Accurate prediction of &amp;OV0312;O2max in cycle ergometry

Storer, Thomas W.; Davis, James A.; Caiozzo, Vincent J.

doi:10.1249/00005768-199010000-00024

Cited by 206 publications

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“…The values predicted and measured were compared by using the paired t test. The external validity of Storer et al's equation 15 for men and women (03M and 03F, respectively) proposed for the same GXT protocol were analyzed in group EV by using two-way ANOVA and post-hoc Tukey-HSD test. With the maximum values obtained in group VI, a specific regression equation was also derived to predict VO 2max for the male group.…”

Section: Discussionmentioning

confidence: 99%

“…With the maximum values obtained in group VI, a specific regression equation was also derived to predict VO 2max for the male group. The external validity of this equation was tested in group EV, and the values predicted and measured were compared by using two-way ANOVA and post-hoc Tukey-HSD test, together with the maximum predicted values for the same group by using Storer et al's equation 15 .…”

Section: Discussionmentioning

confidence: 99%

“…Malek et al 29 analyzed the external validity of Storer et al's equations 15 for VO 2max prediction in aerobically trained (Table 1). In an attempt to analyze the applicability of equations 01M, 01F and 02M in different protocols, two maximal tests were performed, one graded (GTX) and another by using square wave (SWT max ).…”

Section: Discussionmentioning

confidence: 99%

“…Difficulty of access to and high costs of ergospirometric evaluation, however, cause predictive methods to be more frequently used than ergospirometry in the assessment of functional capacity 6 . Consequently, several equations have been proposed to estimate maximal and/ or submaximal oxygen uptake based on easy-to-measure morphological and functional variables such as: body mass; age; gender; height; perceived exertion; walk time; run time; and load in watts 1,[7][8][9][10][11][12][13][14][15] . These equations may be used to determine exercise intensity.…”

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Equações para a previsão da potência aeróbia (VO2) de jovens adultos brasileiros

Magrani¹,

Pompeu²

2010

Arq. Bras. Cardiol.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Equações para a previsão da potência aeróbia (VO2) de jovens adultos brasileiros

Magrani¹,

Pompeu²

2010

Arq. Bras. Cardiol.

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“…PPO data were subsequently used to determine the starting cadence during the individualVO 2max tests (further detailed below) and establishing the intensity of individual HIIT intervals during training block 2 (further detailed below). Participants warmed up on resistance setting level 1 (75 rpm=100 W) at the cadence they would use in the test, which was conducted using a modified Storer test (Storer et al 1990), which estimates oxygen uptake using body mass, age and peak power output (PPO). Work rate was increased each minute by raising the damper setting by one (equating to 18 W) until volitional exhaustion was achieved.…”

Section: Laboratory Measuresmentioning

confidence: 99%

Impact of low-volume, high-intensity interval training on maximal aerobic capacity, health-related quality of life and motivation to exercise in ageing men

Knowles

Herbert

Easton

et al. 2015

AGE

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There is a demand for effective training methods that encourage exercise adherence during advancing age, particularly in sedentary populations. This study examined the effects of high-intensity interval training (HIIT) exercise on health-related quality of life (HRQL), aerobic fitness and motivation to exercise in ageing men. Participants consisted of males who were either lifelong sedentary (SED; N=25; age 63±5 years) or lifelong exercisers (LEX; N=19; aged 61±5 years).V O 2max and HRQL were measured at three phases: baseline (Phase A), week seven (Phase B) and week 13 (Phase C). Motivation to exercise was measured at baseline and week 13.VO 2max was significantly higher in LEX (39.2±5.6 ml kg min −1 ) compared to SED (27.2 ±5.2 ml kg min −1 ) and increased in both groups from Phase A to C (SED 4.6±3.2 ml kg min −1 , 95 % CI 3.1 -6.0; LEX 4.9±3.4 ml kg min −1 , 95 % CI 3.1-6.6) Physical functioning (97±4 LEX; 93±7 SED) and general health (70±11 LEX; 78±11 SED) were significantly higher in LEX but increased only in the SED group from Phase A to C (physical functioning 17±18, 95 % CI 9-26, general health 14±14, 95 % CI 8-21). Exercise motives related to social recognition (2.4±1.2 LEX; 1.5 ±1.0 SED), affiliation (2.7±1.0 LEX; 1.6±1.2 SED) and competition (3.3±1.3 LEX; 2.2±1.1) were significantly higher in LEX yet weight management motives were significantly higher in SED (2.9±1.1 LEX; 4.3± 0.5 SED). The study provides preliminary evidence that low-volume HIIT increases perceptions of HRQL, exercise motives and aerobic capacity in older adults, to varying degrees, in both SED and LEX groups.Keywords Ageing men . High-intensity interval training . Health-related quality of life . Motivation . Exercise

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Bone density in young women is associated with body weight and muscle strength but not dietary intakes

Henderson

Price

Cole

et al. 1995

Journal of Bone and Mineral Research

117

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Potential determinants of bone mineral density (BMD) were studied cross-sectionally in 115 healthy, sexually mature Caucasian women aged 18 years. Bone mineral density (Hologic QDR1000W) of the lumbar spine, proximal femur (five sites), and distal tibia and fibula; fasting blood and urine calcium biochemistry; serum sex hormone levels (follicular phase); nutrient intakes; aerobic fitness; trunk muscle strength; and habitual activity levels were measured. The effects of heredity were considered by measuring the BMD of 107 of the subjects' mothers. Simple and stepwise regression analysis were used to identify significant determinants of BMD at each of the regions studied. The analysis indicated that significant bivariate correlations exist between BMD at all sites and body weight (r = 0.23-0.47, p < or = 0.01), lean body weight (r = 0.34-0.46), trunk strength (r = 0.27-0.47), physical activity score (r = 0.20-0.25), and aerobic fitness (r = 0.29-0.45). Dietary calcium intake correlated significantly with BMD at the trochanter site only (r = 0.19), and none of the biochemical or hormonal indices measured correlated consistently with BMD at any site. Significant correlations between the BMD of mothers and daughters ranged from r = 0.43 at lumbar spine to r = 0.34 at the intertrochanteric site. Paired t-tests showed the daughters had significantly (p < 0.03) lower BMD than their mothers at the lumbar spine (98 +/- 12% [mean +/- SD]) and significantly higher (p < 0.002) BMD at the femoral neck, trochanter, and total hip sites (110 +/- 16%, 108 +/- 17%, 103 +/- 14%, respectively). When stepwise regression analysis included weight-corrected strength of the trunk flexor muscles (Corr Flex), weight-corrected aerobic fitness (Corr VO2max), physical activity score, and body weight, body weight was the only significant determinant of BMD at all sites. Corr Flex made significant contributions at all sites except the femoral neck, while Corr VO2max made additional contribution at the femoral neck, trochanter, total hip, and shaft of femur sites. These variables accounted for 13-27% of the variance in BMD. The addition of mother's BMD to these independent variables, in stepwise regression analysis, improved the prediction to 18-31% of the variance.

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Accurate prediction of &OV0312;O2max in cycle ergometry

Cited by 206 publications

References 0 publications

Equações para a previsão da potência aeróbia (VO2) de jovens adultos brasileiros

Equações para a previsão da potência aeróbia (VO2) de jovens adultos brasileiros

Impact of low-volume, high-intensity interval training on maximal aerobic capacity, health-related quality of life and motivation to exercise in ageing men

Bone density in young women is associated with body weight and muscle strength but not dietary intakes

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