Examining the impact of perceived psychological distances of quitting and continuing tobacco smoking on antismoking intention: a cross-sectional study.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
27 Dec 2023
27 Dec 2023
Historique:
received:
06
02
2023
accepted:
20
12
2023
medline:
28
12
2023
pubmed:
28
12
2023
entrez:
27
12
2023
Statut:
epublish
Résumé
To date, little research has been conducted to understand the role of psychological distances on smoking behaviour. Construal Level Theory posits that individuals mentally construe events, objects, or ideas based on their perceived distance in terms of spatial, temporal, social, and hypothetical dimensions, influencing their judgments and decision-making processes. The aim of the current study was (1) to provide a comprehensive exploration of psychological distances of costs and benefits of tobacco smoking and antismoking intention and (2) to examine whether smoking can be attributed to rational behaviour based on the psychological distance weighted balance of perceived costs and benefits of quitting and continuing smoking. Mediation models delineating the relationships among temporal and hypothetical psychological distances, personal relevance and antismoking intention were tested on cross-sectional survey data of 1486 smokers (880 men, M
Identifiants
pubmed: 38151498
doi: 10.1038/s41598-023-50440-6
pii: 10.1038/s41598-023-50440-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
22993Subventions
Organisme : National Research, Development and Innovation Office
ID : K131635
Organisme : National Research, Development and Innovation Office
ID : K131635
Organisme : National Research, Development and Innovation Office
ID : K131635
Informations de copyright
© 2023. The Author(s).
Références
United Nations Office on Drugs and Crime. World Drug Report 2020 (United Nations Publication, Sales No. E. 20. XI. 6, 2020).
Bartal, M. Health effects of tobacco use and exposure. Monaldi Arch. Chest Dis. 56(6), 545–554 (2001).
pubmed: 11980288
Cornelius, M. E., Loretan, C. G., Wang, T. W., Jamal, A. & Homa, D. M. Tobacco product use among adults—United States, 2020. Morb. Mortal. Wkly. Rep. 71(11), 397 (2022).
doi: 10.15585/mmwr.mm7111a1
World Health Organization. European tobacco use: Trends report 2019 (No. WHO/EURO: 2019-3711-43470-61063) (World Health Organization, Regional Office for Europe, 2019).
Liberman, N. & Trope, Y. The role of feasibility and desirability considerations in near and distant future decisions: A test of temporal construal theory. J. Pers. Soc. Psychol. 75, 5–18. https://doi.org/10.1037/0022-3514.75.1.5 (1998).
doi: 10.1037/0022-3514.75.1.5
Liberman, N. & Trope, Y. Temporal construal. Psychol. Rev. 110, 403–421. https://doi.org/10.1037/0033-295X.110.3.403 (2003).
doi: 10.1037/0033-295X.110.3.403
pubmed: 12885109
Kim, K. & Kim, H. S. Time matters: Framing antismoking messages using current smokers’ preexisting perceptions of temporal distance to smoking-related health risks. Health Commun. 33(3), 338–348 (2018).
pubmed: 28095028
doi: 10.1080/10410236.2016.1266579
Loy, L. S. & Spence, A. Reducing, and bridging, the psychological distance of climate change. J. Environ. Psychol. 67, 101388 (2020).
doi: 10.1016/j.jenvp.2020.101388
Carmi, N. & Kimhi, S. Further than the eye can see: Psychological distance and perception of environmental threats. Hum. Ecol. Risk Assess. Int. J. 21(8), 2239–2257 (2015).
doi: 10.1080/10807039.2015.1046419
Liberman, N. & Trope, Y. The psychology of transcending the here and now. Science 322, 1201–1205. https://doi.org/10.1126/science.1161958 (2008).
doi: 10.1126/science.1161958
pubmed: 19023074
pmcid: 2643344
Liberman, N., Trope, Y. & Stephan, E. Psychological distance. In Social Psychology: Handbook of Basic Principles Vol. 2 (eds Kruglanski, A. W. & Higgins, E. T.) 353–381 (The Guilford Press, New York, 2007).
