Philip Morris
Statement of Dr. Jane G. Gravelle Senior Specialist in Economic Policy and Dennis Zimmerman Specialist in Public Finance Congressional Research Service Before the Subcommittee on Clean Air and Nuclear Regulation Committee on Environment and Public Works United States Senate 940511 on Environmental Tobacco Smoke
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Congressional Research Service The Library of Congress Washington, D.C. 20540-7000
Statement of
Dr. Jane G. Gravelle
Senior Specialist in Economic Policy
and
Dr. Dennis Zimmerman
Specialist in Public Finance
Congressional Research Service
Before
The Subcommittee on Clean Air and Nuclear Regulation
Committee on Environment and Public Works
United States Senate
May 11, 1994
on
En :rironmental Tobacco Smoke
Mr. Chairman and Members of the Committee. We would like to thank you for the
invitation to appear.before you today to discuss the statistical basis for estimates of the health
effects of passive smoking.
Please note that we are trained as economists and our area of expertise relates to
economic analysis and the associated areas of statistical inference and quantification of effects
for purposes of cost-benefit analysis and related economic policies. We do not have technical
expertise in the physiological and biological transmission mechanisms of disease causing agents.
Our involvement in this issue was a result of a research paper we prepared on the
proposed cigarette tax. This paper, which is now completed, is entitled Cigarette Taxes to
Finance Health Care Reform: An Economic Analysis (CR5 Report 94-214 E). In order to

CRS-2
assess the economic efficiency of the proposed tax, it was necessary to examine the magnitude
of any costs that smokers might impose on nonsmokers; the health effect of passive smoking
is one aspect of this cost calculation. This led us to a review of the methodology used to assess
the scientific evidence on passive smoking.
Our evaluation of that evidence led to two conclusions: first, the evidence that passive
smoking causes disease is far less certain than the effects for active smoking; second, the
health costs of these potential passive-smoking effects, which we translated into a tax per pack,
are likely to be quite small.
The claim that passive smoking results in damage to the health of nonsmokers is based
upon both theory and empirical analysis. If the theoretical case for the existence of passive-
smoking effects is considered to be sound, it leads investigators to expect to find empirical
support for the proposition. This theoretical case can be summarized in three steps: (1)
environmental tobacco smoke has many of the same components as smoke inhaled by smokers;
(2) there is physical evidence of some absorption by passive smokers of these components; and
(3) a positive relationship exists between active smoking and additional disease and health
costs, with no threshold observed.
Questions have been raised about this entire chain of reasoning, but the focus in our
evaluation is the third link in the chain. This link is based upon evidence on active smokers
who report different amounts of smoking. The difficulty with this theory is that even the
lightest active smokers experience far greater exposure to and absorption of potential disease-
causing agents than do passive smokers. Thus the statistical evidence on active smoking,
including evidence of greater damage as smoking increases, is a necessary but not a sufficient
condition for establishing a link between passive smoking and health~ risks. That is, a
threshold effect may exist between the lowest levels of active smoking studied and the levels
of exposure in passive smoking.
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Since the theory is not certain, one approach to studying passive smoking effects is to
examine epidemiological ("epi") studies -- statistical studies of the incidence of diseases in
human populations. Given the small risks that are often found for passive smoking, the
statistical problems inherent in epidemiological studies are of far greater concern for passive
smoking than for active-smoking studies. That is, when the effects are small, it is more likely
that some error in design or specification could be responsible for the results. Given this
greater uncertainty, consistency of the results with alternative evidence becomes more critical
as a reality check.
An alternative method of estimating passive smoking effects is to extrapolate from
active smoking studies based on the relative levels of physical exposure, using some type of
biomarker which measures the absorption of substances in the body. This approach, sometimes
called the "cigarette-equivalent" approach, suggests a strong possibility that the relationship
between passive smoking and disease incidence found in epidemiological studies is larger than
expected, and that the statistical problems of the epi studies may be attributing disease
incidence to passive smoking that is attributable to other factors. Thus, the combination of
the greater statistical uncertainty of passive-smoking epi studies and the potential
inconsistency of those results with physical exposure models is responsible for our conclusion
that the finding of increased risk from passive smoking is "uncertain."
