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BMJ No 7114 Volume 315 Papers Saturday 18 October 1997
The accumulated evidence on lung cancer and environmental tobacco smokeA K Hackshaw, M R Law, N J Wald See Editorial p 961 and Paper p 973 AbstractObjective: To estimate the risk of lung cancer in lifelong non-smokers exposed to environmental tobacco smoke.Design: Analysis of 37 published epidemiological studies of the risk of lung cancer (4,626 cases) in non-smokers who did and did not live with a smoker. The risk estimate was compared with that from linear extrapolation of the risk in smokers using seven studies of biochemical markers of tobacco smoke intake. Main outcome measure: Relative risk of lung cancer in lifelong non-smokers according to whether the spouse currently smoked or had never smoked. Results: The excess risk of lung cancer was 24% (95% confidence interval 13% to 36%) in non-smokers who lived with a smoker (P<0.001). Adjustment for the effects of bias (positive and negative) and dietary confounding had little overall effect; the adjusted excess risk was 26% (7% to 47%). The dose-response relation of the risk of lung cancer with both the number of cigarettes smoked by the spouse and the duration of exposure was significant. The excess risk derived by linear extrapolation from that in smokers was 19%, similar to the direct estimate of 26%. Conclusion: The epidemiological and biochemical evidence on exposure to environmental tobacco smoke, with the supporting evidence of tobacco specific carcinogens in the blood and urine of non-smokers exposed to environmental tobacco smoke, provides compelling confirmation that breathing other people's tobacco smoke is a cause of lung cancer. IntroductionTen years ago scientific committees and national organisations concluded that exposure to environmental tobacco smoke (also called passive smoking) is a cause of lung cancer.(1-4) Substantial additional evidence has since been published, and we report a new analysis. The additional data permit a more precise estimate of the size of the association, with a further assessment of whether it is cause and effect by seeking a dose-response relation and examining whether sources of bias and confounding could account for the association. We also compared the direct estimate of risk from epidemiological studies with that from a low dose linear extrapolation of the risk in smokers using biochemical markers of exposure to tobacco smoke. As before,(5) the estimate of effect was the relative risk of lung cancer in lifelong non-smokers according to whether the spouse currently smoked or had never smoked. Spousal exposure is the best available measure: it is well defined and has been validated using biochemical markers.(6-9) It reflects exposure in general because non-smokers who live with smokers tend to be more exposed to tobacco smoke from other sources, because they are more likely to mix socially with smokers.(6) Workplace exposure varies considerably and is difficult to measure. MethodsDirect estimate of risk of lung cancer from epidemiological studiesStudies of environmental tobacco smoke and lung cancer were identified from Medline, the citations in each study, and consultation with colleagues. We included studies comparing the risk of lung cancer in lifelong non-smokers according to whether the spouse (cohabitees are included in this term) currently smoked or had never smoked. There were five cohort and 34 case-control studies.(10-48) Twenty nine studies were in peer reviewed journals, four in books with an ISBN number, two in peer reviewed doctoral theses, and three in published proceedings of scientific conferences; one study was an official report from a scientific organisation. We excluded studies with fewer than five cases of lung cancer (too few to calculate an odds ratio),(49-50) those that did not report separate results in non-smokers (the proportionate effect of exposure to environmental tobacco smoke is much smaller in smokers),(51-58) and those that did not have controls(59) or had controls with smoking related diseases.(60) We excluded studies in which the effects of exposure to environmental tobacco smoke and radon could not be distinguished(61) and studies that were duplicate publications of the same cases.(62-69) We also excluded three studies in which exposure from a spouse and exposure outside the home were not distinguished(70-72) and one unpublished study that had been submitted to the United States Occupational Safety and Hygiene Authority(73); inclusion of these four studies would have altered the summary relative risk estimate by less than 1%. In 35 studies lung cancer was generally (86%) confirmed histologically or cytologically; in four it was not stated how it was diagnosed.(10)(16)(30)(38) In the case-control studies controls were selected from the general population in 17 studies,(14)(19)(22-43)(47)(69) and from patients with non-smoking-related diseases in 17 studies.(1)(12-13)(15)(17-18)(20-21)(27)(29-30)(33-34)(41-42)(44-45) Age in years was generally the same in cases and controls; the age adjusted estimate was used in three studies in which it was not.(30)(40)(69) We used odds ratios unadjusted for potential confounding factors except in four studies, in which only adjusted estimates were available.(19)(30)(40)(69) For the cohort studies we used the published age adjusted relative risks (and 95% confidence interval). The relative risk estimates from the studies were pooled using the method of DerSimonian and Laird,(74-75) which allows for heterogeneity between studies by weighting each study using the within and between study variance. If there is no heterogeneity, weighting is by the inverse of the variance (fixed effects).