Maiella, R. et al. The psychological distance and climate change: A systematic review on the mitigation and adaptation behaviors. Front. Psychol. 11, 568899 (2020).
pubmed: 33329207
pmcid: 7717940
doi: 10.3389/fpsyg.2020.568899
Leiser, D., Azar, O. H. & Hadar, L. Psychological construal of economic behavior. J. Econ. Psychol. 29(5), 762–776 (2008).
doi: 10.1016/j.joep.2008.08.002
Eyal, T. & Liberman, N. Morality and psychological distance: A construal level theory perspective. In The social psychology of morality: Exploring the causes of good and evil (eds Mikulincer, M. & Shaver, P. R.) 185–202 (American Psychological Association, Washington, DC, 2012).
doi: 10.1037/13091-010
Zhao, X., Nan, X., Iles, I. A. & Yang, B. Temporal framing and consideration of future consequences: Effects on smokers’ and at-risk nonsmokers’ responses to cigarette health warnings. Health Commun. 30(2), 175–185 (2015).
pubmed: 25470442
doi: 10.1080/10410236.2014.974122
Nan, X., Zhao, X., Yang, B. & Iles, I. Effectiveness of cigarette warning labels: examining the impact of graphics, message framing, and temporal framing. Health Commun. 30(1), 81–89 (2015).
pubmed: 24628288
doi: 10.1080/10410236.2013.841531
Weber, E. U. Evidence-based and description-based perceptions of long-term risk: Why global warming does not scare us (yet). Clim. Change 77, 103–120 (2006).
doi: 10.1007/s10584-006-9060-3
Van der Linden, S., Maibach, E. & Leiserowitz, A. Improving public engagement with climate change: Five “best practice” insights from psychological science. Perspect. Psychol. Sci. 10(6), 758–763 (2015).
pubmed: 26581732
doi: 10.1177/1745691615598516
Odum, A. L., Madden, G. J. & Bickel, W. K. Discounting of delayed health gains and losses by current, never-and ex-smokers of cigarettes. Nicotine Tob. Res. 4(3), 295–303 (2002).
pubmed: 12215238
doi: 10.1080/14622200210141257
Becker, G. S. & Murphy, K. M. A theory of rational addiction. J. Polit. Econ. 96(4), 675–700 (1988).
doi: 10.1086/261558
Rogeberg, O. The theory of rational addiction. Addiction 115(1), 184–187 (2020).
pubmed: 31785044
doi: 10.1111/add.14822
Keeler, T. E., Marciniak, M. & Hu, T. W. Rational addiction and smoking cessation: An empirical study. J. Socio-Econ. 28(5), 633–643 (1999).
doi: 10.1016/S1053-5357(99)00038-4
Kan, K. Cigarette smoking and self-control. J. Health Econ. 26(1), 61–81 (2007).
pubmed: 16950529
doi: 10.1016/j.jhealeco.2006.07.002
Gruber, J. & Köszegi, B. Is addiction “rational”? Theory and evidence. Q. J. Econ. 116(4), 1261–1303 (2001).
doi: 10.1162/003355301753265570
Bask, M. & Melkersson, M. Rationally addicted to drinking and smoking?. Appl. Econ. 36(4), 373–381 (2004).
doi: 10.1080/00036840410001674295
Simon, H. A. (1955). A behavioral model of rational choice. Q. J. Econ. 99–118.
Heatherton, T. F., Kozlowski, L. T., Frecker, R. C. & Fagerstrom, K. O. The Fagerström test for nicotine dependence: A revision of the Fagerstrom tolerance questionnaire. Br. J. Addict. 86(9), 1119–1127 (1991).
pubmed: 1932883
doi: 10.1111/j.1360-0443.1991.tb01879.x
Hummel, K. et al. Construct and predictive validity of three measures of intention to quit smoking: Findings from the International Tobacco Control (ITC) Netherlands Survey. Nicotine Tob. Res. 20(9), 1101–1108 (2018).
pubmed: 28472427
doi: 10.1093/ntr/ntx092
Kahler, C. W. et al. The commitment to quitting smoking scale: Initial validation in a smoking cessation trial for heavy social drinkers. Addict. Behav. 32(10), 2420–2424 (2007).
pubmed: 17478057
pmcid: 1986789
doi: 10.1016/j.addbeh.2007.04.002
Marlatt, G. A., Curry, S. & Gordon, J. R. A longitudinal analysis of unaided smoking cessation. J. Consult. Clin. Psychol. 56(5), 715 (1988).
