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Contributed equally to this work with: Shengting Dai, Qian Qiu, Yuancai Zhang, Jingfei Yan, Rongbin Yin
Roles Conceptualization, Data curation, Funding acquisition, Writing – original draft
Affiliation School of Sports Science and Engineering, East China University of Science and Technology, Shanghai, China
Roles Data curation, Investigation, Methodology, Software, Writing – review & editing
Affiliation Physical Education College, Xuchang University, Xuchang, China
Roles Methodology, Resources, Supervision, Validation
Affiliation College of Physical Education and Health, East China Normal University, Shanghai, China
Roles Conceptualization, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing
* E-mail: [email protected] (JY); [email protected] (RY)
Affiliation Ministry of Physical Education, Shanghai Institute of Technology, Shanghai, China
Roles Methodology, Supervision, Validation, Writing – review & editing
Affiliation School of Physical Education, Soochow University, Suzhou, China
In recent years, the growing incidence of health issues among Chinese students, including obesity, diabetes, and other chronic diseases, has been attributed to a sedentary lifestyle, lack of physical activity, and unhealthy eating habits. Physical education (PE) classes play a crucial role in promoting physical activity and fostering healthy lifestyles among Chinese students. The purpose of this study was to investigate the influence of the healthy PE curriculum model on the sports ability of senior high school students in China. The trial adopted a quasi-experimental design with equivalent groups. The experimental group followed the healthy PE curriculum model in their PE classes, while the control group received traditional technical instruction. During the 12-week intervention, 149 senior high school students completed the sports ability test as both the pre-test and post-test measurements for this experimental study. The results indicated that the experimental group showed significant improvements in sports ability compared to the control group, highlighting the positive effects of the healthy PE curriculum model. The structural characteristics of the healthy PE curriculum model provided essential support for students’ learning and proved to be an effective way to promote physical literacy among senior high school students in China.
Citation: Dai S, Qiu Q, Zhang Y, Yan J, Yin R (2024) An experimental study on the influence of healthy physical education curriculum model on sports ability of Chinese senior high school students. PLoS ONE 19(5): e0298858. https://doi.org/10.1371/journal.pone.0298858
Editor: Preeti Kanawjia, GSVM Medical College, INDIA
Received: June 8, 2023; Accepted: February 1, 2024; Published: May 14, 2024
Copyright: © 2024 Dai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All data files are available from the DRYAD database: https://datadryad.org/stash/share/tP5af3E1HsllsF8bjCxfVtemLPPGNzDQBM0Orgn56c4 .
Funding: The funding for this research was made possible through the generous support of several grants: [East China University of Science and Technology Exploratory Research Fund Project]: This grant, awarded by [East China University of Science and Technology], grant number [JKL02222201], played a pivotal role in funding the initial stages of our research, including data collection and preliminary analyses. [Shanghai Educational Science Research Project]: We also received support from [Shanghai Municipal Commission of Education], grant number [C2023025], which significantly contributed to the development of our experimental design and the execution of specific research protocols. [contribution to study design, data curation, funding acquisition, decision to publish, and preparation of the manuscript, etc.]
Competing interests: The authors have declared that no competing interests exist.
Physical education plays a crucial role in the development and well-being of students, especially during their formative years in senior high school [ 1 , 2 ]. With the growing concern for the sedentary lifestyles and poor health habits of today’s youth, there is a need for innovative physical education models that can help promote healthy lifestyles and enhance sports abilities [ 3 ]. In recent years, China has witnessed a dramatic increase in the number of students who suffer from health issues due to lack of physical activity [ 4 , 5 ]. The traditional physical education curriculum model in China is exam-oriented, which means that students focus mainly on achieving good grades rather than improving their physical fitness [ 6 ]. Therefore, there is a need to evaluate the effectiveness of physical education curricula in promoting physical activity and improving sports ability among Chinese senior high school students [ 7 ].
To effectively advance the implementation of China’s new primary and secondary school curriculum standards and foster the development of students’ core competencies in physical education and health, Professor Ji Liu, who led the 2015 National Primary and Secondary School Physical Education and Health Curriculum Standards Development and Revision Group and is associated with East China Normal University, drew inspiration from the” National Medium and Long-term Education Reform and Development Plan (2010–2020).”Guided by the fundamental principles outlined in the national “Physical Education and Health Curriculum Standards” for primary and secondary schools, Professor Ji Liu amalgamated international insights from physical education curriculum models and domestic best practices. This culminated in the proposal of a comprehensive physical education and health curriculum model, aptly named “The Healthy Physical Education Curriculum Model(HPECM),which harmoniously blends an international perspective with distinctively Chinese characteristics [ 8 ]. HPECM ( Table 1 ) plays a pivotal role in driving the implementation of the national”Curriculum Standards” in the domain of physical education and health. It not only aligns with the principles and ethos of the “Curriculum Standards” but also offers clear guidance and methodologies to address critical issues in curriculum development, as articulated by Professor Ji Liu in 2015.
https://doi.org/10.1371/journal.pone.0298858.t001
This model adopts a comprehensive curriculum perspective, operating within the framework of curriculum discourse. It encompasses the holistic design of the curriculum, ranging from modules to individual units, with a strong emphasis on effective curriculum implementation. This approach outlines overarching requirements and specific implementation strategies."
The main purpose of the Healthy Physical Education Curriculum Model is to solve the problem of the continuous decline in the physical health level of Chinese teenagers in the past 30 years. The implementation of the Healthy Physical Education Curriculum Model requires grasping three key points: sports skills, physical fitness, and exercise load. In terms of sports skills, structured skill learning and practice are emphasized. Whether it is a new teaching or a review class, attention should be paid to activities and competitions, and single-skill teaching should be rejected, with time maintained at around 20 minutes (a 40-minute class as an example). In terms of physical fitness, diversified, interesting, and compensatory physical fitness design is emphasized, with time maintained at around 10 minutes. In terms of exercise load, it is emphasized that the average heart rate of students in the classroom should reach 140–160 times per minute, and the continuous exercise time of students should account for about 75% of the total class time. It should be noted that the exercise time of each student does not need to reach 75% of the total class time, but the teacher should arrange the entire activity time to not exceed 25% of the total class time in a static state. The structural characteristics of the Healthy Physical Education Curriculum Model not only help improve students’ sports ability but also contribute to the cultivation of students’ physical literacy [ 9 ].
Physical education curriculum models have been developed to address this issue and improve the quality of PE programs. Several studies have examined the effectiveness of the HPECM in improving sports ability outcomes among youth [ 10 , 11 ]. However, most of these studies have focused on elementary and middle school students. There is a need for research on the influence of the HPECM on sports ability among senior high school students. Therefore, the aim of this experimental study is to investigate the influence of HPECM on the sports ability of Chinese senior high school students. The study seeks to evaluate whether a curriculum model that emphasizes healthy physical activity can improve the sports ability of students and promote a more active lifestyle.
2.1 study design.
Before the experimental research, the teacher of the experimental group was trained in the theory and practice of the healthy physical education curriculum model and achieved satisfactory training results. According to the school facilities, teachers’ characteristics, and students’ learning experience, the teaching experiment theme is basketball. Basketball teaching lasts for 12 weeks, two classes per week, for a total of 24 classes, each class lasting 80 minutes.
The experimental group firmly grasped the three key points of the healthy physical education curriculum model, and the teaching plan was jointly written between researcher and teacher after discussion. The control group implements routine teaching [ 12 ], that is, technical-traditional teaching, which has the following remarkable characteristics: The average heart rate of students in the whole class is less than 140 beats/min; Mainly adopts single movement skill teaching; There is no special physical exercise in the class. During the 12-week intervention period, all students completed the test of sports ability variables two times as the pre-test and post-test of this experimental study.
During the experiment, it is important to minimize the influence of irrelevant factors on the results. The control process mainly involves the following aspects: using identical teaching materials for both groups; ensuring that the teaching time is the same for both groups; adjusting the amount of teaching based on the weather and various school activities that may affect the experiment; to reduce experimental errors caused by differences in teaching styles and abilities among different teachers, the experimental and control groups are taught by the same teacher, and the experimental teacher is instructed to strictly follow the experimental plan while the control group should not intentionally imitate the experimental group’s teaching. Both the experimental and control groups were the students’ usual teachers. The principal investigator is present to assist and correct any problems that arise to ensure the effectiveness of the experimental teaching in the experimental group.
Inclusion/exclusion criteria :
Inclusion Criteria :
Educational Level: Participants must be currently enrolled high school students attending physical education classes.
Grade Range: Participants must specifically be high school sophomores.
Prior Physical Education Experience: Eligible participants should have successfully completed at least one year of physical education coursework.
Consent: Prior to participation, written informed consent is mandatory from both the students and their legal guardians.
Exclusion Criteria :
Medical Conditions: Participants with documented cardiovascular or respiratory conditions that may be adversely affected by physical activity will be excluded from the study.
Advanced Knowledge of Experimental Methods: Students possessing prior exposure or training in the experimental teaching methods under investigation will be excluded from participation.
These criteria aim to ensure a clear definition of the study’s target population, emphasizing the requisite educational level, grade, and prior experience in physical education. The inclusion of specific exclusion criteria serves to safeguard participant safety and maintain the integrity of the experimental design. Obtaining written informed consent further underscores the ethical considerations of the study.
Intervention condition and the control condition :
Intervention Condition: The intervention condition centers on the application of The Healthy Physical Education Curriculum Model (HPECM). Grounded in contemporary pedagogical theories, HPECM seamlessly integrates cutting-edge teaching strategies tailored to elevate student engagement, facilitate skill acquisition, and optimize overall outcomes in physical education. This intervention marks a departure from conventional didactic methods, introducing a student-centric paradigm. HPECM adopts an innovative approach by incorporating technology-assisted learning tools, personalized feedback mechanisms, and collaborative learning experiences. The overarching objective is to create an enriched educational environment that transcends traditional instructional practices.
Control Condition: To mitigate potential experimental errors arising from variations in physical education teaching methods, basketball is consistently chosen as the focal subject for this study. In addressing potential confounding factors linked to diverse teaching styles and instructor capabilities, a meticulous control strategy is implemented. Specifically, both the experimental and control classes within the same academic period are instructed by the same teacher. To ensure consistency, explicit instructions are provided to the experimental teachers, mandating adherence to the experimental plan. Conversely, the control class is advised against intentionally mimicking the experimental conditions. Throughout the teaching sessions, the experimental instructor actively engages in problem-solving, offering assistance and corrections promptly.
The research study selected second-year students from a high school in Shanghai as research objects. Class selection was conducted through a randomization procedure. A random number generator was employed to allocate classes to either the experimental or control group. This approach aimed to ensure an unbiased selection process and create comparable groups at the study’s outset. Two classes from the second grade of high school were randomly selected as Experimental Group 1 (girls class) and Experimental Group 2 (boys class) due to the influence of class division teaching. Additionally, two classes were randomly selected as Control Group 1 (girls class) and Control Group 2 (boys class). Students were asked about their past medical history, family genetics, cardiovascular disease status, etc., to rule out potential risks in sports. There were 76 students in the experimental group (36 boys and 40 girls), and 73 students in the control group (35 boys and 38 girls). Please refer to Table 2 for the mean and standard deviation of the age, height, and weight of students in each experimental class and control class. During the process of recruiting subjects, there were no refusals to participate, and all subjects participated fully in the teaching experiment.
https://doi.org/10.1371/journal.pone.0298858.t002
Prior to conducting the study, ethical approval was granted by the University Committee on Human Research Protection (UCHRP) of East China Normal University. The research protocol, including the participant consent process, was reviewed and approved by the UCHRP under protocol number [Approval Number: HR 095–2019].
