Effects of a Web-based computer-tailored game to reduce binge drinking among Dutch adolescents: A cluster randomized controlled trial

Journal of Medical Internet Research

Volumn 18, Issue 2, 2016, Pages

  Jander, Astrid ^a   Crutzen, Rik ^a   Mercken, Liesbeth ^a   Candel, Math ^a   De Vries, Hein ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Adolescents; Alcohol drinking; Binge drinking; Cluster randomized controlled trial; Computer tailoring; Serious games

Indexed keywords

ADOLESCENT; ADULT; BINGE DRINKING; CHILD; CLUSTER ANALYSIS; CONTROLLED STUDY; DRINKING BEHAVIOR; FEMALE; HUMAN; INTERNET; MALE; PREVENTION AND CONTROL; PSYCHOLOGY; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL; SWEDEN; VIDEO GAME; YOUNG ADULT;

ADOLESCENT; ADULT; ALCOHOL DRINKING; BINGE DRINKING; CHILD; CLUSTER ANALYSIS; FEMALE; HUMANS; INTERNET; MALE; SURVEYS AND QUESTIONNAIRES; SWEDEN; VIDEO GAMES; YOUNG ADULT;

EID: 84962076659     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.4708     Document Type: Article

References (71)

1. Best D, Manning V, Gossop M, Gross S, Strang J. Excessive drinking and other problem behaviours among 14-16 year old schoolchildren. Addict Behav 2006 Aug;31(8):1424-1435. [doi: 10.1016/j.addbeh.2005.12.002] [Medline: 16442742]
2. Anderson P, Baumberg B. Alcohol in Europe: A Public Health Perspective. London: Institute of Alcohol Studies; 2006.
3. Swahn MH, Simon TR, Hammig BJ, Guerrero JL. Alcohol-consumption behaviors and risk for physical fighting and injuries among adolescent drinkers. Addict Behav 2004 Jul;29(5):959-963. [doi: 10.1016/j.addbeh.2004.02.043] [Medline: 15219342]
4. Miller JW, Naimi TS, Brewer RD, Jones SE. Binge drinking and associated health risk behaviors among high school students. Pediatrics 2007 Jan;119(1):76-85 [FREE Full text] [doi: 10.1542/peds.2006-1517] [Medline: 17200273]
5. Stolle M, Sack P, Thomasius R. Binge drinking in childhood and adolescence: epidemiology, consequences, and interventions. Dtsch Arztebl Int 2009 May;106(19):323-328 [FREE Full text] [doi: 10.3238/arztebl.2009.0323] [Medline: 19547732]
6. Testa M, Livingston JA. Alcohol consumption and women's vulnerability to sexual victimization: can reducing women's drinking prevent rape? Subst Use Misuse 2009;44(9-10):1349-1376 [FREE Full text] [doi: 10.1080/10826080902961468] [Medline: 19938922]
7. Bava S, Tapert SF. Adolescent brain development and the risk for alcohol and other drug problems. Neuropsychol Rev 2010 Dec;20(4):398-413 [FREE Full text] [doi: 10.1007/s11065-010-9146-6] [Medline: 20953990]
8. Clark DB, Thatcher DL, Tapert SF. Alcohol, psychological dysregulation, and adolescent brain development. Alcohol Clin Exp Res 2008 Mar;32(3):375-385. [doi: 10.1111/j.1530-0277.2007.00601.x] [Medline: 18241320]
9. Zeigler DW, Wang CC, Yoast RA, Dickinson BD, McCaffree MA, Robinowitz CB, Council on Scientific Affairs, American Medical Association. The neurocognitive effects of alcohol on adolescents and college students. Prev Med 2005 Jan;40(1):23-32. [doi: 10.1016/j.ypmed.2004.04.044] [Medline: 15530577]
10. Verdurmen J, Monshouwer K, Dorsselaer S, Lokman S, Vermeulen-Smit E, Vollebergh W. Jeugd en riskant gedrag. Utrecht: Trimbos-instituut; 2011.
11. Hibell B, Guttormsson U, Ahlstrom T, Balakireva O, Bjarnason T, Kokkevi K. The 2007 ESPAD Report: Substance Use Amongst Students in 35 European Countries. Stockholm: The Swedish Council for Information on Alcohol and Other Drugs; 2009.
12. De Looze LM, Van Dorsselaer DS, De Roos RS, Verdurmen J, Stevens G, Gommans R. HBSC 2013 Gezondheid, welzijn en opvoeding van jongeren in Nederland. Utrecht, the Netherlands: Universiteit Utrecht; 2014.
13. Schulz DN, Candel MJ, Kremers SP, Reinwand DA, Jander A, de VH. Effects of a Web-based tailored intervention to reduce alcohol consumption in adults: randomized controlled trial. J Med Internet Res 2013;15(9):e206 [FREE Full text] [doi: 10.2196/jmir.2568] [Medline: 24045005]
14. Centraal Bureau voor de Statistiek. 2013. ICT gebruik van personen naar persoonskenmerken URL: http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=71098ned&D1=33-133&D2=0-2,14-16&D3=a&HDR=G1&STB=T,G2&VW=T [WebCite Cache ID 6Tpswk3rs]
