A web-based computer-tailored smoking prevention programme for primary school children: Intervention design and study protocol

BMC Public Health

Volumn 12, Issue 1, 2012, Pages

  Cremers, Henricus Paul ^a   Mercken, Liesbeth ^a   Oenema, Anke ^a   De Vries, Hein ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ARTICLE; CHILD; CLINICAL TRIAL; CLUSTER ANALYSIS; COMPUTER INTERFACE; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; FEMALE; HEALTH PROMOTION; HUMAN; INTERNET; MALE; METHODOLOGY; NETHERLANDS; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL; SCHOOL; SMOKING;

ADOLESCENT; CHILD; CLUSTER ANALYSIS; FEMALE; HEALTH PROMOTION; HUMANS; INTERNET; MALE; NETHERLANDS; QUESTIONNAIRES; SCHOOLS; SMOKING; USER-COMPUTER INTERFACE;

EID: 84862121030     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-12-277     Document Type: Article

References (46)

1. WHO, Health Behavior in School-aged Children (HSBC) study: a cross national survey World Health Organization: Health Policy for Children and Adolescents edition, Copenhagen: Edinburgh 1996
2. WHO: Chapter 5 combating the tobacco epidemic. In The World Health Report 1999 making a difference. World Health Organization, 1999 65 76 22555011
3. WHO: Health and health behavior among young people. In WHO Policy Series: Health Policy for Children and Adolescents (HEPCA) Report No:EUR/ICP/IVST 06 03 05 (A). World Health Organizatio, 2000
4. STIVORO, Roken, de harde feiten: Jeugd 2010 [Smoking, the firm facts: Youth 2010] Stichting Volksgezondheid en Roken [Dutch Foundation on Smoking and Health], Den Haag 2010
5. From determinants of smoking behavior to the implications for a prevention programme. De Vries H, Kok GJ, Health Educ Res 1986 1 2 85 94 10.1093/her/1.2.85 (Pubitemid 17173335)
6. The development of smoking behavior: Conceptualization and supportive cross-sectional survey data. Hirschman RS, Leventhal H, Glynn K, J Appl Soc Psychol 1984 14 3 184 206 10.1111/j.1559-1816.1984.tb02231.x
7. Psychosocial factors related to adolescent smoking: a critical review of the literature. Tyas SL, Pederson LL, Tob Control 1998 7 4 409 420 10.1136/tc.7.4.409 10093176 (Pubitemid 128656183)
8. Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Kelder SH, Perry CL, Klepp KI, Lytle LL, Am J Public Health 1994 84 7 1121 1126 10.2105/AJPH.84.7.1121 8017536 (Pubitemid 24242484)
9. Short-term effects of a randomized computer-based out-of-school smoking prevention trial aimed at elementary schoolchildren. Ausems M, Mesters I, van Breukelen G, De Vries H, Prev Med 2002 34 6 581 589 10.1006/pmed.2002.1021 12052017 (Pubitemid 34971659)
10. Sussman S, Dent C, Burton D, Stacy A, Flay B, Developing School-Based Tobacco Use Prevention and Cesstion Programs Sage, London 1995
11. Challenges to the peer influence paradigm: results from 12-13 year olds from six European countries from the European Smoking Prevention Framework Approach Study. De Vries H, Candel M, Engels R, Mercken L, Tob Control 2006 15 2 83 89 10.1136/tc.2003.007237 16565454 (Pubitemid 43516415)
12. School-based substance abuse prevention: a review of the state of the art in curriculum, 1980-1990. Hansen WB, Health Educ Res 1992 7 3 403 430 10.1093/her/7.3.403 10171672
13. School-based programmes for preventing smoking. Thomas R, Perera R, Cochrane Database of Syst Rev 2006 3 D001293
14. A meta-analysis of smoking prevention programs after adjustment for errors in the unit analysis. Rooney B, Murray D, Health Educ Q 1996 23 48 64 10.1177/109019819602300104 8822401
15. School-based programmes for preventing smoking. Thomas R, Cochrane Database Syst Rev 2002 4 D001293 12519553
16. School based smoking prevention: The teacher training process. Botvin GJ, Prev Med 1989 18 280 289 10.1016/0091-7435(89)90075-3 2740297 (Pubitemid 19169147)
17. Goldberg ME, Fishbein M, Middlestadt SE, Social Marketing: Theoretical and Practical Perspectives Lawrence Erlbaum Associates, Mahwah 1997
18. Smoking prevention and young people: Using research to identify out-of-school intervention sites in three countries. Bullock AD, De Vries H, Lopez ML, Thomas H, et al. Educ Rev 1996 48 2 143 152 10.1080/0013191960480204
19. Access point analysis in smoking and non-smoking adolescents: findings from the ESFA study. De Vries H, Vant Riet J, Panday S, Reubsaet A, Eur J Cancer Prev 2007 16 3 257 265 10.1097/01.cej.0000243855.89856.06 17415097 (Pubitemid 46597430)
20. Adolescent health, school health activities, community contexts, and health surveys in Sweden. Berg-Kelly K, J Adolesc Health 2003 33 4 226 230 10.1016/S1054-139X(03)00098-3 14519563 (Pubitemid 37163550)
21. At-risk youth and leisure: an ecological perspective. McCready C, J Leasurability 1997 24 31 36