All participants in this study were voluntary respondents selected by the research panel. They were provided with detailed information about the study’s purpose, procedures, potential risks, and benefits. Participants were assured that their responses would be treated as strictly confidential and anonymous. The confidentiality of their data was maintained throughout the research process. Participants provided written informed consent to participate in this study. In accordance with the approved protocol, each participant confirmed their willingness to participate by endorsing the following statement on a paper questionnaire: "I voluntarily consent to participate in this research project. I understand that my participation is entirely voluntary and that I have the right to withdraw from the study at any point without any negative consequences."
Data were collected over a period of 3 months (From October 2020 to December 2020), incorporating pre-test and post-test measurements. The data collection process comprised the following steps:
Pre-Test Assessment: Prior to the intervention, baseline measurements were obtained to assess the initial sports ability level of the participants.
Post-Test Assessment: Following the intervention period, post-test measurements were conducted to evaluate the impact of the healthy physical education curriculum model. The same assessment components used in the pre-test were administered to both the control and intervention groups. The post-test assessments use the same standardized protocols and equipment as the pre-test.
2.5.1 motor skill intervention program..
The motor skill exercises for both the experimental and control groups were standardized to focus on basketball. This design was implemented to eliminate potential interference from varying motor skill exercises on the experimental results [ 13 – 16 ]. The design of motor skill instruction in the experimental group adhered to the guidelines set forth by the HPECM for motor skill teaching. Structured basketball skill instruction was employed to empower students to master a comprehensive set of motor skills. The approach advocated against the exclusive teaching of isolated techniques, instead emphasizing theintegration of basketball learning within practical activities and competetive scenarios. During basketball instruction, a priority was placed on minimizeing breaks, optimizing group dynamics, and enabling students to engage in supplementary exercises during idle moments. Teachers also reinforced precise movement techniques, encouraged cooperative practice, and instilled a sense of courage and initiative.
The principles governing physical fitness program design were aligned with the requirments of the HPECM. These princples were thougfully talored to suit the unique physical and psychological characteristics of high school students:
The intervention principles of the motor cognitive ability intervention plan were formulated in accordance with the spirit of the HPECM and the contemporary teaching philosophy. These principles were strategically designed to accommodate the physical and psychological development characteristics inherent to high school students. Within the classroom setting, students were introduced to motor cognitive ability related knowledge through engaging PowerPoint presentations. Experimental teachers placed a strong emphasis on cultivating student’s motor cognitive ability throughout the teaching process. For instance, during warm-up exercises, teachers underscored the critical role of preparation activities in injury prevention and highlighted the benefits of relaxation in alleviating exercise-related fatigue.
The assessment of sports ability includes three aspects: motor skills, physical fitness, and motor cognitive ability. Motor skills mainly include single skill assessment, combination skill assessment, and performance assessment in competition. Physical fitness tests mainly include indicators such as body composition, muscle strength, muscle endurance, Cardiopulmonary function, speed, flexibility, and agility. Motor cognitive ability is mainly assessed using scale tests. See Table 3 for specific details.
https://doi.org/10.1371/journal.pone.0298858.t003
Testing Protocol:
Single Techniques: Participants are assessed on fundamental basketball skills, including shooting. Each participant is given a specific task, and their execution is observed and rated based on established criteria.
Combination Techniques: This segment evaluates participants’ ability to seamlessly integrate various basketball skills. The task is passing and shooting, assessing the fluidity and effectiveness of their execution.
Match Performance: Participants engage in a simulated basketball game, applying their skills in a dynamic and competitive context. This allows for the assessment of strategic decision-making, teamwork, and adaptability during actual gameplay.
Evaluation Method:
Three experienced teachers serve as evaluators for each test, ensuring a comprehensive and reliable assessment. Each teacher scores participants independently based on predefined criteria for each skill and performance aspect. The final score for each participant is derived by calculating the average of the three individual scores.
Scoring Criteria:
1.Single Techniques
[85 points—100 points] Standard Attainment (70%): 6 males, 4 females; Technical Evaluation (30%): Demonstrates accurate posture and distinct finger flicking motion.
[75 points—84 points] Standard Attainment (70%): 4 males, 3 females; Technical Evaluation (30%): Exhibits relatively accurate posture with noticeable finger flicking motion.
[60 points—74 points] Standard Attainment (70%): 3 males, 2 females; Technical Evaluation (30%): Displays accurate posture with no discernible finger flicking motion.
[59 points and below] Standard Attainment (70%): 2 males, 1 female; Technical Evaluation (30%): Features inaccurate posture with no discernible finger flicking motion.
2.Combination Techniques
[85 points—100 points] Exceptional proficiency in passing and dribbling, demonstrating accurate passing, a correct and effortless shooting motion, and seamless coordination in passing, receiving, and shooting. Males complete the task within 45 seconds, and females within 56 seconds, with a successful shot count of 3 or more.
[75 points—84 points] Competent in passing and dribbling, showcasing correct shooting form and excellent coordination. Males complete the task within 50 seconds, and females within 60 seconds, with a successful shot count of 2 or more.
[60 points—74 points] Adequate execution of passing and shooting, albeit with slightly weaker coordination. Males complete the task within 55 seconds, and females within 65 seconds, with a successful shot count of 1 or more.
[59 points and below] Notable errors and significant mistakes in passing and shooting. Males complete the task in 55 seconds or more, and females in 65 seconds or more, with a successful shot count of 0.
3. Match Performance
[85 points—100 points]Personal Attack Ability: Proficient utilization of offensive skills (shooting, penetration, break, pass, and catch the ball) with a rational and skilled approach.Defensive Ability: Demonstrates strength in individual defense and cooperative defense skills.Tactical Awareness: Exhibits a robust individual tactical action ability, quick transition between attack and defense, and a keen sense of fast attack throughout the entire game.
[75 points—84 points]Personal Attack Ability: Displays a reasonable and skilled application of offensive techniques (throwing, sudden moves, passing).Defensive Ability: Strong performance in individual defense and cooperative defense. Tactical Awareness: Possesses a strong individual tactical action ability, fast attack and defense transition speed, and a heightened consciousness of fast attacks throughout the game.
[60 points—74 points]Personal Attack Ability: Demonstrates a general level of rationality and proficiency in utilizing offensive techniques (throwing, leaping, passing).Defensive Ability: Displays average individual defense and coordination defense skills. Tactical Awareness: Possesses a moderate individual tactical action ability, with a general speed in attack and defense transition, and a reasonable awareness of fast attacks throughout the game.
[59 points and below]Personal Attack Ability: Shows poor and unskilled use of offensive techniques (throwing, sudden moves, passing).Defensive Ability: Exhibits poor individual defense and cooperative defense skills. Tactical Awareness: Displays weak individual tactical action ability, slow offensive and defensive transition speed, and a poor consciousness of fast attacks throughout the entire game.
The body composition test includes two indexes: Percentage of Body Fat (PBF) and Waist-Hip Ratio (WHR). PBF is measured primarily by the Jawon body composition analyzer [ 17 ]. WHR is calculated by measuring the waist and hip circumference using a soft ruler, with measurements taken twice on each side and then averaged [ 18 ].
The cardiopulmonary function test includes two indicators: vital capacity [ 19 ] and a 20-meter shuttle run test [ 20 ]. Vital capacity is measured using an electronic spirometer. The 20-meter shuttle run test requires students to run back and forth between two lines that are 20 meters apart in time with the music. As the test progresses, the music speed increases. If a student cannot reach the endpoint within the required time twice in a row, the test is stopped, and the score is recorded as the number of completed 20-meter shuttles, with the unit being "times."
The muscle strength test includes two indicators: upper limb muscle strength, measured by grip strength [ 21 ], and lower limb muscle strength, measured by standing long jump [ 22 ]. For the grip strength test, the subject stands upright with their feet shoulder-width apart, arms hanging down, and palms facing inward. They then squeeze the inner and outer handles of a dynamometer with maximum effort, and the score is recorded in "kg" units. Each subject is measured twice, and the best score is taken. For the standing long jump test, the subject stands behind the take-off line with their feet together and jumps forward as far as possible without stepping or jumping in place. The distance from the take-off line to the nearest landing point is measured vertically, and the score is recorded in "m" units. Again, two measurements are taken, and the best score is taken.
The muscle endurance test measures a student’s ability to complete as many sit-ups as possible within one minute [ 23 ]. To start, the student lies down on a soft pad with their knees bent at a 90-degree angle and their hands interlaced behind their head. The examiner holds the student’s ankles on both sides, fixing their feet to the ground. Upon hearing the ’start’ command, the student completes the sit-up motion by pulling in their stomach and touching or crossing their elbows over their knees before returning to the starting position. One point is awarded for each successful sit-up completed. The examiner records the number of completed sit-ups in one minute, using "times" as the unit of measurement.
The indicator for the flexibility test is the sit-and-reach test [ 24 ]. Firstly, the teacher explains the test requirements and demonstrates. During the test, the subject sits with their feet flat against the vertical board of the measuring device, with their legs straight and not bent, and their arms straight and extended forward, pushing the cursor with their fingertips until they can no longer reach forward. Each subject is tested twice, and the best score is recorded in "cm" units.
The indicator for the speed test is the 50-meter run [ 25 ]. Firstly, the teacher explains the test requirements and organizes the students to conduct sufficient warm-up exercises. During the test, two people are tested in each group. The subjects stand at the starting line and begin to run when they hear the "run" command. The starter waves the flag at the same time as the command is given, and the timer starts timing when the flag moves. The stopwatch stops when the subject’s chest reaches the vertical plane of the finish line, and the score is recorded in "S (seconds)." The test requires the subjects not to false start, and any false starters will be called back for a restart.
The agility test is measured by the 20-second shuttle run [ 26 ], as illustrated in Fig 1 . The subject assumes a squatting position with legs straddling the center. Upon hearing the start signal, they swiftly move to the right side and repeatedly shuttle back and forth in the order of "center→right→center→left→center…". Each time the subject crosses a line, it is counted as one, and the number of crossings completed within 20 seconds is recorded. The test is performed twice, and the best score is recorded in "times" units.
https://doi.org/10.1371/journal.pone.0298858.g001
This study used a Motor Cognitive Ability Scale, which was targeted at senior high school students and included two dimensions: motor cognition and physical fitness awareness, with a total of 9 items. The "motor cognition" dimension reflected senior high school students’ knowledge and methods of sports activities, appreciation of sports, and information about sports events. The "physical fitness awareness" dimension reflected information about senior high school students’ physical development. The scale used a 5-level Likert rating, where scores from 1 to 5 were calculated based on the degree of understanding of the theme, ranging from low to high, such as "I understand the competition rules of the sports I have learned." To assess internal consistency, we calculated Cronbach’s alpha for the scale. The standardized Cronbach’s α coefficient values of the two dimensions of sports cognition and physical fitness awareness of the scale are 0.897 and 0.865 respectively, and the standardized Cronbach’s of the scale is 0.918. To assess construct validity, we conducted exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).The χ2 /df for the scale is 2.839. The goodness-of-fit indces, GFI, CFI, NFI, TLI, and IFI, are 0.977, 0.987,0.980, 0.978, and 0.987, respectively. The RMSEA is 0.058, and the RMR is 0.029. All the fitting indexes met the standard of good fit and met the statistical requirements.
