Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

Time-dependent Effect Of Intensity Of Smoking And Of Occupational Exposure To Asbestos On The Risk Of Lung Cancer: Results From The ICARE Case–control Study

Emilie Lévêque, A. Lacourt, D. Luce, M. Sylvestre, P. Guénel, I. Stücker, K. Leffondré
Published 2018 · Medicine

Save to my Library
Download PDF
Analyze on Scholarcy
Share
Objective To estimate the impact of intensity of both smoking and occupational exposure to asbestos on the risk of lung cancer throughout the whole exposure history. Methods Data on 2026 male cases and 2610 male controls came from the French ICARE (Investigation of occupational and environmental causes of respiratory cancers) population-based, case–control study. Lifetime smoking history and occupational history were collected from standardised questionnaires and face-to-face interviews. Occupational exposure to asbestos was assessed using a job exposure matrix. The effects of annual average daily intensity of smoking (reported average number of cigarettes smoked per day) and asbestos exposure (estimated average daily air concentration of asbestos fibres at work) were estimated using a flexible weighted cumulative index of exposure in logistic regression models. Results Intensity of smoking in the 10 years preceding diagnosis had a much stronger association with the risk of lung cancer than more distant intensity. By contrast, intensity of asbestos exposure that occurred more than 40 years before diagnosis had a stronger association with the risk of lung cancer than more recent intensity, even if intensity in the 10 years preceding diagnosis also had a significant effect. Conclusion Our results illustrate the dynamic of the effect of intensity of both smoking and occupational exposure to asbestos on the risk of lung cancer. They confirm that the timing of exposure plays an important role, and suggest that standard analytical methods assuming equal weights of intensity over the whole exposure history may be questionable.
This paper references
10.1093/AJE/155.11.1016
Low-dose exposure to asbestos and lung cancer: dose-response relations and interaction with smoking in a population-based case-referent study in Stockholm, Sweden.
P. Gustavsson (2002)
10.1097/00001648-199309000-00010
The Effect of Age at Smoking Initiation on Lung Cancer Risk
K. Hegmann (1993)
10.1016/J.JCLINEPI.2004.02.014
A flexible modeling approach to estimating the component effects of smoking behavior on lung cancer.
B. Rachet (2004)
10.1093/aje/kwt273
Effect modification of the association of cumulative exposure and cancer risk by intensity of exposure and time since exposure cessation: a flexible method applied to cigarette smoking and lung cancer in the SYNERGY Study.
Jelle Vlaanderen (2014)
10.1080/19338244.2013.863752
Occupational Asbestos Exposure and Lung Cancer—A Systematic Review of the Literature
Lene Snabe Nielsen (2014)
rP, et al. the effect of age at smoking initiation on lung cancer risk
Hegmann Kt (1993)
10.1158/1055-9965.EPI-06-0032
Serum Cotinine Level as Predictor of Lung Cancer Risk
P. Boffetta (2006)
10.1136/oem.59.9.575
Occupational exposure assessment in case–control studies: opportunities for improvement
K. Teschke (2002)
cigarette Smoking and lung cancer: Modeling total exposure and intensity. Cancer Epidemiology Biomarkers & Prevention 2006;15:517–23
JH 34lubin (2006)
10.1002/sim.3354
Using tensor product splines in modeling exposure-time-response relationships: application to the Colorado Plateau Uranium Miners cohort.
K. Berhane (2008)
10.1002/sim.3701
Flexible modeling of the cumulative effects of time-dependent exposures on the hazard.
M. Sylvestre (2009)
10.1007/s10654-016-0182-2
Quantifying the mediating effects of smoking and occupational exposures in the relation between education and lung cancer: the ICARE study
G. Menvielle (2016)
10.1093/annhyg/mer067
Matgéné: a program to develop job-exposure matrices in the general population in France.
J. Févotte (2011)
10.1136/oem.2006.031005
Follow-up study of chrysotile textile workers: cohort mortality and exposure-response
M. Hein (2007)
10.1002/sim.4007
Flexible modeling of the cumulative effects of time-dependent exposures on the hazard.
M. Hauptmann (2011)
10.1136/oem.2011.064899
Exposure–response relationship between chrysotile exposure and mortality from lung cancer and asbestosis
Q. Deng (2011)
10.1093/aje/kwq387
Hierarchical latency models for dose-time-response associations.
D. Richardson (2011)
10.1093/AJE/KWF122
Modeling smoking history: a comparison of different approaches.
K. Leffondré (2002)
10.1136/oem.2010.059790
Cancer incidence within a cohort occupationally exposed to asbestos: a study of dose–response relationships
B. Clin (2011)
10.1111/J.0006-341X.2000.01105.X
Analysis of exposure-time-response relationships using a spline weight function.
M. Hauptmann (2000)
10.1158/1055-9965.EPI-04-0756
Multistage Carcinogenesis and Lung Cancer Mortality in Three Cohorts
W. Hazelton (2005)
10.1097/EDE.0b013e31826c3149
Regression Models for the Effects of Exposure Rate and Cumulative Exposure
D. Richardson (2012)
10.1097/EDE.0000000000000604
Exposure–Response Analyses of Asbestos and Lung Cancer Subtypes in a Pooled Analysis of Case–Control Studies
A. Olsson (2017)
Keaney rP, et al. the effect of age at smoking initiation on lung cancer risk
Hegmann Kt (1993)
10.1093/aje/kwt309
Accounting for outcome misclassification in estimates of the effect of occupational asbestos exposure on lung cancer death.
J. Edwards (2014)
10.1158/1055-9965.EPI-05-0863
Cigarette Smoking and Lung Cancer: Modeling Total Exposure and Intensity
J. Lubin (2006)
10.1136/oemed-2011-100229
Lung cancer mortality in North Carolina and South Carolina chrysotile asbestos textile workers
L. Elliott (2012)
10.1093/aje/kwr260
Lagging exposure information in cumulative exposure-response analyses.
D. Richardson (2011)
10.1186/1471-2458-11-928
Investigation of occupational and environmental causes of respiratory cancers (ICARE): a multicenter, population-based case-control study in France
D. Luce (2011)
10.1136/oem.2008.044362
Lung cancer mortality and fibre exposures among North Carolina asbestos textile workers
D. Loomis (2009)
Levelling-off of the risk of lung and bladder cancer in heavy smokers: an analysis based on multicentric case-control studies and a metabolic interpretation.
P. Vineis (2000)
10.1002/SIM.2680
Modelling smoking history using a comprehensive smoking index: application to lung cancer.
K. Leffondré (2006)
10.1136/oemed-2016-104133
Dose-time-response association between occupational asbestos exposure and pleural mesothelioma
A. Lacourt (2017)
10.1002/AJIM.10020
The exposure-time-response relationship between occupational asbestos exposure and lung cancer in two German case-control studies.
M. Hauptmann (2002)
10.1002/1097-0258(20000830)19:16<2185::AID-SIM528>3.0.CO;2-I
The use of sliding time windows for the exploratory analysis of temporal effects of smoking histories on lung cancer risk.
M. Hauptmann (2000)
10.1093/annhyg/meq089
The effect of smoking on the risk of lung cancer mortality for asbestos workers in Great Britain (1971-2005).
G. Frost (2011)
10.1183/09031936.00005111
Temporal patterns of occupational asbestos exposure and risk of pleural mesothelioma
A. Lacourt (2011)
10.5271/SJWEH.36
Performance of odds ratios obtained with a job-exposure matrix and individual exposure assessment with special reference to misclassification errors.
J. Bouyer (1995)
ec, Seidman H. latency of asbestos disease among insulation workers in the United States and canada
Selikoff iJ (1980)
10.5271/SJWEH.186
Asbestos, asbestosis, pleural plaques and lung cancer.
G. Hillerdal (1997)
10.1097/EDE.0b013e31826cc1cb
Dynamic aspects of exposure history-do they matter?
R. Vermeulen (2012)
10.1038/bjc.2013.821
Heavy smoking and lung cancer: Are women at higher risk? Result of the ICARE study
A. Papadopoulos (2014)
Harding aH. the effect of smoking on the risk of lung cancer mortality for asbestos workers in great Britain
(1971)
10.1002/1097-0142(19801215)46:12<2736::AID-CNCR2820461233>3.0.CO;2-L
Latency of asbestos disease among insulation workers in the United States and Canada
I. Selikoff (1980)
10.1186/2052-4374-25-10
Systematic Review of the Effects of Asbestos Exposure on the Risk of Cancer between Children and Adults
D. Kang (2013)
10.1186/s12889-017-4025-1
Absence of multiplicative interactions between occupational lung carcinogens and tobacco smoking: a systematic review involving asbestos, crystalline silica and diesel engine exhaust emissions
Mohamad El Zoghbi (2017)



