期刊论文详细信息
BMC Public Health
Efficacy of a web- and text messaging-based intervention to reduce problem drinking in young people: study protocol of a cluster-randomised controlled trial
Michael P Schaub2  Andreas Filler1  Raquel Paz Castro2  Tobias Kowatsch3  Severin Haug2 
[1] Trier University of Applied Sciences, Environmental Campus Birkenfeld, P.O. Box 1380, Birkenfeld 55761, Germany;Swiss Research Institute for Public Health and Addiction at Zurich University, Konradstrasse 32, Zurich 8031, Switzerland;Health-IS Lab, Institute of Technology Management, University of St. Gallen, Dufourstrasse 40a, St. Gallen 9000, Switzerland
关键词: Students;    Young people;    Social norms;    Text messaging;    Internet;    Web;    Problem drinking;    Alcohol;   
Others  :  1128746
DOI  :  10.1186/1471-2458-14-809
 received in 2014-07-10, accepted in 2014-07-29,  发布年份 2014
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【 摘 要 】

Background

Problem drinking, particularly risky single-occasion drinking is widespread among adolescents and young adults in most Western countries. Mobile phone text messaging allows a proactive and cost-effective delivery of short messages at any time and place and allows the delivery of individualised information at times when young people typically drink alcohol. The main objective of the planned study is to test the efficacy of a combined web- and text messaging-based intervention to reduce problem drinking in young people with heterogeneous educational level.

Methods/Design

A two-arm cluster-randomised controlled trial with one follow-up assessment after 6 months will be conducted to test the efficacy of the intervention in comparison to assessment only. The fully-automated intervention program will provide an online feedback based on the social norms approach as well as individually tailored mobile phone text messages to stimulate (1) positive outcome expectations to drink within low-risk limits, (2) self-efficacy to resist alcohol and (3) planning processes to translate intentions to resist alcohol into action. Program participants will receive up to two weekly text messages over a time period of 3 months. Study participants will be 934 students from approximately 93 upper secondary and vocational schools in Switzerland. Main outcome criterion will be risky single-occasion drinking in the past 30 days preceding the follow-up assessment.

Discussion

This is the first study testing the efficacy of a combined web- and text messaging-based intervention to reduce problem drinking in young people. Given that this intervention approach proves to be effective, it could be easily implemented in various settings, and it could reach large numbers of young people in a cost-effective way.

Trial registration

Current Controlled Trials ISRCTN59944705.

