Rate of reduction of heart rate variability during exercise as an index of physical work capacity

2007 ◽  
Vol 17 (6) ◽  
pp. 696-702 ◽  
Author(s):  
M. J. Lewis ◽  
M. Kingsley ◽  
A. L. Short ◽  
K. Simpson
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity

Physical work capacity of college women

1965 ◽  
Vol 20 (2) ◽  
pp. 263-266 ◽  
Author(s):  
Ernest D. Michael ◽  
Steven M. Horvath
Keyword(s):  
Heart Rate ◽  
Body Weight ◽  
Exercise Tolerance ◽  
Maximal Exercise ◽  
Work Load ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Maximal Heart Rate ◽  
Cardiorespiratory Function

Maximal exercise tolerance tests were given to 30 female subjects 17-22 years old. The test consisted of exercising 1 min at a work load of 300 kpm/min and increasing the work load 150 kpm/min each minute until the subject could no longer exercise. The maximal heart rate level averaged 184 beat/min with a range between 170 and 202 beat/min. The average maximal Vo2 was 1.78 liter/min or 29.8 ml/kg per min. The submaximal ventilatory measurements were similar for all subjects while the heart rate levels at the submaximal work loads differentiated the subjects when grouped according to maximal work-load capacities. Prediction of maximal work capacity could not be made for individuals from any single submaximal measurement. There was .56 correlation between body weight and maximal work capacity with only a .32 relationship between maximal Vo2 and Vo2 per kilogram body weight. exercise tolerance of women; cardiorespiratory function of women during exercise; submaximal cardiorespiratory response; maximal cardiorespiratory measurements of women; response to maximal exercise; prediction of exercise tolerance Submitted on May 5, 1964

Aerobic and anaerobic work capacity after dehydration

1964 ◽  
Vol 19 (6) ◽  
pp. 1114-1118 ◽  
Author(s):  
Bengt Saltin
Keyword(s):  
Heart Rate ◽  
Oxygen Uptake ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Exercise Tests ◽  
Metabolic Heat ◽  
Maximal Load ◽  
Anaerobic Work ◽  
Aerobic And Anaerobic

Ten subjects performed standard exercise tests at two submaximal loads and one maximal load before and 90 min after dehydration caused predominantly by 1) a thermal, 2) a metabolic, and 3) a combined thermal and metabolic heat load applied for 2.5@#X2013;4 hr. Each subject interrupted dehydration so that almost the same decrease in body weight was attained in the three situations (1.7@#X2013;4.6 kg). Oxygen uptake, heart rate, and concentration of blood lactate were measured during the exercise. At the submaximal loads there was no change in oxygen uptake after dehydration but the heart rates were significantly higher (mean difference 13 beats/min) and blood lactates were lower (from 0.5 after (1) to 1.6 (2) mmoles/liter). At the maximal load there were no significant changes in oxygen uptake and heart rate but work times decreased markedly (6@#X2013;4 min) as did blood lactates (14.0@#X2013;10.4 mmoles/liter) especially after exercise dehydration. physical work capacity Submitted on January 20, 1964

79. The effects of the physical work environment on circadian variations in heart rate variability

2008 ◽  
Vol 22 (4) ◽  
pp. 24-25
Author(s):  
Julian Thayer ◽  
Israel Christie ◽  
Anthony West ◽  
Carolyn Sterling ◽  
Darrell Abernethy ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Work Environment ◽  
Physical Work ◽  
Circadian Variations ◽  
Physical Work Environment

Physical work capacity (VO2 max) and work ability (WAI) of active employees (men and women) in Poland

2005 ◽  
Vol 1280 ◽  
pp. 156-160 ◽  
Author(s):  
J. Bugajska ◽  
T. Makowiec-Dąbrowska ◽  
A. Jegier ◽  
A. Marszałek
Keyword(s):  
Work Ability ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Vo2 Max ◽  
Men And Women

Physiological responses to maximal effort wheelchair and arm crank ergometry

1980 ◽  
Vol 48 (6) ◽  
pp. 1060-1064 ◽  
Author(s):  
R. M. Glaser ◽  
M. N. Sawka ◽  
M. F. Brune ◽  
S. W. Wilde
Keyword(s):  
Pulmonary Ventilation ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Correlation Coefficients ◽  
Work Capacity ◽  
Peak Oxygen Uptake ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Maximal Heart Rate ◽  
Peak Vo2

