Experience of using physical fitness level tests in schools of european union countries

Background/Purpose: As the future pillars of the country, the physical fitness level of our junior high school students and high school deserves to receive attention as the cornerstone of their study and life. As a part of China's national physical fitness monitoring, student physical fitness monitoring can reflect the current situation of students' physical fitness and health in a more objective way. The Youth Physical Literacy Questionnaire (YPLQ), as a physical fitness assessment tool, can reflect the physical fitness of youth. In this study, descriptive statistics and correlation analyses were conducted to investigate the correlation between the physical fitness scores of students from several junior high schools and high schools in Beijing and Shanghai and the results of the YPLQ. Methods: Questionnaire Survey Method, Test Method, Mathematical Statistics Method. Questionnaire survey method: The physical literacy questionnaire was distributed to the subjects to obtain the results. Test method: The physical fitness test data of the subjects were obtained through the physical fitness test of the students. Mathematical statistics method: SAS 9.4 software was used to statistically analyze the results of the physical fitness test and the questionnaire. Descriptive statistics were first performed for the total scores of the two, and then correlation analysis was performed. A total of 1851 students' physical fitness test results and adolescent physical literacy questionnaire results were included in this study. Results: (1) The total score of the physical fitness test of the subjects was 79.05±10.62 with a minimum score of 27.30 and a maximum score of 100.00. (2) YPLQ score of the subjects was 81.63±6.32 with minimum score of 60.61 and maximum score of 99.57. (3) Correlation coefficient of 0.33 was obtained using Pearson correlation analysis, p < .0001. Conclusion: Through the results of students' physical fitness test in several schools taken, the average score of students' physical fitness test did not reach the level of excellence, the gap between the lowest and the highest scores was large, and students' physical fitness and health levels varied. YPLQ was evaluated in four dimensions, namely, emotional experience, physical ability, physical activity-related behaviors and knowledge comprehension and application ability, and its scores were significantly correlated with the scores of the adolescent physical test. The scores of the YPLQ could reflect the physical health level of the students to a certain extent.

Simple SummaryVitamin D is a fat-soluble prohormone crucial for bone mineralization, muscle contractility, and neurological conductivity. It is theorized that Vitamin D plays an important role in sport performances, especially in young athletes. In this study we examined the associations of levels of 25-hydroxyvitamin D (25(OH)D) with physical fitness and motor-performance achievements in youth soccer players from Southern Croatia. Participants were tested on physical fitness, motor performance and vitamin D at the end of the winter period, when levels of vitamin D are known to be lowest due to low exposure to sunlight. Results showed that deficiency of 25(OH)D was widespread among youth soccer players living in Southern Croatia. Low 25(OH)D levels were associated with lower results in fitness tests (i.e., tests of energetic capacities), but there was no correlation between 25(OH)D levels and the results in motor performance tests (i.e., skill tests). Our results support the theory of the association between vitamin D and energetic capacities of athletes, but there is no evidence on association between vitamin D and skill-based capacities.Vitamin D level is known to be a factor potentially influencing physical fitness, but few studies have examined this phenomenon among youth athletes. We aimed to evaluate the associations of vitamin D levels (as measured by 25-hydroxyvitamin D concentrations—25(OH)D) with various physical fitness and motor performance tests in youth football (soccer) players. This cross-sectional study included a total of 52 youth soccer players (15.98 ± 2.26 years old) from Southern Croatia. The participants were evaluated at the end of the winter period and data were collected of anthropometric measures (body mass and body height), vitamin D status (25(OH)D levels), physical fitness tests (sprints of 10 and 20 m, 20 yards test, the countermovement jump, the reactive strength index (RSI)) and motor performance tests (the soccer-specific CODS, the soccer-specific agility, and static balance). Among the studied players, 54% had 25(OH)D insufficiency/deficiency, showing a lack of 25(OH)D is widespread even in youth athletes living at a southern latitude. The 25(OH)D level was correlated with sprint 20 m, 20 yards tests, and RSI, showing a greater role of 25(OH)D in physical fitness tests where energetic capacity is essential than in sport-related motor performance tests where skills are crucial. Our results support the idea that vitamin D can play a determinant role in physical fitness tests with a clear physiological component, but is not crucial in motor performance tests related to specific sports where skills are a key component. Future studies should investigate the effects of vitamin D supplementation on the performance in physical fitness and motor performance tests among youth athletes.

