Philip Morris
Environmental Tobacco Smoke and Lung Cancer in Nonsmokers: Does Time Since Exposure Play A Role?
Fields
- Author
- Agrenius, V.
- Nyberg, F.
- Pershagen, G.
- Svartengren, K.
- Svensson, C.
- Nyberg, F.
- Area
- CARCHMAN,RICHARD/SEC'Y FILES
- Document File
- 2063612706/2063612749/Nyberg, Fredrick Ets - Lung Cancer
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- PSCI, PUBLICATION SCIENTIFIC
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- Litigation
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- Named Organization
- Berufsgenossenschaftliche Kliniken Bergm
- Inst for Pathology
- Intl Agency for Research on Cancer
- Inst for Pathology
- Named Person
- Cavallibjorkman, C.
- Ferro, G.
- Gustavsson, E.
- Isaksson, I.
- Johnsson, G.
- Kraus, M.
- Lindevall, M.
- Muller, K.
- Ferro, G.
- Author (Organization)
- Karolinska Hospital
- Karolinska Inst
- Huddinge Univ Hospital
- Epidemiology Resources
- Inst of Environmental Medicine
- Karolinska Inst
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- MARG, MARGINALIA
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Document Images
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.
Environmental Tobacco Smoke and Lung Cancer in
Nonsmokers: Does Time since Exposure Play aRo1e?
Fre
a37~
yberg,.,Yeronica Agrenius,2 Katharina Svartengren,3 Christer Svensson,'
arld Goran Pershagenl
We conducted a population-based case-control study in Stock-
holm during 1989-1995 to investigate the risk of lung cancer
from exposure to environmental tobacco smoke. The study
base consisted of persons above 30 years of age resident in
Stockholm County who had never smoked regularly (that is,
one cigarette or more daily for 1 year). Cases of lung cancer
were identified at the three major county hospitals responsible
for diagnosis and treatment of lung cancer. A total of 124 cases
(35 men and 89 women) and 235 population controls (72 men
and 163 women) participated. The never-smoking status was
validated by interviews with next-of-kin. The relative risk
associated with ever-cohabiting with a smoking spouse was 1.2
[95% confidence interval (CI) = 0.7-1.91. Ever-exposure at
work to environmental tobacco smoke carried a relative risk of
1.6 (95% CI = 0.9-2.9). Risks tended to be more elevated in
high-exposure groups and with recent exposures. Both sources
of environmental tobacco smoke seemed important, and con-
siderable misclassification of total exposure occurred for each
variable used separately, in particular for the less common
spousal exposure. For those currently exposed to environmen-
tal tobacco smoke from the spouse, at work, or both, the
relative risk was 2.6 (95% CI = 1.0-6.5). Our data imply that
information from major sources of environmental tobacco
smoke should be combined to avoid important misclassifica-
tion and that timing of exposure should also be taken into
consideration. (Epidemiology 1998;9:301-308)
Keywords: lung cancer, environmental tobacco smoke, passive smoking, spouse, work, time since
exposure, misclassification
of exposure, case-control study.
Exposure to environmental tobacco smoke (ETS) is
common and recognized as a possible risk factor for lung
cancer in nonsmokers. A 1992 review by the U.S. En-
vironmental Protection Agency summarizes 31 studies of
ETS and lung cancer'; since then, several new studies
have become available.2-9 Few studies include male non-
smokers. Fairly consistent results are observed in relation
to ever living with or being married to a smoker, the
most common exposure measure. Many studies show
dose-response relations for quantitative variables, such
as amount smoked by the spouse.lo,' 1 Results for duration
of exposure are less consistent, although risks are mostly
raised in the category with longest durations.lo,i1 Other
dose metrics include cumulative pack-years of expo-
sure3,4,6.iZ'3 and smoke-years',',5 (sum of years from dif-
ferent sources). It is unclear which metric best represents
relevant biological exposure in various settings. Further-
From the Divisions of ' Environmental Epidemiology, Institute of Environmental
Medicine, Karolinska Institute, and 'Respiratory Medicine, Thoracic Clinics,
Karolinska Hospital, Stockholm; 3Division of Respiratory and Allergic Diseases
and 'Oncological Department of Southern Stockholm, Huddinge University
Hospitat, Huddinge, Sweden.
