A pre-post study on the appropriateness and effectiveness of a web- and text messaging-based intervention to reduce problem drinking in emerging adults

Journal of Medical Internet Research

Volumn 15, Issue 9, 2013, Pages

  Haug, Severin ^a   Schaub, Michael ^a   Venzin, Vigeli ^b   Meyer, Christian ^c   John, Ulrich ^c   Gmel, Gerhard ^d  

^a Institut fur Sucht und Gesundheitsforschung Zurich   (Switzerland)

^b Cantonal Office for Secondary Education Zurich   (Switzerland)

^c UNIVERSITY MEDICINE GREIFSWALD   (Germany)

^d ADDICTION SWITZERLAND   (Switzerland)

Author keywords

Alcohol intervention; Internet; Problem drinking; Text messaging; Young people

Indexed keywords

ADOLESCENT; BINGE DRINKING; EVALUATION STUDY; FEMALE; HIGH RISK BEHAVIOR; HUMAN; INTERNET; LONGITUDINAL STUDY; MALE; OUTCOME ASSESSMENT; PREVENTION AND CONTROL; PROCEDURES; PSYCHOLOGY; STUDENT; SWITZERLAND; TELEMEDICINE; TEXT MESSAGING; VOCATIONAL EDUCATION; YOUNG ADULT; ALCOHOL INTERVENTION; ARTICLE; METHODOLOGY; PROBLEM DRINKING; PSYCHOLOGICAL ASPECT; YOUNG PEOPLE;

ADOLESCENT; BINGE DRINKING; FEMALE; HUMANS; INTERNET; LONGITUDINAL STUDIES; MALE; OUTCOME ASSESSMENT (HEALTH CARE); RISK-TAKING; STUDENTS; SWITZERLAND; TELEMEDICINE; TEXT MESSAGING; VOCATIONAL EDUCATION; YOUNG ADULT;

ALCOHOL INTERVENTION; INTERNET; PROBLEM DRINKING; TEXT MESSAGING; YOUNG PEOPLE;

EID: 84887640531     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.2755     Document Type: Article

References (34)

