Studies found that cardiovascular responses to exercise are enhanced in individuals with obesity and are associated with a greater cardiac output (CO) response compared to normal weight controls. However, the mechanisms underlying these altered responses during dynamic exercise are not clear. We investigated whether the cardiovascular responses mediated by the muscle metaboreflex (MMR) activation are augmented in obese men during both static and dynamic exercise. Twenty males (10 obese (OG) and 10 non-obese (NOG)) were studied. Changes in CO, mean arterial pressure (MAP), and total vascular conductance (TVC) were compared between the two groups during dynamic handgrip exercise (DHE), post-exercise muscular ischemia (PEMI), and dynamic exercise corresponding to 40%, 60% and 80% workloads. Subjects completed 2 min of DHE at 30% of MVC, followed by 2 min of PEMI. MAP, CO, and TVC responses to DHE and dynamic exercise were significantly higher in OG, whereas there were no differences during PEMI. Increases in CO and MAP during mild to heavy dynamic exercise were seen in both groups, but the changes in these variables were greater in the OG. There were no significant differences in TVC between the two groups. Compared to NOG, the augmented blood pressure response to DHE and dynamic exercise in OG was associated with a greater increase in CO. Thus, the augmented CO and MAP responses were not associated with the activation of the MMR. Consequently, additional factors specific to obesity, such as the mechanoreflex, may have been involved.

The purpose of this study is to compare the physical fitness level of adolescents through a physical fitness assessment and a circuit exercise program. A total of 142 middle school students participated. Physical education class consists of a physical fitness assessment, namely, physical activity promotion system (PAPS), and a circuit exercise program. The PAPS measurements include endurance, flexibility, strength, power, body mass index, and total score. The circuit exercise program consists of twist spine, hand walking, rolling squat, cross knee up, jumping and squat, and level-up pacer. First, there were significant differences in PAPS and circuit exercise program according to grade. Second, there was a significant difference in the results of the circuit exercise program according to the level of each physical fitness variable of PAPS. Third, significant correlations were found in the results of the PAPS and circuit exercise program. The use of a circuit exercise program to measure fitness for adolescents can offer convenience for school physical education and be of value as a measure of physical fitness for adolescents. In addition, the circulatory exercise programs used in this study are thought to be applicable to exercise prescriptions to improve endurance, strength, and BMI.

The purpose of this study is to develop a comprehensive and systematic method and standard for evaluating children’s physical activity competency as a solution to the problem of increasing child obesity rates due to a decrease in physical activity among children. This study was used a cross-sectional study design. A literature review and Delphi survey were conducted to develop children’s physical activity competency evaluation. The evaluation criteria were presented based on the measurement data of metropolitan area kindergarten students (228 subjects) on the 2016 winter vacation. Items in the evaluation of children’s physical activity competency test battery include health physical strength, basic movement skills, physical activity habits, and physical activity attitudes. Physical fitness for health consisted of muscle strength and endurance (sit-up), flexibility (sit and reach, trunk lift) and body composition (BMI). Fundamental movement skills consisted of mobility (run, hop, jump), stability (static balance, dynamic balance), and control (throw kick). Physical activity habits consisted of the amount of daily steps (steps), exercise time, screen time, and sleep time. Physical activity attitudes consisted of preference, enjoyment, and confidence. The evaluation criteria for child physical activity competency test battery were presented in five stages, divided by age and gender. With the developed evaluation of children’s physical activity competency, the overall level of physical fitness for health, fundamental movement skills, physical activity habits, and physical activity attitudes of kindergarteners in the metropolitan area could be confirmed, and standards were presented.

The purpose of this study was to develop criteria for an adolescent circuit exercise program. The subjects of this study were 5268 middle- and high-school students. It consisted of three types of circuit exercise programs which were conducted in the physical education class. In the result of this study, we have found two significant finding. First, there were statistically significant differences by grade level and gender in three types of circuit exercise programs. Second, in order to improve the utilization rate and convenience of various adolescents’ physical activity environments and the field of school physical education, the gender of each circuit exercise program was classified and the five-grade evaluation criteria were presented. The criteria for circuit exercise program developed in this study will be utilized for various youth physical activities to contribute to improving health and physical fitness. In addition, physical education teachers are expected to use this criteria as a standard for evaluating the physical fitness level of adolescents.

Objective: Combined interventions of physical activity and cognitive training have been shown to effectively enhance physical and mental factors in older adults. Digital-based tools offer various social advantages and may be more effective in improving the physical and mental well-being of older adults. As digital health content can simultaneously provide physical activity and cognitive training, this study aims to investigate the effects of a digital-based physical and cognitive training program on the physical and mental health of older women and to explore the potential of digital tools for older adults. Methods: The participants, older women, engaged in the program three times a week for 12 weeks, with each session lasting 30 minutes (10 minutes for each of the three components). The content included digital health tools such as VR, motion tracking, and touchscreens designed for cognitive and physical fitness. Measurements were taken one week before and after the intervention for both groups, assessing body composition, cognitive function, depression, and quality of life. Results: Data from 36 participants were analyzed. Interaction effects were observed in body fat mass ( P = .011) and body fat percentage ( P = .01), with improvements noted in the digital intervention group. Cognitive function ( P = .017) and depression ( P = .017) also showed significant improvements in the digital intervention group. Quality of life subdomains, including Physical Function ( P = .009), Limitation of Physical Function ( P = .004), and Pain ( P = .002), demonstrated significant interaction effects, though no interaction effects were found in other subdomains. Conclusion: This study found that digital-based combined interventions did not significantly impact body comb position but did improve cognitive function and depression in older women. These findings suggest that digital tools can be effectively utilized for the comprehensive management of cognitive function and mental health well-being. Such insights contribute to promoting healthy aging and provide an efficient method for managing the mental and physical health of older adults.