scholarly journals Physical fitness test performance probability with increasing age: suggestions for practical applications in military physical training

2020 ◽  
Vol 22 ◽  
Author(s):  
Felipe Jorge de Medeiros ◽  
João Victor Domingos Lourenço ◽  
Esteban Aedo-Muñoz ◽  
Diego Ignacio Vanenzuela Perez ◽  
Marco Antonio Ferreira dos Santos ◽  
...  
Keyword(s):  
Physical Fitness ◽  
Body Mass ◽  
Physical Training ◽  
Test Performance ◽  
Aging Process ◽  
Physical Parameters ◽  
Physical Fitness Test ◽  
Practical Applications ◽  
Fitness Test ◽  
Age Range

Abstract This article analyzes the Physical Fitness Test (PFT) which is performed by the Brazilian Navy to check the physical parameters of its military members in order to present the performance of probabilities with increasing age. We analyzed 702 PFT data in this study, separated into three groups based on the age of those assessed by the PFT, as follows: young adults (YA, n=91, age range between 20-30 years), adults (A, n=243, age range between 30-40 years) and mature adults (MA, n=368, age range between 40-50 years old). PFT measurements were: Body Mass Index (BMI), 100 m freestyle swimming, 3,200 m running, 1 min sit-ups, Pull-up on the bar and Push-up test. The main results indicated significant differences between groups when compared Body mass (YA: 79.1±11.4kg and A: 82.1±14kg < MA: 84.1±12.3kg), BMI (YA: 25.4±2.9 < A: 26.4±4.3 < MA: 27.5±4),Pull-ups (YA: 10.8±4.6 freq./min < A: 10±3.6 freq./min < MA: 8.5±4.7 freq./min), 3,200 m running time (YA: 1282,1±172,4s < A: 1421±199.8s < MA: 1566.7±192.4s) and 100 m swimming time (YA: 140.1±45.6s < A: 149.7±37.9s < MA: 180.8±50s) and the regression analysis demonstrated that 3,200 m running and pull-ups were the most affected variable of aging process (p<0.05). In summary, it is possible to carry out a practical application, considering aging process and the decline of the aerobic capacity and the upper limbs strength-power in Military Physical Training.

The Influence of Visual Impairment on Physical Fitness Test Performance

1986 ◽  
Vol 80 (5) ◽  
pp. 729-731
Author(s):  
Francis X. Short ◽  
Joseph P. Winnick
Keyword(s):  
Physical Fitness ◽  
Visual Impairment ◽  
Test Performance ◽  
Visually Impaired ◽  
Long Distance ◽  
Physical Fitness Test ◽  
Fitness Test ◽  
Test Items ◽  
Age Range ◽  
Partially Sighted

The Project UNIQUE Physical Fitness Test was administered to 686 normally sighted and 484 visually impaired subjects in the 10-17 age range. Significant differences favoring the normally sighted were found for each of the six test items. The severity of the visual impairment was a significant factor on the two running items. Partially sighted subjects made better scores than legally blind subjects on the 50-yard dash and long-distance run. No significant differences between partially sighted and blind subjects were found for the non-running items in the test battery (skinfolds, grip strength, sit-ups and sit and reach). Findings suggested that, depending upon the purpose of the assessment, physical fitness test scores of the visually impaired generally should be compared to specially designed norms and that, on the running items, separate norms should be utilized for the blind and partially sighted.

