Knowledge, Awareness, and Perceived Risk in Sugar-Sweetened Beverage Purchasing Behavior Among Indonesian Gen Z Students
How to cite :
Introduction: Sugar-sweetened beverages (SSBs) are widely consumed by Gen Z despite their well-documented health risks, including obesity, metabolic disorders, and other non-communicable diseases. The increasing availability and attractiveness of contemporary sweetened beverages may contribute to higher consumption among young consumers. Understanding the associations between psychological and cognitive factors and purchasing behaviour is important for supporting effective health promotion strategies. This study aimed to analyse the associations between knowledge, awareness, perceived risk, and SSB purchasing behaviour among Gen Z.
Methods: This quantitative cross-sectional study involved 272 Gen Z university students in Indonesia who had consumed sweetened beverages within the past month. Respondents were recruited through a voluntary, non-probability sampling technique, and data were collected via an online structured questionnaire from mid-February to early March 2025. The questionnaire measured knowledge, awareness, perceived risk, and sweetened beverage purchasing behaviour. Data were analysed using descriptive statistics and Structural Equation Modelling (SEM) to examine associations among the variables.
Results: Knowledge was not significantly associated with awareness (β = −0.118; t = 1.763; p = 0.078). Knowledge was significantly associated with perceived risk (β = 0.133; t = 2.309; p = 0.021) and with beverage purchasing behaviour (β = −0.189; t = 3.000; p = 0.003). Awareness was significantly associated with perceived risk (β = 0.190; t = 3.004; p = 0.003) and with beverage purchasing behaviour (β = −0.153; t = 2.077; p = 0.038). Perceived risk was significantly associated with beverage purchasing behaviour (β = −0.377; t = 5.392; p < 0.001), showing the strongest association among the paths tested.
Conclusion: Knowledge, awareness, and perceived risk were significantly associated with SSB purchasing behaviour among Gen Z. Higher levels of knowledge, awareness, and perceived risk tended to be associated with lower SSB purchasing behaviour. These findings highlight the importance of health promotion efforts related to sugar intake and the health risks associated with excessive SSB consumption.
- Malik VS, Pan A, Willett WC, Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis 1–3. Am J Clin Nutr [Internet]. 2013;98(4):1084–102. Available from: https://doi.org/10.3945/ajcn.113.058362
- Costa D, Warkentin S, Oliveira A. Sugar-sweetened beverages, effects on appetite and public health strategies to reduce the consumption among children: a review. Porto Biomed J. 2022;7(1): e172. doi: https://doi.org/10.1097/j.pbj.0000000000000172.
- Dai J, Soto MJ, Dunn CG, Bleich SN. Short Communication Trends and patterns in sugar-sweetened beverage consumption among children and adults by race and / or ethnicity, 2003 – 2018. Public Health Nutr. 2021;24(9):2405–10.
- Rahmawati IT, Ulfah NH, Renawati A, Dewi BN, Rachmania Y. A Taste for Sweetness: Exploring Sugar-Sweetened Beverages Preferences Among College Students. Jurnal Kesehatan. 2025;16(3):370–83. doi: https://doi.org/10.26630/jk.v16i3.5398.
- Styaningrum SD, Yuliati E, Muminah NA, Andrian. Gambaran konsumsi minuman kekinian pada remaja putri di Yogyakarta. Prosiding Seminar Nasional Multidisiplin Ilmu. 2023;5(2):83–88. Available from: https://prosiding.respati.ac.id/index.php/PSN/article/view/574
- Park S, McGuire LC, Galuska DA. Regional differences in sugar-sweetened beverage intake among US adults. J Acad Nutr Diet. 2015;115(12):1996–2002.
- Shih YH, Chang HY, Wu HC, Stanaway FF, Pan WH. High sugar-sweetened beverage intake frequency is associated with smoking, irregular meal intake and higher serum uric acid in Taiwanese adolescents. J Nutr Sci. 2020;9:e7.
- World Health Organization. WHO calls on countries to reduce sugars intake among adults and children [Internet]. 2015. Available from: https://www.who.int/news/item/04-03-2015-who-calls-on-countries-to-reduce-sugars-intake-among-adults-and-children
- Malik VS, Popkin BM, Bray GA, Després JP, Hu FB. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation. 2010;121(11):1356–64.
- Rosita N. Analisis kandungan gula pada minuman kekinian thai tea, milk boba, dan ice tea di uin jakarta. J Nat Sci. 2023;4(2):71–8.
