Volume 1, Issue 1 (April 2016)

Original research papers

Radon and Thoron


A. Onishchenko, A. Varaksin, I. Yarmoshenko, M. Zhukovsky

Pages: 81-87

DOI: 10.21175/RadJ.2016.01.15

Received: 14 MAR 2015, Received revised: 07 APR 2015, Accepted: 10 APR 2015, Published Online: 28 APR 2016

The possible influence of errors of radon exposure assessment on the results of planned national case-control study has been analyzed. It is demonstrated that, in general, the errors are classical multiplicative errors. It is demonstrated that the classical multiplicative errors of radon concentration measurement are not constant in all radon concentration ranges. At low radon concentrations, the additional influence of Poisson error on the measurement result should be considered. The modeling of the influence of errors of radon exposure assessment on slope factor of the dependence of lung cancer incidence on radon concentration in dwellings was conducted. It was shown that the expected level of radon exposure errors can reduce the observed value of slope coefficient at least twice in comparison with the original value for error-free study. The correction of the results of linear assessment of exposure-effect slope coefficient under the influence of measurement errors was realized by regression calibration technique and SIMEX extrapolation method. Regression calibration method gives the best results in restoring the original unbiased value of exposure-effect slope coefficient. The SIMEX method also allows the obtainment of the good assessment of expected value of the slope of exposure-effect dependence, but it should be noted that this method may lead to the underestimation of the real value of slope coefficient. An additional and the most powerful source of error in the radon epidemiological studies is the influence of smoking and the correlation between smoking status and radon concentration in dwellings. The modeling results demonstrated that maximum attention should be paid to the stratification by smoking status and other possible factors simultaneously influencing radon concentration in dwellings and lung cancer incidence.
  1. S. Darby et al., “Residential Radon and Lung Cancer: Detailed Results of a Collaborative Analysis of Individual Data on 7148 Subjects with Lung Cancer and 14208 Subjects without Lung Cancer from 13 Epidemiologic Studies in Europe,” Scand. J. Work. Environ. Health, vol. 32, suppl. 1, pp. 1-83, 2006.
  2. S.X. Yao et al., “Exposure to Radon Progeny, Tobacco use and Lung Cancer in a Case–Control Study in Southern China,” Radiat. Res., vol. 138, no. 3, pp. 326–336, 1994.
    DOI: 10.1016/0169-5002(95)96279-5
  3. J. H. Lubin et al. “Risk of Lung Cancer and Residential Radon in China: Pooled Results of two Studies”, Int. J. Cancer, vol. 109, no. 1, pp. 132–137, Mar. 2004.
    DOI: 10.1002/ijc.11683
  4. D. Krewski et al., “Residential Radon and Risk of Lung Cancer: a Combined Analysis of 7 North American Case-Control Studies,” Epidemiology, vol. 16, no. 2, pp.137-145, Mar. 2005.
    DOI: 10.1097/01.ede.0000152522.80261.e3
  5. J.H. Lubin, J.D. Boice Jr. and J.M. Samet, “Errors in Exposure Assessment, Statistical Power and the Interpretation of Residential Radon Studies,” Radiat. Res., vol. 144, pp. 329–341, Dec. 1995.
    DOI: 10.2307/3578953
  6. Е.В. Ползик, В.Л. Лежнин и В.С. Казанцев, “К проблеме оценки влияния радона на развитие рака легких,” Радиационн. биол.Радиоэк., т. 44, № 2, c. 207-215, 2004. (E.V. Polzik, V.L. Lezhnin and V.S. Kazantsev, “Towards the Issue of Evaluating the Radon Effects on Lung Cancer,” Radiat. Biol. Radioecol., vol. 44, no. 2, pp. 207-215, 2004.)
  7. V.L. Lezhnin, E.V. Polzik, V.S. Kazantsev, M.V. Zhukovsky and O.A. Pakholkina, “A Multifactorial Assessment of Carcinogenic Risks of Radon for the Population Residing in a Russian Radon Hazard Zone,” Arch. Oncol., vol. 19, no. 1-2, pp. 3-8, 2011.
    DOI: 10.2298/AOO1102003L
  8. M. Zhukovsky, A. Varaksin and O. Pakholkina “Statistical Analysis of Observational Study of the Influence of Radon and Other Risk Factors on Lung Cancer Incidence,” Rad. Prot. Dosim., vol. 160, no. 1-3, pp. 108-111, 2014.
    DOI: 10.1093/rpd/ncu069
  9. Y. Yamada et al., “Radon–Thoron Discriminative Measurements in Gansu Province, China, and their Implication for Dose Estimates,” J. Toxicol. Environ. Health, Pt. A, vol. 69, no.7, pp. 723–734, 2006.
  10. T. Fearn, D.C. Hill and S.C. Darby, “Measurement Error in the Explanatory Variable of a Binary Regression: Regression Calibration and Integrated Conditional Likelihood in Studies of Residential Radon and Lung Cancer”, Dept. of Statist. Sci., Univ. College London, England, Research Rep. 280, Oct. 2007.
    DOI: 10.1002/sim.3163
  11. “European Detailed Mortality Database (DMDB),” World Health Organization, Regional Office for Europe. Retrieved from: http://data.euro.who.int/dmdb/; Retrieved on: 2014.
  12. R. Peto, A.D. Lopez, J. Boreham, M. Thun and C. Heath Jr., “Mortality from Tobacco in Developed Countries: Indirect Estimation from National Vital Statistics,” Lancet, vol. 339, pp. 1268-1278, May 1992.
    DOI: 10.1016/0140-6736(92)91600-D
  13. C.B. Howarth, “Results of the 2006 Health Protection Agency Intercomparison of Passive Radon Detectors,” Health Protection Agency, 1st ed., Chilton, UK, 2007[T1], HPA-RPD-053.
  14. C.B. Howarth, “Results of the 2007 Health Protection Agency Intercomparison of Passive Radon Detectors,” Health Protection Agency, Chilton, UK, Nov. 2009, HPA-RPD-060
  15. Z. Daraktchieva, C.B. Howarth and R. Algar “Results of the 2011 HPA Intercomparison of Passive Radon Detectors,” Health Protection Agency, Chilton, UK, May 2012, HPA-CRCE-033.
  16. B.S. Cohen, “Variation of Radon Levels in U.S. Homes Correlated with House Characteristics, Location, and Socioeconomic Factors,” Health Phys., vol. 60, no. 5, pp. 631-642, May 1991.
    DOI: 10.1097/00004032-199105000-00001
  17. Z.S. Zunic et al., “Radon Survey in the High Natural Radiation Region of Niska Banja, Serbia,” J. Environ. Radioact., vol. 92, no. 3, pp. 165 – 174, 2007.
    DOI: 10.1016/j.jenvrad.2006.11.002
  18. J.R. Cook and L.A. Stefanski, “Simulation-Extrapolation Simulation in Parametric Measurement Error Models,” J. Amer. Stat. Asso., vol. 89, no. 428, pp. 1314-1328, Dec. 1994.
    DOI: 10.2307/2290994