The remainder of this testimony provides the analysis upon which this conclusion is
based. It begins with a discussion of the lung cancer evidence on passive smoking, first
discussing the epi evidence. This is followed by a discussion of the physical exposure approach
and its potential inconsistency with the epi results. The testimony then turns to a comparison
of the epidemiological evidence and physical exposure approach for estimating the risk of heart
disease from passive smoking, along with a brief mention of non-lung cancer and respiratory
illness in children.
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LUNG CANCER
Epidemiological Evidence
A number of epidemiological studies have assessed the effects of environmental tobacco
smoke on specific diseases, with the largest body of research focusing on lung cancer among
nonsmoking wives of smokers. Based upon these studies, several Government agencies have,
in the last few years, taken the position that environmental tobacco smoke causes lung cancer
in nonsmoking adults, including the- Office of the Surgeon General and the Environmental
Protection Agency's (EPA's) 1992 risk assessment that classifies environmental tobacco smoke
as a cancer-causing agent.' Despite the controversy surrounding~this latter report, the
estimates of the risk of lung cancer'deaths from passive smoking by the EPA are relatively
small, amounting to a lifetime risk of death from lung cancer due to passive smoking of from
one-tenth to two-tenths of a percent. The positions taken on passive smoking's effects on
health by Government agencies and by the EPA 1992 assessment in particular have been
subject to criticism by the tobacco industry and by some researchers?
Our discussion draws on the evidence presented on both sides of the passive smoking
issue with regard to the statistical and scientific evidence, but pays particular attention to the
L U.S. Department of Health and Human Services, The Health Consequences of Involuntary Smoking,
1986,
Surgeon General Report, DHHS Publication Number (CDC) 87-8398; and United States Environmental
Protection
Agency, Respiratory Health Effects of Passive Smoking: Lung and'Other Cancer Disorders, December
1992.
Z A group of tobacco growers and manufacturers has filed a lawsuit challenging the EPA assessment as
not being
supported by the evidence. Among the is'sues raised is the use of empirical work based upon exposure
in the home
to draw inferences about health effects from exposure in the workplace.
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latest summary of this evidence, the EPA study.g The EPA study analyzed and summarized
30 studies of passive smoking lung cancer effects.
(1) Critics have questioned how a passive-smoking effect can be discerned from a group of
30 studies of which six found a statistically significant (but small) effect, 24 found no
statistically significant effect, and six of the 24 found a passive smoking effect opposite to the
expected relationship.
EPA attempted to standardize this diverse group of studies to account for statistically
important differences in their methodologies. In this process, EPA reduced the standard for
statistical significance from the usual standard, and the one generally used in the original
studies. It is unusual to return to a study after the fact, lower the required significance level,.
and declare its results to be supportive rather than unsupportive of the effect one's theory
suggests should be present, but our conclusion about the "uncertainty" of the EPA results is
not dependent upon this change in significance levels.
However, the issue raised by the change in the statistical significance standard should
not be ignored. The test of statistical significance used in these studies answers the following
question: How large a chance, statistically speaking, is society willing to take that it accepts
a conclusion that a passive-smoking effect exists when in fact a passive-smoking effect does not
s These sources include the U.S. Department of Health and Human Services, Surgeon General Reports
for 1986
and 1989; United States Environmental Protection Agency (1992), which detail the rationales for
their positions.
Theae reports also summarize the epidemiological studies on environmental tobacco smoke, especially
on lung cancer
and childhood respiratory illness. The reader is also referred to a hearing at which researchers who
both supported
and criticized the EPA study appeared: U.S. Congress, House Committee on Agriculture Subcommittee on
Specialty
Crops and Natural Resources, Review of the U.S. Environmental Protection Agency's Tobacco and Smoke
Study,
103rd Congress, 1st Session, July 1993. For a view that questions the passive-smoking hazard,
focusing particularly
on lung cancer, and that is written for the layman, see Gary L. Huber, Robert E. Brockie and Vijay
Mahajan,
"Passive Smoking. How Great a Hazard?" Consumers' Research, July 1991, 10-15, 33-34. Huber, et aL
also wrote
a companion paper on cardiovascular disease "Passive Smoking and Your Heart," Consumers' Researoh,
Apri11992,
pp. 13-19, 33-34. Also, see Kyle Steenland, "Passive Smoking and the Risk of Heart Disease," Journal
of the
American Medical Association, January 1, 1992, VoL 267, pp. 94-99. These last two artides provide
capsule
summaries of epidemiological studies on passive smoking and heart disease. Finally, see The Tobacco
Institute, EPA
Report Scientifically Deficient for a summary of the industry's criticism of the EPA report. Some
critics of the claim
that passive smoking causes disease have also raised questions about institutional bias in the
Government or in the
professional journals; those issues are not addressed here.