The experiment utilizes a single-factor two-group pretest-posttest design, with covariance analysis applied to process the experimental data. The pretest scores of the test indicators are treated as covariates, and the group (consisting of an experimental class and a control class) is treated as the independent variable. The posttest scores of the test indicators are used as the dependent variables. By analyzing the changes in the physical literacy-related indicators of sports and health subjects in both the experimental and control classes, the effectiveness of the experimental intervention can be determined. If there is no significant difference in the changes of the related test indicators between the two classes, a paired sample t-test is conducted to examine whether there is a significant improvement in the post-test results of each class’s related indicators.
This section may be divided by subheadings. It should provide a concise and precise description of the experimental results, their interpretation, as well as the experimental conclusions that can be drawn.
Table 4 provides descriptive statistics for the motor skill results of the experimental and control groups. The results are presented separately for each variable and by gender.
https://doi.org/10.1371/journal.pone.0298858.t004
For the 1-minute shooting task, the mean scores for both girls and boys in the experimental groups increased from pre-test to post-test. The girls in the experimental group improved their mean score by 8.17 points ( SD = 4.94), while the boys in the experimental group improved by 3.85 points ( SD = 11.10). The control groups also saw an increase in mean scores from pre-test to post-test, with girls improving by 5.65 points ( SD = 6.34) and boys improving by 2.06 points ( SD = 12.09). However, the experimental group showed a larger improvement in mean scores compared to the control group. For the passing and cutting coordination task, the mean scores for both girls and boys in the experimental groups increased from pre-test to post-test. The girls in the experimental group improved their mean score by 4.89 points ( SD = 4.92), while the boys in the experimental group improved by 5.39 points ( SD = 8.96). The control groups also showed an increase in mean scores from pre-test to post-test, but the improvement was smaller compared to the experimental group. The girls in the control group improved their mean score by 2.26 points ( SD = 3.43), while the boys in the control group improved by 3.85 points ( SD = 8.08). For the game performance task, the mean scores for both girls and boys in the experimental groups increased from pre-test to post-test. The girls in the experimental group improved their mean score by 5.71 points ( SD = 6.21), while the boys in the experimental group improved by 5.30 points ( SD = 4.47). The control groups also showed an increase in mean scores from pre-test to post-test, but the improvement was smaller compared to the experimental group. The girls in the control group improved their mean score by 4.132 points ( SD = 5.02), while the boys in the control group improved by 3.28 points ( SD = 5.72).
Overall, the experimental groups showed greater improvement in mean scores from pre-test to post-test compared to the control groups across all three tasks. The results suggest that the intervention had a positive impact on the motor skills of both girls and boys.
The results of the covariance analysis are shown in Table 5 . After controlling for the pre-test scores of male and female students in each class during the second year of high school, the post-test scores of the experimental group were significantly higher than those of the control group. Specifically, in terms of passing and cutting coordination, male and female students in the experimental group showed significantly higher scores than those in the control group. Moreover, in basketball games, the post-test scores of male and female students in the experimental group were also significantly higher than those in the control group after controlling for their pre-test scores. These findings suggest that adopting the Chinese Healthy Physical Education Curriculum model can effectively enhance the sports skills of second-year high school students, in comparison with traditional physical education teaching methods.
https://doi.org/10.1371/journal.pone.0298858.t005
Table 6 presents the descriptive statistics of the physical fitness results, including the pre-test and post-test mean scores and standard deviations for each dimension, variable, gender, and group.
https://doi.org/10.1371/journal.pone.0298858.t006
In terms of body composition, the experimental class 1 for girls and boys’ experimental class 2 had a slightly lower post-test mean score for percent body fat (PBF) compared to their respective control classes, although the difference was minimal. A similar trend was observed in waist-to-hip ratio (WHR), where the girls’ experimental class 1 and boys’ experimental class 2 had slightly lower post-test mean scores compared to their respective control classes. Regarding cardiopulmonary function, both the girls’ experimental class 1 and boys’ experimental class 2 had higher post-test mean scores for vital capacity compared to their respective control classes. For the 20-meter shuttle run, both girls’ and boys’ experimental classes had higher post-test mean scores compared to their respective control classes. In terms of muscle strength, the girls’ experimental class 1 and boys’ experimental class 2 had higher post-test mean scores for grip strength compared to their respective control classes. However, for standing long jump, there was no significant difference observed between the experimental and control classes. For muscle endurance, the girls’ experimental class 1 and boys’ experimental class 2 had higher post-test mean scores for 1-minute crunches compared to their respective control classes. Regarding flexibility, the girls’ experimental class 1 and boys’ experimental class 2 had higher post-test mean scores for seated forward bend compared to their respective control classes. Finally, in speed and agility, the experimental classes had slightly better post-test mean scores compared to their respective control classes.
In summary, the experimental classes showed an overall improvement in physical fitness in most dimensions, variables, genders, and groups compared to the control classes. However, the differences were sometimes minimal and not significant, indicating a need for further investigation and analysis of the results to determine the effectiveness of the physical fitness intervention.
The results of the covariance analysis are shown in Table 7 . Using pre-test scores as covariates, the study found that the post-test scores of male students in the experimental class were significantly lower than those of male students in the control class in terms of percent body fat (PBF), while there was no significant difference in PBF between female students in the experimental and control classes. The study also found that the experimental class had significantly lower waist-to-hip ratio (WHR) and significantly higher lung capacity, 20-meter shuttle run, grip strength, and standing long jump scores compared to the control class for both male and female students. Additionally, the experimental group had significantly higher scores on one-minute sit-ups and the 20-second shuttle run compared to the control group for both male and female students. However, the experimental group had significantly lower scores on the 50-meter run compared to the control group for both male and female students. The study concluded that using the Chinese Health and Physical Education Curriculum model can significantly improve physical fitness outcomes among male and female students in the second year of high school.
https://doi.org/10.1371/journal.pone.0298858.t007
Table 8 presents the descriptive statistics for the motor cognitive ability results, specifically for the variables of motor cognition and physical fitness awareness.
https://doi.org/10.1371/journal.pone.0298858.t008
For the variable of motor cognition, the experimental class 1 for girls had a lower pre-test mean score compared to the control class 1, but this difference was not statistically significant. However, the experimental class 1 had a higher post-test mean score compared to the control class 1, and this difference was statistically significant. For boys, the experimental class 2 had a lower pre-test mean score compared to the control class 2, but this difference was not statistically significant. The experimental class 2 had a higher post-test mean score compared to the control class 2, and this difference was statistically significant.
For the variable of physical fitness awareness, the experimental class 1 for girls had a slightly higher pre-test mean score compared to the control class 1, but this difference was not statistically significant. The experimental class 1 had a significantly higher post-test mean score compared to the control class 1. For boys, the experimental class 2 had a lower pre-test mean score compared to the control class 2, but this difference was not statistically significant. The experimental class 2 had a significantly higher post-test mean score compared to the control class 2.
In summary, the experimental classes showed improvement in motor cognitive ability in terms of motor cognition and physical fitness awareness compared to the control classes. The differences were statistically significant for most comparisons, except for the pre-test mean scores in some cases. These results suggest that the physical fitness intervention had a positive impact on the motor cognition of the students. However, further research is needed to fully evaluate the effectiveness of the intervention.
Table 9 presents the results of a covariance analysis investigating the impact of gender and group membership on motor cognition and physical fitness awareness in experimental and control groups. The analysis revealed significant differences between the two groups in both variables. Girls in the experimental group scored higher in motor cognition and physical fitness awareness compared to girls in the control group. The same trend was observed for boys in the experimental group, who outperformed boys in the control group in both variables.
https://doi.org/10.1371/journal.pone.0298858.t009
These results suggest that incorporating motor activities into the curriculum can positively affect motor cognition in students, particularly in motor cognition and physical fitness awareness. Gender differences were also observed, emphasizing the importance of considering gender when designing interventions to enhance motor cognition in school settings. These findings can inform future instructional approaches to promote motor cognitive abilities among students.
4.1 motor skill.
The study measured motor skills using three tasks: 1-minute shooting, passing and cutting coordination, and game performance. The results show that both girls and boys in the experimental groups improved their mean scores from pre-test to post-test in all three tasks, and their improvements were greater than those in the control groups.
In the 1-minute shooting task, both the experimental and control groups showed improvement from pre-test to post-test. However, the experimental group had a larger improvement in mean scores compared to the control group. This suggests that the intervention program was effective in improving shooting accuracy for both girls and boys. It is important to note that while the girls in the experimental group had a higher mean score at post-test than the boys, the boys had a higher mean score at pre-test, indicating potential gender differences in initial motor skill levels. Similarly, in the passing and cutting coordination task, both the experimental and control groups showed improvement from pre-test to post-test, but the experimental group had a larger improvement in mean scores compared to the control group. This suggests that the intervention program was effective in improving passing and cutting coordination for both girls and boys. In the game performance task, both the experimental and control groups showed improvement from pre-test to post-test, with the experimental group showing a larger improvement in mean scores compared to the control group. This suggests that the intervention program was effective in improving game performance for both girls and boys [ 27 , 28 ].
Overall, the study’s results suggest that the intervention program was effective in improving the motor skills of both girls and boys across all three tasks. The results align with previous research that has demonstrated the positive impact of intervention programs on motor skill development in children [ 29 ]. However, it is important to note that the study’s results are limited by the small sample size and the potential influence of other factors, such as natural maturation and practice effects.
The findings of this study revealed that the experimental classes had an overall improvement in most variables of physical fitness compared to the control classes. The experimental classes demonstrated a slightly lower post-test mean score for PBF and WHR, indicating a trend towards healthier body composition. Moreover, the experimental classes exhibited higher post-test mean scores for vital capacity, shuttle run, grip strength, crunches, and seated forward bend, indicating improvement in cardiopulmonary function, muscle strength, muscle endurance, and flexibility, respectively. In terms of speed and agility, the experimental classes also showed a slight improvement in post-test mean scores.
The observed gender differences in initial motor skill levels in the 1-minute shooting task suggest that there may be a need to provide targeted intervention strategies for girls and boys to achieve optimal outcomes. Moreover, although the experimental classes showed an improvement in most dimensions of physical fitness, the differences were sometimes minimal and not significant, indicating a need for further investigation and analysis of the results. Therefore, it may be necessary to incorporate additional strategies or activities to enhance the effectiveness of physical fitness interventions for school-aged children [ 30 , 31 ].
These findings are consistent with previous research that has shown the positive effects of physical fitness interventions on children’s physical fitness and health outcomes [ 32 – 34 ]. The results of this study can be used to inform the development of future physical fitness interventions that can be implemented in schools or community settings.
The study examined the impact of HPECM intervention on motor cognition and physical fitness awareness among students in two experimental classes compared to two control classes. The results of the study indicated that the experimental groups showed improvement in both motor cognition and physical fitness awareness compared to the control groups. The differences were statistically significant for most comparisons, except for the pre-test mean scores in some cases. These findings suggest that incorporating physical activity into the curriculum can positively impact motor cognition in students, particularly in motor cognition and physical fitness awareness.