Addresa reprint requests to: Fredrik Nyberg, Division of Environmental Epide-
miology, Institute of Environmental Medicine, Karolinska Institute, Box 210,
SE-171 77 Stockholm, Sweden.
Submitted June 9, 1997; final version accepted December 10, 1997.
0 1998 tiy Epidemiology Resources Inc.
more, variables representing ETS exposure from only
one source, such as the spouse, may reflect total exposure
inadequately, resulting in exposure misclassification.
Cessation of ETS exposure has been studied little,
despite the well documented decrease in excess relative
risk of lung cancer among smokers after quitting smok-
ing.'4'!7 The use of variables that do not address timing
of exposure may further increase misclassification of ETS
exposure, particularly in populations where exposure has
ceased for many persons because of smoking cessation in
their environment.
Differences in urbanization, occasional smoking, and
life-style factors, in particular diet, between subjects
exposed and unexposed to ETS have been proposed as
explanations for the observed associations between ETS
and lung cancer,is,19 underlining the importance of con-
sidering these potential confounding factors.' Inadver-
tent inclusion of cases and controls who are misclassified
smokers, and may introduce confounding, is another
concern.t20 Misclassification studies indicate that this
problem is unlikely to cause major bias,21 but evidence
from within studies of ETS and lung cancer is limited.I,zz
We investigated the relation between ETS exposure
and lung cancer among both male and female never-
smokers in a Swedish population. We gave special at-
tention to validation of never-smoking status, a detailed
exposure history regarding ETS from different sources,
and evaluation of important confounders. In part, the
301

~ 302 NYBERG ET AL Epidemiology May 1998, Volume 9 Number 3
I
study contributes to a collaboration coordinated by 'the
International Agency for Research on Cancer.
Subjects and Methods
STUDY SUBJECTS
The study base was composed of Swedish-speaking per-
sons 30 years or older who were resident in Stockholm
County from October 1, 1989, to September 30, 1995,
and who were in a physical and mental condition per-
mitting a 1-hour interview. We excluded those who had
been regular smokers, defined as having smoked more
than 1 cigarette per day, 10 cigarettes per week, or 40
cigarettes per month; or 4 cigarillos per week, 3 cigars
per week, or 4 pipes per week for 1 year or longer.
We conducted the study in Stockholm County (about
1.7 million inhabitants in 1995). Three hospitals, Karo-
linska Hospital, Huddinge Hospital, and Sodersjukhuset,
are mainly responsible for diagnosing lung cancer cases
in this population. As a rule, a person suspected of
having or diagnosed with lung cancer is referred to a
lung department at one of these hospitals for further
medical investigation, including bronchoscopy and
treatment.
For case enrollment, we required a microscopically
confirmed diagnosis or unambiguous chest radiographs
and a typical clinical course. The lung departments were
regularly monitored for eligible cases. We screened all
persons presenting with suspicion of lung cancer for
smoking status (present, former, or never regular smok-
er), and all never-smokers were followed until lung can-
cer was diagnosed or excluded.
For 96% of cases, we retrieved histologic or cytologic
slides, which one pulmonary pathologist reviewed to
validate the original diagnosis according to the World
Health Organization histologic typing of lung tumors.13
Controls from the Stockholm County population reg-
ister were frequency-matched approximately 2:1 to
cases, in strata defined by gender, age (30-49 years,
50-69 years, 70 years and older), and three hospital
catchment areas. Accrual of controls started in March
1992, matched to the initial 33 cases. New controls were
selected every 6 months based on the current case dis-
tribution. For controls sampled in 1995, matching was
only for gender and age, because administrative changes
in the health care system had blurred the catchment
areas.
We approached never-smoking patients when a diag-
nosis of lung cancer had been established. We contacted
controls by mail, or by telephone if they did not respond,
and asked them to participate if they fulfilled the never-
smoking screening criteria. If possible, a personal inter-
view was scheduled; otherwise, a telephone interview
was conducted.