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CRS-6
exist? In effect, EPA changed the standard from a two-and-a-half percent chance to a five
percent chance of accepting an incorrect conclusion. The implication for policy is that society
has accepted a greater chance of focusing resources on an unjustified intervention (from an
efficiency standpoint).
(2) One important difference among the studies is the chance of accepting the absence of
a passive-smoking effect when in fact a passive-smoking effect exists. The smaller the size of
the sample (number of observations, or people, for whom data were available), the greater the
chance of making such a mistake. To correct for these differences, EPA adjusted (weighted)
the estimate of the passive-smoking effect in each study. This has the effect of reducing the
importance of studies with.small sample size, studies that would tend to find less significant
effects for passive smoking, and increasing the relative importance of studies with large sample
size, studies that would tend to find more significant effects for passive smoking..
(3) EPA adjusted the results of each study for misclassification bias (classifying smokers
or former smokers as never-smokers). It also made subjective judgments about the extent to
which the studies suffered from a variety of other statistical problems, such as confounding
(failure to consider the influence of other factors that might increase lung cancer risk). Those
that fared poorly in this analysis were placed in a "Tier 4" category and excluded from the
analysis of joint significance of the studies. This procedure allowed EPA to "emphasize those
studies thought to provide better data...". (EPA, p. 5-61). After making all these adjustments,
EPA combined the studies to conclude that, as a group, the remaining studies indicate that
exposure to passive smoke produces a statistically significant increase in lung cancer among
nonsmokers.
(4) Another test the EPA conducted was to examine the included studies for evidence of a
positive relationship, within each study, between risk and degree of exposure (number of years
the husband smoked, or number of cigarettes he smoked per day). They found such a
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CRS-7
relationship in 10 of the 14 studies for which such data were available. They also found that
the highest-exposure-level group had higher risks than other groups combined, which was
statistically significant in 9 of 16 comparisons. These results increased EPA's confidence in
the integrity of the data, making it more willing to draw conclusions. This confidence comes
from the fact that these results conformed to expectations. From our perspective, these results
also are consistent with expectations about the functional form of the passive-smoking
dose/response relationship. We will return to this issue in the section on the physical exposure
approach.
(5) In addition, there are several potential statistical problems. These studies do not have
(and indeed cannot have) very precise estimates of exposure from environmental tobacco
smoke. The data are based on interviews of the subjects or their relatives. , If errors in
measurement occur in a systematic way that are correlated with development of the disease,
the effect would be to bias the resu:t,s. An example would be if those individuals who
developed lung cancer (or relatives of those individuals) remembered or perceived their
exposure differently from those who did not develop the disease.
Another concern is the possibility that some subjects classified as nonsmokers are
actually current or former smokers aud that such current or former smokers are more likely
to be married to husbands that smoke. While EPA made some adjustment for this effect, it is
not possible to correct precisely for this problem. That is, it remains possible that a
relationship observed might reflect the effects of active rather than passive smoking.
In addition, while EPA considered the presence of certain confounding factors in its
evaluation of some of the studies, this issue is not laid to rest. If wives of smokers share in
associated poor health habits or other factors that could contribute to illness and that are not
or cannot be controlled for, statistical associations found between disease and passive smoking
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could be incidental or misleading. Such an error could also render a relationship between risk
and degree of exposure spurious.
