Analysis on the Influence of Students’ Health Quality Based on Intelligent Optimization of Sports Facilities and Equipment

Physical health promotion has always been a way for schools to pay close attention to and devote resources to their students’ development, physical fitness, and social adaptability. To promote the improvement of students’ overall physical quality, we must begin with the foundation and school physical education. This study proposes an improved K-means algorithm based on an analysis of the influencing factors of intelligent optimization of sports facilities and equipment on students’ health quality. Clustering analysis is carried out based on two groups of data classified as boys and girls, using the improved K-means algorithm. The findings reveal that the average change trend of physical fitness test items in each male cluster is generally similar, with a moderate change. The change in the average score of physical fitness test items for each cluster of girls in the group showed two distinct valleys, and the trend was complicated. This necessitates schools to invest funds to construct venues and purchase equipment in order to increase the number of sporting events.

Effects of Equine-Assistant Activity on Gross Motor Coordination in Children Aged 8 to 10 Years

Generally, adequate motor coordination (MC) ability is one among the critical factors for the overall development of children. In this paper, we have thoroughly analyzed the effects of equine-assistant activity (EAA) training on MC in children. For this purpose, MC test, specifically for children, was used to the Körperkoordinationstest für Kinder (KTK), and a total of 100 children, particularly those in 8 to 10 age, were equally separated into equine-assistant activity group (EAAG) and control group (CG), respectively. The EAAG group has attended a 14-week EAA training program, while the CG joined in physical education activity once per week. The experimental results have indicated that four indices of KTK test (i.e., backward walk [WB], height jump [HH], jumping sideways [JS] and moving sideways [MS], and motor quotient [MQ] score) showed significant differences ( ∗ P < 0.05 ) after a 14-week EAA training. Furthermore, the indices of physical fitness test, standing long jump (SLJ), and sit and reach (SAR) showed significant differences ( ∗ P < 0.05 ), but the handgrip (HG) increased slightly without significant difference ( P > 0.05 ) after a 14-week EAA training. In conclusion, there were improvements in MC, lower limb strength, and flexibility by EAAG for those who participated in a 14-week EAA training, and this study has demonstrated the effectiveness of the KTK assessment of MC in children 8 to 10 years.

The Effect of Age, Biological Maturation and Birth Quartile in the Kinanthropometric and Physical Fitness Differences between Male and Female Adolescent Volleyball Players

Background: Differences in kinanthropometric and physical fitness performance between boys and girls usually start during adolescence, as a result of the changes in the hormonal environment that occur with the advance of age and biological maturation; Methods: A total of 96 1st Regional Division players adolescent volleyball players, 48 males, (age = 14.17 ± 1.00 years-old) and 48 females (age = 14.41 ± 1.21 years-old) underwent a kinanthropometric assessment, were asked to perform different physical fitness test and to complete a questionnaire. Chronological age, maturity offset, age at peak height velocity (APHV), and birth quartile were calculated; Results: Statistical differences were observed between male and female players in the APHV (p < 0.001). Male players showed higher values in the bone and muscle-related variables (p < 0.001–0.040), as well as in the strength and power production-related physical tests (p < 0.001–0.012), while the female showed higher values in the fat-related variables (p = 0.003–0.013), and performed better in the flexibility tests. Age, maturity offset, and birth quartile showed to have statistical influence in the differences found between sex groups; Conclusions: There is a clear influence of age and biological maturation on the differences found between sexes in adolescent volleyball players that could be taken into account regarding grouping in early stages.