We selected all cases (N = 124) and every second
control (N = 118) for validation of the never-smoking
status of the subject and ETS exposure from the spouse,
using a short next-of-kin interview covering the smok-
ing habits of the subject and his or her spouse. The
subject was not present at this interview.
EXPOSURE INFORMATION
A trained physician or nurse interviewed subjects using
a structured questionnaire. All six interviewers ques-
tioned both cases and controls. Two main interviewers
performed 76% of the interviews.
The questionnaire contained questions regarding oc-
casional smoking, a residential history including ad-
dresses and building characteristics, a lifetime occupa-
tional history, and a food frequency assessment of
foodstuffs rich in retinol, carotene, and vitamin C. We
assessed exposure to ETS using a core questionnaire
developed on the basis of a study on urinary cotinine and
ETS exposure?4 It covered childhood exposure, domes-
tic exposure from spouse and other cohabitants, and
exposure at all work places, at other places, and in
vehicles. Exposure to known or suspected occupational
lung carcinogensZS was evaluated based on all occupa-
tions in the working history, classified as to occupational
code (ISCO-68)26 and industrial code (IS1C-71)."
STATISTICAL METHODS
We constructed ETS exposure variables that consider
different sources and environments, as well as time of
exposure. We also performed standard analyses using
dichotomous or categorical variables for single-source
ETS exposure. Numbers of pipes and cigars smoked were
converted to cigarette-equivalents using a factor of
three.
We estimated relative risks (RR) and 95% confidence
intervals (Cl) by odds ratios from multiple uncondi-
tional logistic regression, adjusted for matching vari-
ables: gender, age in five categories (30-49, 50 59,
60-69, 70-79, and ?80 years), and catchment area
(three categories). We adjusted all results presented for
potential confounders: occasional smoking (three cate-
gories), vegetable consumption (three categories), de-
gree of urban residence during the past 35 years (three
categories), and years of work in risk occupations (con-
tinuous). Categorical variables were based on either
natural cutpoints (for example, age), or cutpoints from
the distribution among controls (25th, 50th, 75th, and
90th percentiles).
Results
SUBJECT CHARACTERISTICS
We identified 145 eligible lung cancer cases among
never-smokers. Of these, 8.3% were identified at autopsy
or died before interview, and 6.2% refused participation
(total nonresponse rate = 14.5%), resulting in 124 en-
rolled cases.
We were unable to contact or locate 6.1% of potential
controls from population registers. These persons may
have been smokers or never-smokers, eligible or not
eligible for the study. The subsequent screening of con-
tacted persons gave a nonresponse rate of 17.1% among
never-smokers, resulting in 235 never-smoking controls.
Table 1 shows some characteristics of the subjects.
The women were slightly older on average than the men
(67.1 and 64.7 years for cases and 67.3 and 64.4 years for

Epidemiology May 1998, Volume 9 Number 3
ETS AND LUNG CANCER 303
TABLE 1. Distribution of Selected Characteristics in Lung Cancer Cases and Control Subjects
Cases
(N = 124) Controls
(N = 235)
Variable Number %* Number %
Gender
Male
35
28.2
72
30.6
Female 89 71.8 163 69.4
Age (years)
30-49
12
9.7
26
11.1
50-59 20 16.1 53 22.5
60-69 34 27.4 48 20.4
70-79 42 33.9 61 26.0
?80 16 12.9 47 20.0
Marital status
Ever-married
111
89.5
221
94.0
Never-married 13 10.5 14 6.0
Duration of occupational history
Never employed
4
3.2
4
1.7
<10 years 5 4.0 16 6.8
2:10 years 115 92.7 215 91.5
Study interview
Personal
111
89.5
163
69.4
By telephone 13 10.5 72 30.6
Hospital/catchment area
Huddinge Hospital
48
38.7
112
47.7
Karolinska Hospital 54 43.6 76 32.3
Sbdersjukhuset Hospital 22 17.7 47 20.0
Validation interviewj'
Subject refused
1
0.8
5
4.2
Next-of-kin refused 2 1.6 2 1.7
Other nonresp onse$ 6 4.8 3 2.5
Interview with spouse 63 50.8 64 54.2
Interview with other 52 41.9 44 373
relative
* Percentage of subjects with data available.
t Only 118 of the controls were eligible for the validation interview (see text).