The Effect of Aerobic and Anaerobic Exercise on Increasing Body Immunity Through Physical Fitness Test

2021 ◽  
Vol 1 (4) ◽  
pp. 71-76
Author(s):  
Tri Saptono ◽  
Sumitarsih Sumitarsih ◽  
R. Agung Purwandono Saleh
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Aerobic Exercise ◽  
Body Mass ◽  
High Body Mass Index ◽  
Anaerobic Exercise ◽  
Average Difference ◽  
Physical Fitness Test ◽  
Fitness Test ◽  
Aerobic And Anaerobic

The research  aims to determine: 1) differences in the effect of aerobic and anaerobic exercise on increasing body immunity, 2) differences in increasing body immunity between low and high Body Mass Index, 3) differences in increasing body immunity between high Body Mass Index aerobic exercise and  high Body Mass Index anaerobic exercise, 4) differences in the increase in body immunity between low Body Mass Index aerobic exercise and low Body Mass Index anaerobic exercise, 5) the effect of interaction between Body Mass Index with aerobic and anaerobic exercise on increasing body immunity through Physical Fitness Test The research  uses an experimental method with  2x2 factorial design. The population of this research is the SPIRITS Sleman Yogyakarta volleyball club. The sample size is 24 athletes. The research data analysis technique used ANOVA. Prerequisite test of data analysis using normality test (Lilliefors test  = 0.05) and homogeneity test of variance (Bartlet test  = 0.05) The results of the  research: 1) There is a difference in the effect between aerobic exercise with an average of 4.016667 and anaerobic exercise with an average of 2.825, on the increase in physical fitness test ability with an average difference of 1.191667. 2) There is a different effect between low BMI with an average of 4.325 and high BMI with an average of 2.516667 on increasing physical fitness test abilities with an average difference of 1.808333. 3) There is a different effect between low BMI aerobic exercise with an average of 5.15 and low BMI anaerobic exercise with an average of 3.5 on increasing physical fitness test ability with an average difference of 1.65. 4) There is a difference  between high BMI aerobic exercise with an average of 2.883333 and high BMI anaerobic exercise with an average of 2.15 on the increase in physical fitness test with an average difference of 0.7333333. 5) Interaction between aerobic exercise, anaerobic exercise and BMI 0.656866

scholarly journals The Influence of Physical Fitness on Reasons for Academy Separation in Law Enforcement Recruits

2019 ◽  
Vol 16 (3) ◽  
pp. 372 ◽  
Author(s):  
Robert Lockie ◽  
Katherine Balfany ◽  
Ashley Bloodgood ◽  
Matthew Moreno ◽  
Karly Cesario ◽  
...  
Keyword(s):  
Law Enforcement ◽  
Physical Fitness ◽  
Physical Training ◽  
Test Performance ◽  
Stepwise Regression ◽  
Vertical Jump ◽  
Fitness Testing ◽  
Fitness Test ◽  
Post Hoc ◽  
One Way Anova

This study analyzed the effects physical fitness may have on reasons for academy separation in law enforcement recruits. A retrospective analysis was conducted on 401 recruits; 330 recruits graduated (GRAD), and 71 recruits separated at various times during academy. Twenty-eight recruits separated for personal reasons (SEPPR); 18 due to physical training failures (i.e., poor fitness) or injury (SEPFI); and 25 due to academic or scenario failures (SEPAS). Fitness testing occurred prior to academy, and included: Push-ups and sit-ups in 60s; a 75-yard pursuit run (75PR); vertical jump; medicine ball throw; and multistage fitness test (MSFT). A one-way ANOVA with Bonferroni post hoc compared between-group fitness test performance. A multiple stepwise regression calculated whether recruit characteristics or fitness could predict separation. The GRAD group was younger than the SEPAS group (p < 0.01), faster in the 75PR than the SEPFI group (p = 0.02), and completed more MSFT shuttles than the SEPPR and SEPFI groups (p = 0.01). Age predicted GRAD and SEPAS group inclusion; MSFT predicted GRAD, SEPPR, and SEPFI group inclusion. Recruits who had superior high-intensity running capacity (75PR) and aerobic fitness (MSFT) should have a better chance of completing academy. However, this could be influenced by training practices adopted during academy.

