Factors Related to Thai Fast-Food Consumption among the Healthcare Undergraduate Students in Thailand

Authors

  • Nalinya Chantakhum Nonnarai Hospital, Surin, Thailand
  • Rachdagoorn Sensai โรงพยาบาลส่งเสริมสุขภาพตำบลพระยืน จังหวัดขอนแก่น
  • Kritkantorn Suwannaphant Sirindhorn College of Public Health Khon Kaen, Faculty of Public Health and Allied Health Science, Praboromarajchanok Institute, Thailand
  • Lerkiat Wicharit Boromarajonani College of Nursing, Nakhon Ratchasima, Faculty of Nursing, Praboromarajchanok Institute, Thailand
  • Thira Suphaudomphon Sirindhorn College of Public Health Khon Kaen, Faculty of Public Health and Allied Health Science, Praboromarajchanok Institute

Keywords:

Thai fast-food, theory of planned behavior, adolescent health, consumption behavior

Abstract

Fast-food consumption behavior represented a significant health-related issue, particularly among adolescents. Contemporary research on Thai fast-food and its health implications remained remarkably limited.This study aimed to assess the behavior of Thai fast-food consumption and analyze the factors related to Thai fast-food consumption in the healthcare undergraduate students. The sample consisted of 295 undergraduate students from a public health college in Thailand during the 2023 academic year, selected through multi-stage random sampling. Data collection was conducted using a questionnaire that underwent content validity testing by three experts and reliability testing, yielding Cronbach’s alpha coefficients between 0.71 and 0.91. The data were analyzed using frequency, percentage, mean, standard deviation (SD), median, maximum, minimum, and chi-square tests at a 95% confidence interval (CI). The study found that the majority of participants exhibited a moderate level of Thai fast-food consumption behavior (58.65%). Factors related to Thai fast-food consumption included body mass index (BMI) and the study program (p = 0.022 and 0.008, respectively). According to the Theory of Planned Behavior (TPB), all five aspects: intention (OR=0.252, 95%CI=0.19 - 0.34), attitude (OR=0.107,95%CI=0.02 - 0.47), subjective norms (OR=0.147,95%CI= 0.09 - 0.25), perceived behavioral control (OR=0.360 95%CI=0.28 - 0.47), and actual behavioral control (OR=0.517,95%CI=0.40 - 0.67) were significantly related to Thai fast-food consumption behavior (p<0.001). This study found that most healthcare undergraduate students showed moderate to good Thai fast-food consumption behaviors, but low to moderate understanding of the concept. Future research should focus on identifying clearer causal relationships and behavioral patterns in Thai fast-food consumption in the mass population for future monitoring.

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References

World Health Organization. Noncommunicable diseases [Internet]. 2025 [cited 2025 Dec 9].

Available from:https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases

United Nations Thailand. Prevention and control of noncommunicable diseases in Thailand – the case for

investment [Internet]. 2021 [cited 2025 Sep 21]. Available from: https://thailand.un.org/en/159788-

prevention-and-control-noncommunicablediseases-thailand-%E2%80%93-case-investment

Mahmud DA, Abelter E, Ming KY, Khairul Syafiq Ikhwan M, Mohd Yusof MF. Factors that influence university

students’ attitudes towards fast-food consumption in Malaysia during the recovery period of COVID-19.

Journal of Hospitality, Tourism and Wellness Studies 2024;1(1):90–102.

Andriyani A, Lee YZ, Win KK, Tan CK, Amini F, Tan ESS, et al. Fast food consumption, obesity and nutrient

intake among adults in Indonesia. Food Research 2024;8(Suppl 3):55–65.

Bohlouli J, Moravejolahkami AR, Ganjali Dashti M, Balouch Zehi Z, Hojjati Kermani MA, Borzoo-Isfahani M, et al. COVID-19

and fast-foods consumption: a review. International Journal of Food Properties 2021;24(1):203-9.

Abd Rahman bin Husin TY, Qin MBHA. Study on relationship of socio demographic, knowledge, attitude and practice on

fast-food intake among university of Cyberjaya medical students. International Journal for Multidisciplinary Research

;6(3):1-14.

Alonge O, Shiode S, Shiode N. The impact of fast-food density on obesity during the COVID-19 lockdown in the UK:

a multi-timepoint study on British cohort data. Sustainability 2023;15(11):8480.

Pengpid S, Peltzer K. Multiple behavioural risk factors of non-communicable diseases among adolescents in four

Caribbean countries: prevalence and correlates. International Journal of Adolescent Medicine and Health 2021;

(6):305-12.

Nonato IL, Minussi LDA, Pascoal GB, De-Souza DA. Nutritional issues concerning street foods.

Journal of Clinical Nutrition & Dietetics 2016;2(1):1-9.

