EFFECT OF SHORT-TERM CHANDRA NADI PRANAYAMA ON HEMATOLOGICAL PARAMETERS: COMPARATIVE STUDY

The aim of this study was to assess the effect of short-term Chandra nadi pranayama on Hematological Parameters. Thirty, university level girls of Department of Physical Education (T), Guru Nanak Dev University, Amritsar between the age group of 21-26 years volunteered to participate in the study. The subjects from Group-A: Experimental, were subjected to a 3-week Chandra nadi pranayama. Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows version 10.0 software (SPSS Inc., Chicago, IL). Data is expressed as the Mean ± SD. Student t-test for Paired Samples was utilized to compare the means of the Pre-Test and the Post-Test. To test the Hypothesis, the level of significance was set at 0.05. To conclude, it is significant to mention in relation to Hemoglobin (Hb), Total Cholesterol (TC), Low Density Lipoprotein Cholesterol (LDL-Cholesterol), High Density Lipoprotein Cholesterol (HDL-Cholesterol) and Triglycerides (TG) that results of Paired Sample t-test were found statistically insignificant (P >.05).  Article visualizations

A STUDY ON EMOTIONAL MATURITY AMONG INDIAN HOCKEY PLAYERS

The purpose of this study was to compare Emotional Maturity among sub-junior level, junior level and senior level Hockey Players. To obtain data, the investigators had selected Ninety Nine (N=99), Female subjects between the age group of 12-28 years (Mean ± SD: Age 16.90 ± 3.80 (yrs), Body Height 161.41 ± 4.97 (cm), Body Mass 52.36 ± 5.35 (kg)). For evaluating the levels of Emotional Maturity among subjects, Singh and Bhargava’s (1988) Emotional Maturity Scale (EMS) was used. This scale consists of five parameters namely: (Emotional Unstability, Emotional Regression, Social Maladjustment, Personality Disintegration and Lack of Independence). The Statistical Package for the Social Sciences (SPSS) was used for all analyses. The differences in the mean of each group for selected variables were tested for the significance of difference by One-way Analysis of Variance (ANOVA). For testing the hypotheses, the level of significance was set at 0.05. To conclude, it is significant to mention in relation to Emotional Unstability, Emotional Regression and Social Maladjustment that results of Analysis of Variance (ANOVA) among Hockey Players were found statistically insignificant (P > .05). Furthermore, in relation to Personality Disintegration and Lack of Independence that results of Analysis of Variance (ANOVA) among Hockey Players were found statistically significant (P < .05).  Article visualizations

A CROSS-SECTIONAL ANALYSIS OF SKILL RELATED PHYSICAL FITNESS COMPONENTS OF KAYAKING AND ROWING PLAYERS

The present study was focused to contrast the level of Skill-Related Physical Fitness components of Kayaking and Rowing players. For this purpose, eighteen (N=18), male college level Kayaking and Rowing players of age group 18-25 years participated in the study. All the subjects, after having been informed about the objective and protocol of the study, gave their consent and volunteered to participate in this study. They were divided into two groups: Group-A: n1=9 kayaking players and Group-B: n2=9 rowing players. It is to measure the skill related physical fitness (agility, balance, coordination, power and speed) male inter- college kayaking and rowing players. To determine the significant differences between kayaking and rowing, unpaired t-test was employed for data analyses. It is concluded from the above analysis the study can be concluded that no significant difference were found among Kayaking and Rowing players on the sub- variables; Agility, Balance, Coordination and Power variables of physical fitness and highly Significant difference was found on Speed variable of physical fitness

