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 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 Validity Of Self-reported Physical Fitness Test Scores

2005 ◽  
Vol 37 (Supplement) ◽  
pp. S99
Author(s):  
Sarah B. Jones ◽  
J. J. Knapik ◽  
M. A. Sharp ◽  
S. Darakjy ◽  
K. G. Hauret ◽  
...  
Keyword(s):  
Physical Fitness ◽  
Test Scores ◽  
Physical Fitness Test ◽  
Fitness Test

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.

scholarly journals THE EFFECTS OF A 16-DAY COURSE ON IMPROVEMENT IN ARMY PHYSICAL FITNESS TEST SCORES

2020 ◽  
Vol 52 (7S) ◽  
pp. 373-373
Author(s):  
Jason A. Melnyk ◽  
Cassandra York ◽  
Michael Voight
Keyword(s):  
Physical Fitness ◽  
Test Scores ◽  
Physical Fitness Test ◽  
Fitness Test

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.

scholarly journals The Validity of Self-Reported Physical Fitness Test Scores

2007 ◽  
Vol 172 (2) ◽  
pp. 115-120 ◽  
Author(s):  
Sarah B. Jones ◽  
Joseph J. Knapik ◽  
Marilyn A. Sharp ◽  
Salima Darakjy ◽  
Bruce H. Jones
Keyword(s):  
Physical Fitness ◽  
Test Scores ◽  
Physical Fitness Test ◽  
Fitness Test

Age as a Factor Relating to Physical Fitness Test Performance

1990 ◽  
Vol 61 (4) ◽  
pp. 410-414 ◽  
Author(s):  
Robert P. Pangrazi ◽  
Charles B. Corbin
Keyword(s):  
Physical Fitness ◽  
Test Performance ◽  
Physical Fitness Test ◽  
Fitness Test

scholarly journals Associations Between Physical Fitness Test Scores And Tibial Bone Microarchitecture In Young Adults Entering Military Training

2021 ◽  
Vol 53 (8S) ◽  
pp. 127-127
Author(s):  
Katelyn I. Guerriere ◽  
Julie M. Hughes ◽  
Soothesuk Kusumpa ◽  
Leila A. Walker ◽  
Mellisa D. Richardson ◽  
...  
Keyword(s):  
Young Adults ◽  
Physical Fitness ◽  
Test Scores ◽  
Bone Microarchitecture ◽  
Military Training ◽  
Physical Fitness Test ◽  
Fitness Test ◽  
Tibial Bone
Sign in / Sign up

Export Citation Format

Share Document