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Time preferences, socioeconomic status and smokers' behaviour, attitudes and risk awareness

Author

Listed:
  • Patrick Peretti-Watel

    (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD - Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale - IRD - Institut de Recherche pour le Développement - AMU - Aix Marseille Université - INSERM - Institut National de la Santé et de la Recherche Médicale)

  • Olivier L’haridon

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Valérie Seror

    (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD - Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale - IRD - Institut de Recherche pour le Développement - AMU - Aix Marseille Université - INSERM - Institut National de la Santé et de la Recherche Médicale)

Abstract

Background: Tobacco control policies have succeeded in reducing tobacco use, but the negative correlation between smoking prevalence and socioeconomic status (SES) has increased. This study focused on the relationships between time preferences, SES, and smoking behaviour, attitudes and risk awareness. Methods: A cross-sectional telephone survey was conducted in France in 2008 on a representative national sample of people aged 18-75 (N = 2000, including 621 smokers) years. Two scales measuring planning horizon and impulsivity and various indicators of SES were introduced into the logistic regressions performed on smoking status and smokers' attitudes to anti-smoking campaigns, quitting attempts, attempts to quit or smoke less, fear of smoking-related cancer and risk perception. Results: Indicators of lower SES and smoking status were correlated with present time orientation and impulsivity. On modelling smoking status, time orientation and lower SES were found to be significant predictors. Among smokers, lower SES and present time orientation were predictive of smoking-related outcomes: little personal concern with anti-tobacco campaigns, not reporting recent behavioural changes, not expressing personal fear of smoking-related cancer and low risk awareness. When time-related preferences were introduced into the analysis, the effects of several lower SES indicators (especially a low educational level) became non-significant. Conclusion: The relationship between SES and smoking behaviour, attitudes and beliefs may be partly mediated by time preferences. Time preference is strongly correlated with smoking status, risk perceptions and attitudes towards anti-smoking campaigns. Tobacco control policies should include messages targeting present time-oriented smokers and/or interventions designed to enhance more future-oriented attitudes among smokers.

Suggested Citation

  • Patrick Peretti-Watel & Olivier L’haridon & Valérie Seror, 2013. "Time preferences, socioeconomic status and smokers' behaviour, attitudes and risk awareness," Post-Print halshs-00801330, HAL.
  • Handle: RePEc:hal:journl:halshs-00801330
    DOI: 10.1093/eurpub/cks189
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    Citations

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    Cited by:

    1. Takagi, Daisuke & Kondo, Naoki & Takada, Misato & Hashimoto, Hideki, 2016. "Educational attainment, time preference, and health-related behaviors: A mediation analysis from the J-SHINE survey," Social Science & Medicine, Elsevier, vol. 153(C), pages 116-122.
    2. Hermann Pythagore Pierre Donfouet & Shukri F. Mohamed & Eric Malin, 2021. "Socioeconomic inequality in tobacco use in Kenya: a concentration analysis," International Journal of Health Economics and Management, Springer, vol. 21(2), pages 247-269, June.
    3. Bénédicte Apouey, 2018. "Les attentes en termes de services pour les seniors : le rôle de l’altruisme et de l’anticipation de la dépendance," Revue française d'économie, Presses de Sciences-Po, vol. 0(2), pages 15-74.
    4. Bénédicte Apouey, 2019. "Intérêt des adhérents d'une mutuelle pour des services utilisant leurs données personnelles dans le cadre de la médecine personnalisée," PSE Working Papers halshs-02295392, HAL.
    5. Prentice, Carla & McKillop, Donal & French, Declan, 2017. "How financial strain affects health: Evidence from the Dutch National Bank Household Survey," Social Science & Medicine, Elsevier, vol. 178(C), pages 127-135.
    6. Trevisan, Elisabetta & Zantomio, Francesca, 2016. "The impact of acute health shocks on the labour supply of older workers: Evidence from sixteen European countries," Labour Economics, Elsevier, vol. 43(C), pages 171-185.
    7. Apouey, Bénédicte H., 2018. "Preparation for old age in France: The roles of preferences and expectations," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 15-23.
    8. Kossova, Tatiana & Kossova, Elena & Sheluntcova, Maria, 2018. "Anti-smoking policy in Russia: Relevant factors and program planning," Evaluation and Program Planning, Elsevier, vol. 69(C), pages 43-52.
    9. Silvia Angerer & Christian Waibel & Harald Stummer, 2019. "Discrimination in Health Care: A Field Experiment on the Impact of Patients’ Socioeconomic Status on Access to Care," American Journal of Health Economics, MIT Press, vol. 5(4), pages 407-427, Fall.
    10. Philipp Huebler & Andreas Kucher, 2016. "Ashes to ashes, time to time - Parental time discounting and its role in the intergenerational transmission of smoking," Discussion Paper Series 326, Universitaet Augsburg, Institute for Economics.

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