1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012 Dec 15;380(9859):2224-2260. [doi:10.1016/S0140-6736(12)61766-8] [Medline: 23245609]
2. Anderson P, Baumberg B. Alcohol in Europe. A Public Health Perspective. A Report for the European Commission. London: Institute for Alcohol Studies; 2006
3. Hingson RW, Edwards EM, Heeren T, Rosenbloom D. Age of drinking onset and injuries, motor vehicle crashes, and physical fights after drinking and when not drinking. Alcohol Clin Exp Res 2009 May;33(5):783-790 [FREE Full text] [doi: 10.1111/j.1530-0277.2009.00896.x] [Medline: 19298330]
4. British Medical Association (BMA). Alcohol: Guidelines on sensible drinking. London, UK: British Medical Association; 1995
5. Gmel G, Kuntsche E, Rehm J. Risky single-occasion drinking: bingeing is not bingeing. Addiction 2011 Jun;106(6):1037-1045. [doi: 10.1111/j.1360-0443. 2010.03167.x] [Medline: 21564366]
6. Kuntsche E, Rehm J, Gmel G. Characteristics of binge drinkers in Europe. Soc Sci Med 2004 Jul;59(1):113-127. [doi:10.1016/j.socscimed.2003.10.009] [Medline: 15087148]
7. Bewick BM, Trusler K, Barkham M, Hill AJ, Cahill J, Mulhern B. The effectiveness of web-based interventions designed to decrease alcohol consumption-a systematic review. Prev Med 2008 Jul;47(1):17-26. [doi: 10.1016/j.ypmed.2008.01.005] [Medline: 18302970]
8. Miller JH, Moyers T. Motivational interviewing in substance abuse: applications for occupational medicine. Occup Med 2002;17(1):51-65, iv. [Medline: 11726336]
9. Perkins HW. The Social Norms Approach to Preventing School and College Age Substance Abuse: A Handbook for Educators, Counselors, and Clinicians. First ed. San Francisco: Jossey-Bass; 2003
10. Carey KB, Scott-Sheldon LA, Carey MP, DeMartini KS. Individual-level interventions to reduce college student drinking: a meta-analytic review. Addict Behav 2007 Nov;32(11):2469-2494 [FREE Full text] [doi: 10.1016/j.addbeh.2007. 05.004] [Medline: 17590277]
11. Riper H, van Straten A, Keuken M, Smit F, Schippers G, Cuijpers P. Curbing problem drinking with personalized-feedback interventions: a meta-analysis. Am J Prev Med 2009 Mar;36(3):247-255. [doi: 10.1016/j.amepre. 2008.10.016] [Medline: 19215850]
12. Moreira MT, Smith LA, Foxcroft D. Social norms interventions to reduce alcohol misuse in university or college students. Cochrane Database Syst Rev 2009(3):CD006748. [doi: 10.1002/14651858.CD006748.pub2] [Medline: 19588402]
13. Petty RE, Cacioppo JT. The elaboration likelihood model of persuasion. In: Berkowitz L ed, Advances in Experimental and Social Psychology. New York: Academic Press; 1986:123-205
14. Cacioppo JT, Petty RE, Feinstein JA, Jarvis W. Dispositional differences in cognitive motivation: The life and time of individuals varying in need for cognition. Psychological Bulletin 1996;119:197-253
15. Carnaghi A, Cadinu M, Castelli L, Kiesner J, Bragantini C. The best way to tell you to use a condom: the interplay between message format and individuals' level of need for cognition. AIDS Care 2007 Mar;19(3):432-440. [doi: 10.1080/09540120600582013] [Medline: 17453580]
16. Haug S, Meyer C, Ulbricht S, Gross B, Rumpf HJ, John U. Need for cognition as a predictor and a moderator of outcome in a tailored letters smoking cessation intervention. Health Psychol 2010 Jul;29(4):367-373. [doi: 10.1037/a0019450] [Medline: 20658823]
17. Vidrine JI, Simmons VN, Brandon TH. Construction of smoking-relevant risk perceptions among college students: the influence of need for cognition and message content. Journal of Applied Social Psychology 2007;37:91-114.
18. Kuntsche E, Robert B. Short message service (SMS) technology in alcohol research-a feasibility study. Alcohol Alcohol 2009;44(4):423-428 [FREE Full text] [doi: 10.1093/alcalc/agp033] [Medline: 19482879]
19. Willemse I, Waller G, Süss D. JAMES: Youth, Activity, Media in Switzerland. Zürich: Zürcher Hochschule für angewandte Wissenschaften; 2010
20. Whittaker R, McRobbie H, Bullen C, Borland R, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev 2012;11:CD006611. [doi: 10.1002/14651858.CD006611.pub3] [Medline: 23152238]
21. Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009 Feb;36(2):165-173. [doi: 10.1016/j.amepre.2008.09.040] [Medline: 19135907]
22. Suffoletto B, Callaway C, Kristan J, Kraemer K, Clark DB. Text-message-based drinking assessments and brief interventions for young adults discharged from the emergency department. Alcohol Clin Exp Res 2012 Mar;36(3):552-560. [doi: 10.1111/j.1530-0277.2011.01646.x] [Medline: 22168137]
23. Agyapong VI, Ahern S, McLoughlin DM, Farren CK. Supportive text messaging for depression and comorbid alcohol use disorder: single-blind randomised trial. J Affect Disord 2012 Dec 10;141(2-3):168-176. [doi: 10.1016/j.jad.2012. 02.040] [Medline: 22464008]
24. Haug S, Schaub MP, Salis Gross C, John U, Meyer C. Predictors of hazardous drinking, tobacco smoking and physical inactivity in vocational school students. BMC Public Health 2013;13:475 [FREE Full text] [doi: 10.1186/1471-2458-13-475] [Medline: 23672294]
25. Bundesamt für Statistik. School attendance of persons aged 16 to 26 in Switzerland. Neuchatel; 2010. URL: http://www.bfs.admin.ch/bfs/portal/de/ index/themen/15/04/00/blank/uebersicht.html [WebCite Cache]
26. Cunningham JA, Humphreys K, Kypri K, van Mierlo T. Formative evaluation and three-month follow-up of an online personalized assessment feedback intervention for problem drinkers. J Med Internet Res 2006;8(2):e5 [FREE Full text] [doi: 10.2196/jmir.8.2.e5] [Medline: 16867968]
27. Doumas DM, McKinley LL, Book P. Evaluation of two Web-based alcohol interventions for mandated college students. J Subst Abuse Treat 2009 Jan;36(1):65-74. [doi: 10.1016/j.jsat.2008.05.009] [Medline: 18657941]
28. Gmel G, Venzin V, Marmet K, Danko G, Labhart F. A quasi-randomized group trial of a brief alcohol intervention on risky single occasion drinking among secondary school students. Int J Public Health 2012 Dec;57(6):935-944. [doi: 10.1007/s00038-012-0419-0] [Medline: 23089675]
29. Suppli CH, Due P, Henriksen PW, Rayce SL, Holstein BE, Rasmussen M. Low vigorous physical activity at ages 15, 19 and 27: childhood socio-economic position modifies the tracking pattern. Eur J Public Health 2013 Feb;23(1):19-24. [doi: 10.1093/eurpub/cks040] [Medline: 22552259]
30. Collins RL, Parks GA, Marlatt GA. Social determinants of alcohol consumption: the effects of social interaction and model status on the self-administration of alcohol. J Consult Clin Psychol 1985 Apr;53(2):189-200. [Medline: 3998247]
31. Hibell B, Guttormsson U, Ahlström S. The 2011 ESPAD report. Substance use among students in 36 European countries. Stockholm, Sweden: The Swedish Council for Information on Alcohol and other Drugs (CAN); 2012.
32. Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics 1988 Dec;44(4):1049-1060. [Medline: 3233245]
33. Hanke M, Ulbricht S, Freyer-Adam J, John U, Meyer C, Haug S. [Tobacco smoking and alcohol consumption among apprentices at vocational schools in West Pomerania, Germany]. Gesundheitswesen 2013 Apr;75(4):216-224. [doi: 10.1055/s-0032-1311621] [Medline: 22864848]
34. Gmel G, Kuendig H, Maffli E, Notari L, Wicki M, Georges A, et al. Addiction Monitoring Switzerland, Data 2011. Bern: Bundesamt für Gesundheit; 2012