Identifying factors that influence adolescents’ decisions to start smoking is necessary to improve interventions for reducing tobacco use. The current longitudinal study was designed to determine the direction of influence between feelings of invulnerability to harm and cigarette smoking, and to test whether the perceived risks and benefits of smoking mediate the relationship between invulnerability and smoking. Participants were 228 adolescents (57% female; = 14 years) recruited from 9th grade classrooms, who completed questionnaires during class every 6 months through the end of 10th grade. Invulnerability predicted smoking behavior, but not vice versa. These effects became non-significant after controlling for friends’ smoking behavior. Perceived benefits of smoking, but not perceived risks, mediated the relationship between invulnerability and smoking behavior (ab = .03, 95% confidence interval [CI] = [.004, .078]). Adolescents who feel invulnerable to physical danger may be more likely to smoke in part because they perceive more benefits associated with smoking.
AjzenI. (1991). The theory of planned behavior. Organizational Human Behavior and Decision Processes, 50, 179-211.
2.
AndersonC. B.PollakK. I.WetterD. W. (2002). Relations between self-generated positive and negative expected smoking outcomes and smoking behavior: An exploratory study among adolescents. Psychology of Addictive Behaviors, 16, 196-204.
3.
AryalU. R.PetzoldM.KrettekA. (2013). Perceived risks and benefits of cigarette smoking among Nepalese adolescents: A population-based cross-sectional study. BMC Public Health, 13, 187. doi:10.1186/1471-2458-13-187.
4.
BanduraA. (1977). Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.
5.
BaronR. M.KennyD. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
6.
BriggsN. (2006). Estimation of the standard error and confidence interval of the indirect effect in multiple mediator models. Dissertation Abstracts International, 37, 4755B.
7.
ChungT.WhiteH. R.HipwellA. E.SteppS. D.LoeberR. (2010). A parallel process model of the development of positive smoking expectancies and smoking behavior during early adolescence in Caucasian and African American girls. Addictive Behaviors, 35, 647-650.
8.
DaltonM. A.BeachM. L.Adachi-MejiaA. M.LongacreM. R.MatzkinA. L.SargentJ. D.. . . Titus-ErnstoffL. (2009). Early exposure to movie smoking predicts established smoking by older teens and young adults. Pediatrics, 123, e551-e558.
9.
DugganP. M.LapsleyD. K.NormanK. (2000, April). Adolescent invulnerability and personal uniqueness: Scale development and initial construct validation. Paper presented at the Meeting of the Society for Research on Adolescence, Chicago, IL.
10.
ElkindD. (1967). Egocentrism in adolescence. Child Development, 38, 1025-1034.
11.
FergusonC. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40, 532-538.
12.
Halpern-FelsherB. L.BiehlM.KroppR.RubinsteinM. (2004). Perceived risks and benefits of smoking: Differences among adolescents with different smoking experiences and intentions. Preventive Medicine, 39, 559-567.
13.
Halpern-FelsherB. L.MillsteinS. G.EllenJ. M.AdlerN. E.TschannJ. M.BiehlM. (2001). The role of behavioral experience in judging risks. Health Psychology, 20, 120-126.
14.
Halpern-FelsherB. L.RamosM. E.CornellJ. L. (2007). Adolescents’ and young adults’ perceptions of tobacco use: A review and critique of the current literature. In BonnieR. J.StrattonK.WallaceR. B. (Eds.), Ending the tobacco problem: A blueprint for the nation (pp. 478-494). Washington, DC: National Academies Press.
15.
HayesA. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76, 408-420.
16.
HillP. L.DugganP. M.LapsleyD. K. (2012). Subjective invulnerability, risk behavior, and adjustment in early adolescence. The Journal of Early Adolescence, 32(4), 489-501.
17.
HineD. W.TilleczekK.LewkoJ.MacKenzie-RicherA.PerraultL. (2005). Measuring adolescent smoking expectancies by incorporating judgments about the expected time of occurrence of smoking outcomes. Psychology of Addictive Behaviors, 19, 284-290.
18.
Jacobs-QuadrelM.FischoffB.DavisW. (1993). Adolescent (in)vulnerability. The American Psychologist, 48, 102-116.
19.
KrosnickJ. A.ChangL.ShermanS. J.ChassinL.PressonC. (2006). The effects of beliefs about the health consequences of cigarette smoking on smoking onset. Journal of Communication, 56, S18-S37.
20.
LapsleyD. K. (2003). The two faces of adolescent invulnerability. In RomerD. (Ed.), Reducing adolescent risk: Toward and integrative approach (pp. 25-31). Thousand Oaks, CA: SAGE.
21.
LapsleyD. K.DugganP. M. (2001, April). The adolescent invulnerability scale: Factor structure and construct validity. Paper presented at the meeting of the Society for Research in Child Development, Minneapolis, MN.