NORMS CONSTRUCTION AND GRADING FOR PHYSICAL FITNESS TEST ITEMS

The present study was conducted to construct norms for selected physical fitness test items of handball players. For the purpose of the present study, fourty eight (N=48), male Handball players of Panjab University, Chandigarh between the age group of 18-25 years were selected as subjects. The Muscular Strength was measured by Handgrip Strength Test, Muscular Power was measured by Vertical Jump Test, Muscular Endurance was measured by Pull-Up Test, Running Speed was measured by 20-Meter Dash, Running Agility was measured by Illinois Agility Test, Jumping Ability was measured by Standing Long Jump Test, Throwing Ability was measured by Overhead Medicine Ball Throw Test, Flexibility was measured by Sit and Reach Flexibility Test and Balance was measured by Stork Balance Stand Test. The data, which was collected by administering tests, was statistically treated to develop for all the test items. In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades i.e., very good, good, average, poor and very poor. In Muscular Strength, the mean score was 49.562 and standard deviation score was 3.679. In Muscular Power, the mean score was 48.062 and standard deviation score was 2.276. In Muscular Endurance, the mean score was 6.958 and standard deviation score was 1.098. In Running Speed, the mean score was 4.6354 and standard deviation score was 0.143. In Running Agility, the mean score was 17.606 and standard deviation was 0.834. In Jumping Ability, the mean score was 2.7260 and standard deviation was 0.415. In Throwing Ability, the mean score was 13.562 and standard deviation score was 0.976. In Flexibility, the mean score was 4.625 and standard deviation score was 0.832. In Balance, the mean score was 46.354 and standard deviation score was 1.561of Panjab University, Chandigarh.  Article visualizations

A Comparative Study on selected psychomotor abilities between male baseball pitcher and cricket fast bowler

The aim of this study is to find out the significant differences of selected Psychomotor Abilities between male Baseball pitcher and cricket fast bowler. A group of thirty (N=30) male subjects aged between 18-28 years, who participated in intercollege competitions organized by the Department of Sports, Guru Nanak Dev University, volunteered to participate in this study were selected for this study. The purposive sampling technique was used to attain the objectives of the study. All the subjects, after having been informed about the objective and protocol of the study, gave their consent and volunteered to participate in this study. They were further divided into two groups of 15each (i.e., N1=15; pitcher and N2=15; fast bowler). The “t” test was applied to find out the significant differences between male Baseball pitcher and cricket fast bowler. To test the hypotheses, the level of significance was set at 0.05. The results revealed significant differences between Baseball pitcher and cricket fast bowler on the sub-variables i.e. speed, agility and Cardiovascular Endurance. However, no significant differences were noticed with regard to the sub-variables i.e. strength and static balance

PHYSICAL FITNESS LEVELS AMONG 200, 500 AND 1000 METER CANOEING PLAYERS: A COMPARATIVE STUDY

The purpose of this study was to compare Physical Fitness levels among 200, 500 and 1000 Meter Canoeing Players. To obtain data, the investigators had selected Twenty one (N = 21) male Canoeing Player of 19 to 25 years (Mean ± SD: Age: 19.761 ± 2.488 years; Body Mass: 1.749 ± 7.046 kilograms; Body Height: 65.047 ± 9.286 meters) of age to act as subjects. Components of Physical fitness (i.e., Agility, Balance, Coordination, Power, Reaction Time and Speed) were taken up for the present study. Statistical analysis was performed using the Statistical Package for the Social Sciences for Windows version 16.0 software (SPSS Inc., Chicago, IL). Data is expressed as the mean ± SD. One way Analysis of Variance (ANOVA) was employed to find out the intra-group differences. To test the hypothesis, the level of significance was set at 0.05. No significant differences were found in Agility, Balance, Coordination, Power and Speed. However, significant differences were found in Reaction Time.  Article visualizations

NORMS CONSTRUCTION FOR MUSCULAR STRENGTH, MUSCULAR POWER AND MUSCULAR ENDURANCE OF BASKETBALL PLAYERS OF GURU NANAK DEV UNIVERSITY, AMRITSAR, PUBJAB, INDIA

The aim of this study was to construct norms for Muscular Strength, Muscular Power and Muscular Endurance of male Basketball Players. Seventy Two, male Basketball Players of Guru Nanak Dev University, Amritsar between the age group of 19-25 years (Mean ± SD: Age 22.263 ± 1.332 years, Body Height 180.75 ± 6.008 centimeters and Body Mass 77.526 ± 5.960 kilograms) volunteered to participate in the study. Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows version 16.0 software (SPSS Inc., Chicago, IL). The data, which was collected by administering tests, was statistically treated to develop for all the test items. In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades i.e., very good, good, average, poor and very poor. In Muscular Strength, the scores below 43.296 are considered very poor, from about 45.995-43.296 is considered poor, 45.995-51.393 is considered average, 51.393-54.092 is considered good and the scores above 54.092 are considered very good. In Muscular Power, the scores below 41.913 are considered very poor, from about 43.991-41.913 is considered poor, 43.991-48.147 is considered average, 48.147-50.225 is considered good and the scores above 50.225 are considered very good. In Muscular Endurance, the scores below 4.39 are considered very poor, from about 5.438-4.39 is considered poor, 5.438-7.534 is considered average, 7.534-8.582 is considered good and the scores above 8.582 are considered very good.  Article visualizations