pubmed: 3192787
doi: 10.1037/0022-006X.56.5.715
Fong, G. T. et al. The near-universal experience of regret among smokers in four countries: Findings from the International Tobacco Control Policy Evaluation Survey. Nicotine Tob. Res. 6(3), S341–S351 (2004).
pubmed: 15799597
doi: 10.1080/14622200412331320743
Lazuras, L., Chatzipolychroni, E., Rodafinos, A. & Eiser, J. R. Social cognitive predictors of smoking cessation intentions among smoker employees: The roles of anticipated regret and social norms. Addict. Behav. 37(3), 339–341 (2012).
pubmed: 22154507
doi: 10.1016/j.addbeh.2011.11.008
Vangeli, E. & West, R. Sociodemographic differences in triggers to quit smoking: findings from a national survey. Tob. Control 17(6), 410–415 (2008).
pubmed: 18784155
doi: 10.1136/tc.2008.025650
Turner, L. R. & Mermelstein, R. Motivation and reasons to quit: predictive validity among adolescent smokers. Am. J. Health Behav. 28(6), 542–550 (2004).
pubmed: 15569588
doi: 10.5993/AJHB.28.6.7
Copeland, A. L., Brandon, T. H. & Quinn, E. P. The smoking consequences questionnaire-adult: Measurement of smoking outcome expectancies of experienced smokers. Psychol. Assess. 7(4), 484 (1995).
doi: 10.1037/1040-3590.7.4.484
Stanaway, R. G. & Watson, D. W. Smoking motivation: A factor-analytical study. Pers. Individ. Differ. 1(4), 371–380 (1980).
doi: 10.1016/0191-8869(80)90021-5
Brandon, T. H. & Baker, T. B. The smoking consequences questionnaire: The subjective expected utility of smoking in college students. Psycho. Assess. A J. Consult. Clin. Psychol. 3(3), 484 (1991).
Herd, N., Borland, R. & Hyland, A. Predictors of smoking relapse by duration of abstinence: findings from the International Tobacco Control (ITC) Four Country Survey. Addiction 104(12), 2088–2099 (2009).
pubmed: 19922574
pmcid: 4517970
doi: 10.1111/j.1360-0443.2009.02732.x
Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. Factor analysis. Multivar. Data Anal. NJ Prentice-Hall 3, 98–99 (1998).
Rosseel, Y. lavaan: An R package for structural equation modeling. J. Stat. Softw. 48, 1–36 (2012).
doi: 10.18637/jss.v048.i02
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. ISBN 978-3-319-24277-4, https://ggplot2.tidyverse.org .
Wilke, C.O. (2022). https://cran.r-project.org/web/packages/ggridges/ggridges.pdf
Brown, T. A. Confirmatory Factor Analysis for Applied Research (Guilford Publications, New York, 2015).
Hu, L. T. & Bentler, P. M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. A Multidiscip. J. 6(1), 1–55 (1999).
doi: 10.1080/10705519909540118
Marsh, H. W., Hau, K. T. & Grayson, D. Goodness of fit in structural equation models. In: Contemporary Psychometrics: A Festschrift for Roderick P. McDonald 275–340 (Lawrence Erlbaum Associates Publishers, 2005).
Schellenberg, B. J., Bailis, D. S. & Mosewich, A. D. You have passion, but do you have self-compassion? Harmonious passion, obsessive passion, and responses to passion-related failure. Pers. Individ. Differ. 99, 278–285 (2016).
doi: 10.1016/j.paid.2016.05.003
Kim, H. Y. Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restor. Dent. Endod. 38(1), 52–54 (2013).
pubmed: 23495371
pmcid: 3591587
doi: 10.5395/rde.2013.38.1.52
Spence, A., Poortinga, W. & Pidgeon, N. The psychological distance of climate change. Risk Anal. Int. J. 32(6), 957–972 (2012).
doi: 10.1111/j.1539-6924.2011.01695.x
Sacchi, S., Riva, P. & Aceto, A. Myopic about climate change: Cognitive style, psychological distance, and environmentalism. J. Exp. Soc. Psychol. 65, 68–73 (2016).
doi: 10.1016/j.jesp.2016.03.006
Critchfield, T. S. & Kollins, S. H. Temporal discounting: Basic research and the analysis of socially important behavior. J. Appl. Behav. Anal. 34(1), 101–122 (2001).
pubmed: 11317983
pmcid: 1284292
doi: 10.1901/jaba.2001.34-101
Lakoff, G. The All New Don't Think of an Elephant!: Know Your Values and Frame the Debate (Chelsea Green Publishing, 2014).
