Validation of a cycle ergometry equation for predicting steady-rate ??VO2

Latin, Richard W.; Berg, Kris; Smith, Pamela J. Olúbùnmi; Tölle, R; Woodby-Brown, Sara

doi:10.1249/00005768-199308000-00014

Cited by 23 publications

(35 citation statements)

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“…4 a The relationship between oxygen uptake above rest ð _ V O 2 netÞ and workload as measured in nine obese women during bicycle ergometer exercise during the present study (same regression line as presented in Fig. 1) and predicted by the equations of Berry et al (1993), Latin et al (1993) and by the original ACSM's equation (1991). b The difference (expressed in percent) between the value of _ V O 2 net measured and that predicted by the above equations at the workloads attained during the present study obese subjects, as suggested also by Dempsey et al (1966).…”

Section: Discussionmentioning

confidence: 57%

“…Anton-Kuchly et al (1984) estimated that about 60-70% of the difference in cycling energy expenditure they observed between obese and lean subjects could be accounted for by the extra work of moving the legs, while the remaining 20-30% could be explained by the higher postural activity required by Workload (W) Berry et al, 1993Latin et al, 1993 ACSM Present data VO 2 net (ml/min) Fig. 4 a The relationship between oxygen uptake above rest ð _ V O 2 netÞ and workload as measured in nine obese women during bicycle ergometer exercise during the present study (same regression line as presented in Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Generally, in field situations, a target workload is assigned to the subject in order to achieve a desired oxygen uptake, and there have been several attempts to develop accurate equations for predicting steady-state _ V O 2 during cycle ergometry (Berry et al 1993;Latin et al 1993;Latin and Berg 1994), basically stemming from the American College of Sports Medicine's (1991) metabolic equation, commonly used for exercise prescription and fitness evaluation in many settings. Although validated also within relatively wide ranges of adiposity (Berry et al 1993;Latin and Berg 1994), none of these equations reliably accounts for the obesity-related cost of cycling over the whole range of exercise intensity explored (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Commonly, in field situations, this is achieved by means of equations which, as far as the cycle ergometry is concerned, predict the energy requirement entailed by a given workload (Berry et al 1993; American College of Sport Medicine 1991; Latin et al 1993;Latin and Berg 1994). In principle, these equations, based on physiological concepts and statistical empirical validation, account for the efficiency in the conversion of metabolic energy into mechanical work in a given biomechanical system.…”

Section: Introductionmentioning

confidence: 99%

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The energy cost of cycling in young obese women

et al. 2006

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In order to evaluate the difference in the energy cost of submaximal cycling between normal weight (NW) and obese (OB) females, nine OB (age 23.2 years+/-1.6 SE, BMI 40.4+/-1.2 kg/m2) and nine NW (age 25.6 years+/-1.8, BMI 21.7+/-0.6 kg/m2) healthy young women were studied during a graded bicycle ergometer test at 40, 60, 80, 100 and 120 W. At rest and at all workloads, oxygen uptake VO2 was higher in OB than in NW women (Student's t test, P<0.05-0.01), as well as respiratory quotient during all exercise levels (P<0.05-0.01), while similar values of heart rate, pulmonary ventilation and breathing efficiency were found between the two groups. Maximal VO2 and anaerobic threshold were higher in OB women, and they also explained the higher oxygen pulse observed during submaximal exercise, but no difference was found when the values were adjusted for fat-free mass. While net mechanical efficiency (ME) was significantly lower in OB (ANOVA, P<0.05), delta ME was similar in both groups, indicating no substantial derangement of muscle intrinsic efficiency in obesity, but suggesting that the increased mass of body segments involved in cycling movements may be chiefly responsible for the higher energy cost of this type of exercise. Comparison of the actual VO2 presently measured with that predicted by available cycle ergometry equations at the different workloads indicated inaccuracy of various degrees ranging from 8.4 to -31.9%. It is concluded that the lower mechanical efficiency displayed by obese women in cycling has to be taken into account when prescribing exercise through methods predicting the metabolic load.