Indirect estimate of risk by extrapolation from the risk in
smokers
ResultsTable 1 shows details of the 39 (five cohort and 34 case-control) studies. Seven showed a significant excess risk. The pooled relative risk of lung cancer from the 37 studies on women was 1.24 (95% confidence interval 1.13 to 1.36) (P<0.001)-a 24% excess risk among lifelong non-smokers with spouses who smoked. Inclusion of the nine studies of men and the two reporting only on men and women combined made little difference (pooled relative risk 1.23 (1.13 to 1.34)).
Heterogeneity
Dose-response relation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data on the dose-response relation between the number of
cigarettes smoked by the husband and the risk of lung cancer was
reported in 16
studies.(10)(13)(16)(18)(20)(22)(24-25)(28) (30)(33)(41-42)(44)(47-48) Figure 2(a) shows data from one such study(28) with a significant trend. For each study a linear regression analysis was performed between the relative risk (in logarithms) and the number of cigarettes smoked by the husband. The summary estimate (allowing for the within and between study variation(74)(76)) shows a significant dose-response relation. Risk increases by 23% (14% to 32%) for every 10 cigarettes smoked per day by the husband (88% if he smoked 30).
Eleven studies(14)(20)(24)(26)(28)(33)
Histological type
| ![]() | |
| Fig 2: Dose-response relation between the relative risk (95% confidence interval) of lung cancer and (a) the number of cigarettes smoked daily by the spouse and (b) the number of years living with a spouse who smokes. (Data from study of Geng et al(28)). |
|
Misclassification bias
Misclassification bias increases with increasing values of four determinants: the prevalence of reported smoking among women; the extent to which women who smoke are more likely to have a husband who smokes (aggregation ratio); the proportion of women who had ever smoked who report themselves to be lifelong non-smokers; and the risk of lung cancer in misclassified ever smokers. The four determinants were estimated as follows: Smoking prevalence was specified in individual studies; if it was not we used national data. Aggregation ratio - Estimates of the aggregation ratio generally lie between 2 and 4.(5)(14)(20)(32)(78-86) We used an estimate of 3. The proportion of ever smokers misclassified as never smokers was derived by adding two separate estimates of misclassified current and former smokers. The first is the proportion of all ever smokers who are current smokers misclassified as never smokers, which is 3.1% and is estimated as follows. Of reported non-smokers, 2.0% are likely to be current smokers from nicotine or cotinine concentrations (table 3). Of British women, 53% report that they are never smokers, 21% that they are former smokers, and 26% that they are current smokers.(90) Hence, 1.48% of all women are current smokers who report being never or former smokers (2.0%x(53%+21%)); these are 3.1% of all ever smokers (1.48%/(21%+26%)). The second is the proportion of all ever smokers who are former smokers misclassified as never smokers, which is 3.8% and is estimated from responses to surveys on smoking by the same people on two separate occasions as follows. In one study of 1296 never smokers, 851 former smokers, and 1127 current smokers, 102 of the smokers claimed to be never smokers at a subsequent interview some years later.(91) Therefore, 5.1% (102/(851+1127)) of ever smokers were former smokers who reported themselves as never smokers. In another study of similar size the estimate was 2.5%(92); the average of these two estimates is 3.8%. The proportion of all ever smokers in Great Britain who are misclassified as never smokers is, therefore, about 7% (3.1%+3.8%).