This paper is referenced by
10.1136/oemed-2018-105464
Identifying occupationally exposed populations for lung cancer screening: it is about time
F. Brims (2019)
10.1371/journal.pone.0236736
A new trajectory approach for investigating the association between an environmental or occupational exposure over lifetime and the risk of chronic disease: Application to smoking, asbestos, and lung cancer
Emilie Lévêque (2020)
Flexible modeling of time-to-event data and exposure-lag-response associations
A. Bender (2018)
Modélisation statistique de l'intensité des expositions prolongées en étiologie du cancer : application au tabac, à l'amiante, au cancer du poumon, et au mésothéliome pleural
Emilie Lévêque (2018)
10.1016/j.envint.2019.01.001
Long-term airborne dioxin exposure and breast cancer risk in a case-control study nested within the French E3N prospective cohort.
A. Danjou (2019)
10.2196/15167
Chronic Low-Dose Exposure to Xenoestrogen Ambient Air Pollutants and Breast Cancer Risk: XENAIR Protocol for a Case-Control Study Nested Within the French E3N Cohort
A. Amadou (2020)
10.3390/ijerph16142548
Lung Cancer Mortality Trends in a Brazilian City with a Long History of Asbestos Consumption
G. A. Fernandes (2019)
Joint modeling of time-varying exposure history and subsequent health outcomes: identification of critical windows
Maude Wagner (2020)
10.1016/j.scitotenv.2019.134622
Occurrence, behaviour, and human exposure pathways and health risks of toxic geogenic contaminants in serpentinitic ultramafic geological environments (SUGEs): A medical geology perspective.
W. Gwenzi (2019)
Semantic Scholar Logo Some data provided by SemanticScholar