This study investigates the groundbreaking application of blockchain technology in the realm of student physical fitness testing within colleges and universities. The focus is on constructing a secure, transparent, and traceable data management system to enhance the accuracy and reliability of physical fitness assessments. Using literature review to establish a theoretical basis, logical analysis to clarify technical principles, and cross-disciplinary methods to integrate various perspectives, the study provides an in-depth analysis of how blockchain can be seamlessly incorporated into the student physical fitness testing framework. Physical fitness testing in colleges typically includes evaluations of various health metrics such as aerobic capacity, muscular strength, flexibility, and body composition. Traditional methods for recording and managing these tests often face challenges related to data accuracy, tampering, and privacy. Blockchain technology, with its immutable and decentralized nature, offers a solution by ensuring that fitness test results are securely recorded and cannot be altered once entered into the system. The proposed blockchain-based system incorporates several key components tailored to the needs of student physical fitness assessments. The system includes an authentication module to verify basic student information and a management module to handle test scores and related health data. By employing advanced encryption methods and blockchain platforms like Bei-hang Chain, the system provides robust data protection, ensuring both the privacy of individual student records and the integrity of the test data. One of the system’s innovations is its ability to offer real-time access and verification of fitness data for all relevant stakeholders-students, educational institutions, parents, and regulatory bodies. This transparency helps in monitoring students’ health trends and in making informed decisions about physical education programs and health interventions. Furthermore, the decentralized nature of the system reduces administrative overhead and mitigates risks associated with centralized data storage. The integration of blockchain technology addresses significant issues inherent in traditional physical fitness testing systems, such as data tampering, unauthorized access, and inaccuracies in test results. By ensuring that fitness data is accurate, unalterable, and accessible, the system provides a reliable basis for evaluating and improving student health and fitness. This advancement not only supports more accurate assessments of students’ physical fitness and health but also facilitates the development of evidence-based policies and programs aimed at enhancing student wellness. In summary, the blockchain-based physical fitness testing system represents a transformative approach to managing student health data. It not only provides strong support for accurately reflecting the physical fitness and health status of contemporary college students, but also provides a solid data basis for the government and relevant departments to make more scientific and reasonable health policies and decisions, and has far-reaching positive significance for improving the physical fitness level of college students.

: Purpose: To help evaluate the Army Physical Fitness Test (APFT) and ensure a future test is associated with Soldiers performance of common physical job requirements, the USAPHC applied a Systematic Review (SR) methodology to identify and synthesize published correlations between military task performance and physical fitness tests. Methods: A preliminary step to our SR was to identify key military-relevant tasks and physical fitness components of interest. Starting with the Army's Warrior Tasks and Battle Drills (WTBDs), twelve task categories were identified, including some tasks performed by both military and civilian occupations (e.g., firefighters, police, and athletes). Physical fitness tests were sorted into four physical fitness groups: cardiorespiratory endurance (e.g., aerobic fitness), muscle strength, muscle endurance, and flexibility. Tests of muscular strength and muscular endurance were further subcategorized into Upper and Lower Body, Core, or Whole Body regions. Physical tests included the APFT events (2-mile run, sit ups, push-ups) as well as other equipment and non-equipment physical fitness tests (e.g., jump tests, squats, sprints, pull-ups, grip tests, arm lifts, curls, and various extension machine tests). To synthesize the data, a series of meta-analyses provided pooled correlation coefficients for the twelve tasks and eleven physical fitness test groups. Results: Flexibility tests were the least frequently identified, while upper body strength tests were most frequently identified in studies that met our inclusion criteria. Correlations with aerobic tests were fairly well studied, with a few notable gaps (e.g., the Loaded March task). Pooled r coefficients for specific physical tests (e.g., run tests, push-ups, sit-ups, grip tests, and vertical and broad jump tests) were also calculated. Of the physical fitness component groups evaluated, aerobic capacity is most strongly correlated across the greatest number of military tasks.

In order to solve the problem of slow analysis speed of traditional athletes’ physical fitness data, the research on athletes’ physical fitness data analysis and prediction model based on artificial intelligence was proposed. This paper constructs the data mining and feature extraction model of college students’ physical fitness test, classifies the attributes of college students’ physical fitness test data under the ID3 decision tree model, extracts the rough set and similarity feature quantity of college students’ physical fitness test data, and conducts information fusion and constraint feature decomposition of college students’ physical fitness test data through the method of fuzzy constraint parameter fusion. Then, the branch system of college students’ physical fitness test data of ID3 decision tree is designed to analyze the weight removal index parameters of the evaluation of students’ physical fitness test data management level, extract the entropy weight feature quantity, and realize the management of college students’ physical fitness test data. The experimental results show that the average value of time expenditure obtained by using the method of college students’ finger length ratio physical fitness test is 84 ms, the average value of time expenditure obtained by using the data-driven college students’ training quality evaluation analysis is 69.75 ms, and the average value of time expenditure obtained by using this method is 3.25 ms, The time cost of data management of college students’ physical fitness test in this method is relatively short. Conclusion: The designed data management system for college students’ physical fitness test has good output stability and strong optimization ability, which improves the classification management and information fusion level of college students’ physical fitness test data.

