scholarly journals Effect of Asanas on Selected Physical and Physiological Variables among Young Adult Women

2018 ◽  
Vol 7 (2) ◽  
pp. 107-109
Author(s):  
K. Johnbosco

Today the awareness of maintaining good health has been on the high and people attend to physical exercise sessions even without knowing the actual physiological and spiritual values of yogic practices. To achieve this purpose, twenty four female students who are studying in Bharathidasan University affiliated college, Tiruchirappalli were selected as subjects at random and their age ranged between from 20-25 years Physical and physiological variable will be selected by reviewing and studying related literature in detail following criterion variables are selected for this. Physical variable flexibility and strength endurance physiological variable resting pulse rate breath holding time the pre and posttest control group design will be used for this study. To find out the significant difference on adjusted posttest among the groups, analysis of co-variance (ANCOVA) would use. There was significant improvement on flexibility, strength endurance physiological variable resting pulse rate breath holding time due to the effect of asanas training among young adult women.

1997 ◽  
Vol 82 (1) ◽  
pp. 156-163 ◽  
Author(s):  
D. A. Smith ◽  
J. Dollman ◽  
R. T. Withers ◽  
M. Brinkman ◽  
J. P. Keeves ◽  
...  

Smith, D. A., J. Dollman, R. T. Withers, M. Brinkman, J. P. Keeves, and D. G. Clark. Relationship between maximum aerobic power and resting metabolic rate in young adult women. J. Appl. Physiol. 82(1): 156–163, 1997.—The literature is inconclusive as to the chronic effect of aerobic exercise on resting metabolic rate (RMR), and furthermore there is a scarcity of data on young women. Thirty-four young women exhibiting a wide range of aerobic fitness [maximum aerobic power (V˙o 2 max) = 32.3–64.8 ml ⋅ kg−1 ⋅ min−1] were accordingly measured for RMR by the Douglas bag method, treadmillV˙o 2 max, and fat-free mass (FFM) by using Siri’s three-compartment model. The interclass correlation ( n = 34) between RMR (kJ/h) and V˙o 2 max(ml ⋅ kg−1 ⋅ min−1) was significant ( r = 0.39, P < 0.05). However, this relationship lost statistical significance when RMR was indexed to FFM and when partial correlation analysis was used to control for FFM differences. Furthermore, multiple linear-regression analysis indicated that only FFM emerged as a significant predictor of RMR (kJ/h). When high- ( n = 12) and low-fitness ( n = 12) groups were extracted from the cohort on the basis ofV˙o 2 max scores, independent t-tests revealed significant between-group differences ( P < 0.05) for RMR (kJ ⋅ kg−1 ⋅ h−1) andV˙o 2 max(ml ⋅ kg−1 ⋅ min−1) but not for RMR (kJ/h), RMR (kJ ⋅ kg FFM−1 ⋅ h−1), and FFM. Analysis of covariance of RMR (kJ/h) with FFM as the covariate also showed no significant difference ( P = 0.56) between high- and low-fitness groups. Thus the results suggest that 1) FFM accounts for most of the differences in RMR between subjects of varyingV˙o 2 max values and 2) the RMR per unit of FFM in young healthy women is unrelated toV˙o 2 max.


Author(s):  
Emily Holcombe ◽  
Jennifer Manlove ◽  
Erum Ikramullah

2013 ◽  
Author(s):  
Fidia Novenz Wahidah ◽  
Trida Cynthia ◽  
Anita Zulkaida

2019 ◽  
Vol 11 (1) ◽  
pp. 01-03
Author(s):  
Hemlata Munjappa ◽  
◽  
Smita Shinde ◽  
Meena Parekh ◽  
Atish Pagar ◽  
...  

2015 ◽  
Vol 21 (1) ◽  
pp. 60-66 ◽  
Author(s):  
Carolyn J. Heckman ◽  
Teja Munshi ◽  
Susan Darlow ◽  
Jacqueline D. Kloss ◽  
Sharon L. Manne ◽  
...  

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