$ No relative alive, only relative lives abroad, relative too ill, etc.
controls, respectively). Few subjects had never been
married.
All but one female lung cancer case were histologi-
cally (79.0%) or cytologically (20.2%) confirmed. Ade-
nocarcinomas were the most common (66.7%); other
tumor types included squamous cell carcinomas (9.8%),
carcinoids (13.8%), large (3.3%) and small cell cancers
(1.6%), and unspecified "malignant cells" or "non-small
cell cancer" (4.9%). The pathology review agreed for
77.5% of reviewed cases. Of the remaining tumors, some
received more specific classifications; for example, un-
specified or large cell cancer was reclassified as adeno-
carcinoma (7.5%), others were reclassified from squa-
mous cell to adenocarcinoma or vice versa (9.2%) or
otherwise reclassified (3.3%); and 2.5% could not be
classified from review slides.
The next-of-kin validation regarding ever-smoking
status of the subject was concordant in 99.1% for cases
and 97.2% for controls. For the case and three controls
who reported occasional smoking whereas next-of-kin
reported "daily or almost daily" smoking, there was no
major contradiction regarding total amount smoked, and
all smoking was at least 18 years in the past. We con-
sidered these discrepancies inconsequential and retained
all subjects in the analyses. The validation of exposure
reporting showed high agreement on spousal smoking
status (>93%, kappa >0.87) and on cumulative amount
smoked by the spouse (Pearson's rank correlation 0.75
for reported smokers, 0.92 for all subjects).2'
ENVIRONMENTAL TOBACCO SMOKE EXPOSURE
The traditional exposure variable "ever living with a
smoking spouse" gave a relative risk for lung cancer of
1.2 (95% CI = 0.7-1.9) (Table 2). For men the RR was
2.0 (95% CI = 0.7-5.4), whereas for women it was only
1.1 (95% CI = 0.6-1.9). Restriction to subjects below
70 years of age increased the relative risk to 1.4 (95%
CI = 0.7-2.7) for both genders combined. The estimates
for reporting actual exposure to a smoking spouse were
somewhat lower. For work exposures, the results were
similar in both genders, with a combined RR for ever-
exposure of 1.6 (95% Cl = 0.9-2.9). No clear increase
in risk was associated with dichotomous variables for
other indoor exposures or exposure in vehicles, both of
which were minor sources of ETS exposure, nor for
childhood exposure to father's or mother's smoking, for
which some subjects had missing data.

304 NYBERG ET AL
Epidemiology May 1998, Volume 9 Number 3
TABLE 2. Relative Risks for Lung Cancer Associated with Basic Dichotomous Variables Representing
Environmental
Tobacco Smoke Exposure from One Exposure Source at a Time
Men Women Both Genders Men Women
Variable Cases Controls Cases Controls RR* 95% CI* RR* 95% CI* RR* 95% CI*
Spouse smoker
Nevert
22
53
39
71
1
1
1
Ever 13 19 50 92 1.17 0.73-1.88 1.96 0.72-5.36 1.05 0.60-1.86
Reported exposure to smoking s pouse
Nevert 23 53 43 74 1 1 1
Ever 12 19 46 89 1.05 0.65-1.68 1.64 0.59-4.51 0.94 0.53-1.67
Exposed at work
Nevert
5
14
22
55
1
1
1
Ever 30 58 67 108 1.61 0.91-2.85 1.89 0.53-6.67 1.57 0.80-3.06
Exposed in other indoor locatio ns
Nevert 24 50 73 125 1 1 1
Evet 11 22 16 38 0.94 0.54-1.63 1.31 0.50-3.38 0.90 0.44-1.86
Nosed in vehicles (non-work-related)
everfi 29 63
86
153
1
1
1
Ever 6 9 3 10 0.98 0.41-2.3 7 1.71 0.49-5.98 0.41 0.09-1.75
Childhood exposure to smoking father$
Nevert 9 31 46 75 1 1 1
Ever 20 34 39 73 1.02 0.63-1.66 1.90 0.69-5.23 0.76 0.42-1.37
Childhood exposure to smoking mothert
Nevert 9 31 46 75 1 1 1
Ever 6 8 4 13 0.72 0.28-1.87 0.90 0.14-6.00 0.29 0.07-1.14
* Relative risk (RR) and 95% confidence interval (Cl) estimated by odds ratios obtained in multiple
logistic regression. Adjusted for matching variables gender, age,
and catchment area, as well as occasional smoking, vegetable consumption, degree of urban residence,
and years of exposure to risk occupations.
t Refetent category.