Investigation of Aerobic and Muscular Fitness and Concussion Among Service Academy Cadets at the United States Air Force Academy: Results from the CARE Consortium

ABSTRACT Introduction Concussion has become the signature injury facing the U.S. military. However, little is understood about the relationship between military fitness and concussion recovery. The current study examined the recoveries of cadets at a U.S. Service Academy to determine whether preinjury physical fitness improved recovery and whether recovery was associated with post-injury physical fitness measures. Methods Participants were enrolled in a longitudinal study of concussion. Aerobic Fitness Test (AFT) and Physical Fitness Test (PFT) data were used to estimate cadet fitness. Survival analysis evaluated significant estimators of concussion recovery time. Linear regression models were used to explore the relationship between recovery duration and change in physical fitness scores. Results Between 2014 and 2017, 307 (n = 70; 22.80% Women) cadets who had sustained a concussion were enrolled. Preinjury physical fitness was not significantly associated with recovery duration (P &gt; .05). Men and intercollegiate cadets took fewer days to reach recovery milestones. Compared to women, men had greater decrements in the Aerobic Fitness Test total score (P &lt; .05) and increased 1.5-mile time postconcussion (P &lt; .05). Women had greater decreases in push-ups postconcussion compared to males (P &lt; .05). There was a trend for a negative association between days until asymptomatic and change in the Physical Fitness Test score (P = .07). Conclusion Preconcussion physical fitness levels do not appear to impact concussion recovery time among a highly physically fit cohort. Possible methods to reduce the effect of symptom duration on strength-related physical fitness should be investigated along with evaluating reductions in strength as a possible mechanism for postconcussion injury risk.

The Relationship Between Soldier Height, Weight and Army Combat Fitness Scores

The United States Army recently implemented the Army Combat Fitness Test (ACFT) which was designed to more accurately measure functional-combat fitness constructs. The ACFT replaced the former Army Physical Fitness Test (APFT). The three advent APFT consisted of: two-minute push-ups (PU), two-minute sit-ups (SU), and a timed two-mile run (RUN). The ACFT consists of six events; 3 Rep Max Deadlift (MDL), Standing Power Throw (SPT), Hand Release Push-up (HRP), Sprint-Drag-Carry (SDC), Hanging Leg Tuck (LTK), and a timed two-mile run (2MR). This study investigated the relationship between Soldier height and body mass kg on ACFT scores of 655 male U.S. Army National Guard Soldiers in a Field Artillery Brigade. For the purpose of the investigation body mass index (BMI) was calculated as the metric representing the Soldier(s) height and weight. The mean and standard deviation (sd) were calculated for the ACFT event and total scores. Pearson correlation coefficients (PCCs or r) were calculated between BMI and ACFT event and total scores. Likewise, PCCs were calculated between the ACFT event and total scores. The ACFT mean(sd) scores were as follows: MDL=92.2(31.8) (3 maximum repetitions), SPT=9.5(2.2) (meters), HRP=24.6(13.1) (repetitions), SDC=119.8(21.7) (seconds), LTK=6.2(5.4) (repetitions), 2MR=1095.0(233.7) (seconds), ACFT total score=442.3(54.4) (points). Significant positive correlations were found between the ACFT total score: MDL (r=0.70), SPT (r=0.50), HRP (r=0.74), and LTK (r=0.76) events. Conversely, significant negative correlations were identified between ACFT total score: SDC (r=-0.68) and 2MR (r=-0.53) events. Within the parameters of this study, Soldier BMI demonstrated no to weak association with individual ACFT event or ACFT total scores. Further, the range of PCCs between the ACFT event scores were no to moderately high. Military leaders may consider the results provided as combat and fitness tests continue to evolve.

Comprehensive and special physical fitness of judo athletes of provincial national teams in the age groups: youngster (U16) and junior (U21)

The research aimed to determine the relationship between the universal and special physical fitness of judoists. The study involved players from the youngster (U16) and junior (U21) age group from provincial teams. The International Physical Fitness Test was used to measure comprehensive fitness, and the Special Judo Fitness Test was applied to assess special fitness. The research has shown that juniors exhibit a higher level of all-round (excluding flexibility) and special fitness than youngsters. More relationships between comprehensive physical fitness and special fitness were demonstrated in the youngster group. Leg muscle strength, endurance, agility, and abdominal strength were found to have the most significant impact on the overall level of all-round fitness in the youngster age group, while in the age group under 21, endurance, hand strength, and arm strength had the most significant impact. It has been shown that the combination of individual components of versatile fitness in a given training cycle may bring positive effects in shaping those features in both age groups. Besides, it has been shown that when taking account of the athlete’s ontogenetic development and his/her sensitive period, the relationships between the components of comprehensive fitness and comprehensive and special fitness can significantly affect the effectiveness of the training process in both age groups.