In fact, there is evidence, as discussed in our cigarette tax study, that smokers are
greater risk takers than nonsmokers and that they tend to engage in many other lifestyle
habits that are not favorable to health. If smokers tend to be less concerned in general about
health risks and engage in other behaviors (e.g. diet, lack of preventive health care) that might
be shared with their spouses, these factors may be responsible for some share of the estimated
increased health effects.
Such limitations of studies are often inevitable, but they impart some degree of
uncertainty to the results, especially when small risks are estimated. .
(6) Two epidemiology studies that each covered a large number of observations were
published in 1992 after the cutoff date for inclusion in the EPA report. The one with the
largest number of observations found no overall increased risk of lung cancer among
nonsmoking spouses of smokers,' the other found an increased, but statistically not
significant, lung cancer risk.b Both studies looked at exposure levels within their samples and
both found a statistically significant increased risk among the highest exposure group in some
categories. In smaller exposure groups, the first study found an unexpected negative
relationship between passive smoking and disease and the second found a positive, but not a
statistically significant, relationship. It has been pointed out that in large studies where the
data are broken into several subsets and each is analyzed separately, some associations may
be statistically significant as a matter of chance.
4 Ross C. Brownson, Michael C. R. Alavai~ja, Edward T. Hock, and Timothy S. Loy, "Passive Smoking
and Lung
Cancer in Women," American Journal of Public Health, November 1992, vol. 82, pp. 1525-1529.
b Heather. G. Stockwell, Allan.L. Goldman, Gary H..Lyman, Charles I. Noes, Adam W. Armstrong,
Patricia A.
Pinkham. Elizabeth C. Candelora, and Marcia R Brusa, "Environmental Tobacco Smoke and Lung Cancer
Risk in
Nonsmoking Women," Journal of the National Cancer Institute, September 16, 1992, vol. 84, pp.
1417-1422.
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Physical Exposure Relationship
An alternative approach to estimating the effects, if any, of passive smoking through
statistical studies is through a physical exposure extrapolation approach. We believe a
discussion of this approach will shed some light on why one might be concerned about the
certainty of the epidemiological estimates. A physical exposure approach was discussed in our
cigarette tax paper, and it was also contrasted with the statistical approach in a memorandum
prepared by the CRS. We elaborate on those discussions.
. As noted earlier, even the lightest smokers studied among active smokers experience far
greater exposure to and absorption of tobacco smoke based on common biomarkers than do
passive smokers. Therefore, such evidence on active smokers is necessary but not sufficient
to conclude that a similar relationship exists for passive smokers. It is entirely plausible that
the (unknown) dose/response function rises very little over the range of exposure (dose) levels
for passive smokers and begins to rise rapidly as the exposure levels experienced by active
smokers are approached.
The existence of an exposure threshold for disease onset below which many passive
smokers fall is not implausible. Most organisms 'have the capacity to cleanse themselves of
some level of contaminants. It is for this reason that public policy usually does not insist that
every unit of air or water pollution be removed from the environment: the damage of low
levels of pollutants is sufficiently small that removal is not cost effective. In fact, strongly
nonlinear relationships in which health effects rise with the square of exposure, and more,
have been found with respect to active smoking (see Surgeon General's Report, 1989, p. 44).
Were these relationships projected backward to construct the lower (unknown) portion of the
dose/response function, the observed relationship might lead researchers a priori to expect no
empirical relationship.
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CRS-10
In fact, the EPA report dismisses linear extrapolation from the
active-smoking
dose/response relationship to estimate passive smoking effects. Numerous reasons are given
for the decision not to make such an inference. The most interesting reason is a suggestion
that extrapolation might underestimate the response, exactly the opposite of what the
discussion above suggested. That is, if the relationship were such that disease rose with the
square or more of exposure, or if there were a threshold, a linear extrapolation would overstate
the response. The support for this position that linear extrapolation would underestimate the
response is based upon a paper by R.emmers that suggests small amounts of carcinogenic
substances are large enough to begin the disease process but are too small to activate the
body's defenses against the disease. In effect, this suggests there is no threshold for disease
onset, but there is a threshold for the body's automatic disease fighting mechanisms. Thus,
depending upon the relative strengths of the disease and immune responses as dosage
increases, marginal disease per unit of dosage could cause the observed average dose/response
relationship to increase, decrease, or remain the same as dosage increases for the dosage range
that inchides passive smoking.
