IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i17p6419-d408366.html
   My bibliography  Save this article

Do Daily Compensatory Health Beliefs Predict Intention to Quit and Smoking Behavior? A Daily Diary Study during Smoking Cessation

Author

Listed:
  • Melanie A. Amrein

    (Department of Psychology, University of Zurich, Binzmuehlestrasse 14, 8050 Zurich, Switzerland)

  • Janina Lüscher

    (Department of Psychology, University of Zurich, Binzmuehlestrasse 14, 8050 Zurich, Switzerland)

  • Corina Berli

    (Department of Psychology, University of Zurich, Binzmuehlestrasse 14, 8050 Zurich, Switzerland)

  • Theda Radtke

    (School of Psychology and Psychotherapy, Witten/Herdecke University; Alfred-Herrhausen-Straße 45, 58455 Witten, Germany)

  • Urte Scholz

    (Department of Psychology, University of Zurich, Binzmuehlestrasse 14, 8050 Zurich, Switzerland)

Abstract

Compensatory health beliefs (CHBs) are a means to cope with motivational conflicts between intended health goals and the temptation for an unhealthy behavior. As CHBs can fluctuate on a daily basis, this study examined how daily CHBs are associated with daily intention to quit smoking and daily number of cigarettes smoked before and after a quit date at the between- and within-person level. The study comprised a prospective longitudinal design and investigated 83 women and 83 men for 32 consecutive days during an ongoing joint self-set quit attempt. Daily CHBs varied from day to day and between individuals. At the between-person level, higher women’s mean CHBs were associated with lower intention ( b = −0.23, p = 0.04) and at the 10% level with more cigarettes smoked after the quit date (rate ratio (RR) = 1.92, p = 0.07). At the within-person level, women’s higher than usual CHBs were unrelated to intention to quit, but were related to less smoking before (RR = 0.96, p = 0.03) and at the 10% level after the quit date (RR = 0.91, p = 0.09). A marginally positive association between daily CHBs and smoking at the within-person level emerged for men. The negative effect of daily CHBs at the between-person level on smoking seems to unfold after the quit attempt and for women only.