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Section: Discussionmentioning

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The energy cost of cycling in young obese women

et al. 2006

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“…These indirect methods of estimating VO 2 are useful for assessing fitness and developing exercise prescriptions. While the validity of the ACSM cycle ergometry and treadmill running equations have been examined previously (Ruiz and Sherman 1999;Latin et al 1993;Lang et al 1992;Kang et al 1997) to our knowledge, the arm ergometry equation has not been validated against other population samples. Consequently, this energy cost prediction equation may lack generalizability since it is not only limited by a small sample size, but may lack gender specificity.…”

Section: Introductionmentioning

confidence: 98%

Validation of an equation for predicting energy cost of arm ergometry in women

et al. 2005

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Few studies have examined the validity of metabolic equations for the prediction of energy cost (VO(2)) of arm ergometry in women. Therefore, the purpose of this study was (a) to compare directly measured and predicted VO(2) values using the American College of Sports Medicine (ACSM) equation and (b) to develop and validate a prediction equation for women. A sample of 60 female subjects with mean (+/-SD) age, weight and height 26.5 +/- 14.4 years, 61.5 +/- 7.6 kg, 163.3 +/- 6.0 cm, respectively, was randomly assigned to an equation group (N = 40) and a cross validation group (N = 20). All subjects performed an incremental arm ergometry test (10 W increases every 2 min), until termination criteria were met. Repeated measures ANOVA indicated significant differences between the measured VO(2) and ACSM predicted VO(2) during all the incremental test work rate. Multiple linear regression analysis was used to develop the following upper body exercise VO(2) prediction equation: VO(2)(ml . kg(-1) . min(-1) = 23.461 - (0.272 x Body Weight) + (0.403 x watts) [R(2) = 0.82, SEE = 2.79] Cross validation indicated lower variability using the current prediction equation. An additional independent sample of 13 subjects performed a 30-min steady-state test at 40% of their pre-determined maximal work rate. VO(2) measured during the 30 min steady-state test (was significantly different P < 0.05) from the ACSM prediction at all time intervals. There were no significant differences using the above equation following the 5 min time interval. Therefore, a new equation is proposed as a means of providing a gender-specific energy cost prediction equation.

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Do the speeds defined by the American College of Sports Medicine metabolic equation for running produce target energy expenditures during isocaloric exercise bouts?

et al. 2011

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The accuracy of the American College of Sports Medicine (ACSM) equations for producing predicted values of heart rate reserve (HRR) and oxygen uptake reserve (VO2R) and consequently, target energy expenditure (EE) during exercise are yet to be established. This study investigated whether speeds defined by the ACSM metabolic equation for running correctly estimate the EEs during isocaloric exercise bouts. Twenty-eight men performed a ramp-incremental maximal exercise test to determine HRmax and VO2max. Two continuous exercise bouts at 60 and 80% VO2R and target EE of 400 kcal were then performed. In the 60% VO2R exercise the observed VO2R and EE were lower than predicted only during the first time quartile of the bout (t = 6.5, p < 0.001), whereas at 80% VO2R it was lower during the first (t = 15.3, p < 0.001), second (t = 5.4, p < 0.001) and third (t = 3.1, p = 0.025) quartiles. The observed HR was lower than predicted in the first time quartile of the 60% [Formula: see text] (t = 5.6, p < 0.001) and 80% VO2R bouts (t = 10.7, p < 0.001), whereas no significant differences occurred for any other time quartiles (p ≥ 0.23). In conclusion, the running speed defined by the ACSM metabolic equation overestimated VO2R and EE within exercise performed at 60 and 80% VO2R especially in higher intensities.

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Validation of a cycle ergometry equation for predicting steady-rate ??VO2

Cited by 23 publications

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The energy cost of cycling in young obese women

The energy cost of cycling in young obese women

Validation of an equation for predicting energy cost of arm ergometry in women

Do the speeds defined by the American College of Sports Medicine metabolic equation for running produce target energy expenditures during isocaloric exercise bouts?

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