NORMS AND GRADES UNDER NORMAL DISTRIBUTION FOR BASIC MOVEMENT PATTERNS OF FREESTYLE WRESTLING PLAYER

The aim of this study was to construct norms for Basic Movement Patterns of Freestyle Wrestling Player. Fifty five, male Freestyle Wrestling Player of Guru Nanak Dev University, Amritsar between the age group of 19-25 years volunteered to participate in the study. The 20 Meter Dash Test was used to measure Running Speed, Illinois Agility Test was used to measure Running Agility, Standing Long Jump Test was used to measure Jumping Ability and Overhead Medicine Ball Throw Test was used to measure Throwing Ability. Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows version 16.0 software (SPSS Inc., Chicago, IL). In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades (i.e., very good, good, average, poor and very poor). In Running Speed, the scores below 5.149 are considered very poor, from about 4.837-5.49 is considered poor, 4.213-4.837 is considered average, 4.213-3.901 is considered good and the scores above 3.901 are considered very good. In Running Agility, the scores below 17.54 are considered very poor, from about 16.896-17.54 is considered poor, 15.608-16.896 is considered average, 15.608-14.964 is considered good and the scores above 14.964 are considered very good. In Jumping Ability, the scores below 218 are considered very poor, from about 224.409-218 is considered poor, 224.409-237.227 is considered average, 237.227-243.636 is considered good and the scores above 243.636 are considered very good. In Throwing Ability, the scores below 8.983 are considered very poor, from about 10.582-8.983 is considered poor, 10.582-13.78 is considered average, 13.78-15.379 is considered good and the scores above 15.379 are considered very good.  Article visualizations

CONSTRUCTION OF PHYSICAL FITNESS TEST ITEMS NORMS OF TAEKWONDO PLAYER OF GURU NANAK DEV UNIVERSITY, AMRITSAR, INDIA

The purpose of this study was to construct Norms of Physical Fitness Test Items of Taekwondo Player. To obtain data, the investigators had selected Fourty (N=40), male Inter-College level Taekwondo Player of Guru Nanak Dev University, Amritsar between the age group of 18-28. The Muscular Strength was measured by Handgrip Strength Test, Muscular Power was measured by Vertical Jump Test, Muscular Endurance was measured by Pull-Up Test, Running Speed was measured by 20-Meter Dash, Running Agility was measured by Illinois Agility Test, Jumping Ability was measured by Standing Long Jump Test, Throwing Ability was measured by Overhead Medicine Ball Throw Test, Flexibility was measured by Sit and Reach Flexibility Test and Balance was measured by Stork Balance Stand Test. The data, which was collected by administering tests, was statistically treated to develop for all the test items. In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades i.e., very good, good, average, poor and very poor.  Article visualizations

CONSTRUCTION OF PHYSICAL FITNESS TEST ITEMS NORMS OF TAEKWONDO PLAYER OF GURU NANAK DEV UNIVERSITY, AMRITSAR, INDIA

The purpose of this study was to construct Norms of Physical Fitness Test Items of Taekwondo Player. To obtain data, the investigators had selected Fourty (N=40), male Inter-College level Taekwondo Player of Guru Nanak Dev University, Amritsar between the age group of 18-28. The Muscular Strength was measured by Handgrip Strength Test, Muscular Power was measured by Vertical Jump Test, Muscular Endurance was measured by Pull-Up Test, Running Speed was measured by 20-Meter Dash, Running Agility was measured by Illinois Agility Test, Jumping Ability was measured by Standing Long Jump Test, Throwing Ability was measured by Overhead Medicine Ball Throw Test, Flexibility was measured by Sit and Reach Flexibility Test and Balance was measured by Stork Balance Stand Test. The data, which was collected by administering tests, was statistically treated to develop for all the test items. In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades i.e., very good, good, average, poor and very poor.  Article visualizations