Beaudoin, C. E. Exploring antismoking ads: Appeals, themes, and consequences. J. Health Commun. 7, 123–137 (2002).
pubmed: 12049421
doi: 10.1080/10810730290088003
Leshner, G., Bolls, P. & Wise, K. Motivated processing of fear appeal and disgust images in televised anti-tobacco ads. J.Med. Psychol. 23, 77–89 (2011).
doi: 10.1027/1864-1105/a000037
Ruiter, R. A. C., Kessels, L. T. E., Peters, G.-J.Y. & Kok, G. Sixty years of fear appeal research: Current state of the evidence. Int. J. Psychol. 49, 63–70 (2014).
pubmed: 24811876
doi: 10.1002/ijop.12042
Witte, K. & Allen, M. A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Educ. Behav. 27(5), 591–615. https://doi.org/10.1177/109019810002700506 (2000).
doi: 10.1177/109019810002700506
pubmed: 11009129
Mollen, S., Engelen, S., Kessels, L. T. & van den Putte, B. Short and sweet: the persuasive effects of message framing and temporal context in antismoking warning labels. J. Health Commun. 22(1), 20–28 (2017).
pubmed: 27997285
doi: 10.1080/10810730.2016.1247484
Gallagher, K. M. & Updegraff, J. A. Health message framing effects on attitudes, intentions, and behavior: A meta-analytic review. Ann. Behav. Med. 43(1), 101–116. https://doi.org/10.1007/s12160-011-9308-7 (2012).
doi: 10.1007/s12160-011-9308-7
pubmed: 21993844
Rothman, A. J. & Salovey, P. Shaping perceptions to motivate healthy behavior: The role of message framing. Psychol. Bull. 121(1), 3–19. https://doi.org/10.1037/0033-2909.121.1.3 (1997).
doi: 10.1037/0033-2909.121.1.3
pubmed: 9000890
So, J. Counterproductive effects of overfamiliar antitobacco messages on smoking cessation intentions via message fatigue and resistance to persuasion. Psychol. Addict. Behav. Adv. (2021)
Zhao, X. & Peterson, E. Effects of temporal framing on response to antismoking messages: The mediating role of perceived relevance. J. Health Commun. 22(1), 37–44 (2017).
pubmed: 28001492
doi: 10.1080/10810730.2016.1250844
Winston, G. C. Addiction and backsliding: A theory of compulsive consumption. J. Econ. Behav. Organ. 1(4), 295–324 (1980).
doi: 10.1016/0167-2681(80)90009-8
Orphanides, A. & Zervos, D. Rational addiction with learning and regret. J. Polit. Econ. 103(4), 739–758 (1995).
doi: 10.1086/262001
Berridge, K. C. & Robinson, T. E. Liking, wanting, and the incentive-sensitization theory of addiction. Am. Psychol. 71(8), 670 (2016).
pubmed: 27977239
pmcid: 5171207
doi: 10.1037/amp0000059
Chesney, M. & Hazari, B. Irrational entry, rational exit. J. Math. Econ. 29(1), 1–13 (1998).
doi: 10.1016/S0304-4068(97)00010-4
Feng, S. Rationality and self-control: The implications for smoking cessation. J. Socio-Econ. 34(2), 211–222 (2005).
doi: 10.1016/j.socec.2004.09.008
DiGiuseppe, R. A., DiGiuseppe, R., Doyle, K. A., Dryden, W. & Backx, W. A Practitioner’s Guide to Rational-Emotive Behavior Therapy (Oxford University Press, Oxford, 2013).
doi: 10.1093/med:psych/9780199743049.001.0001
MacKinnon, D. P., Fairchild, A. J. & Fritz, M. S. Mediation analysis. Annu. Rev. Psychol. 58, 593–614 (2007).
pubmed: 16968208
pmcid: 2819368
doi: 10.1146/annurev.psych.58.110405.085542
West, R., McEwen, A., Bolling, K. & Owen, L. Smoking cessation and smoking patterns in the general population: A 1-year follow-up. Addiction 96(6), 891–902 (2001).
pubmed: 11399220
doi: 10.1046/j.1360-0443.2001.96689110.x