Volume 10 Supplement 1

Canadian Society of Allergy and Clinical Immunology Annual Scientific Meeting 2013

Open Access

Comparison of questionnaire responses with biomarkers of tobacco smoke exposure in a Canadian birth cohort at three months of age

  • Kathleen McLean1Email author,
  • Bruce Lanphear1,
  • Amanda J Wheeler2,
  • Jeff Brook3,
  • James Scott4,
  • Ryan Allen1,
  • Michael Brauer5,
  • Malcolm Sears6,
  • Padmaja Subbarao7,
  • Stuart Turvey8,
  • Allan Becker9,
  • Piush Mandhane10 and
  • Tim Takaro1
Allergy, Asthma & Clinical Immunology201410(Suppl 1):A60

https://doi.org/10.1186/1710-1492-10-S1-A60

Published: 3 March 2014

Background

Exposure to tobacco smoke increases the risk for several adverse health effects in children including wheeze, asthma, and asthma exacerbation [1, 2]. Accurately assessing tobacco smoke exposure is important for understanding and preventing these health effects. Questionnaires are a flexible and relatively inexpensive method of assessing exposure, but biomarkers of tobacco smoke exposure are considered more accurate. We developed questionnaire-based exposure models predicting urinary levels of biomarkers cotinine and trans-3’-hydroxycotinine (3HC) (metabolites of nicotine) in 3-month old infants using parent-reported questionnaire responses about tobacco smoke exposure from the Canadian Healthy Infant Longitudinal Development (CHILD) Study.

Methods

We used a manual model building process to build multiple linear regression models predicting urinary concentrations of cotinine, 3HC, and the sum of cotinine and 3HC on a molar basis (Cot+3HC) for 987, 1003, and 983 infants, respectively. Questions were included on the infant’s exposure assessed at 3 months of age and tobacco smoke odour in the home. We also included questions on maternal smoking status and history, passive exposure, and family socio-economic status assessed during pregnancy, as potential indirect measures of the infant’s exposure at 3 months. Adjusted R2 values were maximized in the final models.

Results

During pregnancy, the prevalence of maternal smoking was 2.4 %, and 115 (11.4 %) mothers reported smoking by at least 1 person at home. Of the 144 (14.3 %) infants whose mothers reported that smoking occurred at home when their child was 3 months, 129 (89.6%) and 136 (94.4%) had cotinine and 3HC levels above the detection limit (0.03 ng/mL), respectively. Of the 811 infants who had no parent-reported exposure at 3 months, 538 (66.3%) and 715 (88.2%) had detectable cotinine and 3HC levels, respectively. After correcting for urine dilution, the geometric mean levels were 0.085 ng/mL for cotinine, 0.20 ng/mL for 3HC, and 1.62 picomole/mL for Cot+3HC. The final questionnaire models explained 43.4%, 41.0%, and 42.9% of the variance in cotinine, 3HC, and Cot+3HC levels, respectively.

Conclusions

Our results indicate that exposure of these infants to tobacco smoke is not completely captured by questionnaires, suggesting that exposure assessment could be improved by using a combination of biomarker and questionnaire methods. Though more detectable, the inclusion of 3HC did not increase the ability of the questionnaires to explain variance in metabolite levels, but 3HC may be important since the ratio of 3HC to cotinine can be used to quantify the rate of nicotine metabolism and variation within populations [3, 4].

Authors’ Affiliations

(1)
Faculty of Health Sciences, Simon Fraser University
(2)
Air Health Science Division, Health Canada
(3)
Air Quality Research Division, Environment Canada
(4)
Dalla Lana School of Public Health, University of Toronto
(5)
School of Population and Public Health, University of British Columbia
(6)
Department of Medicine, McMaster University
(7)
Department of Pediatrics, Hospital for Sick Children
(8)
Department of Pediatrics, University of British Columbia
(9)
Department of Pediatrics & Child Health, University of Manitoba
(10)
Faculty of Medicine and Dentistry, University of Alberta

References

  1. Committee on the Assessment of Asthma and Indoor Air, Division of Health Promotion and Disease Prevention, Institute of Medicine: Clearing the Air: Asthma and Indoor Air Exposures. 2000, Washington, DC: National Academy PressGoogle Scholar
  2. U.S. Department of Health and Human Services: The Health Consequences of Involuntary Exposure to Tobacco Smoke. A Report of the Surgeon General. 2006, Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Coordinating Center for Health Promotion, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, [Publications and Reports of the Surgeon General]Google Scholar
  3. Dempsey D, Tutka P, Jacob P, Allen F, Schoedel K, Tyndale RF, Benowitz NL: Nicotine metabolite ratio as an index of cytochrome P450 2A6 metabolic activity. Clin Pharmacol Ther. 2004, 76: 64-72.View ArticlePubMedGoogle Scholar
  4. Johnstone E, Benowitz N, Cargill A, Jacob R, Hinks L, Day I, Murphy M, Walton R: Determinants of the rate of nicotine metabolism and effects on smoking behavior. Clin Pharmacol Ther. 2006, 80: 319-330.View ArticlePubMedGoogle Scholar

Copyright

© McLean et al; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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