15. de Vries H, Brug J. Computer-tailored interventions motivating people to adopt health promoting behaviours: introduction to a new approach. Patient Educ Couns 1999 Feb;36(2):99-105. [Medline: 10223015]
16. Kohl LF, Crutzen R, de Vries NK. Online prevention aimed at lifestyle behaviors: a systematic review of reviews. J Med Internet Res 2013;15(7):e146 [FREE Full text] [doi: 10.2196/jmir.2665] [Medline: 23859884]
17. Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med 2010;51(3-4):214-221 [FREE Full text] [doi: 10.1016/j.ypmed.2010.06.004] [Medline: 20558196]
18. Lustria ML, Noar SM, Cortese J, Van Stee SK, Glueckauf RL, Lee J. A meta-analysis of web-delivered tailored health behavior change interventions. J Health Commun 2013;18(9):1039-1069. [doi: 10.1080/10810730.2013.768727] [Medline: 23750972]
19. Elfeddali I, Bolman C, Candel MJ, Wiers RW, de Vries H. Preventing smoking relapse via Web-based computer-tailored feedback: a randomized controlled trial. J Med Internet Res 2012;14(4):e109 [FREE Full text] [doi: 10.2196/jmir.2057] [Medline: 22903145]
20. Kelders SM, Kok RN, Ossebaard HC, Van Gemert-Pijnen JE. Persuasive system design does matter: a systematic review of adherence to web-based interventions. J Med Internet Res 2012;14(6):e152 [FREE Full text] [doi: 10.2196/jmir.2104] [Medline: 23151820]
21. Eysenbach G. The law of attrition. J Med Internet Res 2005;7(1):e11 [FREE Full text] [doi: 10.2196/jmir.7.1.e11] [Medline: 15829473]
22. Pate RR, Saunders RP, Ward DS, Felton G, Trost SG, Dowda M. Evaluation of a community-based intervention to promote physical activity in youth: lessons from Active Winners. Am J Health Promot 2003;17(3):171-182. [Medline: 12545585]
23. Crutzen R, de Nooijer J, Brouwer W, Oenema A, Brug J, de Vries NK. Strategies to facilitate exposure to internet-delivered health behavior change interventions aimed at adolescents or young adults: a systematic review. Health Educ Behav 2011 Feb;38(1):49-62. [doi: 10.1177/1090198110372878] [Medline: 21189422]
24. Connolly TM, Boyle EA, MacArthur E, Hainey T, Boyle JM. A systematic literature review of empirical evidence on computer games and serious games. Comput Educ 2012 Sep;59(2):661-686. [doi: 10.1016/j.compedu.2012.03.004]
25. DeSmet A, Van Ryckeghem RD, Compernolle S, Baranowski T, Thompson D, Crombez G, et al. A meta-analysis of serious digital games for healthy lifestyle promotion. Prev Med 2014 Dec;69:95-107. [doi: 10.1016/j.ypmed.2014.08.026] [Medline: 25172024]
26. Papastergiou M. Digital game-based learning in high school computer science education: impact on educational effectiveness and student motivation. Comput Educ 2009 Jan;52(1):1-12. [doi: 10.1016/j.compedu.2008.06.004]
27. Tüzün H, Yilmaz-Soylu M, Karakuş T, İnal Y, Kizilkaya G. The effects of computer games on primary school students' achievement and motivation in geography learning. Comput Educ 2009 Jan;52(1):68-77. [doi: 10.1016/j.compedu.2008.06.008]
28. van der Vorst H, Engels RC, Meeus W, Deković M, Van Leeuwe J. The role of alcohol-specific socialization in adolescents' drinking behaviour. Addiction 2005 Oct;100(10):1464-1476. [doi: 10.1111/j.1360-0443.2005.01193.x] [Medline: 16185208]
29. van der Vorst H, Engels RC, Meeus W, Deković M. The impact of alcohol-specific rules, parental norms about early drinking and parental alcohol use on adolescents' drinking behavior. J Child Psychol Psychiatry 2006 Dec;47(12):1299-1306. [doi: 10.1111/j.1469-7610.2006.01680.x] [Medline: 17176385]
30. Spijkerman R, van den Eijnden RJ, Huiberts A. Socioeconomic differences in alcohol-specific parenting practices and adolescents' drinking patterns. Eur Addict Res 2008;14(1):26-37. [doi: 10.1159/000110408] [Medline: 18182770]
31. Turrisi R, Jaccard J, Taki R, Dunnam H, Grimes J. Examination of the short-term efficacy of a parent intervention to reduce college student drinking tendencies. Psychol Addict Behav 2001 Dec;15(4):366-372. [Medline: 11767270]
