Journal of Korean Academy of Nursing (대한간호학회지)

Korean Society of Nursing Science (한국간호과학회)
권호 표지
DOI QR코드

DOI QR Code

Patterns of Drinking Behaviors and Predictors of Class Membership among Adolescents in the Republic of Korea: A Latent Class Analysis

한국 청소년의 음주행동 잠재계층 유형 및 예측요인: 잠재계층분석 방법의 적용

  • Lee, Haein (College of Nursing.Research Institute of Nursing Science, Daegu Catholic University) ;
  • Park, Sunhee (College of Nursing Science.East-West Nursing Research Institute, Kyung Hee University)
  • 이해인 (대구가톨릭대학교 간호대학.간호과학연구소) ;
  • 박선희 (경희대학교 간호과학대학.동서간호학연구소)
  • Received : 2019.03.27
  • Accepted : 2019.09.19
  • Published : 2019.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: Despite the high drinking rates and the complexity of drinking behaviors in adolescents, insufficient attention has been paid to their drinking patterns. Therefore, we aimed to identify patterns of adolescent drinking behaviors and factors predicting the distinct subgroups of adolescent drinking behaviors. Methods: We analyzed nationally representative secondary data obtained in 2017. Our final sample included 24,417 Korean adolescents who had consumed at least one glass of alcohol in their lifetime. To investigate patterns of drinking behaviors, we conducted a latent class analysis using nine alcohol-related characteristics, including alcohol consumption levels, solitary drinking, timing of drinking initiation, and negative consequences of drinking. Furthermore, we investigated differences in demographics, mental health status, and characteristics of substance use across the latent classes identified in our study. To do so, we used the PROC LCA with COVARIATES statement in the SAS software. Results: We identified three latent classes of drinking behaviors: current non-drinkers (CND), binge drinkers (BD), and problem drinkers (PD). Compared to the CND class, both BD and PD classes were strongly associated with higher academic year, lower academic performance, higher levels of stress, suicidal ideation, lifetime conventional or electronic cigarette use, and lifetime use of other drugs. Conclusion: Health professionals should develop and implement intervention strategies targeting individual subgroups of drinking behaviors to obtain better outcomes. In particular, health professionals should consider different characteristics across subgroups of adolescent drinking behaviors when developing the interventions, such as poor mental health status and other substance use among binge and problem drinkers.

