scholarly journals Evolution of the ACSM Guidelines

2021 ◽  
Vol 25 (2) ◽  
pp. 26-32
Author(s):  
Barry A. Franklin
Keyword(s):  
2019 ◽  
Vol 44 (5) ◽  
pp. 477-484
Author(s):  
Felipe A. Cunha ◽  
Gabrielle S.M. Gomes ◽  
Joana Carvalho ◽  
Nádia S.L. da Silva

The current study investigated whether a single bout of concurrent exercise (Ex Rx) at Third Age Academies (TAAs) in Rio de Janeiro City meets the American College of Sports Medicine (ACSM) guidelines for energy cost and metabolic intensity in older adults. Nine subjects (5 males and 4 females, 63–80 years of age) visited the laboratory for clinical screening and for anthropometrical, resting, and maximal oxygen uptake assessments. Thereafter, subjects performed an Ex Rx circuit consisting of a single circuit alternating aerobic and resistance exercises with outdoor exercise equipment using body mass as the load (total of 9 exercises, 1–2 sets of 15 repetitions). Expired gases were collected via a metabolic cart during exercise bouts. The mean observed energy cost value of 169.1 kcal was slightly greater than the minimum value of 150 kcal reported in the ACSM guidelines (p = 0.018). Like energy cost, all the intensity markers adopted to analyze the physiological strain induced by the Ex Rx circuit significantly exceeded their reference values for moderate intensity (reference values: 3.2 METs (mean observed value = 4.6 METs, p = 0.002); 40% of oxygen uptake reserve (mean observed value = 51.5%, p = 0.040); 40% of heart rate reserve (mean observed value = 64.1%, p < 0.001)), according to the ACSM guidelines. In conclusion, a single bout of Ex Rx circuit performed at TAAs in Rio de Janeiro City was able to induce a physiological strain (i.e., energy cost and intensity) compatible with ACSM recommendations for eliciting health benefits among older adults.


1990 ◽  
Vol 22 (4) ◽  
pp. 533???539 ◽  
Author(s):  
HAROLD W. KOHL ◽  
LARRY W. GIBBONS ◽  
NEIL F. GORDON ◽  
STEVEN N. BLAIR

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S3
Author(s):  
James S. Skinner ◽  
Steven E. Gaskill ◽  
Tuomo Rankinen ◽  
Arthur S. Leon ◽  
D. C. Rao ◽  
...  

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S3
Author(s):  
James S. Skinner ◽  
Steven E. Gaskill ◽  
Tuomo Rankinen ◽  
Arthur S. Leon ◽  
D. C. Rao ◽  
...  

2009 ◽  
Vol 6 (3) ◽  
pp. 333-338 ◽  
Author(s):  
Amy L. Nikolai ◽  
Brittany A. Novotny ◽  
Cortney L. Bohnen ◽  
Kathryn M. Schleis ◽  
Lance C. Dalleck

Background:The purposes of this study were (1) to assess the cardiovascular and metabolic responses to water aerobic exercise and (2) to determine if water aerobics exercise meets the American College of Sports Medicine (ACSM) guidelines for improving and maintaining car-diorespiratory fitness.Methods:Fourteen men and women—mean ± SD age 57.4 ± 7.6 y, height 171.3 ± 7.8 cm, weight 89.9 ± 13.9 kg, body-fat percentage 32.5% ± 5.8%, and maximal oxygen uptake (VO2max) 31.0 ± 8.3 mL · kg−1 · min−1—completed a maximal treadmill exercise test and a 50-min water aerobics session. Cardiovascular and metabolic data were collected via a portable calorimetric measurement system.Results:Mean exercise intensity was 43.4% of heart-rate reserve and 42.2% of maximal oxygen uptake reserve. Training intensity in metabolic equivalents was 4.26 ± 0.96. Total net energy expenditure for the exercise session was 249.1 ± 94.5 kcal/session.Conclusions:Results indicate that water aerobics is a feasible alternative to land-based exercise for middle-aged and older adults that fulfills the ACSM guidelines for improving and maintaining cardiorespiratory fitness.


1980 ◽  
Vol 21 (Supplement) ◽  
pp. S18
Author(s):  
L. W. Gibbons ◽  
H. W. Kohl ◽  
N. F. Gordon ◽  
S. N. Blair

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 843-844
Author(s):  
Yeonsik Noh ◽  
Jae-Seung Chang ◽  
Ki Chon ◽  
Hyungro Yoon ◽  
In Cheol Jeong ◽  
...  

Abstract This study introduces a personalized automated exercise guidance system for the efficient reduction of obesity. The proposed system was composed of wearable biometric devices and exercise-machine control systems connected with the integrated database server. It was designed for providing customized exercise prescription (intensity, repetition, frequency, etc.) according to ACSM guidelines for obesity based on real-time biosignals feedback and an individual’s exercise capacity. Nineteen subjects participated in evaluating the proposed system, and we found that the risk factors (body composition, hemodynamics, blood enzymes, and exercise variables) related to obesity were statistically significantly improved. Other exercise prescriptions for chronic diseases and symptoms will be able to adapt to the proposed system so that we believe it would be substantially helpful to improve geriatric diseases and symptoms by using technology-driven exercise.


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