Digitizing Student Nutritional Status Monitoring through the Development of Anthropometric Applications: Longitudinal Studies of BMI and Abdominal Circumference

Fatmayanti Nawai; Mahyudin  Bami; Nur Natalia H  Uri; Irmariani  Irbar; Ade  Chairina

doi:10.58344/ihj.v5i2.906

Authors

Fatmayanti Nawai Poltekkes Kemenkes Gorontalo
Mahyudin Bami Poltekkes Kemenkes Gorontalo
Nur Natalia H Uri Poltekkes Kemenkes Gorontalo
Irmariani Irbar Poltekkes Kemenkes Gorontalo
Ade Chairina Stikes Bakti Nusantara Gorontalo

DOI:

https://doi.org/10.58344/ihj.v5i2.906

Keywords:

bmi, abdominal circumference, anthropometry, nutrition students, android apps

Abstract

Student nutritional status is an important indicator in determining the health quality of young adults. Changes in lifestyle during the education period can affect students’ anthropometric conditions, particularly body mass index (BMI) and abdominal circumference. This study aimed to analyze changes in BMI and abdominal circumference among students of the Department of Nutrition over a one-year period without intervention and to develop an Android-based anthropometric application as a tool for monitoring nutritional status. The study used a longitudinal observational design with a paired-sample approach involving 106 students from the Department of Nutrition, consisting of the Diploma III Nutrition Program and the Bachelor of Applied Nutrition and Dietetics Program. Measurements were conducted in 2025 and repeated one year later, including body weight, height, abdominal circumference, and BMI. Data were analyzed using a paired sample test with a 95% confidence level.

References

Bride. (2023). Diversification of local food for food security from an economic, social, and cultural perspective. BRIN Publishing, member of Ikapi.

Brindley, C., Wijemunige, N., Dieteren, C., Bom, J., & Meessen, B. (2024). Health seeking behaviours and private sector delivery of care for non-communicable diseases in low- and middle-income countries: A systematic review. BMC Health Services Research, 1–15. https://doi.org/10.1186/s12913-023-10464-0

Chen, Z.-T., Wang, X.-M., Zhong, Y.-S., Zhong, W.-F., Song, W.-Q., & Wu, X.-B. (2024). Association of changes in waist circumference, waist-to-height ratio and weight-adjusted-waist index with multimorbidity among older Chinese adults: Results from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). BMC Public Health, 24(1), 318.

Dobosz, K. (2025). Mobile phones as assistive technology. Technology and Disability, 37(3), 199–211. https://doi.org/10.1177/10554181251355421

Fathoni, M., Hutauruk, T. L., Widiastuti, S., & Rahardian, R. L. (2025). Development of Android-based mobile applications for health monitoring using IoT sensors. 4(2), 12070–12075.

Fonseca-Pérez, D., Álvarez-Córdova, L., Arteaga-Pazmiño, C., Sierra-Nieto, V., Cagua-Ordoñez, J., Frias-Toral, E., Muscogiuri, G., Reytor-González, C., & Simancas-Racines, D. (2026). Dietary diversity, dietary patterns, and cardiometabolic health in university students: A cross-sectional study. Nutrients, 18(3), 511.

Hasanah, U., Zahira, S., Barokah, W., & Hajijah, S. (2025). The effect of mobile health use and monitoring features on healthy lifestyles: Literature review. Cindoku: Journal of Nursing and Health Sciences, 2(1), 39–45.

Kamruzzaman, M., Rahman, S. A., Akter, S., Shushmita, H., Ali, M. Y., Billah, M. A., Kamal, M. S., Elahi, M. T., & Paul, D. K. (2021). The anthropometric assessment of body composition and nutritional status in children aged 2–15 years: A cross-sectional study from three districts in Bangladesh. PLoS ONE, 16(9), e0257055.

Ler, P., Mak, J. K. L., Reynolds, C. A., Ploner, A., Pedersen, N. L., Jylhävä, J., Dahl Aslan, A. K., Finkel, D., & Karlsson, I. K. (2025). A longitudinal study of the bidirectional temporal dynamics between body mass index and biological aging. Journal of Cachexia, Sarcopenia and Muscle, 16(3), e13824.

Maria, I., Shimul, M. H., Hossain, R., Baroi, O., Khandker, S., & Mehriban, N. (2026). Nutritional knowledge, dietary practices, and nutritional status among rural adolescent girls in Bangladesh: A cross-sectional study. Clinical Nutrition Open Science, 100671.

Masoumi, S., Hajizadeh, E., Khalili, D., & Eskandari, F. (2026). Long-term time in target range waist circumference and incident type 2 diabetes mellitus: Longitudinal cohort study with 18 years of follow-up. Journal of Diabetes & Metabolic Disorders, 25(1), 57.

Nabilah, O. J. (2025). The utilization of digital technology in nutrition education: A review of literature trends and effectiveness. Journal of Health Education, 5(2), 144–154. https://doi.org/10.64931/jks.v5i2.136

Neta, A. da C. P. de A., Steluti, J., Ferreira, F. E. L. de L., Farias Junior, J. C. de, & Marchioni, D. M. L. (2021). Dietary patterns among adolescents and associated factors: Longitudinal study on sedentary behavior, physical activity, diet and adolescent health. Ciência & Saúde Coletiva, 26, 3839–3851.

Nugraha, A., Oktavia, N., Marseliana, R., Alia, S., & Marsya, S. (2025). The application of technology in improving the quality of nursing processes in hospitals: Literature review. 6, 5862–5874.

Sentagi Sesotya Utami, A., Nurohman, A., Mulyana, J., Maharani, T. K. A., Wibowo, N. M., Maharani, J. V., Tasallia, I. M., Maulidina, A., & Rahmadani, S. A. (2024). Development and training of digital anthropometric measurement system for Posyandu cadres as an effort to improve Posyandu services for toddlers and early prevention of stunting. Journal of Service, Research, Creativity, Innovation, and Appropriate Technology, 2(1), 141–152. https://doi.org/10.22146/parikesit.v2i1.9617

Setiawan, H., & Gazali, M. M. (2025). Design of a digital system for monitoring student mental and physical health based on DASS-21, BMI, and physical activity. Digital Transformation Technology, 5(1), 266–277. https://doi.org/10.47709/digitech.v5i1.6115

Tao, Y., Wall, M., Larson, N., Neumark-Sztainer, D., & Winpenny, E. M. (2024). Changes in diet quality across life transitions from adolescence to early adulthood: A latent growth analysis. The American Journal of Clinical Nutrition, 120(5), 1215–1224. https://doi.org/10.1016/j.ajcnut.2024.08.017

Waluyo, D., & Syarifuddin. (2022). The practice of public policy socialization in the digital age. Semi-Scientific Magazine Popular Mass Communication, 3(1), 1–8.

Wang, Q., Su, M., Zhang, M., & Li, R. (2021). Integrating digital technologies and public health to fight COVID-19 pandemic: Key technologies, applications, challenges and outlook of digital healthcare.