Philip Morris
Original Contributions Effects of Passive Smoking in the Multiple Risk Factor Intervention Trial
Fields
- Author
- Kuller, L.H.
- Martin, M.J.
- Ockene, J.K.
- Svendsen, K.H.
- Martin, M.J.
- Type
- PSCI, PUBLICATION SCIENTIFIC
- BIBL, BIBLIOGRAPHY
- CHAR, CHART, GRAPH, TABLE, MAPS
- BIBL, BIBLIOGRAPHY
- Area
- SCIENTIFIC AFFAIRS/BLACK LATERAL OLD S&T
- Document File
- 2023511660/2023512308/Ets: Heart Disease 930900
- Litigation
- Okag/Privilege Withdrawn
- Okag/Produced
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- EXTR, EXTRA
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- R529
- Named Organization
- Coordinating Centers Biometric Research
- Author (Organization)
- Univ of Pittsburgh
- American Journal of Epidemiology
- Coordinating Centers Biometric Research
- San Francisco General Hospital
- Univ of Ma Worcester
- Univ of Mn Minneapolis
- American Journal of Epidemiology
- Named Person
- Svendsen, K.H.
- Master ID
- 2023511661/2307
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Document Images
AMERICAN
Journal of Epidemiology
Fwnw +h Al¢RIG1N )O(JLWAL OF Hy!GgNB
O 1987 by The Jomns Hopkina Univenity Schooi of Hygiene and Public H.a/tb'
roR
VOL. 126 NOVEMBER 1987 NO. 5
Original Contributions
Y ! EFFECTS OF PASSIVE SMOKING IN THE MULTIPLE RISK FACTOR
!, INTERVENTION TRIAL
KENNETH H'. SVENDSEN,' LEWIS H. KULLER,' MICHAEI: J. MARTN' Avn
JilIDITH K. OCKENE'
Svendsen, K. H. (Coordinating Centers for Biometric Research, U. of Minnesota,
Minneapolia, MN 55414), L H. Kuller, M. J. Martin, and J: K. Ockens. Effects of
passive smoking in the Multiple Risk Factor Intervention Trial. Am J Epfdernlol
1987;126s763-95..
The Multiple Risk Factor Intervention Trial (MRF1T), conducted in 1973-1982,
provided a unique opportunity to study the effect of passive smoking on men
whose wives smoke. MRFiT participants who nsported at entry tfW they had
never smoked tobacco products were classified according to the smoking status
of their wiwes. Men with wives who smoked had similar mean levels of serurn
thiocyanate (54.3 vs. 53.9 µmol/liter, p = 0.83) but higher mean levels of expired
urbonmonoxide (7.7 vs. 7.1 ppm, p = 0:001). Lower levels of pulmonary function
(by maximum forced expiratory volume in one second) were also observed in
these men 1 (3,493.1 vs., 3,591.9 ml, p = 0.04). The relative risks, for men whose
wives smoked compared with men whose wives did not smoke, for the endpoirtls
coronary heart disepse death; fatal'or nonfatal coronary heart disease event, and
deathfrorn any cause were 2.11 (p = 0.19, 95% ' confidence Interval (CI) 0.69-
6.46); 1.48 (p = 0.13, 9594 Cl 0.89-2.47), and 1.96 (p = 0.08, 95% Cf 0.93-4.11),
respectively.lMhen smokers who quit prior to entry were included in the analyses,
the relative risks, for men whose wives smoked compared with men whose wives
did not smoke, for the above endopoints were 1:45 (p = 0.25, 95% C10.77-2.73),
1.19 (p = 0.29, 95% CI 0:85-1.65), and 1.72 (p = 0.01, 95% CI 1.12-264),
respectively. These relative risk estimates did not change approckbfy after
adjusting for ofher baseline risk factors. The results suggest that passive expo-
sure to cigarette smoke may have a deleterious Impact on the health of non-
smokers and that nonsmokers may be at an incrsased risk of death 1Maqh
passive exposun to cigar.tte smoke.
eoronary disease; ',tiobacco smoke poQuUon
x:
Passive smoking is defined as exposure ing from another person's tobacco smoke.
