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Misclassification rates for current smokers misclassified as nonsmokers

Author

Listed:
  • Wells, A.J.
  • English, P.B.
  • Posner, S.F.
  • Wagenknecht, L.E.
  • Perez-Stable, E.J.

Abstract

Objectives. This paper provides misclassification rates for current cigarette smokers who report themselves as nonsmokers. Such rates are important in determining smoker misclassification bias in the estimation of relative risks in passive smoking studies. Methods. True smoking status, either occasional or regular, was determined for individual current smokers in 3 existing studies of nonsmokers by inspecting the cotinine levels of body fluids. The new data, combined with an approximately equal amount in the 1992 Environmental Protection Agency (EPA) report on passive smoking and lung cancer, yielded misclassification rates that not only had lower standard errors but also were stratified by sex and US minority/majority status. Results. The misclassification rates for the important category of female workers misclassified as never smokers were, respectively, 0.8%, 6.0%, 2.8%, and 15.3% for majority regular, majority occasional, US minority regular, and US minority occasional smokers. Misclassification rates for males were mostly somewhat higher. Conclusions. The new information supports EPA's conclusion that smoker misclassification bias is small. Also, investigators are advised to pay attention to minority/majority status of cohorts when correcting for smoker misclassification bias.

Suggested Citation

  • Wells, A.J. & English, P.B. & Posner, S.F. & Wagenknecht, L.E. & Perez-Stable, E.J., 1998. "Misclassification rates for current smokers misclassified as nonsmokers," American Journal of Public Health, American Public Health Association, vol. 88(10), pages 1503-1509.
  • Handle: RePEc:aph:ajpbhl:1998:88:10:1503-1509_8
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    Cited by:

    1. Jasmine N Khouja & Marcus R Munafò & Caroline L Relton & Amy E Taylor & Suzanne H Gage & Rebecca C Richmond, 2020. "Investigating the added value of biomarkers compared with self-reported smoking in predicting future e-cigarette use: Evidence from a longitudinal UK cohort study," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-15, July.
    2. Ellen Meara, 2001. "Why is Health Related to Socioeconomic Status?," NBER Working Papers 8231, National Bureau of Economic Research, Inc.
    3. Sungroul Kim, 2016. "Overview of Cotinine Cutoff Values for Smoking Status Classification," IJERPH, MDPI, vol. 13(12), pages 1-15, December.
    4. Newbold, K. Bruce & Neligan, David, 2012. "Disaggregating Canadian immigrant smoking behaviour by country of birth," Social Science & Medicine, Elsevier, vol. 75(6), pages 997-1005.
    5. Tingzhong Yang & Abu S. Abdullah & Li Li & Ian R. H. Rockett & Yan Lin & Jun Ying & Wei Guo & Dan Wu & Mu Li, 2013. "Public Place Smoke-Free Regulations, Secondhand Smoke Exposure and Related Beliefs, Awareness, Attitudes, and Practices among Chinese Urban Residents," IJERPH, MDPI, vol. 10(6), pages 1-14, June.
    6. Nihaya Al-Sheyab & Khalid A Kheirallah & Linda J Thomson Mangnall & Robyn Gallagher, 2015. "Agreement Between Exhaled Breath Carbon Monoxide Threshold Levels and Self-Reported Cigarette Smoking in a Sample of Male Adolescents in Jordan," IJERPH, MDPI, vol. 12(1), pages 1-14, January.
    7. 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.
    8. Jae Won Hong & Jung Hyun Noh & Dong-Jun Kim, 2018. "The prevalence of and factors associated with urinary cotinine-verified smoking in Korean adults: The 2008–2011 Korea National Health and Nutrition Examination Survey," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-14, June.
    9. Virtanen, Marianna & Kivimäki, Mika & Kouvonen, Anne & Elovainio, Marko & Linna, Anne & Oksanen, Tuula & Vahtera, Jussi, 2007. "Average household income, crime, and smoking behaviour in a local area: The Finnish 10-Town study," Social Science & Medicine, Elsevier, vol. 64(9), pages 1904-1913, May.

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