Confounding happens in a study when a third factor is linked to both the exposure being studied and the disease, making it look like the exposure caused an effect it didn't, or hiding a real one. A classic example is smoking, which is tied both to certain jobs and to lung cancer. Good epidemiology tries to identify and adjust for confounders so the true effect of asbestos can be seen.
Origin
The concept comes from the Latin confundere ("to mix together"). It became a formal part of epidemiology and statistics in the 20th century as researchers developed methods to separate true causes from coincidental associations.
Significance in Asbestos Context
In asbestos cases, confounding is most often raised through smoking. Because smoking and asbestos both raise lung cancer risk, and the two together multiply it, defendants may argue that a patient's cancer came from cigarettes rather than fibers. Sound studies address this by adjusting for smoking, and courts recognize that asbestos independently causes lung cancer and mesothelioma. For mesothelioma in particular, smoking isn't a cause, so the confounding argument carries little weight. Understanding confounding helps a patient see why both the exposure history and the smoking history in their records get close scrutiny.
Example Sentence
The defense expert claimed the study ignored confounding, but the researchers had already adjusted for the workers' smoking habits.
Related Terms
Epidemiology, Relative Risk, Synergistic Effect, Attributable Risk, Cohort Study
Notes
- Give your legal and medical team a complete, honest smoking history; hiding it can undercut credibility more than the smoking itself.
- Ask whether the studies your expert relies on adjusted for smoking and other confounders.
- For mesothelioma claims, note that smoking is not a recognized cause, which limits confounding defenses.
In the research library
138 studies in our medical research library mention Confounding in the title or abstract. Among the most cited:
- Indirect corrections for confounding under multiplicative and additive risk modelsM.H. Gail, S. Wacholder, J.H. Lubin, 1988 · American Journal of Industrial Medicine · cited 40 times
- Evaluation of Confounding and Selection Bias in Epidemiological Studies of Populations Exposed to Low-Dose, High-Energy Photon RadiationM.K. Schubauer-Berigan, A. Berrington de Gonzalez, E. Cardis, et al, 2020 · Journal of the National Cancer Institute. Monographs · cited 34 times
- Association between 8-hydroxy-2'-deoxyguanosine levels in DNA of workers highly exposed to asbestos and their clinical data, occupational and non-occupational confounding factors, and cancerB. Marczynski, T. Kraus, P. Rozynek, et al, 2000 · Mutation Research · cited 30 times
- Reanalysis of mortality from lung cancer among diatomaceous earth industry workers, with consideration of potential confounding by asbestos exposureH. Checkoway, N.J. Heyer, P.A. Demers, et al, 1996 · Occupational and Environmental Medicine · cited 28 times
- Assessment of Confounding Factors Affecting the Tumor Markers SMRP, CA125, and CYFRA21-1 in SerumD.G. Weber, G. Johnen, D. Taeger, et al, 2010 · Biomarker Insights · cited 21 times
The journals that publish most on it: Occupational and Environmental Medicine (13), American Journal of Industrial Medicine (11), American Journal of Epidemiology (6).
Category: Epidemiological Methods · All Lexicon terms A–Z
This page is provided for general informational purposes and does not constitute legal advice. Every asbestos case turns on its own facts, exposure history, diagnosis, deadlines, available evidence, and applicable law. Reviewing this page does not create an attorney-client relationship. For advice about your specific situation, call 833-4-ASBESTOS for a free case review.