If this is the case, one wonders why EPA's confidence in the epi lung cancer studies was
increased by its investigation of the dose/response relationship within the individual studies.
R.eferring back to the discussion in the epi section of this testimony, EPA's theory about a
threshold effect for the immune response to exposure should have lead them to expect no
particular dose/response relationship.
How do the actual numbers estimated using the different approaches compare? The epi
studies 'indicate an additional risk for lung cancer due to marriage to a smoking spouse for
female never-smokers of about 30 percent. That is, according to their analysis of the statistical
6 H. Remmer. Passively Inhaled Tobacco Smoke: A Challenge to Toxicology and Preventive Medicine.
Archives
of Toxicology, vol. 61, pp. 89-104.
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studies, nonsmoking wives of men who smoke have 30 percent more lung cancer than
nonsmoking wives of men who do not smoke. This risk is, in turn, only a tiny fraction of the
risk from active smoking (probably around 3 percent)7. The risk in the United States epi
studies was slightly lower, only about 20 percent. Based on the epi studies' 20 percent risk
factors for the U.S., the EPA estimated 3000 lung cancer deaths from passive smoking, 2000
for those who are never-smokers and 1000 for former smokers.8
Extrapolation based on physieal evidence yields smaller effects. According to data in
the EPA report, measures of cotinine in the urine indicate that, overall, passive smokers have
about 1/2 of one percent of the level of active smokers. Or, to put it another way, given that
the average smoker smokes about 20 cigarettes a day, the passive smoking effect is equivalent
to smoking a tenth of a cigarette a day.
In comparing the physical exposure extrapolation approach to the epi estimates, it is
simpler to compare the effects on never-smokers. Since the number of current and former
smokers are the same as the number of never-smokers, the estimated premature deaths
annually from passive smoking for never-smokers would be about 600 using a linear
7 The risk of lung cancer in smokers and ex-smokers depends on intensity, duration, and, in the case
of ex-
smokers, time elapsed since quitting. Passive smoking would involve three percent of the risk of
active smoking
if there is a ten fold active-smoking risk (i.e. smokers have an additional estimated risk of lung
cancer that is ten
times the disease rate of nonsmokers) which is typical of current estimates of the risk for women as
reported in the
1989 Surgeon General's Report, Reducing the Health Consequences of Smoking. U.S. Department of
Health and
Human Services, DDHS Publication No. (CDC) 89-8411). In generating the estimates of deaths from
passive
smoking, the EPA actually used the additional risk (of wives married to smokers as compared to wives
married to
nonsmokers) in the U.S. passive smoking studies, which was about 20 percent. If studies from all
countries are
considered, the estimated risk from these studies was 30 percent.
8 Actually, the only number that was directly estimated from the epi study was the calculation of
slightly under
500 deaths due to increased risks for women married to nonsmokers. This number was, in fact,
extrapolated
backward using a linear physical exposure method to calculate an additional 1000 deaths from other
sources of
environmental exposure (e.g. workplace, social), for a total of 1500 female never-smoker deaths. A
further
extrapolation yielded 500 additional deaths for male never-smokers, and another 1000 for both male
and female
former smokers. Lung cancer deaths attributable to passive-smoking are two to three percent as large
as the
estimated 113,000 lung cancer deaths attributed to active-smoking. For data on widely accepted
estimated active
smoking deaths, see C. S tephen Redhead, Mortality and Economic Costs Attributable to Smoking and
Alcohol Abuse,
Congressional Research Service Report 93-SPR, April 20, 1993.

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extrapolation.s This number is considerably less than the EPA's estimate of 2000 never
smoker deaths.10
There are potential problems with the physical exposure measure as well as with the
epi approach. The physical extrapolation method used above assumes a linear relationship
between the incidence of a disease and exposure. Based on evidence from the pattern for active
smoking, however, a linear method may not be correct. There is some evidence that disease
rises with square of the exposure or' even with higher powers in the case of lung cancer.ll
If the disease were to rise with the square of exposure, then the estimate based on cotinine
levels would be only 3 people rather than 600 people. Thus, in this case-the epi studies suggest
2000 deaths of never smokers and the physical exposure measure suggests 3 deaths and the
contrast between the two approaches is even greater.