The results of the study are consistent with previous research that has shown a positive relationship between physical activity and cognitive functioning. For instance, a study by Hillman found that regular physical activity can improve cognitive performance and brain function in children [ 35 ]. Similarly, a study by Diamond and Lee reported that physical activity can enhance cognitive control and working memory in children [ 36 ].
The study also highlighted the importance of considering gender when designing interventions to enhance motor cognition in school settings. The results showed that girls in the experimental group scored higher in motor cognition and physical fitness awareness compared to girls in the control group, and the same trend was observed for boys. These findings are consistent with previous research indicating that gender differences exist in physical activity levels and that girls tend to be less physically active than boys [ 37 – 39 ].
The study has some limitations. Firstly, the sample size was relatively small, and the study was conducted in a specific cultural and geographic context. Therefore, caution should be exercised when generalizing the results to other populations. Secondly, the research exclusively focused on basketball, lacking a comparative analysis with other activities or sports projects. Future research endeavors will include comparative studies across various projects. Additionally, the study did not investigate the long-term effects of the HPECM intervention on sports ability. Future research could address these limitations by conducting larger-scale studies in diverse populations and exploring the long-term effects of HPECM intervention on sports ability.
In conclusion, this study provides evidence that healthy physical education curriculum model can effectively promote sports ability in senior high school students. The structural characteristics of a healthy physical education curriculum model provide needed support for students learning, improve students’ sports ability, and can be an effective way to promote physical literacy in senior high school students. Further research is needed to explore the long-term effects of the healthy physical education curriculum model on sports ability in students.
We would like to thank the physical education teachers, students and parents who participated in this experimental study. Without your cooperation, we could not complete this experiment.
Brief research report article, virtual physical education during covid-19: exploring future directions for equitable online learning tools.
Introduction: School closures prompted by the COVID-19 pandemic reduced opportunities for US youth to be physically active and disproportionately impacted health disparities in this population. Physical education provides the largest intervention to support the physical activity of school-aged youth, but teachers' opinions about how to maintain quality programming during virtual learning periods remain unexplored. Applying a diversity, equity and inclusion framework, this study explored physical education teachers' perceived significance of different design features for an online teaching tool to promote physical activity equity during school closures.
Methods: Previous literature and focus groups informed the development of a survey administered in summer/fall 2020. Survey participants ( n = 60) were physical education teachers from 400 randomly selected US preschool-12th grade schools drawing from a national database. Participants rated the significance of four design features in relation to five key attributes of an online supplement to in-person physical education programs. One-way ANOVAs were used to assess differences in teachers' ratings by demographic characteristics.
Results: Between-group differences were found in teacher ratings of design features related to the usability, accessibility, equitability, and formal assessment capabilities of an online physical education tool. Differences were based on teacher gender, school level, and geographic location.
Conclusions: Future research to promote physical activity equity among preschool-12th grade youth should examine tailored virtual physical education learning tools that address what teachers perceive to be the most significant design features to support equitable physical education among diverse student groups.
The disproportionate impact of coronavirus disease 2019 (COVID-19) on vulnerable populations has highlighted grave health inequities ( Berkowitz et al., 2020 ), particularly among marginalized youth ( Fortuna et al., 2020 ; Morales et al., 2020 ). School settings provide youth with critical opportunities for physical activity (PA), a key driver of positive physical, social-emotional and mental health among youth ( WHO, 2020 ). However, recent reports document PA-related effects of the COVID-19 pandemic on US school-aged youth, including decreases in PA participation and increases in sedentary behavior during home learning periods compared with prior to the COVID-19 pandemic ( Dunton et al., 2020 ). COVID-19 also has indirect effects on minority and low-income youth, including exacerbated poverty, learning losses, poorer social-emotional and mental health, and higher school dropout rates attributable to school closures ( Christakis et al., 2020 ; Dorn et al., 2020 ; Schulz et al., 2020 ; Benfer et al., 2021 ).
School physical education represents the largest youth PA intervention worldwide, given that physical education is a compulsory subject in many school curricula. Although usual in-person physical education programming is not without challenges ( Hardman, 2008 ), school closures due to COVID-19 created a new host of obstacles. As preschool through 12th grade (P-12) physical education shifted to virtual learning platforms ( Webster et al., 2021 ), physical education teachers and administrators were swiftly required to deliver robust virtual programs without adequate training and provision of appropriate teaching and learning resources. Online learning is, by its own nature, inequitable for school-aged youth, due in part to unequal access to technology, consistent high speed internet, adult supervision and support, sports equipment, and physical space to participate in online physical education ( Daum, 2020 ). Additional inequities are presented for youth with disabilities who are particularly dependent on school physical education for PA engagement, and face barriers to being physically active in home environments ( Esentürk, 2020 ).
If designed appropriately, online physical education may have the potential to reduce health disparities related to inequitable opportunities for PA engagement ( Draper et al., 2021 ). The perspectives of physical education teachers are paramount to the design of online physical education resources that optimally supplement and support quality in-person programming, taking into consideration the diverse learning and PA needs of students. In light of pervasive inequities in youth PA, this study applied a diversity, equity and inclusion framework ( Dashper and Fletcher, 2013 ). The aim of the current study was to examine US P-12 physical education teachers' perceived significance of different design features for an online teaching tool to promote PA equity during school closures. This study was developed as an exploratory pilot investigation to inform next steps toward the development of such a tool for professional practice and applied research in the area of equitable online physical education.
Participants and sampling procedure.
Participants in this study included 60 current P-12 physical education teachers representing all regions of the US. Originally, 400 P-12 schools were identified using a proportionate random sampling technique as harvested from the Institute of Education National Center for Education Statistics (IES-NES) database ( https://nces.ed.gov/ccd/schoolsearch/ ). This database includes all schools in the US listed by state. The list of schools for each state spans numerous webpages with ~10 schools included per page. Schools from each state and the District of Columbia were selected based on the percentage makeup of each state (i.e., number of webpages listing schools for the state) to the total number of pages of schools listed on the IES-NCES website. For example, there were 89 pages listing schools for Alabama. This represented 0.01% of the total number of pages for all schools listed on the website. Accordingly, three pages were randomly selected to represent Alabama schools, and one school from each of these three pages was randomly selected to search for physical education teachers' email addresses. Email addresses for all physical education teachers listed on a given school website were obtained. For any school that was identified as a charter or magnet school, or in cases where no email address for a physical education teacher could be found, another school from the same page was randomly selected. If physical education teacher emails could not be obtained from any of the schools listed on a page, another page was randomly selected. A blanket invitation to participate in the study was sent to all procured email addresses asking recipients to complete an electronic survey. There were no incentives offered to complete the survey. From the initial email, there were 18 “failure to deliver” automated replies; additionally, three prospective participants replied that they were unable to complete the survey (district/corporation policy). A reminder email was sent one week later. In all, individuals invited to participate had 14 days to complete the survey. The final response rate for the survey was 16%. This study was approved by the Indiana University Institutional Review Board.
The research team developed an electronic survey for this study ( Appendix A ) using Qualtrics, based on previous literature ( Smith and Boling, 2009 ) and the results of three focus group interviews the team conducted with P-12 physical education teachers. Convenience sampling was used to recruit nine teachers for the focus groups. Each interview lasted ~75 min. Interviews focused on the teachers' experiences and recommendations with respect to online physical education, particularly in reference to the recent shift in virtual teaching and learning. The interviews were held virtually and recorded via Zoom, and then transcribed verbatim. Transcripts were qualitatively analyzed using inductive analytic methods to identify patterns in the data. Overall, five key attributes of online physical education were used to frame the survey: usability, accessibility, equitability, facilitation of formal assessment, and capacity for PA tracking. Specifically, teachers described how the pivot to remote learning could marginalize a particular set of students. Examples provided from the teachers included students with disabilities, students living in multi-generational households at a low socio-economic status, students from households with English as a new language, and racial/ethnic minority student populations. Additionally, four design features specific to organizing and providing online resources were identified as potentially helpful in addressing each attribute: a bank of videos for teachers to learn from, a bank of videos for students to view, a listing of activities cataloged by learning standards, and a discussion board for teachers. The survey included an item for each key attribute (including a definition of the attribute and relevant examples), asking participants to rate the significance of each of the 4 aforementioned design features to enhancing the attribute. A rating scale of 0–100 was used with 0 indicating “not at all significant” and 100 indicating “very significant.” Additional items were included on the survey to gather information about participant demographics, including gender, age range, school level (elementary, middle school, or high school), geographic location (coastal or non-coastal), and years of teaching experience.
Descriptive statistics were calculated for participant demographics and significance ratings of each design feature by key attribute. Then, for each key attribute, separate one-way analyses of variance (ANOVA) were performed to assess differences in significance ratings for each design feature by teacher demographics (gender, age, school level, geographic location, years of teaching experience). SPSS software (version 27) was used, and a 0.05 significance level was applied for all models.
Participant demographics are presented in Table 1 . Participants were 52% male, mostly between 35–54 years (61%), 58% non-coastal geographic locations, and mostly elementary school level teachers (62%; mean [SD] years of teaching experience: 17.4 [11.1]).
Table 1 . Demographics of survey respondents ( n = 60).
The median significance ratings for each design feature by key attribute are presented in Table 2 . Across participants, a bank of videos for students to view was rated the highest in relation to the usability (86.0), accessibility (86.5), and assessment feasibility (81.5) of an online physical education tool. Regarding the equitability of such a tool, participants rated a discussion board for teachers as the most significant design feature (82.0). A list of activities cataloged by standards was rated as the most significant design feature with respect to being able to track students' PA (90.0).
Table 2 . Median with interquartile range scores of each design feature by key attribute.
When considering demographic variables, there was a statistically significant interaction effect for the usability attribute, F (2, 57) = 4.57, p = 0.04. Main effects analysis revealed a significant effect for gender ( p < 0.01) with higher ratings among female teachers than male teachers for the design feature of listing standards-aligned activities. There was also a statistically significant interaction effect for the accessibility attribute, F (3, 56) = 10.50, p < 0.01, with follow-up analysis again indicating a significant effect for gender ( p = 0.03). Specifically, male teachers rated a simple listing of activities lower than female teachers in relation to the usability attribute.
Additionally, there was a significant interaction effect for the equitability attribute, F (3, 57) = 5.00, p = 0.03. Main effects analysis showed a significant effect for region ( p < 0.01) with teachers in non-coastal locations rating the bank of videos for students to view that could be directly used in their teaching higher than teachers in coastal locations. Finally, there was a significant interaction effect for the key attribute of facilitating formal assessment, F (3, 57) = 5.53, p = 0.03, with follow-up analysis demonstrating a significant effect for school level ( p = 0.01). High school teachers rated the bank of videos for students to view that could be directly used in their teaching at a lower level of significance than middle school or elementary school teachers.
In order to promote accessible and equitable online physical education learning to increase PA engagement, intentional, systematic approaches must be adopted that support the needs of P-12 physical education teachers. Based on a stratified national random sample, this pilot work drew upon the perspectives of physical education teachers to better understand which design features may best support the efficacy of an online physical education tool's key attributes.