The purpose of this investigation was to compare physical work capacity (PWC), peak oxygen uptake (peak VO2), maximal pulmonary ventilation (VEmax), maximal heart rate (HRmax), and maximal blood lactate concentration (LAmax) for wheelchair ergometer (WERG) and arm crank ergometer (ACE) exercise. For this, wheelchair-dependent (n = 6) and able-bodied (n = 10) subjects completed a progressive intensity, discontinuous test for each mode of exercise. Each test was terminated by physical exhaustion and/or an inability to maintain a flywheel velocity of 180 m.min-1. Relatively high correlation coefficients were found between values obtained during the two modes of ergometry for PWC, peak VO2, VEmax, and HRmax. WERG exercise was found to elicit a significantly (P less than 0.05) lower PWC (by 36%), HRmax (by 7%), and LAmax (by 26%) than ACE exercise. Peak VO2 and VEmax, however, were similar for both exercise modes. These data suggest that either exercise mode may be used for fitness testing and training of people who cannot use their legs and that arm cranking may be a superior method to propel wheelchairs.

Lifting Physical Work Capacity as a Function of Frequency

1987 ◽  
Vol 31 (12) ◽  
pp. 1331-1335
Author(s):  
Jeffrey E. Fernandez ◽  
Robert J. Marley ◽  
Nancy B. Stubbs
Keyword(s):  
Laboratory Experiment ◽  
Work Capacity ◽  
Task Design ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Frequency Range ◽  
Lifting Technique ◽  
Male Subjects

A laboratory experiment using 15 male subjects was conducted to document lifting physical work capacity over the frequency range of 2 to 12 lifts per minute and to compare these values to bicycling physical work capacity. Results indicate that bicycling PWC is significantly higher than lifting PWC at the 0.05 level. A variation in lifting PWC as a function of frequency was observed. This could be attributed to lifting technique. Task design should, therefore, not only consider lifting PWC but also the frequency of lift.

scholarly journals The impact of heat on human physical work capacity; Part III: the impact of solar radiation varies with air temperature, humidity, and clothing coverage.

2021 ◽  
Author(s):  
Josh Foster ◽  
James W Smallcombe ◽  
Simon G Hodder ◽  
Andreas D Flouris ◽  
Lars Nybo ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Air Temperature ◽  
Work Productivity ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Adult Males ◽  
Cumulative Energy ◽  
Heat Effects ◽  
The Impact

It is well-known that heat impacts human labour/physical work capacity (PWC), but systematic evaluations of solar radiation (SOLAR) effects and the interaction with air temperature and humidity levels and clothing are lacking, as most lab-studies are conducted in semi-nude subjects without radiation or only in a single climatic condition. Due to the high relevance of SOLAR in various occupations, this study quantified how SOLAR interacts with clothing and other primary environmental factors (air temperature/humidity) of importance to determine PWC in the heat. The data allowed the development of a SOLAR correction factor for predicting PWC in major outdoor industries. Fourteen young adult males (7 wearing a standardised work coverall (0.9 Clo), 7 with shorts and trainers (0.3 Clo) walked for 1-hour at a fixed heart rate of 130 b∙min-1, in seven combinations of air temperature (25 to 45 Celsius) and relative humidity (20 or 80%), with and without SOLAR (800 W/m2 from solar lamps). Cumulative energy expenditure in the heat, relative to the work achieved in a cool reference condition, was used to determine PWC%. Skin temperature was the primary determinant of PWC in the heat. In dry climates with exposed skin (0.3 Clo), SOLAR caused PWC to decrease exponentially with rising air temperature, whereas work coveralls (0.9 Clo) negated this effect. In humid conditions, the SOLAR-induced reduction in PWC was consistent and linear across all levels of air temperature, and clothing conditions. WBGT and UTCI based prediction equations of PWC represented SOLAR correctly. For heat indices not intrinsically accounting for SOLAR, correction factors are provided enabling forecasting of heat effects on work productivity.

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