Keywords

References

  1. Donaldson L. Guidance on the consumption of alcohol by children and young people [Internet]. London: Department of Health; c2009 [cited 2019 Jan 15]. Available from: http://www.ias.org.uk/uploads/pdf/News%20stories/doh-report-171209.pdf.
  2. Korea Centers for Disease Control and Prevention. The statistics on the 13th Korea youth risk behavior web-based survey in 2017. Cheongju: Ministry of Health and Welfare; 2017 Dec. Report No.: TRKO201900000158.
  3. Hibell B, Guttormsson U, Ahlström S, Balakireva O, Bjarnason T, Kokkevi A, et al. The 2011 ESPAD report: Substance use among students in 36 European countries [Internet]. Stockholm: The Swedish Council for Information on Alcohol and Other Drugs; c2012 [cited 2019 Jan 22]. Available from: https://www.drugsandalcohol.ie/17644/1/The_2011_ESPAD_Report_FULL_2012-05-30.pdf.
  4. Center for Behavioral Health Statistics and Quality. Behavioral health trends in the United States: Results from the 2014 national survey on drug use and health. Rockville (MD): Substance Abuse and Mental Health Services Administration; 2015 Sep. Report No.: SMA 15-4927.
  5. Khan MR, Cleland CM, Scheidell JD, Berger AT. Gender and racial/ethnic differences in patterns of adolescent alcohol use and associations with adolescent and adult illicit drug use. The American Journal of Drug and Alcohol Abuse. 2014;40(3):213-224. https://doi.org/10.3109/00952990.2014.892950
  6. Cho HC, Hwang SD. The effectiveness of school-based alcohol prevention programs for adolescents in Korea: A meta-analysis. Korean Journal of Youth Studies. 2016;23(3):523-547. https://doi.org/10.21509/KJYS.2016.03.23.3.523
  7. Chung S, Kim JS. A meta-analysis of factors related to adolescent problem drinking. Korean Journal of Health Education and Promotion. 2014;31(1):71-83. https://doi.org/10.14367/kjhep.2014.31.1.71
  8. Marshall EJ. Adolescent alcohol use: Risks and consequences. Alcohol and Alcoholism. 2014;49(2):160-164. https://doi.org/10.1093/alcalc/agt180
  9. Cho HC. A meta-analysis on the factors related to adolescents' alcohol use: From 1990 to 2012. Korean Journal of Youth Studies. 2014;21(6):191-221.
  10. Jackson N, Denny S, Sheridan J, Fleming T, Clark T, Teevale T, et al. Predictors of drinking patterns in adolescence: A latent class analysis. Drug and Alcohol Dependence. 2014;135:133-139. https://doi.org/10.1016/j.drugalcdep.2013.11.021
  11. Lanza ST, Rhoades BL. Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science. 2013;14(2):157-168. https://doi.org/10.1007/s11121-011-0201-1
  12. Laursen B, Hoff E. Person-centered and variable-centered approaches to longitudinal data. Merrill-Palmer Quarterly. 2006;52(3):377-389. https://doi.org/10.1353/mpq.2006.0029
  13. Reboussin BA, Song EY, Shrestha A, Lohman KK, Wolfson M. A latent class analysis of underage problem drinking: Evidence from a community sample of 16-20 year olds. Drug and Alcohol Dependence. 2006;83(3):199-209. https://doi.org/10.1016/j.drugalcdep.2005.11.013
  14. Donovan JE, Chung T. Progressive elaboration and cross-validation of a latent class typology of adolescent alcohol involvement in a national sample. Journal of Studies on Alcohol and Drugs. 2015;76(3):419-429. https://doi.org/10.15288/jsad.2015.76.419
  15. Wells JE, Horwood LJ, Fergusson DM. Drinking patterns in mid‐adolescence and psychosocial outcomes in late adolescence and early adulthood. Addiction. 2004;99(12):1529-1541. https://doi.org/10.1111/j.1360-0443.2004.00918.x
  16. Dauber S, Hogue A, Paulson JF, Leiferman JA. Typologies of alcohol use in White and African American adolescent girls. Substance Use & Misuse. 2009;44(8):1121-1141. https://doi.org/10.1080/10826080802494727
  17. Dauber SE, Paulson JF, Leiferman JA. Race-specific transition patterns among alcohol use classes in adolescent girls. Journal of Adolescence. 2011;34(3):407-420. https://doi.org/10.1016/j.adolescence.2010.07.001
  18. Sudhinaraset M, Wigglesworth C, Takeuchi DT. Social and cultural contexts of alcohol use: Influences in a social-ecological framework. Alcohol Research: Current Reviews. 2016;38(1):35-45.
  19. Shin HI, Kim J. Impact of social relationships on self-related information processing and emotional experiences. Korean Journal of Culture and Social Issues. 2018;24(1):29-47. https://doi.org/10.20406/kjcs.2018.2.24.1.29
  20. Swahn MH, Simon TR, Hammig BJ, Guerrero JL. Alcohol-consumption behaviors and risk for physical fighting and injuries among adolescent drinkers. Addictive Behaviors. 2004;29(5):959-963. https://doi.org/10.1016/j.addbeh.2004.02.043
  21. Buchmann AF, Schmid B, Blomeyer D, Becker K, Treutlein J, Zimmermann US, et al. Impact of age at first drink on vulnerability to alcohol-related problems: Testing the marker hypothesis in a prospective study of young adults. Journal of Psychiatric Research. 2009;43(15):1205-1212. https://doi.org/10.1016/j.jpsychires.2009.02.006
  22. DeWit DJ, Adlaf EM, Offord DR, Ogborne AC. Age at first alcohol use: A risk factor for the development of alcohol disorders. The American Journal of Psychiatry. 2000;157(5):745-750. https://doi.org/10.1176/appi.ajp.157.5.745
  23. Peleg‐Oren N, Saint‐Jean G, Cardenas GA, Tammara H, Pierre C. Drinking alcohol before age 13 and negative outcomes in late adolescence. Alcoholism: Clinical and Experimental Research. 2009;33(11):1966-1972. https://doi.org/10.1111/j.1530-0277.2009.01035.x
  24. Collins LM, Lanza ST. Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Hoboken (NJ): Wiley; 2010. p. 3-177.
  25. Lanza ST, Collins LM, Lemmon DR, Schafer JL. PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal. 2007;14(4):671-694. https://doi.org/10.1080/10705510701575602
  26. Law EH, Harrington R. A primer on latent class analysis. Value & Outcomes Spotlight. 2016;2(6):18-19.