The US Air Force officially implemented Tier 1 health and general physical fitness (PF) tests and standards in 2010 with aerobic and body composition component standards established on professionally recognized health science criteria. Scores reflect degrees of health and general fitness, but do not necessarily reflect task achievement for military occupations, e.g., Battlefield Airmen (BA). PURPOSE: We developed prototype Tier 2 occupationally-specific, operationally-relevant PF tests and standards for BA (PrT), and compared PrT to incumbent BA PF tests and standards (InT) for content, predictive, and consequential validity and gender neutrality. METHODS: An occupationally-based bona fide operational requirements physical demand analysis was conducted for six BA career fields. Analysis identified operationally-required critical physical tasks (CPTs), plus six PF components and 14 physical movement patterns necessary to perform CPTs. CPTs provided the basis for developing physical task simulations (PTSs). Subjects (n = 171, 62 female, mean ± SD; age, 28.5 ± 5.6 yrs) completed 15 PTSs and 39 PF tests to determine the optimal PF test battery for predicting operational task success. Data were analyzed using SAS®. RESULTS: We developed a ten component PrT that addresses all operationally-required PFCs and physical movement patterns whereas the five component InT addresses only two PFCs and eight movement patterns. PrT explained variance in subjects’ PTS performance significantly better (adj R2 78% to 82%) than InT (adj R2 58% to 63%). PrT classification accuracy (PF test scores vs PTS success) was significantly better at 85% correct versus InT at 66% (p < .05). Finally, PrT predicted operational performance equally well across genders; however, InT under predicted male performance by 17% and over predicted female performance by 24%. CONCLUSIONS: The study approach proved efficacious for developing a viable prototype BA PF test. InT has limited validity and pronounced deficiencies in predicting operational task performance; PrT strengthens the validity and mitigates these deficiencies. In addition, PrT meets public law requirements that qualifying PF tests for military specialties be occupationally specific, operationally relevant, and gender neutral.

The physical fitness test index is an index to measure the physical fitness of athletes. It is used to evaluate the performance of athletes in various events. The purpose of this study is to analyze and study the physical fitness test indicators of athletes based on data mining technology. Research methods This study adopts a combination of qualitative and quantitative methods. Researchers used primary and secondary sources in this study. Research method This research method is a combination of qualitative and quantitative methods. This study uses various sources, such as literature review, primary and secondary data collection, interviews, observations, etc. Build a fast association classification model of physical fitness indicators based on improved data mining algorithm to find out the association between physical fitness indicators. The physical fitness evaluation model can efficiently analyze the health level of athletes' physical fitness, providing a new research perspective for physical education and evaluation of physical fitness level. This article takes the analysis of athletes' physical fitness test data as the research object, and studies the principles and methods of data mining technology to solve the problems in the management and analysis process of athletes' physical fitness test indicators. This paper introduces the basic principles, methods, and processes of data mining technology, with emphasis on the principles, methods, and typical algorithms of association rule mining and neural network mining. An algorithm suitable for analyzing tennis players' physical fitness data was proposed and implemented, and applied to the database, discovering unconventional rules.

The aim of the present study was to investigate the effect of secondary school students’ fitness profile on physical and technical–tactical performance in simulated competition conditions of ultimate frisbee when there is no previous experience in the practice of the sport. Forty-three secondary school students participated in this research. The students were divided into two groups according to their results in the Assessing Levels of Physical Activity and fitness test battery (ALPHA fitness test): poor physical fitness (PPF) (N = 24; age: 14.9 ± 0.8 years; height: 166.1 ± 10.9 cm; body mass: 62.2 ± 11.0 kg; ALPHA fitness score: 2.7 ± 0.7 points) and good physical fitness (GPF) (N = 19; age: 14.5 ± 0.6 years; height: 165.9 ± 5.8 cm; body mass: 58.9 ± 7.5 kg; ALPHA fitness score: 4.4 ± 0.3 points). Physical variables during the ultimate frisbee match were assessed using Global Positioning System technology. The matches were video-recorded, and individual technical actions were noted afterwards. The GPF group showed higher values for running (p = 0.039), high-speed running (p = 0.015), sprinting (p = 0.022) and total distance covered (p = 0.025) than the PPF group. In addition, more passes (p = 0.019), offensive decision making (p = 0.009) and player participation (p = 0.046) were recorded in the GPF group than the PPF group. Correlational analysis revealed a positive relationship (p < 0.05) between individual participation and the meters covered for jogging, running, running at high speed and sprinting during the game. In conclusion, although the students were novices in ultimate frisbee, the high physical fitness level had a positive effect on the game performance. Physical education teachers should consider this information when introducing new sports into their physical education classes.

