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Meta-analysis of the effects of smoking prevention programs for young adolescents

  • Received : 2021.02.02
  • Accepted : 2021.03.24
  • Published : 2021.04.30

Abstract

Purpose: This meta-analysis aimed to analyze the effects of smoking prevention programs for young adolescents at early smoking stages to identify the appropriate characteristics of prevention programs for this population. Methods: Searches of health-related databases and Google Scholar were conducted, and 23 randomized studies were included in the analysis. The main outcome variable was smoking behavior. The analysis was conducted using Comprehensive Meta-Analysis software (version 3.0). Results: Smoking prevention programs significantly reduced smoking behaviors (OR=0.85, 95% CI=0.77~0.93). School-based programs (OR=0.79, 95% CI=0.75~0.83), programs by trained teachers or educators (OR=0.77, 95% CI=0.71~0.83), high-intensity programs (OR=0.82, 95% CI=0.75~0.91), and programs in an in-school setting (OR=0.82, 95% CI=0.74~0.90) had the most significant effect on reducing smoking behavior. Conclusion: For young adolescents, smoking prevention programs are most effective when they are school-based or high-intensity programs, and when conducted by teachers or educators with proper training. Further studies are required since there was insufficient research to explore the effect of web-based programs or family-centered programs on adolescent smokers.

Keywords

Acknowledgement

This study was supported by research fund of Chungnam National University in 2018.