$ Total number of cases or controls is lower owing to missing data for some subjects for the
respective exposure variables.
We analyzed low and high exposure to spousal ETS
using several metrics (Table 3). The risks were elevated
in the high-dose group for all variables among men and
for both genders combined, and mostly for women. Du-
ration alone was not a good predictor of risk, particularly
among women. High exposure by cumulative measures
(1 "pack-year" is 365 packs, equivalent to I pack per day
for 1 year; 1"hour-year" is 365 hours, or 1 hour per day
for 1 year) was associated with increased RRs in both
genders. Exposure to spousal ETS within the last 15
years showed increased RR among men (2.3; 95% CI =
0.7-7.5), but not women, and the RR for both genders
combined was only 1.1 (95% CI = 0.6-1.9). In contrast,
the RR for such recent exposure to ETS at work was 2.1
(95% CI = 1.1-4.0) and was consistent among men and
women. We obtained similar results for duration or
weighted duration of ETS exposure at work (Table 3).
Against this background, we examined the exposure
distributions in the study base. Among all controls,
ever-exposure to ETS from the spouse occurred in 26%
of men and 55% of women. The proportion of these
exposed controls who were exposed recently, that is, in
the last 10 years, however, was 42% among men but only
30% among women. Ever-exposure to ETS at work was
more common (men 8 1 % and women 66%), and a larger
proportion of the exposed were exposed recently (men
50%, women 43%).
Given the problems inherent in treating the two
major sources of ETS exposure as independent risk in-
dicators, we combined them. Time since last exposure to
either major source was associated with elevated relative
risks for recent time periods (Table 4), reaching 2.6
(95% CI = 1.0-6.5) for subjects currently exposed. For
years of exposure to one or both major sources, the trend
in risk was not apparent in the highest category. Expo-
sure periods from the two sources may, however, overlap
to a varying extent. Another approach is to consider the
longer of the two durations more indicative of the total
exposure. This analysis showed an elevated risk for sub-
jects in the top decile of exposure from one or both
sources. Cumulative time-weighted duration avoids the
conceptual problem of overlap, because the hours of
exposure are not concurrent. Despite some random fluc-
tuations, the dose-response gradient is clearer, implying
that this may be a useful single variable for representing
ETS exposure (Table 4). Nevertheless, with two vari-
ables for different facets of ETS exposure, time since end
of exposure appears to be a more consistent indicator of
risk in our study base than variables based on duration
(Table 5).
We present all results adjusted for occasional smoking,
occupational exposure, urban residence, and diet. We
further evaluated confounding by these factors in various
models, using different categorical and continuous met-
rics, without finding any indication of confounding.