The current geopolitical situation in Eastern Europe makes it mandatory for every soldier to be combat-ready and thus physically prepared. The unit of the Motorized Infantry Brigade of the Land Forces of the National Armed Forces has never had special physical fitness and general physical fitness tests developed for it, which would take into account the specificity of the combat tasks and provisional load of the unit's soldiers, that would allow to assess the soldiers’ ability to perform their service duties and to predict the soldiers’ ability to perform the most important combat exercises, imitating one of the most characteristic combat exercises, such as moving the equipment, ammunition and machinery, passing through various obstacles, evacuating the casualties, changing the firing position, etc. The aim of the study was to create a GPF test based on the analysis of the interrelations between the SPF test control exercises and the GPF test control exercises, which focus on the physically demanding daily/service and training/combat tasks. The research was conducted in several phases from September 2020 to March 2024. Phase I of the Research: - Exploration and analysis of scientific research literature sources and documents. Phase II of the Research: - Development of a questionnaire for soldiers to identify physically demanding daily/service and training/combat tasks; - Surveying soldiers of the MIB LF NAF; - Surveying instructors/GP specialists of the MIB LF NAF units; - Compilation of questionnaire data, statistical processing, and analysis. Phase III of the Research: - Group interview (determination of the MIB LF SPF test). Phase IV of the Research: - Testing of MIB LF NAF soldiers with the SPF test; - Testing of MIB LF NAF soldiers with the NAF GPF test; - Testing of MIB LF NAF soldiers with the GPF test developed by the author and used by the British Armed Forces; - Compilation of PF test results, statistical processing, and analysis. Phase V of the Research: - Development of an experimental NAF GPF test and implementation of recommendations. In the study, 123 professional service soldiers from the MIB LF NAF participated in the survey, and 57 professional service soldiers from the MIB LF NAF participated in the physical fitness tests. Four field tests were used to test the soldiers in the study: one adapted special physical fitness test and three general physical fitness tests. The correlation and regression analysis of the SPF and GPF test control exercises was conducted to test the relationships between the variables – control exercises from the British Armed Forces SPF test and control exercises from the GPF test. By implementing the set work tasks and based on the results obtained, the objective of the work was achieved – the creation, approval, and development of recommendations for the implementation of a scientifically grounded MIB LF NAF SPF and GPF test based on the physically demanding daily/service and training/combat tasks. The hypothesis of the study was confirmed – if the general physical fitness assessment test for soldiers includes control exercises focused on endurance, strength, speed, agility, and their forms of manifestation, then the results will determine the outcomes of the special physical fitness assessment test control exercises relevant to the unit’s specific physically demanding daily and combat tasks. This is evidenced by the test results obtained in the study, which indicate the interrelations between the SPF control exercises, based on the physically demanding daily and combat tasks relevant to the unit's specifics, and the GPF control exercises focused on physical attributes – endurance, strength, speed, agility, and their forms, through performing regression and correlation analysis. The created GPF test control exercises – Beep Test (R = 0.686; p &lt; 0.05), the Illinois Agility Test (R = 0.562; p &lt; 0.05), pull-ups for 4 seconds (R = 0.440; p &lt; 0.05), and standing long jump (R = 0.443; p &lt; 0.05) – show interrelations with one of the five SPF test control exercises identified by the MIB LF NAF – marching, fire &amp; movement, casualty evacuation, simulated stretcher carrying, and repeated lifting and carrying. The GPF control exercise “Deadlift” was included as a whole based on the results of studies conducted by other authors. Based on the results obtained, the GPF test was developed, consisting of the following control exercises to be performed in a specific order: 1) Control exercise – Standing Long Jump; 2) Control exercise – Deadlift; 3) Control exercise – Illinois Agility Test; 4) Control exercise – Pull-ups for 4 seconds; 5) Control exercise – Beep Test. The Doctoral Thesis was developed at the Latvian Academy of Sport Education from 2020 until 2024. Defence of the Doctoral Thesis will take place at the closed session of the Promotion Council of Health Sciences on 6 May 2025 at 15.00 in the Hippocrates Lecture Theatre, 16 Dzirciema Street, Rīga Stradiņš University. 3.3. Health Sciences; Sub-Sector – Sports Pedagogy. Keywords: military service; soldiers; testing; general physical fitness; special physical fitness.

