Flavoured Beverages and Obesity Risk Among Public University Students: A Nutritional Analysis at UTHM Pagoh

Obesity among young adults is an increasingly prevalent public health issue and is often associated with the consumption of flavoured beverages or sugar-sweetened beverages (SSBs), which contribute excessive liquid calories. Although the relationship between SSBs and obesity has been widely discussed in the international literature, micro-contextual studies within the campus environment of Malaysian public universities remain limited. This study aims to identify the dominant types of flavoured beverages, purchasing factors and the relationship between flavoured beverage purchasing factors and students’ body mass index (BMI) at Universiti Tun Hussein Onn Malaysia (UTHM), Pagoh Campus. This cross-sectional quantitative study involved 300 students selected through simple random sampling, with data collected using a digital questionnaire and analysed using descriptive statistics and regression in SPSS. The findings indicate a high inclination toward flavoured beverages (M = 3.74), particularly tea- and coffee-flavoured beverages (M = 3.89), while the primary purchasing factor was the desire to feel refreshed (M = 4.20). In terms of BMI, 49% of respondents were in the normal category, while 34% were in the overweight category. Regression analysis showed a significant relationship between flavoured beverage purchasing factors and BMI (p < 0.001), but with a small effect (Adjusted R² = 0.082), indicating that obesity is influenced by various other factors. This study contributes important local empirical evidence for the development of data-driven campus health interventions to reduce obesity risk among university students. From an ethical perspective, data collection was conducted voluntarily through informed consent at the beginning of the Google Form; respondents’ confidentiality and anonymity were maintained in accordance with the principles of human research ethics. However, the cross-sectional design limits causal inference and the temporal direction between flavoured beverage purchasing factors and BMI cannot be ascertained. Self-reported measures of beverage preferences/motivations and BMI may introduce recall bias and social desirability bias and may lead to misclassification of obesity status. Therefore, the small effect finding (Adjusted R² = 0.082) supports the need for a more ecological multivariable model incorporating physical activity, overall diet, sleep, stress, socioeconomic status, and the campus food environment.

Sugar-sweetened beverages (SSB), obesity risk, body mass index (BMI), university students, dietary behaviour, campus food environment

1. Ahmed, E. H. M. (2019). The Nature and Types of Data. PEOPLE: International Journal of Social Sciences, 5(1), 718–726. https://doi.org/10.20319/PIJSS.2019.51.718726 [Google Scholar] [Crossref]

2. ALTamimi, J. Z., Alshwaiyat, N. M., Alkhalidy, H., AlKehayez, N. M., Alagal, R. I., Alsaikan, R. A., Alsemari, M. A., BinMowyna, M. N., & AlFaris, N. A. (2023). Sugar-Sweetened Beverages Consumption in a Multi-Ethnic Population of Young Men and Association with Sociodemographic Characteristics and Obesity. International Journal of Environmental Research and Public Health, 20(6), 4861–4861. https://doi.org/10.3390/ijerph20064861 [Google Scholar] [Crossref]

3. Bleich, S. N., Wang, Y. C., Wang, Y., & Gortmaker, S. L. (2009). Increasing Consumption of SugarSweetened Beverages Among US Adults: 1988–1994 to 1999–2004. The American journal of clinical nutrition, 89(1), 372-381. [Google Scholar] [Crossref]

4. Budai, B. C., & Lichthammer, A. (2021). Sugar Sweetened Beverages Consumption Among Female University Students. Developments in Health Sciences, 3(4), 88-93. [Google Scholar] [Crossref]

5. Cheng, S.-H., & Lau, M. Y. (2022). Increased Consumption of Sugar-Sweetened Beverages Among Malaysian University Students During the Covid-19. Malaysian Journal of Social Sciences and Humanities, 7(7), e001599–e001599. https://doi.org/10.47405/mjssh.v7i7.1599 [Google Scholar] [Crossref]

6. Chong, C. T., Lai, W. K., Zainuddin, A. A., Pardi, M., Sallehuddin, S. M., & Ganapathy, S. S. (2022). Prevalence of Obesity and Its Associated Factors Among Malaysian Adults: Finding From the National Health and Morbidity Survey 2019. Asia-Pacific Journal of Public Health, 34(8), 786–792. https://doi.org/10.1177/10105395221129113 [Google Scholar] [Crossref]

7. Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage. [Google Scholar] [Crossref]

8. Farhangi, M. A., Tofigh, A. M., Jahangiri, L., Nikniaz, Z., & Nikniaz, L. (2022). Sugar‐Sweetened Beverages Intake and the Risk of Obesity in Children: An Updated Systematic Review and Dose–Response Meta‐Analysis. Pediatric Obesity, 17(8). https://doi.org/10.1111/ijpo.12914 [Google Scholar] [Crossref]

