Body Surface Area as a Predictor of Energy Expenditure During Moderate Physical Work: Evidence from Generation Z Students

Authors

  • Baby Jane K. Wahab College of Science and Mathematics, Mindanao State University-Sulu, Philippines Author
  • Benladin A. Adam College of Science and Mathematics, Mindanao State University-Sulu, Philippines Author
  • Mirasol A. Montan̈o Cebu Normal University, College of Computing, Artificial Intelligence and Sciences, Cebu City, Philippines Author
  • Werdorada G. Isnani College of Science and Mathematics, Mindanao State University-Sulu, Philippines Author
  • Shelda B. Jikiri College of Liberal Arts, Western Mindanao State University, Zamboanga City, Philippines Author
  • Nurshahadah H. Ismael San Roque National High School, Zamboanga City, Philippines Author
  • Mudzna M. Marcos College of Science and Mathematics, Mindanao State University-Sulu, Philippines Author
  • Nadhira M. Lincoln College of Science and Mathematics, Mindanao State University-Sulu, Philippines Author
  • Abubakar P. Ilahan Ministry of Basic, Higher and Technical Education, TESDA, BARMM, Philippines Author

DOI:

https://doi.org/10.65339/ijsair.V2.I2.539

Keywords:

Body Surface Area, Biophysics, Energy Expenditure, Generation Z, Health Assessment, Moderate Physical Work, Physical Activity, Public Health Sustainability, Quality Education

Abstract

This study examined Body Surface Area (BSA) as a predictor of Energy Expenditure (EE) during moderate physical work among Generation Z students. Anchored on physiological and biophysical concepts linking body size, metabolic demand, and energy utilization, the study employed a quantitative-correlational research design. It involved 100 Generation Z students enrolled in Biophysics classes at Mindanao State University-Sulu. A purposive sampling technique was used, and data were gathered through anthropometric measurements and standard physiological computations. Body Surface Area was computed using height and width measurements, while Energy Expenditure was estimated using the Metabolic Equivalent of Task formula. Descriptive statistics were used to summarize the respondents’ profile, while Pearson’s correlation coefficient was applied to determine the relationship between BSA and EE at the 0.10 level of significance. Findings showed that most respondents were female, mostly aged 21 to 24 years old, with a mean age of 22.9 years. The study revealed a strong, positive, and statistically significant relationship between Body Surface Area and Energy Expenditure, with r = 0.753 and p < .001. This indicates that students with larger body surface areas tend to expend more energy during moderate physical work. The study concluded that BSA may serve as a useful predictor of EE among Generation Z individuals. Future studies are recommended to include a more balanced gender distribution and additional variables such as body composition, fitness level, and lifestyle practices. The study supports SDG 3 on Good Health and Well-Being and SDG 4 on Quality Education by contributing to health assessment, physical activity planning, and scientific inquiry in Biophysics. Its sustainability impact lies in supporting public health and educational sustainability through evidence-based understanding of energy use among young adults.

References

American College of Sports Medicine. (2021). ACSM’s guidelines for exercise testing and prescription (G. Liguori, Ed.; 11th ed.). Wolters Kluwer.

Astrand, P. O., Rodahl, K., Dahl, H. A., & Stromme, S. B. (2003). Textbook of work physiology: Physiological bases of exercise (4th ed.). Human Kinetics.

Davidovits, P. (2008). Physics in biology and medicine (3rd ed.). Academic Press.

Hall, J. E., & Hall, M. E. (2021). Guyton and Hall textbook of medical physiology (14th ed.). Elsevier.

Heymsfield, S. B., Lohman, T. G., Wang, Z., & Going, S. B. (2005). Human body composition (2nd ed.). Human Kinetics.

McArdle, W. D., Katch, F. I., & Katch, V. L. (2015). Exercise physiology: Nutrition, energy, and human performance (8th ed.). Wolters Kluwer.

Mosteller, R. D. (1987). Simplified calculation of body-surface area. The New England Journal of Medicine, 317(17), 1098. https://doi.org/10.1056/NEJM198710223171717

The jamovi project. (2025). jamovi (Version 2.6.44) [Computer software]. https://www.jamovi.org

Twenge, J. M. (2017). iGen: Why today’s super-connected kids are growing up less rebellious, more tolerant, less happy—and completely unprepared for adulthood—and what that means for the rest of us. Atria Books.

World Health Organization. (2020). WHO guidelines on physical activity and sedentary behaviour. https://www.who.int/publications/i/item/9789240015128

Downloads

Published

2026-06-02

Issue

Section

Articles

How to Cite

Wahab, B. J., Adam, B., Montan̈o M., Isnani, W., Jikiri, S., Ismael, N., Marcos, M., Lincoln, N., & Ilahan, A. (2026). Body Surface Area as a Predictor of Energy Expenditure During Moderate Physical Work: Evidence from Generation Z Students. International Journal of Sustainability and Advanced Integrated Research, 2(2), 3018-3022. https://doi.org/10.65339/ijsair.V2.I2.539