It is also possible that cotinine is not the best measure of exposure; as discussed in the
EPA study some exposure measures show larger and some show smaller effects. It is worth
noting that the EPA chose the epidemiological studies as a basis of their approach, but they
nevertheless relied on the cotinine measures for several aspects of their estimates (such as
extrapolating from the effects on spouses of smokers to the population in general).
HEART DISEASE AND OTSER CANCER
Many of the statistical concerns raised above with regard to lung cancer are relevant
to respiratory effects in children and heart disease in adults. Indeed, the conclusions by these
9 To extrapolate, multiply the ratio of cotinine (.005) by the ratio of never-smokers to ever
smokers, and by the
113,000 deaths attributable to active smoking.
to There is also a section in the EPA study that discusses extrapolations based on the physical
exposure to
passive smoking; these estimates also tend to.be smaller - in some cases, much smaller-than the
epidemiological
estimates.
11 Surgeon General's Report, p. 44.
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CRS-13
Government agencies about passive smoking and lung cancer are generally not extended to
heart disease or other health effects in adults. The presence of other factors that may be
related to these illnesses that are not controlled for are particularly important in the case of
heart disease, general respiratory illness, and cancers in other parts of the body, where the link
between active smoking and the disease is not as strong as in the case of lung cancer.
In addition, the differences between deaths estimated from epi studies and from physical
exposure extrapolations are much more pronounced in the case of heart disease estimates.
Recall that the EPA estimate of lung cancer deaths from passive smoking was 3000.
There has also been widespread reference to an estimate of 50,000 deaths attributable to
passive smoking. The 50,000 estimate has been circulated by non-governm:.t organizations,
and was mentioned in testimony by the American Medical Association which stated that
passive smoking "may kill as many as 53,000" Americans annually.12 This statement in turn
appears to be ultimately traceable to an article by Wells published in 1988 in Environment
International.ig This article used existing epidemiological studies to estimate these deaths
which included, under one set of calculations, 3,700 lung cancer deaths, 12,300 deaths from
other cancers, and 37,400 deaths from heart disease. (Wells actually reported estimates
ranging from 38,000 to 53,000, with a preferred estimate of 46,000).14
12 Statement of the American Medical Association, Health and the Environment Subcommittee, House
Committee on Energy and Commerce, Re Adverse Health Effects of Exposure to Environmental Tobacco
Smoke,
July 21, 1993.
13 A. Judson Wells, An Estimate of Adult Mortality in the United States from Passive Smoking.
Environment
International. Vol. 14, No. 3, 1988, 249-265.
14 Each issue of Environment International contains an editorial; the one in the issue containing
the Wells
article was directed at that article. The editorial indicated that the study received mixed reviews
from referees (two
recommended publication after revision and the third recommended against publication on the grounds
that it was
too speculative); the editors chose to publish the paper. In the following three years there were a
series of critiques
and rejoinders related to this paper. Letters from Alan W. Katzenstein, Peter M. Lee, and Larry
Holcolm criticizing
the Wells results; a clarifying letter from Takeshi Hirayama, a rebuttal to Katzenstein and Lee from
James L.
Repace and Alfred H. Lowrey, and a response from Wells were published in 1990 (Vol. 16, no. 2, pp.
175-193). In
1991, a letter from Stanton A. Glantz criticizing Lee was published along with Lee's reply (Vol. 17,
no. 1, pp. 89-91).
Later in 1991, a response of Lee to the 19901etters of Repace and Lowrey, and Wells, a letter from
Muin J. Khoury
clarifying a point raised in Lee's letter, a joint letter from Glantz and Lee clarifying an issue
raised earlier in the
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CRS-14
While the estimates from at least some of the epidemiology studies of lung cancer are
significantly larger than the estimates based on physical exposure, these results are not
magnitudes apart. The same cannot be said, however, for the Wells estimates of deaths from
heart disease. Using the same type of linear physical exposure extrapolation as in the previous
section would result in 700 deaths from coronary disease for never smokers, and perhaps
another 350 for former smokers, with a total of about 1000. The comparable portion of the
Wells' 53,000 estimate from the epid'emiological studies, even for several years ago, is 37,000,
a number that is enormously larger.
