A120: Analyzing the Relationship Between Physical Fitness Test Resultsand YPLQ Scores in Chinese Adolescents

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.

Authors

Institutions

Publication Details

Journal
International Journal of Physical Activity and Health
Published
2024-12-01
DOI
https://doi.org/10.18122/ijpah.3.3.120.boisestate
Primary Topic
Physical Education and Training Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A120: Analyzing the Relationship Between Physical Fitness Test Resultsand YPLQ Scores in Chinese Adolescents

Yuhan Jiang, Xiaotong Dai
International Journal of Physical Activity and Health
Physical Education and Training Studies
article

A120: Analyzing the Relationship Between Physical Fitness Test Resultsand YPLQ Scores in Chinese Adolescents

Yuhan Jiang, Xiaotong Dai
article en

Abstract

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.

International Journal of Physical Activity and HealthVol. 3(3)
Beijing Sport University (CN)
Openalex Percentile: Top 54%
Physical Education and Training Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.