The relative risk of lung cancer in misclassified ever smokers was obtained separately for misclassified current and former smokers. Women who currently smoke but report themselves as never smokers tend to be light smokers; the cotinine concentrations in misclassified women in table 3 were about 30% of the mean or median concentration in reported active smokers. Their risk of lung cancer will be correspondingly low. The relative risk in women is 12 on average,(93) an 11-fold excess risk, so the excess risk in these women is 3.3 (30%x11), and the relative risk is 4.3. Former smokers reporting to be never smokers are likely to have given up smoking long ago and to have smoked less than continuing smokers.(77) Most gave up at least 10 years previously (N Britten, personal communication), and even if they smoked 20 cigarettes a day their risk of lung cancer would only be about 1.5.(93) The estimated overall relative risk for misclassified current and former smokers together is therefore 3.0 (average of 4.3 and 1.5, weighted by the proportions of current (26%) and former (21%) smokers(90)). These estimates of the determinants of misclassification bias are similar to those obtained in the previous analysis,(5) despite the additional data now available; they are therefore likely to be robust. The relative risk estimates from each of the 37 studies were adjusted for misclassification bias; the method, a modification of that used before,(5) is described in the appendix. Table 4 shows estimates of the overall adjusted relative risk estimate according to various combinations of the determinants of misclassification bias. Implausibly high values are required to reduce the observed relative risk of 1.24 to a value that is not significant. With the most likely values (listed above), the observed relative risk in the 37 studies of 1.24 (1.13 to 1.36) is reduced to 1.18 (1.06 to 1.30) (P<0.001).
Bias due to exposure to environmental tobacco smoke in reference
group
This can be corrected by using data on urinary cotinine concentrations.(5) In four studies urinary cotinine concentration in non-smokers living with smokers was, on average, three times that in non-smokers living with non-smokers.(6-9) If x is the excess risk of lung cancer in non-smokers living with a non-smoker, then 3x is the excess risk in non-smokers living with a smoker. The observed relative risk (1.24) is equal to (1+3x)/(1+x), so x=0.14. The risk in non-smokers living with a smoker relative to non-smokers with no exposure to environmental tobacco smoke (urinary cotinine zero) is thus 1+3x=1.42 (1.21 to 1.66). Dietary confounding
Most of the studies did not record data on diet, and we estimated its confounding effect indirectly. From a pooled regression analysis of the studies of fruit and vegetable consumption and lung cancer in non-smoking women, the relative risk associated with a decrease in consumption of one standard deviation was 1.20 (this corresponds to a relative risk of 1.5 in the quarter of the population with the lowest consumption compared with the quarter with the highest). The difference in the consumption of fruit and vegetables between non-smokers who do and do not live with smokers was estimated in three studies (about 185 000 non-smokers in total)(48)(104)(108); the largest difference was -0.12 standard deviations. The relative risk of lung cancer corresponding to this difference is 1.02 (antilog (log 1.20x0.12)). Of the overall 24% excess risk of lung cancer in non-smokers exposed to environmental tobacco smoke, only 2% is accounted for by dietary differences. The estimated relative risk due to exposure to environmental tobacco smoke allowing for confounding is thus 1.21 (1.24/1.02). The eight epidemiological studies of exposure to environmental tobacco smoke and the risk of lung cancer that directly recorded data on diet confirmed the negligible effect of dietary confounding.(33)(43)(48)(65)(98)(100)(109) Overall estimate of risk of lung cancer
Indirect estimate of risk of lung cancer by extrapolation from
the risk in smokers
Table 5 summarises the results of seven studies measuring the urine or saliva concentration of nicotine and cotinine. In non-smokers exposed to environmental tobacco smoke, marker concentrations are about 1.0% of those in smokers. As cotinine and nicotine are tobacco specific, non-smokers exposed to environmental tobacco smoke have about 1% of the exposure to tobacco smoke of smokers and therefore 1% of the excess risk of lung cancer - 19% (1% of 19). This is similar to the estimate of 20% from a low dose extrapolation based on an analysis of pooled data from nine large cohort studies of the risk of lung cancer according to cigarette consumption.(116) The indirect (19%) and direct (26%) estimates of excess risk are similar.