32. Jander A, Mercken L, Crutzen R, de Vries H. Determinants of binge drinking in a permissive environment: focus group interviews with Dutch adolescents and parents. BMC Public Health 2013;13:882 [FREE Full text] [doi: 10.1186/1471-2458-13-882] [Medline: 24063544]
33. Rijksoverheid. 2014. Alcohol in de wet URL: http://www.rijksoverheid.nl/onderwerpen/alcohol/alcohol-in-de-wet [WebCite Cache ID 6TpqIN7rT]
34. de Vries H, Mudde A, Leijs I, Charlton A, Vartiainen E, Buijs G, et al. The European Smoking Prevention Framework Approach (EFSA): an example of integral prevention. Health Educ Res 2003 Oct;18(5):611-626 [FREE Full text] [Medline: 14572020]
35. De Vries H, Mudde A. Predicting stage transitions for smoking cessation applying the attitude-social influence-efficacy model. Psychol Health 1998;13:369-385.
36. Fishbein M. A theory of reasoned action: some applications and implications. Nebr Symp Motiv 1980;27:65-116. [Medline: 7242751]
37. Ajzen I. The theory of planned behavior. Organ Behav Hum Dec 1991;50:179-211.
38. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall; 1986.
39. Janz NK, Becker MH. The health belief model: a decade later. Health Educ Behav 1984 Jan 01;11(1):1-47. [doi: 10.1177/109019818401100101]
40. Weinstein ND. The precaution adoption process. Health Psychol 1988;7(4):355-386. [Medline: 3049068]
41. Prochaska JO, DiClemente CC, Norcross JC. In search of how people change. Applications to addictive behaviors. Am Psychol 1992 Sep;47(9):1102-1114. [Medline: 1329589]
42. Schulz DN, Kremers SP, Vandelanotte C, van Adrichem MJ, Schneider F, Candel MJ, et al. Effects of a web-based tailored multiple-lifestyle intervention for adults: a two-year randomized controlled trial comparing sequential and simultaneous delivery modes. J Med Internet Res 2014;16(1):e26 [FREE Full text] [doi: 10.2196/jmir.3094] [Medline: 24472854]
43. Stanczyk N, Bolman C, van Adrichem M, Candel M, Muris J, de Vries H. Comparison of text and video computer-tailored interventions for smoking cessation: randomized controlled trial. J Med Internet Res 2014;16(3):e69 [FREE Full text] [doi: 10.2196/jmir.3016] [Medline: 24589938]
44. de Vries H, Backbier E. Self-efficacy as an important determinant of quitting among pregnant women who smoke: the phi-pattern. Prev Med 1994 Mar;23(2):167-174. [Medline: 8047522]
45. Dijkstra A, De Vries H. The development of computer-generated tailored interventions. Patient Educ Couns 1999 Feb;36(2):193-203. [Medline: 10223023]
46. Jander A, Crutzen R, Mercken L, de Vries H. A Web-based computer-tailored game to reduce binge drinking among 16 to 18 year old Dutch adolescents: development and study protocol. BMC Public Health 2014;14:1054 [FREE Full text] [doi: 10.1186/1471-2458-14-1054] [Medline: 25301695]
47. Wechsler H, Dowdall GW, Davenport A, Rimm EB. A gender-specific measure of binge drinking among college students. Am J Public Health 1995 Jul;85(7):982-985. [Medline: 7604925]
48. Lemmens P, Tan ES, Knibbe RA. Measuring quantity and frequency of drinking in a general population survey: a comparison of five indices. J Stud Alcohol 1992 Sep;53(5):476-486. [Medline: 1405641]
49. Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas 1960 Apr 01;20(1):141-151. [doi: 10.1177/001316446002000116]
50. Dunn TJ, Baguley T, Brunsden V. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. Br J Psychol 2014 Aug;105(3):399-412. [doi: 10.1111/bjop.12046] [Medline: 24844115]
51. Peters GJY. The alpha and the omega of scale reliability and validity: Why and how to abandon Conbach's alpha and the route towards more comprehensive assessment od scale quality. Euro Health Psychologist 2014;16:56-69.
52. Spybrook J, Bloom H, Congdon R, Hill C, Martinez A, Raudenbush S. Optimal Design Plus Empirical Evidence: Documentation for the "Optimal Design" Software. New York: William T Grant Foundation; 2011.
53. Candel MJ, Van Breukelen GJ. Sample size adjustments for varying cluster sizes in cluster randomized trials with binary outcomes analyzed with second-order PQL mixed logistic regression. Stat Med 2010 Jun 30;29(14):1488-1501. [doi: 10.1002/sim.3857] [Medline: 20101669]
