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All Journal The ASEAN Journal of Military and Preventive Medicine
Nirawan Putranto
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Effectiveness of the 20-20-20 Algorithm in Reducing the Risk of Computer Vision Syndrome (CVS) Among Military Medical Cadets at the Republic of Indonesia Defense University Muhammad Prasetyo; Nirawan Putranto; Satria Pratama; Elies Fitriani
The ASEAN Journal of Military and Preventive Medicine Vol. 2 No. 2 (2025): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v2i2.27

Abstract

Background: The digital era has changed many aspects of life, especially in education and professional fields, with increased reliance on computers and visual display terminals for work, communication, and learning. In academic environments, particularly among medical students, computers are essential for accessing information and completing assignments. However, excessive screen use can cause eye strain and visual discomfort. One common condition associated with prolonged screen time is computer vision syndrome (CVS). To reduce the risk of CVS, the 20-20-20 algorithm is recommended: taking a 20-second break every 20 minutes to look at an object 20 feet away. This study aimed to evaluate the effectiveness of the 20-20-20 algorithm among medical students at the Republic of Indonesia Defense University. Methods: This study used a one-group pretest-posttest design. A total of 77 cadets from the Military Medicine Study Program participated. Respondents underwent CVS symptom measurement before the intervention, applied the 20-20-20 algorithm for two weeks, and repeated symptom measurement after the intervention. Data were analyzed using the McNemar test. Results: There was a significant change in CVS symptoms after implementation of the 20-20-20 algorithm. Of 77 respondents, 34 respondents did not experience CVS symptoms at pretest and remained asymptomatic at posttest. A total of 25 respondents who previously experienced CVS symptoms no longer experienced CVS after intervention. Statistical analysis showed a p-value of 0.000, indicating a significant difference before and after intervention. Conclusion: The 20-20-20 algorithm was effective in reducing the risk of CVS among military medical students. With p < 0.05, this algorithm can be considered an effective, simple, and practical solution for computer users at risk of CVS
The Relationship Between Body Composition and 12-Minute Run Test Among Cadet Medical Students in the Undergraduate Medical Program, Republic of Indonesia Defense University Disty Chania; Justin Munawar; Hanum Fadhilah; Antonius Reuben; Grace Corlesa; Roby Firmansyah; Markus Wibowo; Nirawan Putranto
The ASEAN Journal of Military and Preventive Medicine Vol. 2 No. 2 (2025): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v2i2.30

Abstract

Background: Body composition influences physical performance, including running ability. Muscle mass and fat mass are important determinants of strength, endurance, and movement efficiency. This study analyzed the relationship between body composition and 12-minute running distance among cadet medical students. Methods: This quantitative observational analytic study used a cross-sectional design. Cadet medical students from Cohort 4 of the Republic of Indonesia Defense University were recruited. Body composition was measured using bioelectrical impedance analysis, and running performance was assessed with a 12-minute run test. Associations between muscle mass, fat mass, and running distance were analyzed using simple linear regression. Results: Seventy-two cadets were included. The mean muscle mass was 43.5%, mean fat mass was 21.6%, and mean 12-minute running distance was 2376 m. Muscle mass showed a strong positive correlation with running distance, whereas fat mass showed a strong negative correlation. Male cadets had higher muscle mass and achieved longer running distances than female cadets. Conclusion: Body composition is significantly associated with 12-minute running performance. Higher muscle mass supports better running distance, whereas higher fat mass reduces running efficiency. Individualized training and nutritional strategies should consider body composition to optimize cadet fitness.
The Relationship Between Body Composition and 12 Minute Run Test Among Cadet Medical Students in The Undergraduate Medical Program Republic of Indonesia Defense University Disty Chania; grace corlesa; roby syah putra firmansyah; markus wibowo; nirawan putranto; justin ibnu hakim munawar; hanum fadhilah; Antonius Reuben
The ASEAN Journal of Military and Preventive Medicine Vol. 3 No. 1 (2026): January
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v3i1.37

Abstract

Body composition significantly influences physical performance, including running ability. Muscle mass and fat mass are key factors in determining strength, endurance, and efficiency. This study analyzes the relationship between body composition and 12- minute running distance among cadet students in the Undergraduate Medical Program Cohort 4 at the Republic of Indonesia Defense University. This cross-sectional study measured body composition using bioelectrical impedance analysis (BIA) and assessed running performance through a 12-minute run test. Statistical analysis was conducted to evaluate the relationship between muscle mass, fat mass, and running distance. The study found a significant relationship between body composition and running performance. Male participants, with higher muscle mass and lower fat mass, outperformed females in average running distance and maximum distance achieved. Muscle mass and fat mass significantly affect 12-minute running performance, highlighting their importance in designing effective physical training programs. Further research is needed to explore additional factors influencing physical performance.
Co-Authors Antonius Reuben Disty Chania Disty Chania Elies Fitriani Grace Corlesa Hanum Fadhilah justin ibnu hakim munawar Justin Munawar Markus Wibowo Muhammad Prasetyo Roby Firmansyah roby syah putra firmansyah Satria Pratama