Discussion
The biologically relevant exposure to ETS with regard to
lung cancer is probably determined by duration, inten-
sity, timing, and other factors. Previous studies have used
"smoking spouse" as an exposure measure and often have
included some measure of intensity or cumulative expo-
sure. Exposure time window has seldom been addressed,
despite evidence from active smoking that indicates that
recent exposure is important.ls-" Such analytic strate-
gies presuppose continued exposure with moderate in-
tensity variation, or at least exposure into the relevant

Epidemiology May 1998, Volume 9 Number 3 ETS AND LUNG CANCER 305
TABLE 3. Relative Risk of Lung Cancer Associated with Reported Exposure to Environmental Tobacco
Smoke from Spouse
or Work in Low- and High-Exposure Groups, Men and Women Combined
Variable Cases Controls RR* 95% Cl*
Average daily reported exposure from spouse
Unexposedt
66
127
1
<10 cig/day#,§ 40 83 0.96 0.57-1.61
>10 cig/day 15 24 1.16 0.55-2.45
Total duration of exposure to spousal ETS
Unexposedt
66
127
1
<30 years§ 39 74 1.01 0.60-1.70
'30 years 19 34 1.14 0.56-2.29
Total weighted duration of exposure to spousal ETS ("hour-years")1f
Unexposedt 66 127 1
<90 HY§ 36 84 0.85 0.50-1.44
'i 90 HY 16 23 1.25 0.59-2.66
Cumulative reported exposure to spousal fiTS (pack-years smoked in subject's presence)JI
Unexposedt 66 127 1
<9 PY#§ 35 82 0.84 0.49-1.43
;-_9 PY 20 25 1.53 0.76-3.09
Total duration of exposure to ETS from work
Unexposedt
27
69
1
<30 years§ 66 130 1.40 0.76-2.56
Z-_30 years 31 36 2.21 1.08-4.52
Total weighted duration of exposure to ETS from work ("hour-years")[J
Unexposedt 27 69 1
<30 HY§ 57 120 1.27 0.69-234
>30 HY 40 45 2.51 118-4.93
Total number of cases or controls varies slightly between analyses owing to missing data for some
subjects for the respective exposure variables.
* Relative risk (RR) and 95% confidence interval (CI) estimated by odds ratios obtained in multiple
logistic regression. Adjusted for matching variables gender, age,
and catchment area, as well as occasional smoking, vegetable consumption, degree of urban residence,
and years of exposure to risk occupations.
t Referent category.
t Cigarette-equivalents for pipe or cigar/cigarillo smoke exposure.
$ Cutoffs are rounded values to separate into the high-exposure group approximately the top 25% of
exposed controls.
U One "pack-year" is 365 packs, or the equivalent of 1 pack per day for 1 year; 1"hour-year" is 365
hours, or the equivalent of 1 hour per day for 1 year.
time window, which may have been reasonable assump-
tions for ETS in many settings.
The smoking prevalence in many western societies,
however, has declined among men over the last decades
but has increased among women.29 As reflected in our
data, women ever married to a smoking spouse are con-
sequently often no longer exposed to ETS at home.
Divorce or death of the spouse may also terminate home
ETS exposure, the latter more commonly among
women. On the other hand, more never-smoking men
are married to currently or recently smoking women. As
an example, a recent exposure assessment study in
Stockholm that included 182 subjects managed to re-
cruit only 10 men and 11 women with home exposure?°
Our data also indicate that the average amount smoked
at home among currently smoking men married to nev-
er-smoking women has decreased over the last decades,
whereas the opposite is true for women. These factors
can increase exposure misclassification, especially
among women. For exposure variables that fail to address
such exposure heterogeneity, any effect of spousal ETS
exposure may be difficult to discern.
Our study shows a clearer lung cancer effect for vari-
ables measuring ETS exposure in the work place. Indi-
vidual monitoring also indicates that in Sweden today,
work and home ETS exposure are of similar intensity for
those exposed, but work exposure is more common.30 If
recent ETS exposures are biologically most relevant, less
misclassification may result with variables of work expo-
sure. This possibility offers one explanation for the un-
expectedly higher RRs observed for work exposure than
for spousal ETS exposure among women in this and
several other studies.3-5,9,31-33
Our data indicate higher RRs for measures of spousal
ETS exposure in subjects below 70 years of age. This age
modification may reflect less misclassification owing ei-
ther to more accurate reporting or to better correspon-
dence with biologically relevant recent exposures (the
average time since last exposure was 14.5 years among
control subjects younger than 70 years, and 21.9 years
among those age 70 years or older). It could also reflect
a true age interaction. Our data also showed stronger
effects for exposure to spousal ETS among men than
among women. Although the confidence intervals are
wide, the finding may reflect that ETS exposures among
men are recent and of high intensity.
