PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2022 | 73 | 4 |

Tytuł artykułu

Factors influencing alcohol consumption among university students in Southern Thailand

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Background. Underage drinkers are the primary cause of death and illness worldwide. Initiation of drinking at younger ages and levels of drinking during young adulthood may also shape future public health by influencing alcohol consumption. From this situation, it is necessary to study various factors to provide sufficient information to reduce adolescent alcohol consumption. Objective. This study aimed to examine the prevalence and factors that influenced alcohol consumption of first-year students in a university network in Southern Thailand. Material and methods. A total participant 685 of 1,100 first-year students from 12 universities in southern Thailand were randomized and recruited using eligible criteria. The instrument was an online questionnaire based on the preceding model that consisted of 9 parts with 93 items. For descriptive analysis, percentages were used to describe the characteristics and alcohol consumption behaviours of participants. In addition, logistic regressions were used to determine the factors influencing. Results. The results showed 62.3% of participants responded to the online questionnaire. During the past six months, 36% reported consuming alcohol. Males reported drinking more (45.3%) than females. The most popular drink was beer (57.7%). There were 8.16 standard drinks, (82.3%) consumed at night, (70.2%) drank at their place, and consumed with friends (83.6%). The results of multiple logistic regression showed significant factors influencing drinking alcohol. The lower attitude was 2.56 times more likely to consume alcohol than a high level (AOR: 2.56, 95%CI: 1.53-4.28). Reversely, the higher marketing perception was more likely to consume alcohol than a low level (AOR: 5.35, 95%CI: 1.94-14.58). In addition, students with mother drinker, lover drinker, and close friend drinker were more likely to consume alcohol (AOR: 2.35, 95%CI: 1.07-5.16), (AOR: 3.60, 95%CI: 1.99-6.50), and (AOR: 5.29, 95%CI: 3.31-8.45) respectively. Conclusion. In conclusion, attitude, marketing factors, and social factors were associated with alcohol consumption among Thai university students that were revealed as positive predictors regarding binge drinking. The study shows how healthcare providers may reduce binge drinking by designing effective prevention programs.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

73

Numer

4

Opis fizyczny

p.435-443,fig.,ref.

Twórcy

autor
  • The Excellence Center for DACH, Department of Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand
  • The Excellence Center for DACH, Department of Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand
autor
  • The Excellence Center for DACH, Department of Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand

