IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i4p1695-d497016.html
   My bibliography  Save this article

Sex Difference in the Association between Electronic Cigarette Use and Subsequent Cigarette Smoking among U.S. Adolescents: Findings from the PATH Study Waves 1–4

Author

Listed:
  • Zongshuan Duan

    (School of Public Health, Georgia State University, Atlanta, GA 30303, USA)

  • Yu Wang

    (School of Public Health, Georgia State University, Atlanta, GA 30303, USA)

  • Jidong Huang

    (School of Public Health, Georgia State University, Atlanta, GA 30303, USA)

Abstract

E-cigarettes are the most-used tobacco products among U.S. adolescents. Emerging evidence suggests that adolescents using e-cigarettes are at elevated risk for initiating cigarette smoking. However, whether this risk may differ by sex remains unknown. This study analyzed data from Wave 1 to 4 of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative longitudinal survey. Generalized estimation equations (GEE) were performed to estimate the associations between baseline e-cigarette use and subsequent cigarette smoking, controlling for sociodemographic characteristics, mental health conditions, and other tobacco use. Effect modifications by sex were examined. Multivariate analyses showed that, among baseline never cigarette smokers, past-30-day e-cigarette use at baseline waves was significantly associated with past-30-day cigarette smoking at follow-up waves (aOR = 3.90, 95% CI: 2.51–6.08). This association was significantly stronger for boys (aOR = 6.17, 95% CI: 2.43–15.68) than for girls (aOR = 1.10, 95% CI: 0.14–8.33). Additionally, using other tobacco products, older age, and having severe externalizing mental health problems at baseline were significantly associated with an increased likelihood of cigarette smoking at follow-up. The prospective association between e-cigarette use and cigarette smoking differs by sex among U.S. adolescents. Sex-specific tobacco control interventions may be warranted to curb the youth tobacco use epidemic.

Suggested Citation

  • Zongshuan Duan & Yu Wang & Jidong Huang, 2021. "Sex Difference in the Association between Electronic Cigarette Use and Subsequent Cigarette Smoking among U.S. Adolescents: Findings from the PATH Study Waves 1–4," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1695-:d:497016
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/4/1695/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/4/1695/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Waldron, Ingrid, 1991. "Patterns and causes of gender differences in smoking," Social Science & Medicine, Elsevier, vol. 32(9), pages 989-1005, January.
    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. Yu Wang & Zongshuan Duan & Scott R. Weaver & Lucy Popova & Claire A. Spears & David L. Ashley & Terry F. Pechacek & Michael P. Eriksen & Jidong Huang, 2022. "Consumption of JUUL vs. Other E-Cigarette Brands among U.S. E-Cigarette Users: Evidence from Wave 5 of the PATH Study," IJERPH, MDPI, vol. 19(17), pages 1-12, August.

    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. Yang, Tingzhong & Barnett, Ross & Jiang, Shuhan & Yu, Lingwei & Xian, Hong & Ying, Jun & Zheng, Weijun, 2016. "Gender balance and its impact on male and female smoking rates in Chinese cities," Social Science & Medicine, Elsevier, vol. 154(C), pages 9-17.
    2. Zakharov, Nikita, 2020. "The protective effect of smoking against COVID-19: A population-based study using instrumental variables," MPRA Paper 101267, University Library of Munich, Germany.
    3. Kilic, Dilek & Ozturk, Selcen, 2014. "Gender differences in cigarette consumption in Turkey: Evidence from the Global Adult Tobacco Survey," Health Policy, Elsevier, vol. 114(2), pages 207-214.
    4. Thomas Bauer & Silja Göhlmann & Mathias Sinning, 2007. "Gender differences in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 895-909, September.
    5. Jonathan Daw & Jason Boardman & Kathryn Nowotny, 2013. "Changing Patterns of Tobacco and Alcohol Co-Use by Gender in the United States, 1976-2010," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(22), pages 637-648.
    6. Schaap, Maartje M. & Kunst, Anton E. & Leinsalu, Mall & Regidor, Enrique & Espelt, Albert & Ekholm, Ola & Helmert, Uwe & Klumbiene, Jurate & Mackenbach, Johan P., 2009. "Female ever-smoking, education, emancipation and economic development in 19 European countries," Social Science & Medicine, Elsevier, vol. 68(7), pages 1271-1278, April.
    7. Jiaan Zhang & Liyun Wu, 2015. "Cigarette Smoking and Alcohol Consumption among Chinese Older Adults: Do Living Arrangements Matter?," IJERPH, MDPI, vol. 12(3), pages 1-26, February.
    8. Eiji Yamamura, 2016. "Effects of Female Labor Participation on Smoking Behavior in Japan: Selection Model Approach," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 59(3), pages 1-18.
    9. Pierre Koning & Dinand Webbink & Nicholas Martin, 2015. "The effect of education on smoking behavior: new evidence from smoking durations of a sample of twins," Empirical Economics, Springer, vol. 48(4), pages 1479-1497, June.
    10. Wonhyung Lee & Andrew Grogan-Kaylor & Guillermo Sanhueza & Fernando Andrade & Jorge Delva, 2014. "The association of recreational space with youth smoking in low-socioeconomic status neighborhoods in Santiago, Chile," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(1), pages 87-94, February.
    11. Quirmbach, Diana & Gerry, Christopher J., 2016. "Gender, education and Russia’s tobacco epidemic: A life-course approach," Social Science & Medicine, Elsevier, vol. 160(C), pages 54-66.
    12. 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.
    13. Jun Hyun Hwang & Jong Yeon Kim & Do Hoon Lee & Hye Gyoun Jung & Soon-Woo Park, 2018. "Underestimation of Self-Reported Smoking Prevalence in Korean Adolescents: Evidence from Gold Standard by Combined Method," IJERPH, MDPI, vol. 15(4), pages 1-10, April.
    14. Ingrid Waldron & Christopher McCloskey & Inga Earle, 2005. "Trends in gender differences in accidents mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(17), pages 415-454.
    15. Albert Hermalin & Deborah Lowry, 2012. "The Decline of Smoking Among Female Birth Cohorts in China in the 20th Century: A Case of Arrested Diffusion?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(4), pages 545-570, August.
    16. Zajacova, Anna, 2006. "Education, gender, and mortality: Does schooling have the same effect on mortality for men and women in the US?," Social Science & Medicine, Elsevier, vol. 63(8), pages 2176-2190, October.
    17. Yamamura, Eiji, 2010. "Effects of Female Labor Participation and Marital Status on Smoking Behavior in Japan," MPRA Paper 21789, University Library of Munich, Germany.
    18. L. Daniel Staetsky & Andrew Hinde, 2009. "Unusually small sex differentials in mortality of Israeli Jews: What does the structure of causes of death tell us?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(11), pages 209-252.
    19. Fomba Kamga, Benjamin & Kengne Kamga, Arline & Audibert, Martine, 2013. "Health and Labour Income of Wage Earners and Self-Employed Workers in Cameroon," IZA Discussion Papers 7324, Institute of Labor Economics (IZA).
    20. Murakami, Keiko & Hashimoto, Hideki & Lee, Jung Su & Kawakubo, Kiyoshi & Mori, Katsumi & Akabayashi, Akira, 2011. "Distinct impact of education and income on habitual exercise: A cross-sectional analysis in a rural city in Japan," Social Science & Medicine, Elsevier, vol. 73(12), pages 1683-1688.

    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:18:y:2021:i:4:p:1695-:d:497016. 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.