Application Analysis of Physical Fitness Test Performance Management Based on Improved Ant Colony Algorithm

2021 ◽  
Vol 7 (5) ◽  
pp. 1991-1999
Author(s):  
Dong Chen
Keyword(s):  
Physical Education ◽  
Physical Fitness ◽  
Performance Management ◽  
Test Performance ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Test Results ◽  
Physical Fitness Test ◽  
Fitness Test ◽  
Application Analysis

Objectives: With the continuous development of quality education in China, higher education pays more and more attention to the development of physical education. However, in the process of China’s development, there is a lack of corresponding evaluation system for physical fitness test results. Methods: Therefore, this paper proposes the analysis and research application of fitness test performance management based on ant colony algorithm. Firstly, it expounds the development status of physical education performance management. Results: Then, aiming at the corresponding shortcomings, this paper puts forward the application analysis of the fitness test performance management platform based on the mixed mode of cloud theory, and carries out a series of comprehensive tests on the system. Conclusion: According to the performance test of all aspects of the database, the test results show that the system is feasible.

Differences in Physical-Fitness Test Scores between Actively and Passively Recruited Older Adults: Consequences for Norm-Based Classification

2002 ◽  
Vol 10 (2) ◽  
pp. 143-159 ◽  
Author(s):  
Marieke J.G. van Heuvelen ◽  
Martin Stevens ◽  
Gertrudis I.J.M. Kempen
Keyword(s):  
Older Adults ◽  
Physical Fitness ◽  
Test Performance ◽  
Test Scores ◽  
Manual Dexterity ◽  
Personal Contact ◽  
Physical Fitness Test ◽  
Fitness Test ◽  
Physical Activity Recommendations ◽  
Giving Feedback

This study investigated differences in physical-fitness test scores between actively and passively recruited older adults and the consequences thereof for norm-based classification of individuals. Walking endurance, grip strength, hip flexibility, balance, manual dexterity, and reaction time were measured in participants age 57 years or older: 1 sample recruited through media announcements (passively recruited) and 1 sample recruited through personal contact (actively recruited). Classifications on a 5-point scale based on norms were cross-tabulated. Compared with the actively recruited sample, performance of the passively recruited sample was significantly better on all tests except, for women, hip flexibility and manual dexterity. Cross-tabulation of the 2 classifications showed that percentages of agreement varied from 27.4% to 87.4%. Cohen's Kappa varied from .11 to .84. Caution should be used when giving feedback on test performance and subsequently making physical activity recommendations if norms are based on the performance of passively recruited older adults.

The Relationship Between Physical Fitness, Urine Iodine Status, and Body-Mass Index in 6- to 7-year-old Polish Children

2011 ◽  
Vol 21 (4) ◽  
pp. 318-327 ◽  
Author(s):  
Sylwia Merkiel ◽  
Wojciech Chalcarz
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Body Height ◽  
Urinary Iodine ◽  
Physical Fitness Test ◽  
Iodine Status ◽  
Fitness Test ◽  
The Relationship ◽  
Urine Iodine

The aim of this study was to assess physical fitness in 6- to 7-yr-old children and determine if there is any relationship between children’s physical fitness, their urine iodine status, and their body-mass index (BMI). The studied population included 121 children from southern Poland. Physical fitness was measured using a physical fitness test for children age 3–7 yr. Urinary iodine concentrations were measured in the children’s first urine output on waking using the modified PAMM (Program Against Micronutrient Malnutrition) method. Body height and weight were measured and BMI was calculated. The subjects were characterized by low physical fitness. Boys obtained better results in agility, power, and strength exercises (p ≤ .05). In girls, 11 correlation coefficients between the scores obtained in the physical fitness test, urinary iodine, and anthropometric measures were statistically significant, and in boys, only 2. BMI correlated positively with agility in girls and with strength in girls and boys. Our study revealed low physical fitness in Polish 6- to 7-yr-old children, which shows the need to implement programs aimed at increasing their physical activity. The relationship found between physical fitness and urine iodine status in girls indicates that future research in this area is needed.

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