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All Journal The ASEAN Journal of Military and Preventive Medicine
Elies Fitriani
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The Relationship of Stress Level to Stress Level And Menstrual Cycle Among Military Medical Cadets Salsabila Azka; Trevicko Ardiansyah; Syahnadira Handadari; Adinda Suwarno; Mozart; Arief Setyawan; Rachma Hidana; Elies Fitriani
The ASEAN Journal of Military and Preventive Medicine Vol. 2 No. 1 (2025): January
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v2i1.22

Abstract

Background: Menstrual cycle regularity is an important indicator of reproductive health. Stress may disrupt menstrual function through neuroendocrine pathways, and military medical cadets may be vulnerable to both academic demands and semi-military training. This study aimed to determine the relationship between stress level and menstrual cycle among female military medical cadets at the Republic of Indonesia Defense University. Methods: This analytical observational study used a cross-sectional design. Ninety-five female medical cadets were recruited, and 92 respondents met the inclusion and exclusion criteria. Data were collected using Google Forms with the Perceived Stress Scale and a menstrual cycle questionnaire. The association between stress level and menstrual cycle was analyzed using the Chi-Square test, with statistical significance set at p < 0.05. Results: Most respondents experienced moderate stress (61/92; 66.3%), while 31 respondents (33.7%) had mild stress. Normal menstrual cycles were reported by 71 respondents (77.2%), whereas 21 respondents (22.8%) had abnormal menstrual cycles. The Chi-Square test showed a significant association between stress level and menstrual cycle (p = 0.008). Conclusion: Stress level was significantly associated with menstrual cycle patterns among military medical cadets. These findings highlight the importance of stress management and reproductive health monitoring in military medical education settings.
The Relationship Between Body Mass Index and Waist-to-Hip Ratio on Menstrual Cycle in Female Cadets of Cohort 4, Republic of Indonesia Defense University Tresnasih Nuraeni; Elies Fitriani; Flora Ekasari; Satria Pratama; Agus Sutarman
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.v2i2.26

Abstract

Background: Women’s reproductive health may be influenced by anthropometric factors, including body mass index (BMI) and waist-to-hip ratio (WHR). Menstrual-cycle disorders are common in adolescent and young adult women and may be associated with nutritional status, central adiposity, hormonal imbalance, and lifestyle factors. This study aimed to analyze the relationship between BMI and WHR with menstrual cycle patterns among female cadets of Cohort 4 at the Republic of Indonesia Defense University. Methods: This observational analytic study used a quantitative cross-sectional design. Female cadets meeting the inclusion and exclusion criteria were recruited. Anthropometric measurements were performed to calculate BMI and WHR. Menstrual-cycle data were collected using a structured questionnaire and categorized as normal or abnormal. Fisher’s exact test was used to evaluate the relationship between BMI and menstrual cycle and between WHR and menstrual cycle with a significance level of p<0.05. Results: A total of 55 female cadets were included. Most respondents had normal BMI (78.2%), while 60.0% had WHR classified as at risk. Fisher’s exact test showed no significant association between BMI and menstrual cycle (p=0.164), whereas WHR was significantly associated with menstrual cycle pattern (p=0.000). Conclusion: BMI was not significantly associated with the menstrual cycle among female cadets, but WHR showed a significant relationship. Interventions focusing on healthy nutritional status, ideal fat distribution, and physical activity may support reproductive health in female cadets.
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
Co-Authors Adinda Suwarno Agus Sutarman Arief Setyawan Flora Ekasari Mozart Muhammad Prasetyo Nirawan Putranto Rachma Hidana Salsabila Azka Satria Pratama Syahnadira Handadari Tresnasih Nuraeni Trevicko Ardiansyah