This paper takes the physical fitness test data and the physical health self-assessment data as the research objects. The decision tree algorithm is used to construct a decision tree model for students who fail to meet the physical test. Thus, the classification of students with different physical qualities is realized. The association rule Apriori algorithm is used to mine the association of physical fitness test indexes so as to judge the hidden law between students' physical fitness and behavior habits and get the correlation information of various physical health indexes. The back propagation (BP) neural network algorithm is used to establish the physical fitness test prediction model. By using these data mining models, this paper explores the hidden association information in college students' physical test data, which can provide more scientific and effective guidance for students' physical tests.

Physical fitness lesson that consists of freestyle swimming material, road and field, physical fitness test are one of the practical subjects, becoming one of the aspects that determine the graduation of cadets in the Indonesian naval academy. In order to improve cadets physical fitness, researchers develop a pride learning model using the following stages; (P) understanding concepts, (R) Reflection, (I) Implementation, (D) Drill, and (E) Evaluation. The purpose of this study is to analyze (1) the product of the pride learning model to improve physical fitness, (2) the effectiveness of the pride learning model to improve freestyle swimming abilities, (3) the effectiveness of the pride learning model to improve physical fitness test abilities, (5 ) the difference in effectiveness of the pride learning model compared to old learning. Research type used is research and development, by developing a product and quantitative compared to the documents of the results of the pre-test and post-test groups that are not treated by the learning model. The design and analysis of this study uses Anova. The data collection process uses a T-test for the 50 meter freestyle swimming test, road and field 3000 meters and physical fitness test during the pre test and post test. The results of the study based on the T-test shows that the calculated value between the pre-test and post-test of the group that is not given treatment and that was given treatment with the pride learning model were, (1) the untreated group 76,89 freestyle, 77, 05 road and field and 162.11 physical fitness tests, (2) groups treated with 80.84 freestyle swimming, 82.74 road and field and 269, 47 physical fitness test. Based on the above analysis, it can be concluded that the pride learning model the results of the development of relevant researchers are used in physical fitness learning because there are more differences in results in the treated group than the untreated group. In addition, it can improve the ability of free style swimming, road and field and physical fitness test seen from the results of the T-test.

Haycraft, JAZ, Kovalchik, S, Pyne, DB, and Robertson, S. Classification of players across the Australian Rules football participation pathway based on physical characteristics. J Strength Cond Res 36(3): 702-709, 2022-This study investigated the utility of physical fitness and movement ability tests to differentiate and classify players into Australian Football League (AFL) participation pathway levels. Players (n = 293, age 10.9-19.1 years) completed the following tests; 5-m, 10-m, and 20-m sprint, AFL planned agility, vertical jump (VJ), running VJ, 20-m multistage fitness test (MSFT), and athletic ability assessment. A multivariate analysis of variance between AFL participation pathway levels was conducted, and a classification tree determined the extent to which players could be allocated to relevant levels. The magnitude of differences between physical fitness and movement ability were level-dependent, with the largest standardized effect size (ES) between Local U12, Local U14, and older levels for most physical fitness tests (ES: -4.64 to 5.02), except the 5-m and 10-m sprint. The 20-m, 5-m, AFL agility, 20-m MSFT, overhead squat, and running VJ (right) contributed to the classification model, with 57% overall accuracy reported (43% under cross-validation). National U16 players were easiest to classify (87%), while National U18 players were most difficult (0%). Physical fitness tests do not seem to differentiate between players after selection into AFL talent pathway levels. Other attributes (i.e., skill, psychological, and sociocultural) should be prioritized over physical fitness and movement attributes by selectors/coaches when considering selection of talented players.