Teachers' prioritization of different design features for certain attributes varied across gender (usability and accessibility), geographic location (equitability), and school level (facilitation of formal assessment). Promoting access to PA in diverse home environments will require tailoring and tool flexibility to meet the needs of P-12 physical education teachers and their students. These findings have implications for the development of equitable online physical education instructional resources to optimally support P-12 physical educators across different teacher populations and regions. Specifically, physical educators seek robust and nimble online resources that have the capability to be tailored to their particular contextual and student needs, so they can continue to serve all students even when in-person programming is not possible. In order to address systematic inequities that prevent participation in remote physical education learning, customizable tools that support educators in developing their own content or modifying existing content may be necessary. Future research in this area should examine ways to promote access and participation in online physical education amongst diverse student groups through supporting educators with supplemental online materials based on youth access to parent/sibling supervision, safe/spacious indoor/outdoor settings, equipment, self-efficacy and ability.
Although online resources are already available for educators, they are not sufficient to meet current physical education teacher needs. For example, recent literature determined that “student access to online learning” and “availability of teacher resources” were substantial challenges related to online physical education instruction during the COVID-19 pandemic ( Pavlovic et al., 2021 ). Similarly, Mercier et al. reported that 20% of physical education teachers felt less effective teaching their students online during the pandemic. The authors inferred that teacher responses may not reflect actual learning given that half of the sample did not use assignments or video instruction ( Mercier et al., 2021 ). Moreover, a scoping review by Killian et al. found that no prior research has evaluated the efficacy of online and blended instruction to promote or inhibit skill development or promote PA outside of school ( Killian et al., 2019 ). There is a clear need for further research to inform the development of customizable online learning tools that address physical education teacher needs, particular during periods of virtual instruction.
This study is strengthened by data drawn from a randomly selected, national sample of P-12 physical education teachers representing 400 schools, and with heterogeneity across teacher age, gender, years of experience, teaching level, and geographic region. Limitations include non-response bias from invited participants who opted not to enroll in the study, and inability to account for key sociodemographic factors that are related to developing equitable online P-12 physical education tools, including teacher race/ethnicity, urban/rural setting, and demographics of students taught ( Evans, 2014 ; Hodge et al., 2017 ). Additionally, as this study was exploratory, further research will benefit from further development and validation of methods that best capture the diverse needs of teachers and their students within the context of online physical education.
The COVID-19 pandemic has had disproportionate impacts on US school-aged youth health disparities related to reduced opportunities for equitable PA. This preliminary study found higher prioritization of different design features for certain attributes across gender, geographic location, and school level for supporting standards-based, accessible, and equitable PA based on a national sample of P-12 physical education teachers. Pilot testing of an online tool that provides customizable physical education learning activities is a suitable next step for research to examine potential to promote PA engagement for diverse student groups. This tool has implications for supporting teachers in promoting PA equity among youth during COVID-19 and other times of virtual learning by offering learning models that can cater to different student populations with varied access to technology, resources, supervision, and equipment. Promoting equitable access to routine daily PA has potential to promote overall health equity related to preventing chronic conditions (cardiovascular disease, asthma, diabetes, obesity, and metabolic syndrome) ( Biddle et al., 2004 ; Physical Activity Guidelines Advisory Committee, 2008 ; Gordon-Larsen et al., 2010 ; Tammelin et al., 2014 ; Yang et al., 2014 ), as well as supporting mental health and reducing stress associated with traumas related to social isolation during the COVID-19 pandemic ( Loades et al., 2021 ).
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
The studies involving human participants were reviewed and approved by Indiana University Institutional Review Board. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
For this manuscript, all authors co-designed and implemented the study. MU conducted the analysis. EMD, MU and CAW prepared all sections of the text. All authors reviewed all sections of the text and approved the final version of this manuscript.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fspor.2021.716566/full#supplementary-material
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Webster, C. A., Emily, D. A., Urtel, M., McMullen, J., Culp, B., Egan, C. A., et al. (2021). Physical education in the COVID era: considerations for online program delivery using the comprehensive school physical activity program framework. J. Teach. Phys. Educ. 40, 337–336. doi: 10.1123/jtpe.2020-0182
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Keywords: virtual tools, online physical education, health equity, youth, school, students, COVID-19, diversity equity inclusion
Citation: D'Agostino EM, Urtel M, Webster CA, McMullen J and Culp B (2021) Virtual Physical Education During COVID-19: Exploring Future Directions for Equitable Online Learning Tools. Front. Sports Act. Living 3:716566. doi: 10.3389/fspor.2021.716566
Received: 28 May 2021; Accepted: 03 August 2021; Published: 26 August 2021.
Reviewed by:
Copyright © 2021 D'Agostino, Urtel, Webster, McMullen and Culp. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Emily M. D'Agostino, emily.m.dagostino@duke.edu
Women in Physical Education and Pedagogy: 2021
By Morgan Clennin, PhD, MPH, Kaiser Permanente of Colorado, University of South Carolina, and National Physical Activity Plan
School-based physical education (PE) is recommended by the Community Guide as an effective strategy to promote physical activity among youth. Unfortunately, many have speculated that PE exposure has declined precipitously among U.S. students in the past decade. Limited resources and budgets, prioritization of core academic subjects, and several other barriers have been cited as potential drivers of these claims. However, few large-scale studies have explored the merit of these claims – leaving the answers following questions unknown:
Has PE attendance decreased among U.S. students in the past decades?
What policies and practices are in place to support quality PE?
To answer these questions, the President’s Council on Sports, Fitness & Nutrition tasked the National Physical Activity Plan Alliance (NPAPA) to review the available evidence and summarize their findings. The primary objective of this effort was to better understand PE exposure over time to inform national recommendations and strategies for PE.
The NPAPA began by establishing a collaborative partnership with experts in the federal government, industry, and academia. The group analyzed existing national data sources that could be used to examine changes in PE attendance and current implementation of PE policies and practices. These efforts culminated in a final report and two peer-reviewed manuscripts. A summary of the group’s findings are outlined below.
Key Findings:
Recommendations Based on Key Findings:
The Education sector of the NPAP provides evidence-based strategies and tactics that can guide efforts to support the provision of quality PE to all students. More information, and links to the respective manuscripts, can be found on the NPAPA website: http://physicalactivityplan.org/projects/physicaleducation.html
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1. introduction.
Continuous updates of knowledge among professionals in physical education (PE) and sport are essential for the goal of developing quality professional work. In our current globalized and changing world, continuous and permanent learning is fundamental for organizing and complementing initial training and previous experience.
To ensure competence in the field of PE and sport, it is important to have a proactive attitude towards the extensive knowledge arising from continuous research and to integrate it with one’s prior knowledge and work experience. This is the path to career improvement and satisfaction. Certainly, research is an unfinished and diverse construct: it is a permanent learning process in terms of interpretations, explanations, and contributions.
Globalization, research, and education must respond to continuous changes in the different spheres of social, economic, and scientific activity. Information and communication technologies provide excellent mechanisms to facilitate the study, exchange, and dissemination of principal research findings regarding knowledge and knowledge socialization events. For this reason, and to develop competence or learning, it is also necessary to select the most appropriate information as well as quality publications that are produced with methodological rigor. Integrating knowledge in a way that can be suitably applied in the modern setting will help us to flourish as highly competent professionals in PE and sports, a field that is increasingly taken up by the population.
This Special Issue was proposed in order to compile some of the latest research advances in the PE field and to evaluate the relationship of different variables with physical activity behaviors outside the classroom. Improving teaching processes and understanding the different psychological variables that affect learning are of continuous concern among the different agents involved in teaching. This is highlighted by the wide range of articles in the educational context (primary, secondary, and higher education) that focus on such issues as innovative teaching methodologies, pedagogical models, motivation, satisfaction and frustration of basic psychological needs, perfectionism, self-esteem, motivational climate, and emotional intelligence.
This issue also includes research on different aspects for promoting moderate and vigorous physical activity in students, both inside and outside of the educational center, and for creating healthy and permanent physical exercise habits in the future. Similarly, research focused on activities in nature, recreational pursuits, and sports tourism have been published, with samples comprising students and healthy adults.
Numerous and varied articles on the practice of physical activity and sports by special populations are featured in this Special Issue. On the one hand, we explore studies carried out in different sports contexts, such as those conducted on football players, young professional athletes, handball referees, and professional endurance athletes. On the other hand, we include studies on special populations such as elderly people; these articles show the importance of leading an active life or are focused on the most avant-garde technological advances in physical activity, such as a pro-device for monitoring physical activity and movement.
The progress made in adapting measurement instruments is also assessed in this Special Issue, especially the implications of their use for future research; four articles that focus on different characteristics of instruments’ psychometric properties have been published. Furthermore, in recognition that physical and sports education of high quality must be offered to society and must increasingly be based on empirical scientific evidence, this Special Issue also includes articles that report systematic review and meta-analysis, as well as studies that use experimental and quasi-experimental methodologies.
The topics covered by the articles are diverse, as are the methodologies used, and we are pleased that new developments in PE and sport have aroused interest in the scientific community. Our aim is to contribute to advances of the scientific debate and to provide a quality update for different professionals in this field.
We received a total of 42 submissions, of which 28 were ultimately accepted. The submission process was open from October 2019 to September 2020. As readers will see, most of the accepted publications used cross-sectional methodologies, although qualitative, experimental, quasi-experimental, and meta-analytical studies were also included, along with psychometric instrument validations and systematic reviews. The majority of the studies were conducted in Spain, although some studies were conducted in populations from Taiwan, Poland, Luxembourg, Germany, Turkey, Lithuania, Croatia, Mexico, and Portugal.
Presented in chronological order of publication, this Special Issue includes the papers described below.
Trigueros, Aguilar-Parra, López-Liria, and Rocamora [ 1 ] used structural equation modeling to analyze the influence of several psychological control variables on emotional intelligence in a large sample of 1602 secondary school students. They also examined the meta-cognitive strategies employed by students with regard to emotional intelligence and the thwarting of basic psychological needs. Their results showed that psychological control positively predicted each of the sub-factors related to the thwarting of psychological needs, whereas the thwarting of psychological needs negatively predicted emotional intelligence, and emotional intelligence positively predicted meta-cognitive thinking. As the authors note, this research supports the tenets of self-determination theory, viewed from the darker side, while introducing new variables and demonstrating their applicability to Spanish culture.
Granero-Gallegos, Ruiz-Montero, Baena-Extremera, and Martínez-Molina [ 2 ] used multi-level regression models to analyze the effects of perceived teaching competence, motivation, and basic psychological needs on disruptive behaviors in secondary school PE students. Their results revealed that disruptive behaviors were more likely to occur among boys and that misbehavior decreased when a teacher was perceived as competent. Furthermore, students with greater self-determined motivation were more likely to exhibit fewer behaviors related to low engagement and irresponsibility, whereas amotivation increased various disruptive behaviors in the classroom.
Fuentesal-García, Baena-Extremera, and Sáez-Padilla [ 3 ] carried out two different research studies to analyze the psychometric properties of the Physical Activity Enjoyment Scale applied to different contexts, for initial or original use, such as physical activity in nature. This included a confirmatory factorial analysis. The authors concluded that this scale could not be applied as-is in the studied context and that certain items had to be eliminated and/or modified. From this work, they obtained a new specific instrument for this type of practice.