Development of smartphone application for personalized physical fitness education for university students in COVID-19 pandemic era

Online distance learning during the COVID-19 pandemic can impact decreasing physical activity and increasing sedentary behaviour, leading to the reduced physical fitness of students. The research aims to develop an android application (app) to assist students in developing physical fitness independently. Four stages of development have been carried out to create the Mahasiswa Bugar application. The advantages of the Mahasiswa Bugar app are as a guide to measuring physical fitness that can be done by students themselves and based on existing literature. Physical fitness test items guided through this application are health-related fitness, body composition, cardiorespiratory fitness, muscle strength and endurance, and flexibility, including features for feedback, history or recording of test results and training program. The results of the quasi-experiment show that the percentage of student involvement in vigorous physical activity has increased. Although the fit student android application's socialization did not significantly impact increasing the intensity of physical activity and motivation to train, this application could be a solution for students in fostering physical fitness independently during the COVID-19 pandemic.

Survey of Physical Fitness Levels of Badminton Athletes in Binjai City, Indonesia

Athletes aged 16-19 years is a period towards the peak of achievement that is important to be evaluated from various components including the level of physical fitness. Especially in the sport of badminton, the physical fitness aspect is an important component that must be owned for single and doubles athletes. This research aims to find out the level of physical fitness of badminton athletes in Binjai City, Indonesia. Participants in this study were 10 athletes (ages 16-19 years) at Pusdiklat PB Rada Kota Binjai Indonesia in 2021. The design of this study is descriptive quantitative. The instruments used are physical fitness tests which include a 60-meter running test, elbow hanging test, sitting baring test, upright jump test and 1200-meter running test. Research data collection techniques using test and measurement provisions in physical fitness test guidelines. Data analysis techniques that are through quantitative data obtained are analyzed descriptive statistics, further interpreted in the category of assessment of the physical fitness component of athletes. The results showed that the level of physical fitness with a range of results of 14-17 showed a good category of 7 people (85%) and with a range of results of 10-13 showed a category of less than 3 people (25%). So based on the results of research it can be concluded that the level of physical fitness of Badminton Pusdiklat PB Rada Kota Binjai in 2021 is categorized as Good. This research has implications for badminton coaches determining physical exercise programs, techniques, and tactics so that they can be optimal in improving the achievement of their athletes. The contribution of this research is to provide an overview of future research to be able to provide a variety of exercise programs to the optimization of physical fitness of athletes. Keywords: Physical Fitness, Athlete, Badminton, Survey

The Pattern of Affective Responses to Dance-Based Group Exercise Differs According to Physical Fitness, as Measured by a Smartwatch

The present study investigated the effect of a dance-based aerobic exercise, on the affective experiences of participants with different fitness levels. Thirty-two college students were enrolled in the same dance fitness course, tested using a physical fitness test (the National Fitness Project 100) and grouped accordingly to 15 sports majors (high-fit group) and 17 non-sports majors (low-fit group). Together, they participated in a single-session dance fitness program using 11 basic dance steps incorporated in Zumba rhythms of merengue and reggaeton for 47 min including warm-up and cool-down. Pre- and post-exercise affects were measured using the PANAS-X transmitted to each participant’s smartphone. During exercise, participants’ heart rate (HR) and their responses to the felt arousal scale (FAS) and the feeling scale (FS) by exercise section were measured using tailor-made applications on a smartwatch. Results showed that the intensity of exercise for the same exercise program was lower in the high-fit group than in the low-fit group, as evidenced by %HRmax. In addition, the pattern of affective change throughout the exercise sections was different according to the groups’ fitness levels, while the affective improvement was greater in the high-fit group. This study confirmed that physical fitness is a major variable influencing the relationship between exercise and affect.