The world of physical medicine and rehabilitation still believes that exercise is medicine. Muscle mass will naturally decrease with aging, 3–8% every decade after a person turns 30 years old, getting worse over the age of 50 years, which is 5–10% every decade. Some studies state that for healthy people, resistance training (RT) performed 2–3 times per week with 12–20 total sets of exercises will add muscle mass. The addition of 1.4 kg of muscle mass was accompanied by the disappearance of about 1.8 kg of fat. RT plus aerobic exercises (AE) complemented with caloric resistance (CR) can result in a reduction of 5.1 kg or 7.1% of fat. Some research papers state that for stable CAD patients starting with 3 months of AE followed by an RT program of 40–60% intensity 1x RM, 1–2 sets, 8–10 repetitions, 2–3 days per week, duration not more than 60 minutes. Recommendation for a person with intellectual disability can be simple and harmless RT tools. The prescription for COVID-19 survivors consists of AE for 5 to 30 minutes with low to moderate intensity, plus 1–2 sets of RT, 8–10 reps at 30–80% 1xRM.
Introduction: Injuries are a major medical problem in military populations. The physical fitness assessment is a series of tests that measure and monitor physical fitness levels. The existing physical fitness assessment and formula used by the Indonesian Military requires a running test that only applies to healthy soldiers. This study attempted to construct a formula for assessing physical fitness using tests that soldiers may perform with lower limb injury/disability. Method: The design of the study was an internal cross-sectional comparison. This study included 104 healthy, well-trained male normal soldiers (NS) and 50 injured or disabled soldiers (DS) who matched the inclusion criteria. The NS was required to perform a 12-minute running and wheeling test, a ball-throwing test, push-ups, and lunges. The DS was also required to perform the same tests except for the 12-minute running test and lunges. The analysis of the data consisted of four steps: constructing a conceptual framework, describing the characteristics of each group, identifying significant indicators using Partial Least Square-Structural Equation Modeling (PLS-SEM) to develop a physical fitness formula, and determining whether the formula is appropriate for assessing physical fitness in running and wheeling tests. Result: There is no significant difference in the characteristics of NS and DS (p>0.05); thus, the subjects in both groups are comparable. Physical fitness test has several major contributing factors: distance, test method, muscle strength, and age. There is no significant difference in the number of NS in each category between the running and wheeling tests (p>0.05). Conclusion: Physical fitness formula= {1.1 × (0.98 × distance*) + (0.97 × method value**)} – (0.093 × age) – (0.17 × muscle strength***) Note: *) Distance traveled during running or wheeling test (meter). **) The running test method value is entered as 1, and the wheeling test method value is entered as 2. ***) The value of wheeling muscle strength is obtained from the ball-throwing test. In contrast, the value of running muscle strength can be determined by multiplying the result of the ball-throwing test by 2. These findings may be used for assessing the physical fitness of normal soldiers or those with lower limb injury/disability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.