Hinojo, López, Fuentes, Trujillo, and Pozo [ 4 ] carried out experimental research on flipped learning as an innovative approach to physical education teaching and learning processes. The authors evaluated the effectiveness of flipped learning compared with the traditional methodology. Two study groups were established: control (traditional methodology) and experimental (flipped learning) groups at each educational stage (primary and secondary education). The results showed that the experimental group scored higher than the control group in academic indicators, motivation, autonomy, and interactions between different agents.
Abad, Collado-Mateo, Fernández-Espínola, Castillo, and Fuentes-Guerra [ 5 ] conducted a systematic review with a meta-analysis of the effects of technical and tactical intervention approaches on skill execution and decision-making, and they examined the influence of the teacher/coach management style. This study was performed following PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) using the Web of Science (WOS), PubMed (Medline), Scopus, and SportDiscus electronic databases. The meta-analysis results showed that tactical interventions achieved significant decision-making improvements, but they did not significantly improve skill execution compared with technical approaches. Tactical approaches are recommended for teaching games and sports in order to develop technique, understanding, tactical knowledge, and decision-making, all of which are required in gameplay.
García-Angulo, Palao, Giménez-Egido, García-Angulo, and Ortega-Toro [ 6 ] performed a quasi-experimental study on under-12 male football players to analyze the effect of reducing the number of players, the size of the goal, and the size of the playing space on the technical and tactical actions of young football players. The authors concluded that using modified rules generated a greater number of and more variability in technical–tactical actions, a greater number of actions with teammates in the pass line, greater continuity throughout the game, and more attacking and defensive actions close to the goal. This strategy also favored team play.
Trigueros et al. [ 7 ] took the version of the Scale of Basic Psychological Needs tailored to the physical exercise context and adapted it to and validated it in the Spanish PE context, with the important incorporation of novelty into the scale. In total, 2372 people took part in the research, and several analyses were performed. The results were reported for both the eight-factor structure and the higher-order double model, in which the eight subscales were joined into two constructs called frustration and satisfaction. The factorial structure of both models was invariant with respect to gender and age.
Sánchez-Oliva et al. [ 8 ] analyzed the relationships between perceived need support and need satisfaction with self-determined motivation and extracurricular physical activity intentions in the PE classroom, with sex and out-of-school sport participation included as moderators. Using multi-level analysis, the authors concluded that, at the classroom level, males benefited from need-supportive classes more than females in terms of increased autonomous motivation, whereas females benefited more than males in terms of decreased amotivation. Perceived need support at the class level moderated the negative association between need satisfaction and amotivation and between amotivation and intentions. The findings suggest that a need-supportive classroom environment may play an important role in students’ motivation and behavior.
Burgueño and Medina-Casaubón [ 9 ] performed a cluster-randomized controlled trial with 148 high school students (sport education group, n = 74; control group, n = 74) to assess the influence of sports education on sportsmanship orientations. The multivariate analysis showed significant multivariate effects at the level of each sportsmanship orientation between both groups, in favor of the sports education group. The authors concluded that sports education is an effective pedagogical model that should be considered by PE teachers for optimally promoting the moral and ethical education of high school students via the development of sportsmanship orientations in the context of school PE.
Tornero-Quiñones, Sáez-Padilla, Espina, Abad, and Sierra [ 10 ] carried out a study on 139 older people (between 65 and 87 years of age) to analyze the differences in autonomy between an active group (69 people) and a sedentary group (70 people) in terms of both basic daily activities and instrumental daily activities, as well as in functional capacity, fragility, and fall risk. By means of multivariate analysis, the authors found that the active group presented better values than the sedentary group, with statistically significant differences in all variables evaluated. Moreover, in the active group, functional capacity was a positive predictor variable of autonomy in instrumental daily activities, while fragility and fall risk were significant positive predictors of autonomy in basic daily activities. The importance of leading an active life after retirement is demonstrated once again.
García-Ceberino, Gamero, Feu, and Ibáñez [ 11 ] carried out quasi-experimental research to compare the declarative and procedural knowledge acquired by two groups of fifth-year students after implementing two intervention programs in school football: The Tactical Games Approach vs. the Direct Instruction Model. The results revealed no significant intergroup differences with regard to the methodology applied.
Muñoz-Villena, Gómez-López, and González-Hernández [ 12 ] analyzed psychological variables in 229 young male athletes from professional youth sport teams to evaluate the differences in anger expression and management according to self-esteem and perfectionism indicators. The results showed that high personal standards predicted lower anger trait indicators for athletes with low self-esteem. The results also revealed that high self-esteem acted as a protective factor in the predictive relationship between anger traits and personal standards. The study described the relationship between these variables and the young male footballers’ sense of belonging (under a high level of sports pressure). Their results highlight the need to foster athletes’ self-esteem in sports environments through prevention programs that include psychological and social resource training systems.
Thomas et al. [ 13 ] performed a randomized controlled trial in several European countries to assess whether an enriched sports activity program could increase physical fitness in a population of schoolchildren. The intervention group performed an additional warm-up protocol, which included cognitive-enhancing elements over 14 weeks, while the control group continued with the standard exercise activity. In the experimental group, the intragroup analysis (pre and post-test) showed a significant increase in the 1 kg and 3 kg ball throw, the standing broad jump, the 30 m sprint, and the Illinois agility test, while no significant differences were found in the quadruped test or the Léger shuttle run. In the control group, intragroup analysis (pre and post-test) showed no differences for any test except for the quadruped test and the Léger shuttle run.
Rodríguez-Medellín et al. [ 14 ] adapted and validated the Engagement and Disaffection Scale to the PE context in Mexico and assessed its reliability, factorial structure, and factorial invariance by gender on a sample of 1470 elementary school students. Confirmatory factor analysis, factorial invariance, internal consistency, correlations, and convergent and discriminant validity were performed. The authors concluded that the Mexican version of this scale is valid and useful for measuring these constructs in the PE context.
Noguera, Carmona, Rueda, Fernández, and Cimadevilla [ 15 ] carried out a quasi-experimental study with a recreational sample (48 healthy adults organized into two groups: 26 non-professional salsa dancers and 20 non-dancers) to evaluate whether dancing, as a physical activity that includes a lot of jumping and turning, affects spatial memory and executive functions. To do this, they used sensitive virtual reality-based tasks and the ANT-I task (Attentional Network Test-Interactions) to assess spatial memory and executive functions, respectively. Dancing integrates physical activity with music and involves the memory retrieval of complex step sequences and movements to create choreographies. The conclusion suggests that dancing can be a valid approach to slowing natural age-related cognitive decline. However, since dancing combines several factors, such as social contact, aerobic exercise, cognitive work with rhythms, and music, it is difficult to determine the weight of each of the variables analyzed.
Amado, León-del-Barco, Mendo-Lázaro, and Iglesias [ 16 ] performed a cross-sectional study with 944 school children to examine how body image satisfaction and gender can act as modulating variables on emotional intelligence in childhood. They analyzed differences in the intrapersonal, interpersonal, stress management, adaptability, and mood dimensions of emotional intelligence according to the degree of body image satisfaction and the children’s genders. The results revealed that children who were satisfied with their body image exhibited higher interpersonal intelligence, greater adaptability, and better mood; in addition, girls outperformed boys in stress management. The authors emphasized the need to promote campaigns designed by specialists to prevent body image dissatisfaction and to ensure that the benefits are able to reach the entire educational community (students, teachers, and parents). In this paper, several possibilities are described for meeting the demands of contemporary society.
Yang, Chuang, Lo, and Lee [ 17 ] propose a novel two-stage multi-criteria decision-making (MCDM) model that incorporates the concept of sustainable development into sports tourism. For this purpose, the authors carried out the Bayesian best–worst method (Bayesian BWM) to screen for important criteria and used a laboratory evaluation technique to map out complex influential relationships. To demonstrate the model’s effectiveness, it was tested in central Taiwan. The results showed that the quality of urban security, government marketing, business sponsorship, and mass transit planning were the most important criteria. Together with local festivals, this was the most influential factor overall for the evaluation system.
Pérez-Pueyo, Hortigüela-Alcalá, Hernando-Garijo, and Granero-Gallegos [ 18 ] carried out a qualitative study to propose the attitudinal style as a pedagogical model in PE. First, they defined the characteristics and elements that make up the attitudinal style as a pedagogical model; second, the authors analyzed the perceptions of future teachers regarding the usefulness and transferability of the model in their classes. The results revealed that future PE teachers considered this model to be a transcendental methodological tool for understanding and addressing PE at school. Interpersonal relationships in the classroom, student autonomy, and group responsibility were highlighted as necessary aspects with high transferability to the school.
Oliva-Lozano, Martín-Fuentes, and Muyor [ 19 ] analyzed the validity and reliability of an inertial device for monitoring the range of pelvic motion during simulated intercourse and then compared the results with those of a gold standard system. Twenty-six adults took part and were monitored during simulated intercourse using an inertial device (WIMU) and a motion capture system (gold standard). The authors concluded that WIMU could be considered a valid and reliable device for monitoring the in–out cycle range of motion during sexual intercourse in the missionary and cowgirl positions.
Conejero, Prado, Fernández-Echeverría, Collado-Mateo, and Moreno [ 20 ] performed a systematic review with meta-analysis to evaluate the scientific literature on the effect of decision training interventions/programs from a cognitive perspective on the decision-making capabilities of volleyball players. This research was carried out following PRISMA guidelines, and studies were accessed through the WOS, Pubmed (Medline), Scopus, SportDiscus, and Google Scholar databases. From the results, the authors recommend using decisional interventions or training, both as part of normal active training and as a complement to it, in order to improve players’ decision-making capabilities.
Płoszaj, Firek, and Czechowski [ 21 ] emphasized the role of referees as educators and suggested that they be taken into account when researching the educational value of sports among the youngest participants. This study was conducted on a group of 25 handball referees to analyze the quality of their interactions (a positive climate, responsiveness, behavior management, proficiency, instructing, communicating) with young players during handball matches. The authors concluded that the referees should be trained to foster a positive climate on the sports field by creating emotional ties with players (physical proximity, social conversation) while expressing an enthusiastic attitude and the joy of contact.
Kokkonen, Gråstén, Quay, and Kokkonen [ 22 ] performed structural equational modeling based on the self-reports of 363 fourth to sixth graders to analyze how students’ perceptions of their psychological environment (i.e., the motivational climate in PE) contributed to their adoption of moderate to vigorous physical activity (MVPA) via their social competence and physical activity motivation. The results showed that both the motivational climate and co-operational aspect of social competence played significant roles in students’ physical activity motivation, physical activity intention, and MVPA. Thus, the analysis of creative PE highlights that teaching behaviors contribute to students’ MVPA through motivational climates, co-operation, physical activity motivation and physical activity intention.
Carrasco-Poyatos, González-Quílez, Martínez-González-Moro and Granero-Gallegos [ 23 ] proposed a protocol study for a cluster-randomized controlled trial to assess changes in the performance of high-level athletes after a heart rate variability (HRV)-guided training period or a traditional training period and to determine the differences in athletes’ performance after both training protocols (follow-up after 12 weeks for the cluster-randomized controlled protocol, control group, and HRV group). The variables measured were the maximum oxygen uptake (VO 2max ), the maximum speed (in m/s), the maximum heart rate, the respiratory exchange ratio, ventilatory thresholds (VT1 and VT2), and their derived speed, heart rate, respiratory exchange ratio, and VO 2 in an incremental treadmill test. To date, no other HRV-guided training research has been conducted on these types of professional athletes. It is expected that this HRV-guided training protocol will improve functional performance in high-level athletes, achieve better results than a traditional training method, and thus provide an effective strategy for coaches of high-level athletes.