- Akhriani M, Fadhilah E, Kurniasari FN. Hubungan konsumsi minuman berpemanis dengan kejadian kegemukan pada remaja di SMP Negeri 1 Bandung. Indones J Hum Nutr. 2016;3(1):29–40.
- Indonesia KKR. Peraturan Menteri Kesehatan Republik Indonesia Nomor 30 Tahun 2013 tentang Pencantuman Informasi Kandungan Gula, Garam, dan Lemak serta Pesan Kesehatan untuk Pangan Olahan dan Pangan Siap Saji. 2013.
- International Diabetes Federation. IDF Diabetes Atlas. 11th ed. International Diabetes Federation; 2025.
- Brucks M. The Effects of Product Class Knowledge on Information Search Behavior. J Consum Res. 1985;12(1):1–16. doi: https://doi.org/10.1086/209031.
- Ahmad N, Fahad N, Zaki M, Alam Z, Khalid M. Understanding consumer attitude and purchase intention of organic food products. Spanish J Mark - ESIC. 2025;29(2):1–21.
- Pathak VK, Pathak A. Understanding perceived risk: A case study of green electronic consumer products. Manag Insight. 2017;13(1):33–7.
- Tao H, Sun X, Liu X, Tian J, Zhang D. The impact of consumer purchase behavior changes on the business model design of consumer services companies over the course of COVID-19. Front Psychol. 2022; 13:818845.
- Yuliati LN, Simanjuntak M. Indonesian consumer complaint behavior: The role of information seeking, knowledge, purchase behavior, and tendency to talk. Glob Bus Financ Rev [Internet]. 2024;29(1):57–71. Available from: https://doi.org/10.17549/gbfr.2024.29.1.57
- Carl AE, Taillie LS, Grummon AH, Lazard AJ, Higgins ICA, Sheldon JM, et al. Awareness of and reactions to the health harms of sugary drinks: An online study of US parents. Appetite. 2021; 164:105234.
- Wu W, Zhou L, Chien H. Impact of consumer awareness, knowledge, and attitudes on organic rice purchasing behavior in China. J Food Prod Mark. 2019;25(5):549–65.
- Gerber C, Ward S, Goedhals-Gerber L. The impact of perceived risk on on-line purchase behaviour. Risk Gov Control Financ Mark Institutions. 2014;4(4):99–106.
- Hanifah RA, Wiboworini B, Budiastuti VI. Tren Konsumsi Minuman Manis Kekinian dan Efek yang Dirasakan Pada Remaja. Temu Ilm Nas Persagi. 2023;5(1).
- Khofanda M, Belgiawan PF. Sweetened packaged beverage purchase intention and behavior based on subjective norm, perceived risk, and perceived value. KnE Soc Sci. 2018;884–902.
- Wang CW, Chen DR. Associations of sugar-sweetened beverage knowledge, self-efficacy, and perceived benefits and barriers with sugar-sweetened beverage consumption in adolescents: A structural equation modeling approach. Appetite. 2022; 168:105663.
- Badan Pusat Statistik. Hasil Sensus Penduduk 2020. Jakarta; 2021.
- Chang A, Ho M, Jiao W, Lu Q, Liu MT, Schulz PJ. Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study. J Med Internet Res. 2023;25: e47595. doi: https://doi.org/10.2196/47595.
- Jones CL, Jensen JD, Scherr CL, Brown NR, Christy K, Weaver J. The Health Belief Model as an explanatory framework in communication research: Exploring parallel, serial, and moderated mediation. Health Commun. 2015;30(6):566–76.
- Kim S, Kim S. Analysis of the impact of health beliefs and resource factors on preventive behaviors against the COVID-19 pandemic. Int J Environ Res Public Health. 2020;17(22):8666.
- Dwidienawati D, Pradipto Y, Indrawati L, Gandasari D. Internal and external factors influencing Gen Z wellbeing. BMC Public Health. 2025;25(1):1584.
- Murairwa S. Voluntary sampling design. Int J Adv Res Manag Soc Sci. 2015;4(2278–6236):184–200.
- Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Lawrence Erlbaum Associates; 1988.
- Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149–60.
- Kulsuwiponchai W, Iamsupasit S, Taneepanichskul S, Suttiwan P. Development and Validation of the Sugar-sweetened Beverages Knowledge Questionnaire (SSBKQ) for Undergraduate Students. World J Nutr Heal. 2019;7(1):6–10.