Our study provided an opportunity to investigate ex-
posure timing, owing to the variability in exposure pat-
terns. The analyses indicate that exposure continuing
into the recent 10- to 15-year period may be most
important, consistent with the decreased excess risk
demonstrated after stopping active smoking.is-17
Previously, only three studies have analyzed lung can-
cer risk and time since last exposure to ETS. One early
Greek case-control study34,35 used 0-4 years ago for
"current" exposure and 5 or more years ago for "former"

306 NYBERG ET AL
Epidemiology May 1998, Volume 9 Number 3
TABLE 4. Relative Risk of Lung Cancer Associated with Reported Exposure to Major Sources of
Environmental Tobacco
Smoke,* Men and Women Combined
I
Variable Cases Controls RRt 95% CIt
Years since last exposure from major source*
Never any major exposure$ 16
36
1
>20 20 51 1.04 0.46-237
11-20 30 53 1.41 0.65 3.06
3-10 26 52 1.12 0.50-2.50
0-2 32 43 2.12 0.91-4.92
Total duration of major exposure (years)§
Never any major exposure$ 16
36
1
1-5 9 24 0.98 0.35-2.75
6-20 32 65 1.23 0.56-2.70
21-34 34 56 1.51 0.69-3.32
34-45 21 31 1.60 0.68-3.75
>45 12 23 1.10 0.42-2.88
Highest duration category for either of the two major exposure sources1l
Never any major exposure$ 16
36
1
Lowest quartile of both 17 36 1.20 0.49-2.93
Max second quartile, in one or both 21 45 1.06 0.45-2.48
Max third quartile, in one or both 29 53 1.32 0.59-2.93
Max 75th-90th percentile, in one or both 19 40 1.20 0.51-2.80
Above 90th percentile in one or both 22 25 1.84 0.77-4-37
Hour-years'l of major exposure§
Never any major exposure$ 16
36
1
0<...:5.5 HY 9 23 0.98 0.35 2.73
5<...s22 HY 27 57 1.15 0.52-2.56
22<...s65 HY 30 58 1.31 0.60-2.85
65<...s120 HY 11 35 0.72 0.28-1.86
> 120 HY 25 24 2.50 1.05-5.92
Highest hour-yearslf category for either of the two major exposure sources1l
Never any major exposuret 16
36
1
Lowest quartile of both 11 28 0.96 037-2.50
Max second quartile, in one or both 30 53 1.33 0.61-2.93
Max third quartile, in one or both 17 55 0.72 0.31-1.68
Max 75th-90th percentile, in one or both 22 37 1.58 0.68-3.66
Above 90th percentile in one or both 28 26 2.52 1.08-5.85
Total number of cases or controls varies slightly between analyses owing to missing data for some
subjects for the respective exposure variables.
* Exposure from spouse or work.
t Relative risk (RR) and 95% confidence interval (CI) estimated by odds ratios obtained in multiple
logistic regression. Adjusted for matching variables gender, age,
and catchment area, as well as occasional smoking, vegetable consumption, degree of urban residence,
and years of exposure to risk occupations.
# Referent category.
§ Category limits among exposed are the 25th, 50th, 75th, and 90th percentiles of the distribution
among all controls.
IF One "hour-year" is 365 hours, or the equivalent of I hour per day for I year.
11 Calculated from the variables for environmental exposure from work or spouse separately, based on
quantiles of the exposed controls within each variable. Subjects
are classified into the category corresponding to the highest category for either of the two single
exposure quantile variables.
exposure, finding a crude RR of 1.9 in both groups.
Among exposed controls, 69.8% had "current" exposure,
and even most subjects with "former" exposure were
probably exposed within 5-10 years. In a Japanese case-
control study,36 "current" exposure was within 0-9 years
(49.4% of exposed controls), and "former" exposure was
10 years or more ago. The RRs were 1.8 (95% CI =
1.0 3.2) and 1.3 (95% CI = 0.9-2.4), respectively. In
an early Japanese cohort study37 on nonsmoking women,
91.1% of exposed person-years were for subjects with
current ETS exposure at the start of follow-up. From
reported changes in male smoking habits,37 an estimate
is that 70-80% of women "currently exposed" at base-
line had ETS exposure from a regularly smoking spouse
in the 10 years before the end of follow-up, compared
with 30-50% among women "non-currently exposed" at
baseline. The RRs were 1.45 (95% CI = 1.04-2.02) in
the "current at baseline/70-80% recently" exposure cat-
egory and 1.36 (95% CI = 0.85-2.18) in the "non-
current at baseline/30-50% recently" category.