Boonchoo W, Takemi Y, Hayashi F, Koiwai K, Ogata H. Dietary intake and weight status of urban Thai preadolescents

in the context of food environment. Prev Med Rep 2017;8:153–7.

Fitrianti D, Mardhiati R, Novianus C. Determinants of fast-food consumption behavior in adolescents in the city

of Jakarta. J Riset Kesehatan 2023;12(1):1–7.

Handayani L, Nurfadilah S. Relationship between knowledge and fast-food with obesity in adolescents.

Community Research of Epidemiology Journal 2023;3(2):93-100.

Kirana DS, Wirjatmadi B. Literature review: correlation of fast food intake to overweight in adolescents.

Media Gizi Kesmas 2023;12(1):434–40.

Hsieh FY, Bloch DA, Larsen MD. A simple method of sample size calculation for linear and logistic regression.

Stat Med 1998;17(14):1623–34.

Hnoohom N, Yuenyong S. Thai fast-food image classification using deep learning. In: Institute of Electrical

and Electronics Engineers. 2018 International ECTI Northern Section Conference on Electrical, Electronics,

Computer and Telecommunications Engineering (ECTI-NCON); 25-28 Feb 2018; Chiang Rai, Thailand. New York: IEEE;

p.116-9.

Bhise R, Dhanba P, Kshirsagar R. Classification of Thai fast food using convolutional neural network. International

Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 2019;7(1):26-8.

Salapurkar DP, Vishwakarma B, Shinde M, Oka S,Nighut S. Categorization of Thai fast food based on

image classification. International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences

;7(1):19-20.

Ikachoi AO, Pepela A, Bitok J. Customer’s food nutrition knowledge and its influence on their menu choice in

restaurants. Journal of Hospitality and Tourism Management 2023:6(1):22–9.

Alia AMM, Wahba DD, Atia MAA. The impact of customers’ nutritional awareness on food habits, behaviors,

and choices in fast food restaurants. Minia Journal of Tourism and Hospitality Research 2024;18(1):109-33.

Nabila S, Haque MJ, Morshed MM, Bari MS. Exploring the relationship between knowledge of fast food and junk

food consumption and sociodemographic characteristics among high school students in Bogura Town, Bangladesh.

Saudi J Med Pharm Sci 2024;10(6):397–406.

Bu X, Nguyen HV, Nguyen QH, Chen CP, Chou TP. Traditional or fast-foods, which one do you choose?

The roles of traditional value, modern value, and promotion focus. Sustainability 2020;12(18):7549.

Li L, Sun N, Zhang L, Xu G, Liu J, Hu J, et al. Fast food consumption among young adolescents aged 12–15 years in

low-and middle-income countries. Glob Health Action 2020;13(1):1–9.

Tomašević D, Radnović B, Gašević D. Factors affecting the frequency of consumption of domestic and foreign

fast-food brands. Food Feed Res 2020;47(2):87–97.

Rabotata S, Malatji TL. Factors influencing fast-food consumption: a case study of University of Venda Students,

Limpopo, South Africa. Technium Social Sciences Journal 2021;26(1):888–99.

Rajini S, Kannan K, Selvi T. Factors influencing the consumption of fast-food among young adults.

J Pharm Res Int 2021;33(44A):430–40.

Malushte R, Jadhav S, Hedaoo R. Do fast food milieus influence the eating behaviors and bmi of adolescents?

Food Sci Technol 2022;10(1):1–8.

Mahbobi Rad M, Pour Pasandi A, Khajani N, Sadeghi R. Knowledge, attitude, and practice of Rafsanjan

University of Medical Sciences Students Concerning Fast Food. Health Dev J 2022;11(3):156–61.

Bagnato M, Roy-Gagnon MH, Vanderlee L, White C, Hammond D, Potvin Kent M. The impact of fast-food

marketing on brand preferences and fast-food intake of youth aged 10–17 across six countries. BMC Public Health

;23(1):1436.

Manaharan T, Neru N, Kannan T, Kuppal A, Suntaram HS, Jeyaseelan R. Prevalence of fast food consumption

among medical students in University of Cyberjaya. Int J Multidiscip Res 2023;5(1):1–20.

Agestika L, Maulani N. Fast food consumption, physical activity, and overweight prevalence during Covid-19

Pandemic. J Ilm Kesehatan (JIKA) 2022;4(1):174–81.

Published

2026-08-14

How to Cite

จันทาขุ่ม น., เสนไสย ร., สุวรรณพันธุ์ ก., วิชาฤทธิ์ เ., & ศุภอุดมผล ธ. (2026). Factors Related to Thai Fast-Food Consumption among the Healthcare Undergraduate Students in Thailand. Journal of Health Science of Thailand, 35(4), 632–642. Retrieved from https://thaidj.org/index.php/JHS/article/view/16649

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Section

Original Article (นิพนธ์ต้นฉบับ)

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