References

  1. Strand TE, Malayeri C, Eskonsipo PKJ, Grimsrud TK, Norstein J, Grotmol T. Adolescent smoking and trends in lung cancer incidence among young adults in Norway 1954-1998. Cancer Causes and Control. 2004;15(1):27-33. https://doi.org/10.1023/B:CACO.0000016575.31651.b0
  2. Kim YE, Kim DH, Roh YK, Ju SY, Yoon YJ, Nam GE, et al. Relationship between serum ferritin levels and dyslipidemia in Korean adolescents. PLoS One. 2016;11(4):e0153167. https://doi.org/10.1371/journal.pone.0153167
  3. Curry SJ, Mermelstein RJ, Sporer AK. Therapy for specific problems: Youth tobacco cessation. Annual review of psychology. 2009;60:229-255. https://doi.org/10.1146/annurev.psych.60.110707.163659
  4. Korea Disease Control and Prevention Agency. The fifteenth Korea youth risk behavior web-based survey in 2019 [Internet]. Cheongju: Korea Disease Control and Prevention Agency; 2019 [cited 2020 December 21]. Available from: https://www.kdca.go.kr/yhs/
  5. Casey BJ, Getz S, Galvan A. The adolescent brain. Developmental Review. 2008;28(1):62-77. https://doi.org/10.1016/j.dr.2007.08.003
  6. Petrescu DC, Vasiljevic M, Pepper JK, Ribisl KM, Marteau TM. What is the impact of e-cigarette adverts on children's perceptions of tobacco smoking? An experimental study. Tobacco Control. 2017;26(4):421-427. https://doi.org/10.1136/tobaccocontrol-2016-052940
  7. Fergusson DM, Horwood LJ. Transitions to cigarette smoking during adolescence. Addictive Behaviors. 1995;20(5):627-642. https://doi.org/10.1016/0306-4603(95)00023-6
  8. Lee JS, Kim H. Meta-analysis of effectiveness of smoking prevention program for elementary school students. Korean Journal of Health Education and Promotion. 2017;34(4):99-110. https://doi.org/10.14367/kjhep.2017.34.4.99
  9. Fanshawe TR, Halliwell W, Lindson N, Aveyard P, Livingstone-Banks J, Hartmann-Boyce J. Tobacco cessation interventions for young people. The Cochrane Database of Systematic Reviews. 2017;11(11):CD003289. https://doi.org/10.1002/14651858.CD003289.pub6
  10. Kim Y, Park I, Park JS. Meta-analysis of effects on adolescent smoking cessation programs in Korea. Journal of Korean Academy of Nursing. 2008;38(2):204-216. https://doi.org/10.4040/jkan.2008.38.2.204
  11. Corepal R, Tully MA, Kee F, Miller SJ, Hunter RF. Behavioural incentive interventions for health behaviour change in young people (5-18 years old): A systematic review and meta-analysis. Preventive Medicine. 2018;110:55-66. https://doi.org/10.1016/j.ypmed.2018.02.004
  12. De Kleijn MJJ, Farmer MM, Booth M, Motala A, Smith A, Sherman S, et al. Systematic review of school-based interventions to prevent smoking for girls. Systematic Reviews. 2015;4:109. https://doi.org/10.1186/s13643-015-0082-7
  13. Carson KV, Brinn MP, Labiszewski NA, Esterman AJ, Chang AB, Smith BJ. Community interventions for preventing smoking in young people. The Cochrane Database of Systematic Reviews. 2011;7:CD001291. https://doi.org/10.1002/14651858.CD001291.pub2
  14. Park E, Drake E. Systematic review: Internet-based program for youth smoking prevention and cessation. Journal of Nursing Scholarship. 2015;47(1):43-50. https://doi.org/10.1111/jnu.12104
  15. Sussman S, Sun P, Dent CW. A meta-analysis of teen cigarette smoking cessation. Health Psychology. 2006;25(5):549-557. https://doi.org/10.1037/0278-6133.25.5.549
  16. Brinker TJ, Owczarek AD, Seeger W, Groneberg DA, Brieske CM, Jansen P, et al. A medical student-delivered smoking prevention program, education against tobacco, for secondary schools in Germany: Randomized controlled trial. Journal of Medical Internet Research. 2017;19(6):e199. https://doi.org/10.2196/jmir.7906
  17. Valdivieso Lopez E, Rey-Renones C, Rodriguez-Blanco T, Ferre Grau C, Arija V, Barrera Uriarte ML, et al. Efficacy of a smoking prevention programme in Catalan secondary schools: A cluster-randomized controlled trial in Spain. Addiction. 2015;110(5):852-860. https://doi.org/10.1111/add.12833
  18. Bast LS, Due P, Bendtsen P, Ringgard L, Wohllebe L, Damsgaard MT, et al. High impact of implementation on school-based smoking prevention: The X: IT study-a cluster-randomized smoking prevention trial. Implementation Science. 2016;11(1):125. https://doi.org/10.1186/s13012-016-0490-7
  19. Baldus C, Thomsen M, Sack PM, Broning S, Arnaud N, Daubmann A, et al. Evaluation of a German version of the Strengthening Families Programme 10-14: A randomised controlled trial. European Journal of Public Health. 2016;26(6):953-959. https://doi.org/10.1093/eurpub/ckw082
  20. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine. 2009;6(7):e1000097. https://doi.org/10.1371/journal.pmed.1000097
  21. Bornstein MH, Hahn CS, Haynes OM. Social competence, externalizing, and internalizing behavioral adjustment from early childhood through early adolescence: Developmental cascades. Development and Psychopathology. 2010;22(4):717-735. https://doi.org/10.1017/S0954579410000416
  22. Scottish Intercollegate Guidelines Network. SIGN 50: A guideline developer's handbook [Internet]. Edinburgh: Scottish Intercollegate Guidelines Network; 2019 [cited 2019 November 30]. Available from: https://www.sign.ac.uk/our-guidelines/sign-50-a-guideline-developers-handbook/
  23. Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. Cochrane handbook for systematic reviews of interventions. 2nd ed. New Jersey: Wiley-Blackwell; 2019. p. 362-588.
  24. Egger M, Davey Smith G, Schneider M, Minder C. Bias in metaanalysis detected by a simple, graphical test. BMJ. 1997;315(7109): 629-634. https://doi.org/10.1136/bmj.315.7109.629
  25. Borenstein M. Common mistakes in meta-analysis and how to avoid them. New Jersey: Biostat Inc.; 2019. p. 13-41.
  26. Thomas RE, McLellan J, Perera R. Effectiveness of school-based smoking prevention curricula: Systematic review and meta-analysis. BMJ Open. 2015;5(3):e006976. https://doi.org/10.1136/bmjopen-2014-006976
  27. Thomas RE, Baker PRA, Thomas BC, Lorenzetti DL. Family-based programmes for preventing smoking by children and adolescents. The Cochrane Database of Systematic Reviews. 2015;2:CD004493. https://doi.org/10.1002/14651858.CD004493.pub3
  28. Agerup T, Lydersen S, Wallander J, Sund AM. Associations between parental attachment and course of depression between adolescence and young adulthood. Child Psychiatry and Human Development. 2015;46(4):632-642. https://doi.org/10.1007/s10578-014-0506-y
  29. Myung SK, McDonnell DD, Kazinets G, Seo HG, Moskowitz JM. Effects of web- and computer-based smoking cessation programs: Meta-analysis of randomized controlled trials. Archives of Internal Medicine. 2009;169(10):929-937. https://doi.org/10.1001/archinternmed.2009.109
  30. Hallinan MT. Teacher influences on students' attachment to school. Sociology of Education. 2008;81(3):271-283. https://doi.org/10.1177/003804070808100303