22. Do Dutch 11-12 years olds who never smoke, smoke experimentally or smoke regularly have different demographic backgrounds and perceptions of smoking? Ausems M, Mesters I, Van Breukelen G, De Vries H, Eur J Public Health 2003 13 160 167 10.1093/eurpub/13.2.160 12807093 (Pubitemid 36648124)
23. Effects of in-school and tailored out-of-school smoking prevention among Dutch vocational school students. Ausems M, Mesters I, van Breukelen G, De Vries H, Health Educ Res 2004 19 1 51 63 10.1093/her/cyg001 15020545 (Pubitemid 38222377)
24. A meta-analysis of computer-tailored interventions for health behavior change. Krebs P, Prochaska JO, Rossi JS, Prev Med 2010 51 3-4 214 221 20558196
25. The delivery of public health interventions via the Internet: actualizing their potential. Bennett GG, Glasgow RE, Annu Rev Public Health 2009 30 273 292 10.1146/annurev.publhealth.031308.100235 19296777
26. The law of attrition. Eysenbach G, J Med Internet Res 2005 7 1 11 10.2196/jmir.7.1.e11 15829473 (Pubitemid 41800649)
27. Effectiveness of computer-tailored Smoking Cessation Advice in Primary Care (ESCAPE): a randomised trial. Gilbert H, Nazareth I, Sutton S, Morris R, Godfrey C, Trials 2008 9 23 10.1186/1745-6215-9-23 18445279 (Pubitemid 351803163)
28. The effectiveness of tailored feedback and action plans in an intervention addressing multiple health behaviors. De Vries H, Kremers SP, Smeets T, Brug J, Eijmael K, Am J Health Promot 2008 22 6 417 425 10.4278/ajhp.22.6.417 18677882 (Pubitemid 351976890)
29. Strategies to facilitate exposure to internet-delivered health behavior change interventions aimed at adolescents or young adults: a systematic review. Crutzen R, de Nooijer J, Brouwer W, Oenema A, Brug J, de Vries NK, Health Educ Behav 2011 38 1 49 62 10.1177/1090198110372878 21189422
30. Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. Fry JP, Neff RA, J Med Internet Res 2009 11 2 16 10.2196/jmir.1138 19632970
31. Skin cancer prevention: behaviour and motives of Dutch adolescents. De Vries H, Lezwijn J, Hol M, Honing C, Eur J Cancer Prev 2005 14 1 39 50 10.1097/00008469-200502000-00006 15677894 (Pubitemid 40396929)
32. Parentsand friends smoking status as predictors of smoking onset: findings from six European countries. De Vries H, Engels R, Kremers S, Wetzels J, Mudde A, Health Educ Res 2003 18 5 627 636 10.1093/her/cyg032 14572021 (Pubitemid 37236891)
33. The general publics information needs and perceptions regarding hereditary cancer: an application of the Integrated Change Model. De Vries H, Mesters I, van de Steeg H, Honing C, Patient Educ Couns 2005 56 2 154 165 10.1016/j.pec.2004.01.002 15653244 (Pubitemid 40093813)
34. Bartholomew LK, Parcel GS, Kok G, Gottlieb NH, Fernández ME, Planning Health Promotion Programs Jossey-Bass, San Francisco 2011
35. A taxonomy of behavior change techniques used in interventions. Abraham C, Michie S, Health Psychol 2008 27 3 379 387 18624603 (Pubitemid 352033748)
36. Techsmith Morae website http://www.techsmith.com/morae.html
37. Statistical analysis and optimal design for cluster randomized trials. Raudenbush SW, Psychol Methods 1997 2 2 173 185 (Pubitemid 127453662)
38. Ausems M, et al. In-school and out-of-school smoking prevention controlled trial, Submitted for publication 2009
39. Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M, Soc Sci Med 2008 66 6 1429 1436 10.1016/j.socscimed.2007.11.024 18179852 (Pubitemid 351232106)
40. An examination of the validity of the Family Affluence Scale II (FAS II) in a general adolescent population of Canada. Boudreau B, Poulin C, Soc Indic Res 2009 94 29 42 10.1007/s11205-008-9334-4
41. Attitudes and the attitude-behavior relation: reasoned and automatic processes. Ajzen I, Fishbein M, Eur Rev Soc Psychol 2000 11 1 1 33 10.1080/14792779943000116
42. Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Ajzen I, J Applied Soc Psy 2002 32 4 665 683 10.1111/j.1559-1816.2002.tb00236.x
43. A Dutch social influence smoking prevention approach for vocational school students. De Vries H, Backbier E, Dijkstra M, Van Breukelen G, Parcel G, Kok G, Health Educ Res 1994 9 3 365 374 10.1093/her/9.3.365 (Pubitemid 24282024)
44. The European Smoking Prevention Framework Approach (ESFA): short-term effects. De Vries H, Mudde A, Kremers S, Wetzels J, Uiters E, Ariza C, Vitoria PD, Fielder A, Holm K, Janssen K, et al. Health Educ Res 2003 18 6 649 663 discussion 664-677 10.1093/her/cyg033 14654499 (Pubitemid 38009389)
45. Effectiveness of the universal prevention program Healthy School and Drugs: study protocol of a randomized clustered trial. Malmberg M, Overbeek G, Kleinjan M, Vermulst A, Monshouwer K, Lammers J, Volleberg WAM, Engels RCME, BMC Publ Health 2010 10 541 10.1186/1471-2458-10-541
46. An assessment of the validity of adolescent self-reported smoking using three biological indicators. Dolcini MM, Adler NE, Lee P, Bauman KE, Nicotine Tob Res 2003 5 4 473 483 12959785 (Pubitemid 37081128)