- Nur Islami Mohd Fahmi Teng, Norsham Juliana Nordin, Siti Zarifah Abd Latif. Development and validation of a questionnaire assessing the knowledge, attitudes and practices of young adults in Malaysia towards sugar sweetened beverages. Int J Res Pharm Sci [Internet]. 2019 Oct 16;10(4):2992–9. Available from: https://ijrps.com/v10i4/1406
- Abu Bakar SNAA, Ali A, Abdul Rahman AR, Mhd Jalil AM, Zakaria NS. Unraveling the Sugar Rush: A Cross-sectional Study of Knowledge, Attitudes, and Practices Related to Sugar-Sweetened Beverages Consumption among Malaysian Young Adults. Malays J Med Health Sci. 2024;20(1):152–60. doi: https://doi.org/10.47836/mjmhs.20.1.20.
- Sawyer L, Oddo VM, Fretts A, Knox MA, Chan N, Saelens BE, et al. Impacts of the Seattle sweetened beverage tax on the perceived healthfulness of sweetened beverages. Nutrients. 2022;14(5):993.
- Dono J, Ettridge K, Wakefield M, Pettigrew S, Coveney J, Roder D, et al. Nothing beats taste or convenience: A national survey of where and why people buy sugary drinks in Australia. Aust N Z J Public Health. 2020;44(4):291–4.
- Fausnacht AG, Myers EA, Hess EL, Davy BM, Hedrick VE. Update of the BEVQ‐15, a beverage intake questionnaire for habitual beverage intake for adults: determining comparative validity and reproducibility. J Hum Nutr Diet. 2020;33(5):729–37.
- Guttman L. A basis for scaling qualitative data. Am Sociol Rev. 1944;9(2):139–50.
- DeVellis RF, Thorpe CT. Scale development: Theory and applications. Sage publications; 2021.
- Nunnally JC. Psychometric Theory. 2nd ed. McGraw-Hill; 1978.
- Sarstedt M, Diamantopoulos A, Salzberger T. Should we use single items? Better not. J Bus Res. 2016;69(8):3199–203. doi: https://doi.org/10.1016/j.jbusres.2016.02.040.
- Hair JF, Risher JJ, Sarstedt M, Ringle CM. When to use and how to report the results of PLS-SEM. Eur Bus Rev. 2019;31(1):2–24.
- Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50.
- Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci. 2015;43(1):115–35.
- Billich N, Blake MR, Backholer K, Cobcroft M, Li V, Peeters A. The effect of sugar-sweetened beverage front-of-pack labels on drink selection, health knowledge and awareness: An online randomised controlled trial. Appetite. 2018; 128:233–41.
- Michałowska M, Kułyk P, Pietrow L. Consumer risk in the purchasing process in the organic food market. Sustainability. 2024;16(21):9205.
- Roseman MG, Joung HW, Choi EKC, Kim HS. The effects of restaurant nutrition menu labelling on college students’ healthy eating behaviours. Public Health Nutr. 2017;20(5):797–804.
- Rahmi S, Ilyas GB, Tamsah H, Munir AR. Perceived risk and its role in the influence of brand awareness on purchase intention: study of Shopee users. J Siasat Bisnis. 2022;26(1):97–109.
- Tjaden J, Gninafon H. Raising awareness about the risk of irregular migration: quasi‐experimental evidence from Guinea. Popul Dev Rev. 2022;48(3):745–66.
- Liu Z, Si W, Zhao Q, Tao C. Does subjective dietary knowledge affect sugar-sweetened carbonated beverages consumption and child obesity? empirical evidence from the inner Mongolia autonomous region in China. Int J Environ Res Public Health. 2021;18(7):3713.
- Hagmann D, Siegrist M, Hartmann C. Taxes, labels, or nudges? Public acceptance of various interventions designed to reduce sugar intake. Food Policy. 2018; 79:156–65.
- Mitchell V. Consumer perceived risk: conceptualisations and models. Eur J Mark. 1999;33(1/2):163–95.
- Yuliati LN, Dradjat HA, Simanjuntak M. Online bike: Role of perceived technology, perceived risk, and institution-based trust on service usage via online trust. Cogent Bus Manag [Internet]. 2020;7(1). Available from: https://doi.org/10.1080/23311975.2020.1798067

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.