This large estimate occurs because the epidemiological studies; on the whole, show a
very high risk estimate for passive smoking relative to active smoking for heart disease as
compared to lung cancer. For example, Wells indicates a 30 percent additional risk for heart
disease for males and a 20 percent rise for females resulting from exposure to passive smoke,
as compared to a 70 percent risk for smokers. The passive-smoking deaths associated with
these relative risks are immense compared to both the physical exposure extrapolation
estimates for heart disease and to either method for lung cancer. Note that although the risk
ratios are not that different from lung cancer, the absolute risk estimates are much larger.
The risk of lung cancer for nonsmokers is very low, and any percentage of a small number is
still a small number. The estimated risk for heart disease is much larger initially, and
therefore any significant percentage change in the risk is larger. Put another way, even the
epidemiological studies of lung cancer produced passive-smoking deaths of less than 3 percent
of active-smoking deaths, while the heart disease studies produced estimates that were 26
percent of estimated active-smoking deaths.
t~>
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year, and a response from Repace and Lowrey, and Wells to Lee's letter were pubIished'(VoL 17, no.
4, 379-387). m
In 1992 (Vol. 18, No. 3, pp. 315-317, 321-325) another letter from Lee and response from Wells was
published. '~
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CRS-15
The biological plausibility of passive smoking effects on cardiovascular diseases has been
the subject of some discussion.ib A likely explanation of these apparent large risks from
passive smoking found in epidemiological studies for heart disease is, however, the absence of
control for other factors." There are many important causes of heart disease (e.g. diet, lack
of exercise, lack of preventive health care) that may be engaged in by smokers. There is much
evidence that smokers tend to be less concerned about health risks in general. In general,
studies do not, and perhaps cannot, eontrol for many of these factors. If smokers' wives share
in these behaviors, the relationships found in the epidemiological studies are spurious.
The Wells estimate of passive-smoking deaths from cancers other than lung cancer is
even larger relative to a,~tive-smoking deaths than is the case of heart disease-about 50
percent. Again, these cancers are influenced by many other factors, and the same general
criticisms can be made about these epidemiological estimates as in the case of heart'disease.
In sum, this analysis s.uggests that the Wells estimates are so high relative to measures
of physical exposure that they seem implausible. It also suggests that the absence of controls
or the inability to control for other factors may be a. major problem in relying on
epidemiological estimates of the health effects of passive smoking. To restate this criticism,
if wives or children of smokers share in poor health habits or other factors that could
contribute to illness, statistical associations found between disease and passive smoking could
be incidental or misleading.
1s The argument has been made for a relationship in which passive smoking can have large effects
relative to
active smoking in some laboratory settings, which is largely attributed to increased sensitivity of
some nonsmokers.
See Stanton Glantz and William Parmley, Passive Smoking and Heart. Disease, in Circulation, vol. 53,
no. 1,
January 1991, pp. 1-12.
16 This position is taken by Gary L. Hubert, Robert E. Brockie, and V~ay K Mahajan in a paper
written for
the layman: Passive Smoking and Your Heart, Consumers Research, vol. 75., April 1992, pp. 13-19, 32.
These
authors consider the results in the Wells study and the similar heart diseases study by Steenland
(1992) biologically
implausible, and also note that six of the nine epidemiological studies show relative risks for
passive smokers that
are in excess of risks estimated' for active smokers and that most have very few controls for the
other factors that
might affect heart disease.

CRS-16
CONCLUSION -
Our assessment of the existing evidence on passive smoking was made as a basis for
drawing conclusions about the efficiency justifications for an increase in the cigarette tax.
Based on that evidence, as indicated in this testimony, our evaluation was that the statistical
evidence does not appear to support a conclusion that there are substantial health effects of
passive smoking. This finding flows from an analysis of the statistical methodology employed
in assessing such health effects andi purports to no technical research or conclusion on the
physiology of disease-causing agents.
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