54. Molenberghs G, Kenward M. Missing data in clinical studies. Chichester: Wiley; 2007.
55. Hayes AF, Matthes J. Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behav Res Methods 2009 Aug;41(3):924-936. [doi: 10.3758/BRM.41.3.924] [Medline: 19587209]
56. Rosenthal JA. Qualitative descriptors of strength of association and effect size. J Soc Serv Res 1996 Oct 11;21(4):37-59. [doi: 10.1300/J079v21n04-02]
57. Perry CL, Williams CL, Komro KA, Veblen-Mortenson S, Stigler MH, Munson KA, et al. Project Northland: long-term outcomes of community action to reduce adolescent alcohol use. Health Educ Res 2002 Feb;17(1):117-132 [FREE Full text] [Medline: 11888042]
58. Crockett L, Petersen A. Adolescent development: health risks and opportunities for health promotion. In: Millstein SG, Petersen AC, Nightingale EO, editors. Promoting the Health of Adolescents. New York: Oxford University Press; 1993.
59. Bartholomew L, Parcel G, Kok G, Gottlieb N, Fernandez M. Planning Health Promotion Programs: An Intervention Mapping Approach. third ed. San Francisco, CA: Jossey-Bass; 2011.
60. Schulz DN, Schneider F, de Vries H, van Osch LA, van Nierop PW, Kremers SP. Program completion of a web-based tailored lifestyle intervention for adults: differences between a sequential and a simultaneous approach. J Med Internet Res 2012;14(2):e26 [FREE Full text] [doi: 10.2196/jmir.1968] [Medline: 22403770]
61. Schneider F, van Osch L, Schulz DN, Kremers SP, de Vries H. The influence of user characteristics and a periodic email prompt on exposure to an internet-delivered computer-tailored lifestyle program. J Med Internet Res 2012;14(2):e40 [FREE Full text] [doi: 10.2196/jmir.1939] [Medline: 22382037]
62. de Vries H, Kremers SP, Smeets T, Brug J, Eijmael K. The effectiveness of tailored feedback and action plans in an intervention addressing multiple health behaviors. Am J Health Promot 2008;22(6):417-425. [doi: 10.4278/ajhp.22.6.417] [Medline: 18677882]
63. Prochaska JO, Redding CA, Evers KE. The Transtheoretical Model and stages of change. In: Glanz BKR BK, Viswanath K, editors. Health Behavior and Health Education: Theory, Research, and Practice. San Francisco, CA: Jossey-Bass; 2008.
64. Kuntsche E, Knibbe R, Gmel G, Engels R. Why do young people drink? A review of drinking motives. Clin Psychol Rev 2005 Nov;25(7):841-861. [doi: 10.1016/j.cpr.2005.06.002] [Medline: 16095785]
65. de Vries H, Logister M, Krekels G, Klaasse F, Servranckx V, van Osch L. Internet based computer tailored feedback on sunscreen use. J Med Internet Res 2012;14(2):e48 [FREE Full text] [doi: 10.2196/jmir.1902] [Medline: 22547528]
66. Schneider F, de Vries H, Candel M, van de Kar A, van Osch L. Periodic email prompts to re-use an internet-delivered computer-tailored lifestyle program: influence of prompt content and timing. J Med Internet Res 2013;15(1):e23 [FREE Full text] [doi: 10.2196/jmir.2151] [Medline: 23363466]
67. Cremers H, Mercken L, Crutzen R, Willems P, de Vries H, Oenema A. Do email and mobile phone prompts stimulate primary school children to reuse an Internet-delivered smoking prevention intervention? J Med Internet Res 2014;16(3):e86 [FREE Full text] [doi: 10.2196/jmir.3069] [Medline: 24642082]
68. DiIorio C, McCarty F, Resnicow K, Lehr S, Denzmore P. REAL men: a group-randomized trial of an HIV prevention intervention for adolescent boys. Am J Public Health 2007 Jun;97(6):1084-1089. [doi: 10.2105/AJPH.2005.073411] [Medline: 17463382]
69. Anderson NL, Koniak-Griffin D, Keenan CK, Uman G, Duggal BR, Casey C. Evaluating the outcomes of parent-child family life education. Sch Inq Nurs Pract 1999;13(3):211-34; discussion 235. [Medline: 10628237]
70. Bennett GG, Glasgow RE. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health 2009;30:273-292. [doi: 10.1146/annurev.publhealth.031308.100235] [Medline: 19296777]
71. Sobell LC, Cellucci T, Nirenberg TD, Sobell MB. Do quantity-frequency data underestimate drinking-related health risks? Am J Public Health 1982 Aug;72(8):823-828. [Medline: 7091478]