22.
LapsleyD. K.HillP. L. (2010). Subjective invulnerability, optimism bias and adjustment in emerging adulthood. Journal of Youth and Adolescence, 39, 847-857.
23.
LapsleyD. K.MurphyM. N. (1985). Another look at the theoretical assumptions of adolescent egocentrism. Developmental Review, 5, 201-217.
24.
MacKinnonD. P.DwyerJ. H. (1993). Estimating mediated effects in prevention studies. Evaluation Review, 17, 144-158.
25.
MaysD.GilmanS. E.RendeR.LutaG.TercyakK. P.NiauraR. S. (2014). Parental smoking exposure and adolescent smoking trajectories. Pediatrics, 133, 983-991.
26.
MillsteinS. G.Halpern-FelsherB. L. (2002a). Judgments about risk and perceived invulnerability in adolescents and young adults. Journal of Research on Adolescence, 12, 399-422.
27.
MillsteinS. G.Halpern-FelsherB. L. (2002b). Perceptions of risk and vulnerability. Journal of Adolescent Health, 31(Suppl. 1), 10-27.
28.
MorrellH. E. R.SongA. V.Halpern-FelsherB. L. (2010). Predicting adolescent perceptions of the risks and benefits of cigarette smoking: A longitudinal investigation. Health Psychology, 29, 610-617.
29.
PierceJ. P.GilpinE.BurnsD. M.WhalenE.RosbrookB.ShoplandD.JohnsonM. (1991). Does tobacco advertising target young people to start smoking? Evidence from California. Journal of the American Medical Association, 266, 3154-3158.
30.
PreacherK. J.HayesA. F. (2008a). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879-891.
31.
PreacherK. J.HayesA. F. (2008b). Contemporary approaches to assessing mediation in communication research. In HayesA. F.SlaterM. D.SnyderL. B. (Eds.), The SAGE sourcebook of advanced data analysis methods for communication research (pp. 13-54). Thousand Oaks, CA: SAGE.
32.
RacicotS.McGrathJ. J.O’LoughlinJ. (2011). An investigation of social and pharmacological exposure to secondhand tobacco smoke as possible predictors of perceived nicotine dependence, smoking susceptibility, and smoking expectancies among never-smoking youth. Nicotine & Tobacco Research, 13, 926-933.
33.
RodriguezD.RomerD.Audrain-McGovernJ. (2007). Beliefs about the risks of smoking mediate the relationship between exposure to smoking and smoking. Psychosomatic Medicine, 69, 106-113.
34.
RomerD.JamiesonP. (2001). Do adolescents appreciate the risks of smoking? Evidence from a national survey. Journal of Adolescent Health, 29, 12-21.
35.
RonisD. L. (1992). Conditional health threats: Health beliefs, decisions, and behaviors among adults. Health Psychology, 11, 127-134.
36.
RosenstockI. M.StrecherV. J.BeckerM. H. (1988). Social learning theory and the health belief model. Health Education Quarterly, 15, 175-183.
37.
ShroutP. E.BolgerN. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7, 422-445.
38.
Simons-MortonB.FarhatT. (2010). Recent findings on peer group influences on adolescent smoking. The Journal of Primary Prevention, 31, 191-208.
39.
SobelM. E. (1982). Asymptotic confidence intervals for indirect effects in structural equations models. In LeinhartS. (Ed.), Sociological methodology 1982 (pp. 290-312). San Francisco, CA: Jossey-Bass.
40.
SongA. V.MorrellH. E. R.CornellJ. L.RamosM. E.BiehlM.KroppR. Y.Halpern-FelsherB. L. (2009). Perceptions of smoking-related risks and benefits as predictors of adolescent smoking initiation. American Journal of Public Health, 99, 487-492.
41.
StantonA.GrimshawG. (2013). Tobacco cessation interventions for young people. Cochrane Database of Systematic Reviews, 8, CD003289.
42.
U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. (2010). How tobacco smoke causes disease: The biology and behavioral basis for smoking-attributable disease: A report of the surgeon general. Retrieved from http://www.ncbi.nlm.nih.gov/books/NBK53017/
43.
U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. (2014). The health consequences of smoking—50 years of progress. A report of the surgeon general. Retrieved from http://www.surgeongeneral.gov/library/reports/50-years-of-progress/index.html
44.
van der VeldeF. W.HooykaasC.van der PligtJ. (1996). Conditional versus unconditional risk estimates in models of AIDS-related risk behaviour. Psychology & Health, 12, 87-100.
45.
WilliamsJ.MacKinnonD. P. (2008). Resampling and distribution of the product methods for testing indirect effects in complex models. Structural Equation Modeling, 15, 23-51.
