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Epidemiology and correlates of daily smoking and nicotine dependence among young adults in the United States

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  • Hu, M.-C.
  • Davies, M.
  • Kandel, D.B.

Abstract

Objectives. We describe the epidemiology of smoking behaviors in a national young adult sample and identify common and unique demographic, social, and psychological correlates of daily smoking and lifetime and current nicotine dependence by race/ethnicity. Methods. Data are from the National Longitudinal Survey of Adolescent Health, wave III. Dependence was measured by the Revised Fagerström Test for Nicotine Dependence. Logistic regressions were estimated. Results. Hispanic ethnicity, low education, parental and peer smoking, novelty seeking, early age of smoking onset, and pleasurable initial smoking experiences are significantly correlated with daily smoking and lifetime nicotine dependence. Depressive symptoms are uniquely associated with lifetime and current dependence. Few factors are highly associated with current dependence. Initial sensitivity to smoking has a significantly greater impact on daily smoking than on dependence. Correlates of smoking behaviors are mostly common across racial/ethnic groups, although parental and peer smoking are significant for Whites and Hispanics but not for African Americans. Conclusions. There are more common than unique correlates of each smoking stage and across racial/ethnic groups. Primary prevention and interventions addressing the factors tested could be uniform for most chronic smokers irrespective of dependence status and race/ethnicity.

Suggested Citation

  • Hu, M.-C. & Davies, M. & Kandel, D.B., 2006. "Epidemiology and correlates of daily smoking and nicotine dependence among young adults in the United States," American Journal of Public Health, American Public Health Association, vol. 96(2), pages 299-308.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2004.057232_7
    DOI: 10.2105/AJPH.2004.057232
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    Cited by:

    1. George Gerogiannis & Mark Tranmer & Duncan Lee & Thomas Valente, 2022. "A Bayesian spatio‐network model for multiple adolescent adverse health behaviours," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(2), pages 271-287, March.
    2. Gerhard Gmel & Jacques Gaume & Carole Willi & Pierre-André Michaud & Jacques Cornuz & Jean-Bernard Daeppen, 2010. "Challenging the “Inoffensiveness” of Regular Cannabis Use by Its Associations with Other Current Risky Substance Use—A Census of 20-Year-Old Swiss Men," IJERPH, MDPI, vol. 7(1), pages 1-14, January.
    3. Jason Fletcher, 2012. "The effects of teenage childbearing on the short- and long-term health behaviors of mothers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(1), pages 201-218, January.
    4. Victor Hugo De Oliveira Silva & José Raimundo Carvalho & José Maria Da Cunha Júnior, 2016. "Economic Fluctuations During Pregnancy And Smoking Onset Among Adolescents In Brazil: Evidence From The Pesquisa Nacional De Saúde Do Escolar (Pense)," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 204, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Phoenix Kit-han Mo & Ji-Bin Li & Hui Jiang & Joseph T. F. Lau, 2019. "Problematic Internet Use and Smoking among Chinese Junior Secondary Students: The Mediating Role of Depressive Symptomatology and Family Support," IJERPH, MDPI, vol. 16(24), pages 1-12, December.
    6. Zimmerman, Gregory M. & Rees, Carter, 2014. "Do school disciplinary policies have positive social impacts? Examining the attenuating effects of school policies on the relationship between personal and peer delinquency," Journal of Criminal Justice, Elsevier, vol. 42(1), pages 54-65.

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