【 授权许可】

   
2014 Haug et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C, 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, 380:2224-2260.
  • [2]Rehm J, Taylor B, Room R: Global burden of disease from alcohol, illicit drugs and tobacco. Drug and Alcohol Review 2006, 25:503-513.
  • [3]Hingson RW, Heeren T, Edwards EM: Age at drinking onset, alcohol dependence, and their relation to drug use and dependence, driving under the influence of drugs, and motor-vehicle crash involvement because of drugs. Journal of Studies on Alcohol and Drugs 2008, 69:192-201.
  • [4]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. Alcoholism: Clinical and Experimental Research 2009, 33:783-790.
  • [5]Anderson P, Baumberg B: Alcohol in Europe: a public health perspective: a report for the European commission. London: Institute for Alcohol Studies; 2006.
  • [6]British Medical Association (BMA): Alcohol: guidelines on sensible drinking. London, UK: British Medical Association; 1995.
  • [7]Gmel G, Kuntsche E, Rehm J: Risky single-occasion drinking: bingeing is not bingeing. Addiction 2011, 106:1037-1045.
  • [8]Kuntsche E, Rehm J, Gmel G: Characteristics of binge drinkers in Europe. Social Science and Medicine 2004, 59(1):113-127.
  • [9]Gmel G, Kuendig H, Notari L, Gmel C, Flury R: Addiction monitoring in Switzerland – data 2012. Lausanne: Addiction Switzerland; 2013.
  • [10]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. Preventive Medicine 2008, 47:17-26.
  • [11]Miller JH, Moyers T: Motivational interviewing in substance abuse: applications for occupational medicine. Occupational Medicine 2002, 17:51-65. iv
  • [12]Perkins HW: The social norms approach to preventing school and college age substance abuse: a handbook for educators, counselors, and clinicians, first edn. San Francisco: Jossey-Bass; 2003.
  • [13]Carey KB, Scott-Sheldon LA, Carey MP, DeMartini KS: Individual-level interventions to reduce college student drinking: a meta-analytic review. Addictive Behaviors 2007, 32(11):2469-2494.
  • [14]Haug S, Ulbricht S, Hanke M, Meyer C, John U: Overestimation of drinking norms and its association with alcohol consumption in apprentices. Alcohol and Alcoholism 2011, 46:204-209.
  • [15]Moreira MT, Smith LA, Foxcroft D: Social norms interventions to reduce alcohol misuse in university or college students. Cochrane Database of Systematic Reviews 2009, 11:CD006748.
  • [16]Kuntsche E, Robert B: Short message service (SMS) technology in alcohol research–a feasibility study. Alcohol and Alcoholism 2009, 44:423-428.
  • [17]Willemse I, Waller G, Süss D, Genner S, Huber A-L: JAMES: Jugend, Aktivitäten, Medien - Erhebung Schweiz: Zürich: Zürcher Hochschule für angewandte Wissenschaften. 2012.
  • [18]Whittaker R, McRobbie H, Bullen C, Borland R, Rodgers A, Gu Y: Mobile phone-based interventions for smoking cessation. Cochrane Database of Systematic Reviews 2012, 11:CD006611.
  • [19]Fjeldsoe BS, Marshall AL, Miller YD: Behavior change interventions delivered by mobile telephone short-message service. American Journal of Preventive Medicine 2009, 36:165-173.
  • [20]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. Alcoholism: Clinical and Experimental Research 2012, 36:552-560.
  • [21]Agyapong VI, Ahern S, McLoughlin DM, Farren CK: Supportive text messaging for depression and comorbid alcohol use disorder: single-blind randomised trial. Journal of Affective Disorders 2012, 141(2–3):168-176.
  • [22]Haug S, Schaub MP, Venzin V, Meyer C, John U, Gmel G: 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 2013, 15:e196.
  • [23]Edwards P, Cooper R, Roberts I, Frost C: Meta-analysis of randomised trials of monetary incentives and response to mailed questionnaires. Journal of Epidemiology and Community Health 2005, 59:987-999.
  • [24]Pocock SJ: Clinical trials: a practical approach. Chichester: Wiley & Sons; 1994.
  • [25]Faul F, Erdfelder E, Lang AG, Buchner A: G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods 2007, 39:175-191.
  • [26]Hopcroft JE, Motwani R, Ullman JD: Introduction to automata theory, languages, and computation. London: Pearson Education; 2013.
  • [27]Gamma E, Helm R, Johnson RE, Vlissides J: Design patterns: elements of reusable object-oriented software. Boston: Addison-Wesley; 1994.
  • [28]Haug S, Sannemann J, Meyer C, John U: Reduktion des Alkoholkonsums und Förderung der Rauchabstinenz bei Jugendlichen und jungen Erwachsenen mittels Internet und Mobiltelefon: ein Literaturüberblick. [internet and mobile phone interventions to decrease alcohol consumption and to support smoking cessation in adolescents: a review]. Gesundheitswesen 2012, 74:160-177.
  • [29]McAlister AL, Perry CL, Parcel GS: How individuals, environments, and health behaviour interact: social cognitive theory. In Health behavior and health education: theory, research, and practice. Edited by Glanz K, Rimer BK, Viswanath K. San Francisco: Jossey-Bass; 2008.
  • [30]Schwarzer R: Modeling health behavior change: how to predict and modify the adoption and maintenance of health behaviors. Applied Psychology: An International Review 2008, 57(1):1-29.
  • [31]Gollwitzer PM, Sheeran P: Implementation intentions and goal achievement: a meta-analysis of effects and processes. Advances in Experimental Social Psychology 2006, 38:69-119.
  • [32]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. Journal of Medical Internet Research 2006, 8:e5.
  • [33]Doumas DM, McKinley LL, Book P: Evaluation of two web-based alcohol interventions for mandated college students. Journal of Substance Abuse Treatment 2009, 36(1):65-74.
  • [34]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. International Journal of Public Health 2012, 57:935-944.
  • [35]Babor TF, Higgins-Biddle JC: Brief intervention for hazardous and harmful drinking: a manual for use in primary care. 2001. http://whqlibdoc.who.int/hq/2001/who_msd_msb_01.6b.pdf webcite
  • [36]Young RM, Hasking PA, Oei TP, Loveday W: Validation of the drinking refusal self-efficacy questionnaire - revised in an adolescent sample (DRSEQ-RA). Addictive Behaviors 2007, 32:862-868.
  • [37]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. Journal of Consulting and Clinical Psychology 1985, 53:189-200.
  • [38]Yang CT, Fung WK, Tam TW: Alcohol study on blood concentration estimation: reliability and applicability of Widmark formula on Chinese male population. Legal Medicine 2009, 11:163-167.
  • [39]Haug S, Schaub M, 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.
  • [40]Bradley KA, DeBenedetti AF, Volk RJ, Williams EC, Frank D, Kivlahan DR: AUDIT-C as a brief screen for alcohol misuse in primary care. Alcoholism: Clinical and Experimental Research 2007, 31:1208-1217.
  • [41]Zeger SL, Liang KY, Albert PS: Models for longitudinal data: a generalized estimating equation approach. Biometrics 1988, 44(4):1049-1060.
  • [42]Davies CA, Spence JC, Vandelanotte C, Caperchione CM, Mummery WK: Meta-analysis of internet-delivered interventions to increase physical activity levels. The International Journal of Behavioral Nutrition and Physical Activity 2012, 9:52.
  • [43]Rooke S, Thorsteinsson E, Karpin A, Copeland J, Allsop D: Computer-delivered interventions for alcohol and tobacco use: a meta-analysis. Addiction 2010, 105:1381-1390.
  • [44]Kodama S, Saito K, Tanaka S, Horikawa C, Fujiwara K, Hirasawa R, Yachi Y, Iida KT, Shimano H, Ohashi Y, Yamada N, Sone H: Effect of web-based lifestyle modification on weight control: a meta-analysis. International Journal of Obesity 2012, 36:675-685.
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