Suggested Citation

  • Melanie A. Amrein & Janina Lüscher & Corina Berli & Theda Radtke & Urte Scholz, 2020. "Do Daily Compensatory Health Beliefs Predict Intention to Quit and Smoking Behavior? A Daily Diary Study during Smoking Cessation," IJERPH, MDPI, vol. 17(17), pages 1-13, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6419-:d:408366
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/17/6419/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/17/6419/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patrick, D.L. & Cheadle, A. & Thompson, D.C. & Diehr, P. & Koepsell, T. & Kinne, S., 1994. "The validity of self-reported smoking: A review and meta-analysis," American Journal of Public Health, American Public Health Association, vol. 84(7), pages 1086-1093.
    2. Peretti-Watel, Patrick & Moatti, Jean-Paul, 2006. "Understanding risk behaviours: How the sociology of deviance may contribute? The case of drug-taking," Social Science & Medicine, Elsevier, vol. 63(3), pages 675-679, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chor-Sum Au-Yeung & Ren-Fang Chao & Li-Yun Hsu, 2021. "Why It Is Difficult for Military Personnel to Quit Smoking: From the Perspective of Compensatory Health Beliefs," IJERPH, MDPI, vol. 18(22), pages 1-13, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Frank Stafford, 2009. "Emerging Modes of Timeline Data Collection: Event History Calendar Time Diary and Methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 69-76, August.
    2. DeCicca, Philip & Kenkel, Don & Mathios, Alan, 2008. "Cigarette taxes and the transition from youth to adult smoking: Smoking initiation, cessation, and participation," Journal of Health Economics, Elsevier, vol. 27(4), pages 904-917, July.
    3. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    4. Muxing Xie & Chunrong Jia & Yawei Zhang & Beibei Wang & Ning Qin & Suzhen Cao & Liyun Zhao & Dongmei Yu & Xiaoli Duan, 2020. "Household Exposure to Secondhand Smoke among Chinese Children: Status, Determinants, and Co-Exposures," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
    5. Nakata, Akinori & Ikeda, Tomoko & Takahashi, Masaya & Haratani, Takashi & Hojou, Minoru & Fujioka, Yosei & Araki, Shunichi, 2006. "Non-fatal occupational injury among active and passive smokers in small- and medium-scale manufacturing enterprises in Japan," Social Science & Medicine, Elsevier, vol. 63(9), pages 2452-2463, November.
    6. Mariliis Põld & Kersti Pärna, 2020. "Nicotine Dependence and Factors Related to Smoking Cessation among Physicians in Estonia," IJERPH, MDPI, vol. 17(9), pages 1-10, May.
    7. James Langenbucher & Jeffrey Merrill, 2001. "The Validity of Self-Reported Cost Events by Substance Abusers," Evaluation Review, , vol. 25(2), pages 184-210, April.
    8. Jun, Hee-Jin & Acevedo-Garcia, Dolores, 2007. "The effect of single motherhood on smoking by socioeconomic status and race/ethnicity," Social Science & Medicine, Elsevier, vol. 65(4), pages 653-666, August.
    9. Fred Pampel & Justin Denney, 2011. "Cross-National Sources of Health Inequality: Education and Tobacco Use in the World Health Survey," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 653-674, May.
    10. Jesse D. Raffa & Joel A. Dubin, 2015. "Multivariate longitudinal data analysis with mixed effects hidden Markov models," Biometrics, The International Biometric Society, vol. 71(3), pages 821-831, September.
    11. DeCicca, Philip & Kenkel, Donald & Liu, Feng, 2013. "Excise tax avoidance: The case of state cigarette taxes," Journal of Health Economics, Elsevier, vol. 32(6), pages 1130-1141.
    12. Adrianna Bella & Temesgen Kifle & Kam Ki Tang, 2021. "Smoke gets in your shape: The effects of smoking on body weight in Indonesia," Discussion Papers Series 646, School of Economics, University of Queensland, Australia.
    13. Qing Wang & Jay J Shen & Michelle Sotero & Casey A Li & Zhiyuan Hou, 2018. "Income, occupation and education: Are they related to smoking behaviors in China?," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-17, February.
    14. Bell, Kirsten & Keane, Helen, 2014. "All gates lead to smoking: The ‘gateway theory’, e-cigarettes and the remaking of nicotine," Social Science & Medicine, Elsevier, vol. 119(C), pages 45-52.
    15. Erik Nesson, 2017. "The Impact of Tobacco Control Policies on Adolescent Smoking: Comparing Self-Reports and Biomarkers," American Journal of Health Economics, University of Chicago Press, vol. 3(4), pages 507-527, Fall.
    16. Rosemary Avery & Donald Kenkel & Dean R. Lillard & Alan Mathios, 2007. "Private Profits and Public Health: Does Advertising of Smoking Cessation Products Encourage Smokers to Quit?," Journal of Political Economy, University of Chicago Press, vol. 115(3), pages 447-481.
    17. Alys Havard & Louisa R Jorm & Sanja Lujic, 2014. "Risk Adjustment for Smoking Identified through Tobacco Use Diagnoses in Hospital Data: A Validation Study," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    18. Amy Bergenwall & E. Kelloway & Julian Barling, 2014. "Odd Jobs, Bad Habits, and Ethical Implications: Smoking-Related Outcomes of Children’s Early Employment Intensity," Journal of Business Ethics, Springer, vol. 122(2), pages 269-282, June.
    19. Keyes, Katherine M. & Vo, Thomas & Wall, Melanie M. & Caetano, Raul & Suglia, Shakira F. & Martins, Silvia S. & Galea, Sandro & Hasin, Deborah, 2015. "Racial/ethnic differences in use of alcohol, tobacco, and marijuana: Is there a cross-over from adolescence to adulthood?," Social Science & Medicine, Elsevier, vol. 124(C), pages 132-141.
    20. Michelle DiGiacomo & Patricia M. Davidson & Penelope A. Abbott & Joyce Davison & Louise Moore & Sandra C. Thompson, 2011. "Smoking Cessation in Indigenous Populations of Australia, New Zealand, Canada, and the United States: Elements of Effective Interventions," IJERPH, MDPI, vol. 8(2), pages 1-23, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6419-:d:408366. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.