Cattuzzo et al. [ 24 ] carried out a systematic review to examine studies that have assessed the performance of the supine-to-stand (STS) task in young people, adults, and the elderly. The databases accessed in the search were MEDLINE/Pubmed, Scielo, EMBASE, Scopus, ERIC/ProQuest, WOS, Science Direct, EBSCO, and Cochrane. After a qualitative analysis of the 37 studies included, the paper concluded that the STS task appears to be a universal tool for tracking functional motor competence and musculoskeletal fitness throughout life for clinical or research purposes.
Hutmacher, Eckelt, Bund, and Steffgen [ 25 ] performed a longitudinal study on 1681 students from elementary and high school in the context of PE. The measured variables were perceived need for support in PE, motivational regulation during PE, leisure time, attitude, subjective norm, perceived behavioral control, intention, and physical activity behavior. The main findings, based on mixed-effect models, revealed that the autonomy, competence, and relatedness support given by the PE teacher was positively related to autonomous motivation. In addition, longitudinal mediation analyses further supported the impact of autonomous motivation on physical activity, mediated by intention, attitude, and perceived behavioral control.
Ávalos-Ramos and Martínez-Ruiz [ 26 ] designed a qualitative study with 38 students who were in the first year of a bachelor’s degree in Physical Activity and Sport Sciences of a Spanish university and were enrolled in the Gymnastic and Artistic Skills course. The methodological design consisted of 13 practical learning sessions on the subject mentioned, in which a support strategy for autonomy in collaboration was implemented. The learning process was carried out in three phases (initial, progress, and final). The evolution of motivation, autonomy, collaboration, and achievements was highly valued throughout the process. The final assessment caused pressure and anxiety in the students, thus decreasing self-control, impairing action, and distorting the motivation experienced during the learning process.
Granero-Gallegos, González-Quílez, Plews, and Carrasco-Poyatos [ 27 ] performed a systematic review with meta-analysis to analyze the effect of HRV-guided training on VO 2max in endurance athletes. The methods were reported in accordance with the Campbell Collaboration policies and guidelines for systematic reviews. The register contained studies identified from the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, CINAHL Complete, the Web of Science Core Collection, Global Health, Current Contents Connect, and the SciELO Citation Index. The results showed that HRV-guided training and control training enhanced the athletes’ VO 2max ( p < 0.0001), but the effect size (ES) for the HRV-guided training group was significantly higher. The amateur level and female subgroup produced better and significant results ( p < 0.0001) for VO 2max . HRV-guided training had a small (ES = 0.402) but positive effect on endurance athlete performance (VO 2max ), conditioned by the athlete’s level and sex.
Finally, Baños, Fuentesal, Conte, Ortiz-Camacho, and Zamarripa [ 28 ] carried out a probabilistic study on secondary school students in Mexico to analyze the mediating effect of satisfaction/enjoyment and boredom between the perception of autonomy support and academic performance in PE. The mediating effect was examined using the PROCESS V.3.5 macro. The main findings revealed that autonomy support was not a direct indicator of PE performance; instead, a forecast of positive PE performance only occurred if students felt satisfied with PE. Satisfaction with PE had a mediating effect between autonomy support and PE performance. However, boredom did not have a mediating effect between autonomy support and the student’s performance in the PE class.
In summary, these papers add to our understanding of the latest advances and developments in PE and sport. Through the 14 articles that analyze the educational context at different stages, from elementary school to university, the concerns of the different agents that intervene in the teaching–learning process are assessed. Two articles also focus on motivational aspects, executive functions, and spatial memory performance in relation to the practice of physical activity during leisure time. An analysis of physical activity in elderly people is also presented to address concerns such as functional capacity, frailty, and fall risk. Two articles focus on physical activity in nature and sports tourism, while another study validates the most advanced technological applications in sport and the analysis of human movements, such as the WIMU pro-device. Four papers analyze different aspects in the field of sport: football, athletes in professional youth teams, handball referees, and professional endurance athletes (runners). Finally, four systematic reviews (two with meta-analyses) explore different questions related to sports education, volleyball players, healthy individuals, and endurance athletes.
The author declares no conflict of interest.
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Background Internet use has increased and sleep and physical activity (PA) have decreased in recent years among adolescents. Besides sleep and PA, another determinant of future health for adolescents is education. Our aim was to evaluate the associations of excessive internet use (EIU), short sleep duration and low PA with both unexcused absences and medical absences during lower secondary school.
Methods The School Health Promotion study is a national survey of adolescents conducted biennially in Finland. We used data collected in 2019, when EIU was assessed for the first time. Cumulative odds ratio analysis was conducted with unexcused absences and medical absences as outcome variables. Besides EIU, sleep duration and PA, the associations of maternal education and parental relations were assessed.
Results The mean age of the 86 270 participants was 15.3 years. Girls scored higher than boys on EIU. In all, 34.7% of participants slept less than 8 hours per night during the school week, and 34.3% reported low PA (ie, less than 3 days per week with minimum 1 hour of PA per day). EIU, short sleep and low PA were associated with both unexcused absences and medical absences from school. Longer sleep during weekends showed no association with absences, but good parental relations had the strongest protective association with both unexcused and medical absences.
Conclusions EIU, short sleep duration and low PA were associated with both unexcused and medical absences from school. This has important implications for both the promotion of general health and the support offered to students with alarming school absences.
Data may be obtained from a third party and are not publicly available. Data from the School Health Promotion study are available for researchers from the study coordinators at the Finnish Institute for Health and Welfare.
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ .
https://doi.org/10.1136/archdischild-2023-326331
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Previous research has established a relationship between short sleep duration and school absences.
The connections of excessive internet use, short sleep and physical activity (PA) with school absences have remained unclear.
Excessive internet use was associated with an increased risk for both unexcused and medical absences from school, while longer sleep duration and higher PA showed a protective association.
A trusting relationship with parents emerged as an important protective factor for both unexcused and medical absences.
Highlights the vitality of collaboration between health and education sectors to improve long-term health outcomes among adolescents.
Education is an essential determinant of future health for adolescents, but it can be jeopardised by school absences. School absences can be either unexcused (also called truancy) or excused, most commonly for medical reasons. School absences can be caused by physical and mental health problems, but they may also be associated with different types of risky behaviour or an unhealthy lifestyle involving excessive use of screen-based media, insufficient sleep and limited physical activity (PA). 1 2
The internet, online gaming and the upsurge of social media during the last decade have dramatically changed the lives of adolescents. 3 4 Among adolescents, excessive gaming and social media use have been associated with school absences, poor numeracy skills, anxiety and poorer sleep. 5–9 Although variance between assessment instruments of excessive internet use (EIU) complicates comparisons, digital media may be a factor tempting adolescents to stay home from school, and may also hinder learning through lack of sleep. 10
Sleep is necessary for all aspects of health and development. To promote optimal health, adolescents aged 13 to 18 should sleep 8–10 hours per night. 11 Meta-analyses have found that insufficient or disturbed sleep among children and adolescents is associated with obesity and depressive symptoms. 12 13 Insufficient sleep and poor sleep quality are also associated with poor educational attainment, possibly through school absences. 14–16 The direct impact of sleep on unexcused and medical absences, however, remains unclear.
Besides contributing a positive impact on general health throughout the life course, regular PA is important for the brain health of school-aged children and adolescents because it improves both cognition and mental health. 17 Adolescents should engage in 60 min or more of moderate-to-vigorous PA daily. 18 No consensus has been reached on the association of PA with school absences. Some studies have found higher rates of absences in both inactive and highly active children than among children with medium levels of PA. 19 De Groot et al found no direct association between PA and medical absences from school. 20
The objective of this study was to examine the associations of EIU, short sleep and PA with unexcused absences and medical absences from school among adolescents. We hypothesised that EIU would be associated with a higher risk of both unexcused and medical absences, whereas sleep and PA would have a protective association.
This study used data from the School Health Promotion study, a national biennial survey conducted in Finland and managed by the Institute for Health and Welfare. 21 All students in years 8 and 9 and present at school on the day of the survey administration are invited to participate. Both adolescents and their parents may opt out of participation. An anonymous survey was administered to adolescents in classrooms, with both online and pen-and-paper options available, and under teacher supervision. In this study, we utilised responses from the nationally representative sample of year 8 and 9 students in 2019, when EIU was assessed for the first time. These age cohorts comprised 118 178 adolescents, of whom 86 283 (73.0%) participated. Responses were geographically evenly distributed and considered nationally representative.
In Finland, education is compulsory and free of charge from the year a child turns seven until age 18 years. In school years 8 and 9, students are typically 14–16 years old. As advised by the Institute for Health and Welfare, we excluded responses if self-reported age was below 13 or exceeded 18. Year 9 marks the end of lower secondary school, and during the spring term students apply to either academic upper secondary school or vocational education. Thus, school absences in lower secondary school have special significance.
Self-reported gender was based on the two response options (boy or girl) to the question ‘What is your official gender?’ Students also reported their school year.
Socioeconomic status was based on maternal education level, reported by the students. The question ‘What is the highest educational level your mother has achieved?’ had four response options: ‘comprehensive school or equivalent’ (meaning 9 years of education), ‘upper secondary school, high school or vocation education’ (meaning 12 years of education), ‘occupational studies in addition to upper secondary school, high school or vocational education’ and ‘university, university of applied sciences or other higher education’.
One question, ‘Can you talk about things that concern you with your parents?’, described parental relations. Response options were ‘hardly ever’, ‘occasionally’, ‘fairly often’ and ‘often’.
The EIU scale is short and has shown good internal consistency in previous studies. 22 23 Cronbach’s alpha was 0.77 overall and 0.74 in Finland. 23 The EIU scale has five statements: ‘I have tried spending less time online but I have failed’, ‘I should spend more time with my family, friends or doing homework, but I spend all my time online’, ‘I have found that I was online even though I did not really feel like it’, ‘I have felt anxious when I do not get online’ and ‘I have failed to eat or sleep because of being online’. Respondents were asked to estimate how often they experienced each of the above on a four-point Likert scale from ‘never’ to ‘very often’, which translated to numeric values of 1–4. EIU was defined as the mean value of the five scores.
Sleep duration was calculated from two questions: ‘At what time do you usually go to bed?’ and ‘At what time do you usually wake up?’ For both questions, responses were collected separately for weekdays and weekends. Response options for bedtime were provided at half-hour intervals from ‘about 7 p.m. or earlier’ to ‘about 4 a.m. or later’. Response options for wake-up times were also at half-hour intervals from ‘about 5 a.m. or earlier’ to ‘about 1 p.m. or later’.
PA was assessed through two questions. The first measured overall PA: ‘Think about all the moving around you have done over the past 7 days. On how many days have you been on the move for at least 1 hour per day?’ Response options ranged from zero to 7 days. The second question evaluated vigorous PA: ‘During your spare time, how many hours per week do you usually engage in physical exercise that causes shortness of breath and sweating?’, and response options were ‘none’, ‘about 0.5 hours’, ‘about 1 hours’, ‘about 2–3 hours’, ‘about 4–6 hours’ and ‘about 7 hours or more’.