  27. The Methodology Center, The Pennsylvania State University. LCA and LTA software FAQ [Internet]. University Park (PA): The Pennsylvania State University; c2019 [cited 2019 Aug 1]. Available from: https://www.methodology.psu.edu/ra/lca/software-faq/.
  28. Creswell KG, Chung T, Clark DB, Martin CS. Solitary alcohol use in teens is associated with drinking in response to negative affect and predicts alcohol problems in young adulthood. Clinical Psychological Science. 2014;2(5):602-610. https://doi.org/10.1177/2167702613512795
  29. Tucker JS, Ellickson PL, Collins RL, Klein DJ. Does solitary substance use increase adolescents' risk for poor psychosocial and behavioral outcomes? A 9-year longitudinal study comparing solitary and social users. Psychology of Addictive Behaviors. 2006;20(4):363-372. https://doi.org/10.1037/0893-164X.20.4.363
  30. Grigsby TJ, Forster M, Unger JB, Sussman S. Predictors of alcohol-related negative consequences in adolescents: A systematic review of the literature and implications for future research. Journal of Adolescence. 2016;48:18-35. https://doi.org/10.1016/j.adolescence.2016.01.006
  31. Romer D, Hennessy M. A biosocial-affect model of adolescent sensation seeking: The role of affect evaluation and peer-group influence in adolescent drug use. Prevention Science. 2007;8(2):89-101. https://doi.org/10.1007/s11121-007-0064-7
  32. Hampson SE, Severson HH, Burns WJ, Slovic P, Fisher KJ. Risk perception, personality factors and alcohol use among adolescents. Personality and Individual Differences. 2001;30(1):167-181. https://doi.org/10.1016/S0191-8869(00)00025-8
  33. Hanson MD, Chen E. Socioeconomic status and health behaviors in adolescence: A review of the literature. Journal of Behavioral Medicine. 2007;30(3):263-285. https://doi.org/10.1007/s10865-007-9098-3
  34. Chang DG, Kim HS, Cha SH, Choi HJ, Lee EW. Factors associated with drinking and problem drinking among Korean adolescents: Using the 2013 youth risk behavior web-based survey (KYRBS) data. Health Service Management Review. 2015;9(2):27-36. https://doi.org/10.18014/hsmr.2015.9.2.27
  35. Richter M, Kuntsche E, de Looze M, Pförtner TK. Trends in socioeconomic inequalities in adolescent alcohol use in Germany between 1994 and 2006. International Journal of Public Health. 2013;58(5):777-784. https://doi.org/10.1007/s00038-013-0486-x
  36. Henry KL. Academic achievement and adolescent drug use: An examination of reciprocal effects and correlated growth trajectories. Journal of School Health. 2010;80(1):38-43. https://doi.org/10.1111/j.1746-1561.2009.00455.x
  37. Beman DS. Risk factors leading to adolescent substance abuse. Adolescence. 1995;30(117):201-208.
  38. Bosque-Prous M, Kuipers MAG, Espelt A, Richter M, Rimpelä A, Perelman J, et al. Adolescent alcohol use and parental and adolescent socioeconomic position in six European cities. BMC Public Health. 2017;17(1):646. https://doi.org/10.1186/s12889-017-4635-7
  39. Gould MS, Velting D, Kleinman M, Lucas C, Thomas JG, Chung M. Teenagers' attitudes about coping strategies and help-seeking behavior for suicidality. Journal of the American Academy of Child & Adolescent Psychiatry. 2004;43(9):1124-1133. https://doi.org/10.1097/01.chi.0000132811.06547.31
  40. Windle M. Parental, sibling, and peer influences on adolescent substance use and alcohol problems. Applied Developmental Science. 2000;4(2):98-110. https://doi.org/10.1207/S1532480XADS0402_5
  41. Han MA, Kim KS, Ryu SY, Kang MG, Park J. Associations between smoking and alcohol drinking and suicidal behavior in Korean adolescents: Korea youth behavioral risk factor surveillance, 2006. Preventive Medicine. 2009;49(2-3):248-252. https://doi.org/10.1016/j.ypmed.2009.06.014
  42. Jessor R. Problem behavior theory: A half-century of research on adolescent behavior and development. In: Lerner RM, Petersen AC, Silbereisen RK, Brooks-Gunn J, editors. The Developmental Science of Adolescence: History Through Autobiography. New York: Psychology Press; 2014. p. 239-256.
  43. Funk D, Marinelli PW, Le AD. Biological processes underlying co-use of alcohol and nicotine: Neuronal mechanisms, cross-tolerance, and genetic factors. Alcohol Research & Health. 2006;29(3):186-192.
  44. Best D, Manning V, Gossop M, Gross S, Strang J. Excessive drinking and other problem behaviours among 14-16 year old schoolchildren. Addictive Behaviors. 2006;31(8):1424-1435. https://doi.org/10.1016/j.addbeh.2005.12.002
  45. Botvin GJ, Griffin KW. Life skills training: A competence enhancement approach to tobacco, alcohol, and drug abuse prevention. In: Scheier LM, editor. Handbook of Adolescent Drug Use Prevention: Research, Intervention Strategies, and Practice. Washington, D.C.: American Psychological Association; 2015. p. 177-196.
  46. Room R. Smoking and drinking as complementary behaviours. Biomedicine & Pharmacotherapy. 2004;58(2):111-115. https://doi.org/10.1016/j.biopha.2003.12.003
  47. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology. 2003;88(5):879-903. https://doi.org/10.1037/0021-9010.88.5.879
  48. Collins LM, Murphy SA, Bierman KL. A conceptual framework for adaptive preventive interventions. Prevention Science. 2004;5(3):185-196. https://doi.org/10.1023/b:prev.0000037641.26017.00
  49. Bahr SJ, Hoffmann JP, Yang X. Parental and peer influences on the risk of adolescent drug use. Journal of Primary Prevention. 2005;26(6):529-551. https://doi.org/10.1007/s10935-005-0014-8
  50. Yap MBH, Cheong TWK, Zaravinos‐Tsakos F, Lubman DI, Jorm AF. Modifiable parenting factors associated with adolescent alcohol misuse: A systematic review and meta‐analysis of longitudinal studies. Addiction. 2017;112(7):1142-1162. https://doi.org/10.1111/add.13785