DiscussionCarcinogens in environmental tobacco smoke are inhaled and pass into the blood. Experimental exposure of non-smokers to tobacco smoke increased the urinary concentration of a tobacco specific carcinogen,(117) and non-smokers exposed to environmental tobacco smoke have raised blood concentrations of tobacco specific carcinogen adducts - for example, DNA and haemoglobin adducts.(118-121) It is therefore to be expected that exposure to environmental tobacco smoke causes cancer. This analysis compared with the previous one(5) uses three times as many studies (37 v 13), with seven times as many cases of lung cancer (4626 v 676). The pooled estimate of the excess risk (24%) is more precise (95% confidence interval 13% to 36%). Despite additional data on the two sources of bias, the previous estimates of their size did not materially change, and are therefore robust.(5) Bias and confounding do not explain the effect, and the adjusted estimate of the excess risk was 26%. The finding of a significant dose-response relation between the risk of lung cancer and the extent of exposure to environmental tobacco smoke adds weight to the evidence that the association between exposure and lung cancer is causal. There was no evidence of publication bias against negative studies. Seven studies found a significant (P<0.05) positive result. If there were no association, the probability of such a result arising by chance is 1 in 40, so a total of 280 studies (7x40) would be required to generate the seven significant ones. It is implausible that there should be as many as 241 unpublished studies to 39 published ones. The similarity of the direct estimate of lung cancer due to environmental tobacco smoke and the indirect estimate from extrapolating from the risk in smokers, the evidence of a dose-response relation, the inability of bias or confounding to explain the association, and the presence of tobacco specific carcinogens in the blood and urine of non-smokers lead to an inescapable conclusion that exposure to environmental tobacco smoke is a cause of lung cancer. The estimated excess risk of 26% corresponds to several hundred deaths per year in Great Britain. Our review corroborates and strengthens earlier conclusions that environmental tobacco smoke causes lung cancer.
AppendixAdjustment for misclassification bias
The method involves first obtaining estimates of the proportions of individuals in a population according to the reported and true smoking statuses of husbands and wives (table A1). The values S1, S2, N1, N2, s1, s2, n1, and n2 can be estimated using (a) the aggregation ratio C=(S1 x N2)/(S2 x N1) (our best estimate was C=3) and (b) the proportion of true female ever smokers misclassified as never smokers (D), where S1=(1-D) x s1 and S2=(1-D) x s2, (our best estimate was D=7%).
Table A2 shows the proportion of women who are reported non-smokers according to their true smoking status and their risk of lung cancer. The observed relative risk from each study (RRobs) and the relative risk in smoking women who are misclassified as non-smokers compared with all reported non-smokers (RRmis) are known (see box).
The equations for RRobs and RRmis simplify to two simultaneous equations from which the values of E1 and E2 can be calculated. 1+E1 is then the relative risk of lung cancer due to exposure to environmental tobacco smoke in true non-smoking women. The standard error of the adjusted relative risk was obtained by adjusting the upper 95% confidence limit for the observed (unadjusted) relative risk in the same way as described above. The adjusted relative risks were then pooled as before.(25)
Department of Environmental and Preventive
Medicine, Correspondence to: Professor Wald
We thank Richard Doll, Robert Carter, Robert Curnow, and
Richard Peto for their helpful comments on an earlier version of this
article that was submitted to the Scientific Committee on Tobacco and
Health at the Department of Health.
Funding: Department of Health. The views expressed are those of
the authors and not necessarily those of the Department of Health.
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