Intention to Consume Alcohol among Dayak Adolescents in Sarawak: An Application of Theory of Planned Behavior

Mohd Faiz Gahamat, Md Mizanur Rahman, Razitasham Safii, Muhammad Siddiq Daud, Rudy Ngau Ajeng


Objectives: To explore the application of a model that integrates various factors that influence Dayak adolescents' intentions to consume alcohol in Sarawak, Malaysia.

Methods: A cross-sectional quantitative study was conducted from September 2019 to February 2022. Through multistage stratified cluster sampling, 12 districts were selected from 12 divisions. Respondents were selected randomly and were interviewed using a questionnaire.

Results: Structural equation modeling was used to test the Theory of Planned Behavior (TPB) and explore the relationship between various variables and respondents' intention to consume alcohol. The findings suggest that attitude (β=.22, p<.001), subjective norm (β = .33, p < .001), and perceived behavior control (β =−.41, p<.001) influenced the intention to consume alcohol. In contrast, alcohol consumption was associated with intention (β=.15, p < .001), attitude (β=.20, p<.001), and perceived behavior control (β=−.32, p<.001).

Conclusion: The findings demonstrated that the TPB model can be used to explore various variables that influence the intention to consume alcohol among Dayak adolescents, with attitude, subjective norm, and perceived behavior control as the variable influencing the intention. This highlights the need for paying attention to those variables when developing age-appropriate strategies that address various social levels to curb alcohol consumption. Given the concerning rates of risky drinking and dependency, school-based health initiatives and focused screening for Dayak adolescents are crucial.


Adolescents; Alcohol; Dayak; Theory of Planned Behavior

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  1. Zhou Y, Zheng J, Li S, Zhou T, Zhang P, Li HB. Alcoholic beverage consumption and chronic diseases. Int J Environ Res Public Health. 2016;13(6):522.
  2. Squeglia LM, Jacobus J, Tapert SF. The effect of alcohol use on human adolescent brain structures and systems. Handb Clin Neurol. 2014;125:501–10.
  3. Soundararajan S, Narayanan G, Agrawal A, Prabhakaran D, Murthy P. Relation between age at first alcohol drink & adult life drinking patterns in alcohol-dependent patients. Indian J Med Res. 2017;146(5):606–11. IJMR_1363_15
  4. Center for Disease Control and Prevention. Alcohol and Public Health. 2019. Available from:
  5. Wackernah RC, Minnick MJ, Clapp P. Alcohol use disorder: pathophysiology, effects, and pharmacologic options for treatment. Subst Abuse Rehabil. 2014;5:1–12.
  6. Ahmad NA, Mohamad Kasim N, Mahmud NA, Mohd Yusof Y, Othman S, et al. Prevalence and determinants of disability among adults in Malaysia: results from the National Health and Morbidity Survey (NHMS) 2015. BMC Public Health. 2017;17(1):756.
  7. NoorAni A, Rajini S, Balkish MN, Noraida MK, SMaria A, Fadhli MY, et al. Morbidity patterns and healthcare utilisation among older people in Malaysia: 1996-2015. Public Health. 2018;163:105–12.
  8. Institute of Public Health. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. Kuala Lumpur: Institute of Public Health; 2015. Available from: Accessed MOH/S/IKU/52.15(RR).
  9. Cooke R, Dahdah M, Norman P, French DP. How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychol Rev. 2016;10(2):148–67.
  10. Cutrín O, Mac Fadden I, Ayers SL, Kulis SS, Gómez-Fraguela JA, Marsiglia FF. Applicability of the theory of planned behavior for predicting alcohol use in Spanish early adolescents. Int J Environ Res Public Health. 2020;17(22):8539.
  11. Davies EL, Paltoglou AE, Foxcroft DR. Implicit alcohol attitudes predict drinking behaviour over and above intentions and willingness in young adults but willingness is more important in adolescents: Implications for the Prototype Willingness Model. Br J Health Psychol. 2017;22(2):238–53. doi:10.1111/bjhp.12225
  12. Zhao X, Kelly AB, Rowland B, Williams J, Kremer P, Mohebbi M, Carter R, et al. Intention to drink and alcohol use before 18 years among Australian adolescents: An extended Theory of Planned Behavior. Addict Behav. 2020;111:106545.
  13. Chung LM, Fong SS. Predicting actual weight loss: A review of the determinants according to the theory of planned behaviour. Health Psychology Open. 2015;2(1):2055102914567972.
  14. Jiang H, Xiang X, Hao W, Room R, Zhang X, Wang X. Measuring and preventing alcohol use and related harm among young people in Asian countries: a thematic review. Glob Health Res Policy. 2018;3:14.
  15. Carvajal F, Lerma-Cabrera JM. Alcohol consumption among adolescents - implications for public health. In: Claborn D, ed. Topics in Public Health; 2015. p. 51–76.
  16. Hong JW, Noh JH, Kim DJ. The prevalence of and factors associated with high-risk alcohol consumption in Korean adults: The 2009-2011 Korea National Health and Nutrition Examination Survey. PLoS One. 2017;12(4):e0175299.
  17. Institute of Public Health. National Health and Morbidity Survey (NHMS) 2017: Key Findings from the Adolescent Health and Nutrition Surveys. Kuala Lumpur: Institute of Public Health,; 2018. Available from: Accessed MOH/S/IKU/108.18(BOT).
  18. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT: The Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Care. Geneva: World Health Organization; 2001. Available from:
  19. Collins SE, Witkiewitz K, Larimer ME. The theory of planned behavior as a predictor of growth in risky college drinking. J Stud Alcohol Drugs. 2011;72(2):322–32. doi:10.15288/jsad.2011.72.322
  20. Sarstedt M, Ringle C, Hair J. Partial least squares structural equation modeling. Handbook of market research. New York: Springer; 2017.
  21. Hair J, Hult GTM, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM). New York: SAGE Publications; 2016.
  22. Dijkstra TK, Henseler J. Consistent partial least squares path modeling. MIS Quarterly. 2015;39(2):297–316. 10.25300/MISQ/2015/39.2.02
  23. Rodzlan Hasani WS, Saminathan TA, Ab Majid NL, Miaw Yn JL, Mat Rifin H, Abd Hamid HA, et al. Polysubstance use among adolescents in Malaysia: Findings from the National Health and Morbidity Survey 2017. PLoS One. 2021;16(1):e0245593.
  24. Sudhinaraset M, Wigglesworth C, Takeuchi DT. Social and cultural contexts of alcohol use: influences in a social-ecological framework. alcohol research. Current Rev. 2016;38(1):35–45.
  25. Pedersen ER, Osilla KC, Miles JN, Tucker JS, Ewing BA, Shih RA, et al. The role of perceived injunctive alcohol norms in adolescent drinking behavior. Addict Behav. 2017;67:1–7. doi:10.1016/j.addbeh.2016.11.022
  26. Hamilton HR, Armeli S, Tennen H. To drink or not to drink: When drinking intentions predict alcohol consumption and consequences. Br J Health Psychol. May 2022;27(2):516–33.


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