The pathology review results are similar to those of
another large study of ETS and lung cancer38 and
make bias through misdiagnosis unlikely. Carcinoid
lung tumors were included, although they are often
considered not related to smoking.39 Nevertheless,
many reports also indicate a relation,4°-44 but it seems
weaker than for squamous and small cell cancers. ETS
as a risk factor for carcinoids has not been evaluated.
Furthermore, differences between mainstream and
sidestream smoke could give different risk profiles for
active and passive smoking, as proposed for adenocar-
cinomas.45-47
Among our never-smokers, 12 cases and 24 controls
had smoked 20-408 packs on an occasional basis (0.05-
1.12 pack-years), and of these, only 11 had smoked in
the last 10 years. These "occasional smokers" were in-
cluded in the analyses. We explored possible confound-
ing of the ETS relation using categorical and continuous
variables for occasional smoking, with no such evidence.
Confounding from other risk factors including urban
.::.~<

Epidemiology May 1998, Volume 9 Number 3
TABLE 5. Relative Risks* of Lung Cancer with 95%
Confidence Intetvaisi' for Exposure to Major Sources of
Environmental Tobacco Smoke (Spouse and Work), Men
and Women Combined. In Both Analyses, Subjects Unex-
posed to Either Source Constitute the Reference Group
Time since
Last
Cumulative Exposure (Hour-Years)t
Ex osure
(Years)
:522.9,t.
>22.9
>15$
3-15
0-2 0.83 (0.34-2.06)
1.30 (0.52-3.25)
2.25 (0.67-7.53) 1.11 (0.45-2.76)
1.32 (0.61-2.87)
1.87 (0.77-4.63)
Total Duration of Exposure (Years)
1-20$ >20$
>15# 1.13 (0.49-2.59) 0.98 (0.37-2.57)
3-15 1.14 (0.43-3.02) 1.39 (0.64-2.99)
0-2 2.27 (0.67-7.66) 2.09 (0.86-5.09)
* Estimated by odds ratios obtained in multiple logistic regression. Adjusted for
matching variables gender, age and catchmenc area, as well as occasional smok-
ing, vegetable consumption, degree of urban residence, and years of exposure to
risk occupations.
t One "hour-year" is 365 hours, or the equivalent of 1 hour per day for 1 year.
t Cutoff represents 50th percentile among controls.
residence, occupational lung carcinogens, and diet also
did not appear to explain the results.
Validation of the subject's ever-smoking status by
interview with next-of-kin showed very low misclassifi-
cation rates, and the discrepant reports reflected more
differing interpretations than true differences in the re-
ported smoking habits. Any effect on ETS estimates by
these levels of misclassification would be negligible.lal,2a
In conclusion, we found evidence of an effect of
adulthood ETS exposure on lung cancer risk, particularly
for occupational exposure. Exposure patterns for spousal
ETS were different between genders, and we found
clearer excess risks among men, who had higher expo-
sures more recently. Combining ETS exposure from
work and spouse provided the strongest evidence of
elevated risks in high-exposure groups and of recent
exposure as a major determinant of lung cancer risk from
ETS exposure. Our findings are consistent with previous
Swedish studies48,49 and the continuing changes in smok-
ing habits observed in Sweden. They highlight the im-
portance of considering timing of exposure and exposuce
from different sources when studying lung cancer risk
and ETS exposure.
Acknowledgments
We are grateful for the cooperation of the departments of respiratory disease and
pathology of the participating hospitals, and of all staff who helped make this
study possible. We also thank Klaus-Michael MUller of the Institute for Pathol-
ogy, Berufsgenossenschaftliche Kliniken Bergmannsheil in Bochum, for careful
histopathologic review; Carin Cavalli-BjSrkman for dedicated field and data
collection work, as well as Inger Isaksson, Eva-Brict Gustavsson, Gun Johnsson,
Mette Lindevall and others at the Karolinska Institute for valuable contributions;
and Martin Kmus and Gilles Ferro at the International Agency for Research on
Cancer for programming support.
ETS AND LUNG CANCER 307
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