The objective of this study was to analyze independently the results of a 'sport test' that had been conducted in Japanese schools for 34 years without interruption, and to examine how physical education in Japanese schools affects health promotion in youths and what problems remain to be solved. The source of materials for the present study were the Annual Reports on the Survey of Physical Fitness and Athletic Ability for the period 1965-1998, published by the Ministry of Education, Science, Sports and Culture. Means and standard deviations of total scores from physical fitness and athletic ability tests in 11-year-olds (6th graders in elementary school), 14-year-olds (3rd graders in junior high school) and 17-year-olds (3rd graders in senior high school) were analyzed. The results of this study suggest that the trends of changes in mean score and coefficient of variation (CV) for physical fitness and athletic ability in Japanese youths are associated with the outcome of physical training through physical education in school, as well as the effect of the media--mainly television and television games. (1) The increase in mean scores and the decrease in CV observed from 1964 to the first half of the 1970s were probably due to the positive influence of the Guideline for Teaching. This guideline emphasized a systematic approach to athletic techniques, together with active practice of physical fitness training in schools, under the directives of the Boards of Education in response to the social 'Physical Fitness Campaign' policy at that time. (2) The leveling off of mean scores and CVs observed from the early half of the 1970s to the later half of the 1980s might be a result of the invasion of television into Japanese family life. (3) The decrease in mean scores and increase in CV observed since the later half of the 1980s were assumed to be caused by the negative influence of a Guideline for Teaching characterized by the key words 'Physical Education for More Pleasure' and a steep increase in the number of television games. (4) In terms of methodology, analyzing not only the mean scores but also the CV probably provided a more accurate evaluation of the outcome of health promotion in youths. In conclusion, strategies for health promotion in youths, especially for proper nurturing of physical fitness and athletic ability, should include not only delivery of physical fitness training in schools, but also continuous monitoring of multiple indicators, and ensuring proper 'Learning of the Body'. The latter should include providing learning opportunities centering on the 'body' (not the 'body' for the sake of labour or military manpower, but one's own 'body' per se); guiding young people to recognize the states of their own body and physical fitness, and to understand how they can be improved. To be effective in implementation, the need to increase the number of professional teachers in physical education should be examined. All possible opportunities should also be taken to inform youths of the negative effects of television and television games, and to encourage them to spend less time on these and more time being physically active from the moment they arise.

Most working students have to balance their time for their family, work, and studies. The aim of this paper is to determine the exercise behavior and physical fitness of working graduate students. The objective is to be able to relate their exercise behavior with their physical fitness. Forty (40) students of a college in Metro Manila were purposely selected for this study. Students belong to two (2) MBA classes. All were working students at the time of the tests. Exercise behavior was limited to frequency, duration and intensity of the exercises. Medical physical fitness tests and standards from the Department of Education (DepEd) were used to gauge the fitness of the students. Medical fitness tests identified by DepEd are: body mass index (BMI), Flexibility Tests: Zipper and Sit-and-Reach, Cardio vascular 3-minutes step test, and strength test, push-up and curl-up tests. Quantitative descriptive research was used. Mean was used to determine the percentage of the exercise behaviors and the physical fitness of the students. Chi-square was used to test the relationship between the exercise behavior and results of the physical fitness tests of the students. Under behavior, results show that majority of the students (75%) exercise once to 3 times a week from 75 to 300 minutes. The intensity of their exercises is moderate. Physical fitness tests show that 42.5% of the students have normal body mass index. Majority passed their flexibility, cardiovascular and strength tests, Chi-square results show that: There is significant relationship between exercise duration and the physical fitness curl-up test. There is significant relationship between the intensity of the exercises and the physical fitness curl-up test. All other physical fitness tests show no significant relationship to frequency, duration and intensity of the exercises. School Management are encouraged to conduct physical fitness tests every year to track students’ physical fitness. Results will help in initiating plans to improve students’ exercise behaviors.

We usually find low levels of fitness condition affect other aspects of living for people with ID like dependency in carrying out activivities of daily living. Therefore we find high levels of dependency in activities of daily living due to poor fitness condition. The aim of the study is to explore the criterion validity of the Barthel index with a physical fitness test. An observational cross-sectional study was conducted. Data from the Barthel index and a physical fitness test were measured in 122 adults with intellectual disability. The data were analysed to find out the relationship between four categories of the physical fitness test and the Barthel index. It needs to be stressed that the correlations between the Barthel index and leg, abdominal and arm strength can confirm that these physical test are predictive of the Barthel index. The correlations between the balance variables as functional reach and single-leg stance with eyes open shown relationships with Barthel Index. We found important correlations between the physical fitness test and the Barthel index, so we can affirm that some physical fitness features are predictor variables of the Barthel index.