Bibliografia

  • 1. World Health Organization: Global status report on alcohol and health 2018. World Health Organization 2019.
  • 2. World Health Organization: Alcohol Consumption and Sustainable Development. Copenhagen, WHO Regional Office for Europe 2020.
  • 3. Watson RJ, Fish JN, Poteat VP, Rathus T.: Sexual and Gender Minority Youth Alcohol Use: Within-Group Differences in Associations with Internalized Stigma and Victimization. J Youth Adolesc 2019;48(12):2403-17.
  • 4. Ibitoye M, Kaaya S, Parker R, Likindikoki S, Ngongi L, Sommer M.: The influence of alcohol outlet density and advertising on youth drinking in urban Tanzania. Health Place 2019;58:102141.
  • 5. Saengow U.: Effects of alcohol outlet density on drinking behavior and consequences. J Health Sci Res 2018;12(2):129-39.
  • 6. Krejcie RV, Morgan DW.: Determining sample size for research activities. Educ Psychol Meas 1970;30(3):607-10.
  • 7. Aboagye RG, Kugbey N, Ahinkorah BO, Seidu AA, Cadri A, Akonor PY.: Alcohol consumption among tertiary students in the Hohoe municipality, Ghana: analysis of prevalence, effects, and associated factors from a crosssectional study. BMC Psychiatry 2021;21(1):431. doi:10.1186/s12888-021-03447-0.
  • 8. Chen CM, Yoon Y-H.: Surveillance Report# 116: Trends in Underage Drinking in the United States, 1991–2019. Bethesda, MD:NIAAA 2021.
  • 9. Ajayi AI, Owolabi EO, Olajire OO.: Alcohol use among Nigerian university students: prevalence, correlates and frequency of use. BMC public health 2019;19(1):752-.
  • 10. Assanangkornchai S, Saingam D, Jitpiboon W, Geater AF.: Comparison of drinking prevalence among Thai youth before and after implementation of the Alcoholic Beverage Control Act. Am J Drug Alcohol Abuse 2020;46(3):325-32.
  • 11. Im PK, Millwood IY, Guo Y, Du H, Chen Y, Bian Z, et al.: Patterns and trends of alcohol consumption in rural and urban areas of China: findings from the China Kadoorie Biobank. BMC Public Health 2019;19(1):217.
  • 12. Wang Q, Zhang Y, Wu C.: Alcohol consumption and associated factors among middle-aged and older adults: results from China Health and Retirement Longitudinal Study. BMC Public Health 2022;22(1):322.
  • 13. Jimborean MA, Salanță LC, Trusek A, Pop CR, Tofană M, Mudura E, Coldea TE, Farcaș A, Ilieș M, Pașca S, Uifălean A.: Drinking Behavior, Taste Preferences and Special Beer Perception among Romanian University Students: A Qualitative Assessment Research. Int J Environ Res Public Health. 2021;18(6):3307. doi: 10.3390/ijerph18063307.
  • 14. Salanță LC, Coldea TE, Ignat MV, Pop CR, Tofană M, Mudura E, et al.: Non-Alcoholic and Craft Beer Production and Challenges. Processes 2020;8(11).
  • 15. Messina MP, Angelo A, Ciccarelli R, Pisciotta F, Tramonte L, Fiore M, et al.: Knowledge and Practice towards Alcohol Consumption in a Sample of University Students. Int J Environ Res Public Health 2021;18(18):9528. doi: 10.3390/ijerph18189528.
  • 16. Global Health Observatory Data Repository. Available ht tp://apps.who.int /gho/data/view.main.56470 (Accessed 03.03.2022).
  • 17. Breif Intervention for Hazardous and Harmful Drinking. Available http://apps.who.int/iris/bitstream/handle/10665/67210/WHO_MSD_MSB_01.6b.pdf?sequence=1 (Accessed 03.03.2022).
  • 18. Adere A, Yimer NB, Kumsa H, Liben ML.: Determinants of psychoactive substances use among Woldia University students in Northeastern Ethiopia. BMC Res Notes 2017;10(1):441. doi: 10.1186/s13104-017-2763-x.
  • 19. Reis AM, Quintal C, Lourenço Ó.: Killing two birds with one stone? Association between tobacco and alcohol consumption. Public Health 2018;154:136-43.
  • 20. DiBello AM, Hatch MR, Miller MB, Mastroleo NR, Carey KB.: Attitude toward heavy drinking as a key longitudinal predictor of alcohol consumption and problems. Alcohol Clin Exp Res 2022. https://doi.org/10.1111/acer.14800
  • 21. Collins C, Finegan P, O’Riordan M.: An online survey of Irish general practitioner experience of and attitude toward managing problem alcohol use. BMC Fam Pract 2018;19(1):200.
  • 22. Roberson AA, McKinney C, Walker C, Coleman A.: Peer, social media, and alcohol marketing influences on college student drinking. J Am Coll Health 2018;66(5):369-79. doi: 10.1080/07448481.2018.1431903.
  • 23. Courtney AL, Casey BJ, Rapuano KM.: A Neurobiological Model of Alcohol Marketing Effects on Underage Drinking. J Stud Alcohol Drugs Suppl 2020;19:68-80.
  • 24. Bandura A.: Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ 1986:23-28.
  • 25. Bryant, J., & Zillmann, D.: Media effects: Advances in theory and research, 2nd ed. Lawrence Erlbaum Associates Publishers 2002. https://doi.org/10.4324/9781410602428.
  • 26. Monteiro MG, Babor TF, Jernigan D, Brookes C.: Alcohol marketing regulation: from research to public policy. Addiction 2017;112 Suppl 1:3-6.
  • 27. Hongthong D, Areesantichai C.: Factors predictive of alcohol consumption among senior high school students in Phayao province, Thailand. J Subst Use 2014;19(5):368-72.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-6f3907cc-8a4d-41c5-abee-0762daf85121
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.