Effects of Aerobic Dance on Physical Work Capacity, Cardiovascular Function and Body Composition of Middle-Aged Women

1985 ◽  
Vol 56 (3) ◽  
pp. 227-233 ◽  
Author(s):  
Deborah B. Dowdy ◽  
Kirk J. Cureton ◽  
Harry P. Duval ◽  
Harvey G. Ouzts
Keyword(s):  
Body Composition ◽  
Cardiovascular Function ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Middle Aged ◽  
Aerobic Dance

Relationship Between Physical Activity and the Objective Indicators of Physical Capital for Women in Fitness

2015 ◽  
Vol 6 (2) ◽  
pp. 21-35
Author(s):  
Aleksandra Čuprika ◽  
Andra Fernāte ◽  
Leonīds Čupriks
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Physical Fitness ◽  
Functional State ◽  
Physical Capital ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
The Impact ◽  
Objective Indicators

Abstract As it is mentioned in the action direction Healthy and Workable Individual of the National Development Plan of Latvia 2012 –2020: 30% of all the dead in Latvia have lost their life at the age of being able to work. The main causes of death rate are different diseases (cardio-vascular a.o.), as well as outer death causes (injuries) (Pudule et al, 2012; Štale et al, 2013). Only 8% of the EU and 6% of the Latvian population regularly perform moderate and very difficult physical activity (PA) (Eurobarometer, 2013). Therefore it is necessary to implement purposeful and effective health promoting and risk limiting events to develop the physical capital of one. The understanding of the impact of physical activity on one’s physical capital is not well explored in the previous studies (Hutson, 2012; Maguire, 2008; Goldenberg, 2003; Hedblom, 2009). Therefore, the aim of the study is to determine the relationship between PA and the objective indicators of physical capital for women in fitness. In the study voluntarily participated 33 women (30±4.1 years) from 2 fitness clubs in Riga. In order to determine the respondents’ objective indicators of physical capital were applied: bioimpedance method (TANITA SC330, Japan, 89/336/EC), heart rate variability analysis data processing software ‘Omega’, complex load test with expiratory gas analysis (VIASYS Healthcare GMBH, Germany) and Eirofit tests for adults. In order to determine the level of PA the IPAQ (Craig et al, 2003) short version in Latvian (Kaupuzs & Larins, 2010) was used. Descriptive and inferential statistics were made (SPSS ver.18.0). Several moderately close (0.5<|rs|<0.69; p<0.01) and close correlations (0.7<|rs|<0.99; p<0.01) are determined between the level of PA and indicators of body composition, physical work capacity, physical fitness and functional state of the body. The level of PA has a positive impact on the objective indicators of physical capital. The more physically active the respondent is, the better physical fitness, higher work capacity, better the indicators of his body composition are and better functional state.

scholarly journals Physical Activity Behaviors and Physical Work Capacity in University Students during the COVID-19 Pandemic

2022 ◽  
Vol 19 (2) ◽  
pp. 891
Author(s):  
Grzegorz Bielec ◽  
Aneta Omelan
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
University Students ◽  
Work Capacity ◽  
The Body ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Metabolic Equivalent ◽  
Metabolic Equivalent Of Task ◽  
On Line

Objective. The COVID-19 pandemic led to restricted access to sports and recreation facilities, resulting in a general decrease in physical activity. Many studies present the results of on-line questionnaires conducted during the pandemic, but there are few reports of objectively measured indicators of physical condition. Thus, the objective of this study was to assess the changes in physical work capacity, body composition, and physical activity behaviors in university students during 14 weeks of lockdown. Material and Methods. Twenty students of Tourism and Recreation (13 female and 7 male) participated in the study. The first examination was conducted in November 2020, and the second in March 2021. Body composition was assessed with a Tanita 418 MA device. The students performed the PWC 170 cycling test and completed the International Physical Activity Questionnaire (short version) on-line. Results. Neither physical work capacity nor body composition parameters changed substantially during the analyzed period. In the female students, vigorous physical activity decreased significantly, but no substantial changes occurred in weekly metabolic equivalent of task. In male students, walking days and metabolic equivalent of task decreased, but the changes were not significant. Conclusions. Fourteen weeks of COVID-19 lockdown had little effect on the body composition, physical work capacity level, and physical activity habits of Tourism and Recreation students. Studies with larger groups of participants should verify the current conclusions, and care should be taken when extrapolating to other populations.

Development of Prediction Models for Physical Work Capacity: Practical and Theoretical Implications

1992 ◽  
Vol 36 (10) ◽  
pp. 674-678 ◽  
Author(s):  
Chris Schacherer ◽  
Anna Rowe ◽  
Andrew S. Jackson
Keyword(s):  
Body Composition ◽  
Regression Analysis ◽  
Minority Groups ◽  
Prediction Models ◽  
Work Capacity ◽  
Physical Work ◽  
Hierarchical Regression ◽  
Physical Work Capacity ◽  
Vo2 Max ◽  
Physical Abilities

The use of pre-employment physical abilities tests has often been criticized as discriminatory to women, older people, and members of certain minority groups. In the present study, body composition (% fat) and VO2 Max were measured in a sample of 771 men and 159 women ranging in age from 21 to 66 years. A hierarchical regression analysis revealed that body composition, age, gender, and the interaction between gender and body composition all accounted for statistically significant proportions of variance in VO2 Max. The results are discussed in terms of their support for the validity of pre-employment physical abilities tests for placement in jobs with a high aerobic component.

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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