenges and opportunities for measuring physical activity in sedentary adults. Sports Med 31:91–100. doi:10.2165/00007256-200131020-00002 PubMedCrossRef

Tudor-Locke C, Ham SA, Macera CA, Ainsworth BE, Kirtland KA, Reis JP, Kimsey CD Jr (2004a) Descriptive epidemiology of pedometer-determined physical activity. Med Sci Sports Exerc 36:1567–1573. doi:10.1249/01.MSS.0000139806.53824.2E PubMedCrossRef

Tudor-Locke C, Williams JE, Reis JP, Pluto D (2004b) Utility of pedometers for assessing physical activity: construct validity. Sports Med 34:281–291. doi:10.2165/00007256-200434050-00001 PubMedCrossRef

Wei M, Kampert JB, Barlow CE, Nichaman MZ, Gibbons LW, Paffenbarger RS Jr, Blair SN (1999) Relationship between low cardiorespiratory fitness and mortality in normal-weight, overweight, and obese men. JAMA 282:1547–1553. doi:10.1001/jama.282.16.1547 PubMedCrossRef

Welk G, Differding J, Thompson R, Blair S, Dzuira J, Hart P (2000) The utility of the Digi-Walker step-counter to assess daily physical activity patterns. Med Sci Sports Exerc 32:S481–S488. doi:10.1097/00005768-200009001-00007 PubMedCrossRef

Whaley MH, Kaminsky LA, Dwyer GB, Getchell LH (1995) Failure of predicted VO_2peak to discriminate physical fitness in epidemiological studies. Med Sci Sports Exerc 27:85–91PubMed

Wier LT, Jackson AS, Ayers GW, Arenare B (2006) Nonexercise models for estimating VO_2max with waist girth, percent fat, or BMI. Med Sci Sports Exerc 38:555–561. doi:10.1249/01.mss.0000193561.64152 PubMedCrossRef

Titel: Prediction of VO2max with daily step counts for Japanese adult women
verfasst von: Zhen-Bo Cao
Nobuyuki Miyatake
Mitsuru Higuchi
Kazuko Ishikawa-Takata
Motohiko Miyachi
Izumi Tabata
Publikationsdatum: 01.01.2009
Verlag: Springer-Verlag
Erschienen in: European Journal of Applied Physiology / Ausgabe 2/2009
Print ISSN: 1439-6319
Elektronische ISSN: 1439-6327
DOI: https://doi.org/10.1007/s00421-008-0902-8

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