9. Gibson, R.S. (2005) Principles of Nutritional Assessment. 2nd Edition, Oxford University Press Inc., New York. [Google Scholar] [Crossref]

10. Hall, K. D. (2018). Did the Food Environment Cause the Obesity Epidemic?. Obesity, 26(1), 11-13. [Google Scholar] [Crossref]

11. Hruby, A., & Hu, F. B. (2015). The Epidemiology of Obesity: A Big Picture. Pharmacoeconomics, 33(7), 673-689. [Google Scholar] [Crossref]

12. Institute for Public Health (IPH), MOH Malaysia. (2019). NHMS 2019 Report. Retrived: 24/2/2026,From:https://iku.nih.gov.my/images/IKU/Document/REPORT/NHMS2019/Report_NHMS20 19-NCD_v2.pdf [Google Scholar] [Crossref]

13. Malik, V. S., Popkin, B. M., Bray, G. A., Després, J. P., Willett, W. C., & Hu, F. B. (2010). Sugar-Sweetened Beverages and Risk of Metabolic Syndrome and Type 2 Diabetes: A Meta-Analysis. Diabetes care, 33(11), 2477-2483. [Google Scholar] [Crossref]

14. Martínez, A. P., Gallardo, P. T. R., Campos, A. G. L., Martínez, M. M. P., Valádez, A. L. G., Hidalgo, M. [Google Scholar] [Crossref]

15. J. P., ... & Epigmenio, A. M. Z. (2022). The Obesity. A Multi-Sector Problem. Acta Pediátrica De México, 45(2), 161-184. [Google Scholar] [Crossref]

16. McLellan, T. M., Caldwell, J. A., & Lieberman, H. R. (2016). A Review of Caffeine’s Effects on Cognitive, Physical and Occupational Performance. Neuroscience & Biobehavioral Reviews, 71, 294-312. [Google Scholar] [Crossref]

17. Nehlig, A. (2010). Is Caffeine a Cognitive Enhancer?. Journal of Alzheimer’s Disease, 20(s1), S85-S94. [Google Scholar] [Crossref]

18. Perera, C. H., Nayak, R., & Nguyen, L. V. T. (2022). Quantitative Data Presentation and Analysis: Descriptive Analysis. In Social media marketing and customer-based brand equity for higher educational institutions: Case of Vietnam and Sri Lanka (pp. 169-186). Singapore: Springer Nature Singapore. [Google Scholar] [Crossref]

19. Rosales-Ricardo, Y., Ortiz-Perez, M., Lopez-Merino, F., & Perez-Garcia, B. (2023). Obesity and Overweight as an International Public Health Problem. Bionatura (Ibarra - Impresa). https://doi.org/10.21931/rb/2023.08.03.15 [Google Scholar] [Crossref]

20. Siow, Y. Y., Tan, S. T., Tan, S. S., Ng, A. K., Kadir, N. A. B. A., & Tan, C. X. (2025). Nutrition Literacy and Dietary Behavior Among Malaysian Adults. Journal of Multidisciplinary Healthcare, 4551-4560. [Google Scholar] [Crossref]

21. Smith, A. P. (2005). Caffeine at Work. Human Psychopharmacology: Clinical and Experimental, 20(6), 441-445. [Google Scholar] [Crossref]

22. Vega-Muñoz, A., Gil-Marín, M., Contreras-Barraza, N., Salazar-Sepúlveda, G., & Losada, A. V. (2022). How to Measure Organic Fruit Consumer Behavior: A Systematic Review. Horticulturae, 8(4), 318–318. https://doi.org/10.3390/horticulturae8040318 [Google Scholar] [Crossref]

23. Wright, J. L., & Anstrom, C. (2023). The Association of Stress on Student’s Food Choices. Journal of the Academy of Nutrition and Dietetics, 123(9), A75–A75. https://doi.org/10.1016/j.jand.2023.06.262 [Google Scholar] [Crossref]

24. World Health Organization. (2015). Guideline: Sugars intake for adults and children. Retrived: 24/2/2026, From : https://www.who.int/publications/i/item/9789241549028 [Google Scholar] [Crossref]

25. World Medical Association. (2024). Declaration of Helsinki. Retrived: 24/2/2026, From: https://www.wma.net/what-we-do/medical-ethics/declaration-of-helsinki/ [Google Scholar] [Crossref]

26. Zhang, Y., Yang, H., Li, S., Li, W. D., & Wang, Y. (2021). Consumption of Coffee and Tea and Risk of Developing Stroke, Dementia, and Poststroke Dementia: A Cohort Study in the UK Biobank. PLoS medicine, 18(11), e1003830. [Google Scholar] [Crossref]

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