The question ‘During this school year, how often have you experienced the following’ had two subcomponents: ‘Being absent without permission, skipping school’ and ‘Absences due to illness’. Both had the same five response options: ‘not at all’, ‘a few times in the year’, ‘every month’, ‘every week’ and ‘daily or almost daily’. Because some medical absences are natural and unexcused absences have been associated with delinquent behaviour, unexcused and medical absences were classified slightly differently into three categories.
Descriptive statistics included percentages and means (with SD). Gender differences were estimated with independent sample t-tests and odds ratios. Cumulative odds ratio (COR) with 95% confidence intervals (CI) was used to measure the association of independent variables (gender, school year, maternal education, parental relations, EIU, sleep duration on weekdays and weekends, overall and vigorous PA) with unexcused and medical absences separately. For ordinal variables, CORs were calculated pairwise, with each category compared separately with the reference category. First, if COR >1, the distribution of absence is more concentrated to ‘higher’ values in the first category of the categorical independent compared with the reference category. Second, this concentration increases when a numeric independent has greater values. We ran the analyses separately for genders, but since CORs were mostly similar for both genders, overall CORs are presented and the few significant differences between genders are flagged. Model fit was estimated using Somers’ D. Results are reported as unstandardised estimates, and p<0.05 was considered significant. Analyses were conducted using Mplus version 8.7 and SAS 9.4.
Data availability is reported for all variables separately. Since the proportion of missing data for different variables was low, complete cases were used in COR calculations.
The study was approved by the Working Group on Research Ethics of the Institute for Health and Welfare (THL/1578/6.02.01/2018 §807).
The 86 270 participants (response rate: 73.0% of respective age group) showed even gender and age distribution ( table 1 ). Mothers most commonly had university or other higher-level education, and parental relations were most often good.
Demographics and background variables of 86 270 study participants
The EIU scale average score was 1.9 (SD 0.7; table 2 ). Girls yielded a higher EIU score than boys (2.0 vs 1.8; p<0.001, Cohen’s d=0.4), and 1881 participants (2.3%) reported the maximum EIU score of 4.
Excessive internet use, sleep duration, frequency of physical activity and absences from school for adolescent boys and girls
Participants slept an average of 8.0 hours per night during the school week, and 9.2 hours per night during the weekend ( table 2 ). More than one-third (34.7%) slept less than 8 hours per night on weekdays, and 10.9% slept less than 8 hours per night on weekends.
Participants reported overall PA on average on 4 days during the preceding week and vigorous PA for 2–3 hours per week. Among boys, both no PA and daily PA were more frequent than among girls ( table 2 ).
In all, 3.2–4.0% of the study population reported high rates of school absences ( table 2 ). Boys reported more unexcused absences than girls did, while girls reported more medical absences than boys did (p<0.001 for both).
In cumulative odds ratio, EIU was associated with an increased risk for both unexcused and medical absences ( table 3 ). Older age was associated with an increased risk of unexcused absences. Maternal education level, parental relations (talking about concerns with parents), longer sleep duration during weekdays and PA showed a significant protective dose–response relationship with both unexcused and medical absences from school. Talking about concerns with parents often showed the strongest protective association. Overall, the model fit was moderate (0.35) for unexcused absences and low (0.22) for medical absences.
Results of cumulative odds ratio: risk and protective factors for unexcused and medical absences from school
In this nationally representative population-based study, adolescent girls reported more excessive internet use (EIU) than did boys, more than one-third of adolescents slept less than 8 hours per night during the school week and more than half of adolescents engaged in vigorous exercise for less than 3 hours weekly. EIU, short sleep duration during weekdays and low PA were all associated with both unexcused and medical absences from school among 14–16 year old students. Talking about concerns with parents often emerged as the strongest protective factor for both unexcused and medical absences.
Of the study participants, 2% yielded a maximum score for EIU. Previous studies have reported a prevalence of 6% for problematic mobile phone use. 24 The EIU specifically reflects the symptoms of addiction instead of measuring excessive time spent online. 25 Girls scored higher than did boys on the EIU scale. We suspect this may be due to social media, which girls use more than boys. 26 27 A recent meta-analysis supported the hypothesis that different patterns of internet addiction may be seen among men and women. 8
Shorter sleep duration especially during the school week showed direct associations with unexcused and medical school absences. Short sleep (less than 8 hours per night) during the school week showed a significant independent association with school absences, and this association was not compensated by longer sleep during weekends. This is in line with previous research, where weekend recovery sleep failed to protect against metabolic dysregulation. 28
Overall PA was associated with both unexcused and medical school absences: the more frequent light PA was, the fewer absences the adolescents reported. When PA was reported daily, however, the protective association of PA was smaller than for any other frequency of PA. It seems logical that a break is also needed from PA for optimal well-being. 29 In all, the findings between PA and school absences may reflect that adolescents who are supported to commit to a physically active lifestyle are also supported to attend school. 30 We also found a stronger relationship between overall than vigorous PA and fewer medical absences. Potentially a more active general lifestyle is healthier than a modern combination of a sedentary lifestyle and competitive sport hobbies. 31
In this study, a trusting relationship with parents was the strongest protective factor against school absences. Nearly half of the study participants reported that they often talk with their parents about their concerns. Trusting, open relationships between parents and their adolescent children also protect them against EIU. 32 Furthermore, adolescents also need their parents’ support to maintain a regular sleep schedule, because longer sleep during weekends is insufficient to protect against school absences.
The strengths of this study include a large, population-based cohort with a high participation rate, and distinguishing between unexcused and medical absences from school. Participation rates were even geographically and across schools in cities. The first limitation is the cross-sectional, self-reported nature of data, and thus, causal relationships cannot be determined. The most important group of non-participants were adolescents who were absent from school on the day of data collection. This could plausibly have included students with high rates of absences, which may cause bias especially in a study focusing on absences from school. When comparing our dataset with national statistics, the proportion of boys was slightly lower than among the entire population (49.3% vs 50.9%, respectively). Our proxy measure for socioeconomic status was maternal education. At population-level, education is only collected based on age and gender instead of parenthood. 33 The study participants reported a higher frequency of university level education among their mothers than recorded among women aged 35–54 at the population-level in Finland (45.1% vs 42.2%, respectively). Childlessness is, however, more common among persons with low or medium education, 34 and thus, potential bias associated with socioeconomic status remains unknown. The School Health Promotion study included no information on the type of internet use adolescents engaged in, and thus, no conclusions can be drawn related to gaming and social media. In this study, we only utilised data on the self-reported official gender, but population-based research on adolescents identifying as non-binary is urgently needed.
Despite its limitations, our results have important implications for promotion of health and education attainment. Our results are relevant for professionals organising and working in school health and well-being services, especially when professionals meet students whose school absences raise concern. Besides direct school-related factors, the lifestyle factors associated with absences should also be assessed, and support should be provided according to need.
Patient consent for publication.
Not applicable.
This study involves human participants and was approved by THL Working Group on Research Ethics, Finland (THL/1578/6.02.01/2018 §807) Participants gave informed consent to participate in the study before taking part.
X @SiljaKosola
SK and MK contributed equally.
Contributors SK: conception, design, interpretation of results, first draft, revisions, guarantor. MK: conception, data curation, interpretation of results, revisions. KM: conception, interpretation of results, revisions. JE: data acquisition, statistical analyses, interpretation of results, revisions. KR: conception, design, interpretation of results, revisions. KA: conception, design, data acquisition and curation, interpretation of results, revisions. All authors approved the final version of the manuscript.
Funding Silja Kosola was supported by a grant from The Foundation for Pediatric Research. Marianne Kullberg was supported by a grant from The Swedish Cultural Foundation in Finland, grant number 180773. Klaus Ranta was funded by the Strategic Research Council established within the Academy of Finland to the Imagine Research Consortium, grant number 352700, and to Tampere University, grant number 353048. Katarina Alanko was funded by the C.G. Sundell Foundation. The funders had no role in the study design, data collection, analysis, interpretation of data, decision to publish, or in writing the manuscript.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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1. Introduction. The positive and protective effects of physical activity (PA), such as enhanced physical health, psychological well-being, increased concentration, academic performance, and reduced feelings of depression and anxiety, have been well documented in earlier studies [1,2,3].Physical education (PE) is taught as a subject in many countries around the world, but it also incorporates ...
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The most effective strategies to increase children's levels of physical activity and improve movement skills in physical education were direct instruction teaching methods and providing teachers with sufficient and ongoing professional development in using these physical education (PE) instruction methods.
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ABSTRACT. Purpose: This introductory article provides the context and rationale for conducting systematic literature reviews on each of the essential components of physical education, including policy and environment, curriculum, appropriate instruction, and student assessment.Methods: Four research teams from Doctoral Physical Education Teacher Education programs (D-PETE) conducted these ...
Introduction. What do students learn in the school subject Physical Education (PE), and how can learning in this subject be measured has been questioned (Quennerstedt et al. Citation 2014), as has the assumed causal relationship between PE and lifelong participation in physical activity (Green Citation 2014).Across educational literature researchers acknowledge that exploring learning ...
Brendon Hyndman, Charles Sturt University and Vaughan Cruickshank, University of Tasmania. Health and physical education includes subjects such as sport science, health studies, athlete ...
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Special Chair 'Pedagogy of Physical Education' founded by the Royal Dutch Association for Physical Education (KVLO) at the Faculty of Social and Behavioural Sciences of ...
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Journal of Physical Education Research (JOPER) is a scientific publication. It is a peer reviewed and referred journal, officially publishes original research articles on Physical Education and its allied sciences. The JOPER is an open access international journal has four annual issues (March, June, September and December), with its own issue ...
A well-designed physical education (PE) program is inclusive, active, enjoyable and supportive ... The search identified 135 articles on research that took place in the United States, Canada or the United Kingdom; that included urban settings; and that addressed PE. The research team reviewed and coded articles to identify recurrent themes.
Physical education is the foundation of a comprehensive school physical. activity program. It provides cognitive content and instruction designed to develop motor skills, knowledge, and. behaviors ...
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of physical fitness have been linked to improved academic performance and brain functions, such as attention and memory. These brain functions are the foundation for learning. Long-term studies have demonstrated that increases in physical activity, resulting from greater time spent in physical education, were related to improved academic ...
Moving forward, educators should consider implementing evidence-based recommendations derived from this research to enhance physical education programs and promote student well-being. Collaborative activities and group exercises can create a positive and supportive atmosphere, reducing individual stress levels and fostering a sense of community ...
In many countries, health has in some way framed the history of physical education (PE) (Augestad, 2003; Kirk, 1992; Tinning and McCuaig, 2006), and PE has often been aligned with medicalized notions of health (Fitzpatrick and Tinning, 2014).Currently, health is a subject in formal education and is considered an important aspect of PE (Cale, 2020; Schenker, 2018; Stolz, 2014).
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Background Internet use has increased and sleep and physical activity (PA) have decreased in recent years among adolescents. Besides sleep and PA, another determinant of future health for adolescents is education. Our aim was to evaluate the associations of excessive internet use (EIU), short sleep duration and low PA with both unexcused absences and medical absences during lower secondary school.