of an individual to the air poilution result- The products of tobacco smoke are divided
Received for publication September 3; 198fi; and'in one eecond; MRFIT, Multiple FWk Factor Interven-
final form January 21, 1987: tion Trial:
Abbreviationa: FEV;, forced eryiratory volume in ' Coordinsting Centers for Biometric Research,
783

I
784
SVENDSEN ET AL
into two components. Those directly ex-
haled by the smoker are called mainstream
smoke, while those from the lit end of the
cigarette, cigar, or pipe which are dis-
charged into the environment are referred
to as sidestream smoke. The composition
of sidestream smoke (1) differs substan-
tially from that of mainstream smoke, de-
pending upon the different temperatures at
which the substances burn and' the avail-
able oxygen supply. Particulates, for ex-
ample, are about 10 times greater in main-
stream~ smoke than in sidestream smoke.
After inhalation, sidestream smoke prob-
ably reaches the more distant alveolar
spaces in the lung (2). Sidestream smoke
also contains much more free nicotine in
the gas phase, generates more carbon mon-
oxide (1) and contains mu& higher con-
centrations of the reduced products of ni-
trogen including several highly carcino-
genic substances (3). Most environmental
tobacco smoke is from sidestream smoke,
and only a very small amount is from ex-
haled mainstream smoke. Environmental
exposures to tobacco smoke depend on the
number of smokers im the area and the
amount they smoke, the size of the area,
and the ventilation rate.
It is now an accepted fact that cigarette
smokers have an increased risk of many
diseases. In recent years, there has been~ a
growing concern that nonsmokers exposed
to environmental tobacco smoke may also
be at increased risk of certain diseases,
especially cancer, chronic obstructive pul-
monary disease, and, possibly, heart' dis-
ease.
Friedman et al. (4) reported that 63.3 per
cent of adults were ezposed' to passive
Di.vion of Biometry ;, School of Public Health. Uni-
venity of Minnesota. Minneapolis, MN.
' Graduate School! of Public Health, University of
Pittsburgh, Pitt.burgh. PA.
' Clinical Epidemiology Program, San FYanciaco
General Hospital, San Francieco, CA.
' Department of Preventive and Behavioml Medi-
eine, University of Massachusetts Medical' Center,
worceeter. MA.
Reprint requests to Kenneth H; Svendben, Coor-
dinating Centers for Biometnc Researeh, Suite 508,
2829 University Avenue S.E., Minneapolis, MN'55414.
smoking for at leastone hour per week. A
higher percentage was exposed away from
home, usually at work. Repace and Lowrey
(5) have estimated that the exposure to
environmental tobacco smoke of the non-
smoking adult population was about 1.43
mg of tar per day. A cigarette smoker, on
the other hand, can be expected to inhale
about' 420 mg of tar per day (14 mg of tar
per cigarette for an average of 30 cigarettes
per day). Thus, the dose from passive smok-
ing is much less than the dose from ciga-
rette smoking.
Studies on passive smoking reported to
date have depended on self-report.e&histo~
ries of environmental tobacco smoke ex-
posure. A workshop on the respiratory ef-
fects of enviro~ ental tobacco smoke in
1983 sponsored'by the Division of'~ Lung
Diseases at the National Heart, Lung, and
Blood Institute (6)! noted that'~ lack of objec-
tive measures of dose or exposure, con-
founding variables, methods of statistical
analysis,, and quantificat'ion~ of other vari~
ables were major concerns in the evaluation
of current and future studies.
Participants in the Multiple Risk Fact~)r
Intervention Trial (MRFIT) (7)! offered an
unusual opportunity to study the effect of
environmentali tobacco smoke on, men es-
peciallyy inithe home. Objective measures of
cigarette smoking behavior, as wellias other
critical risk factors for cardiovascular and
other diseases, were carefully monitored in
a large population followed for an average
of seven years. Fortuitously, at entry into
the study, prior to randomization, a de-
tailed smoking history was obtained for
each of the participants subsequently ran-
domized. This history included not only
their own smoking history but also that of
their wives, family members, and cowork-
ers. This trial, to our knowledge, is the first
longitudinal study that was able to objec-
tively define the participants' smoking sta-
tns and possible exposure to environmental
tobacco smoke. The study design was also
unique because the index subjects were men
who did not smoke and who were at high
risk of heart disease, and the exposure in-
~

I
I
I
EFFECTS OF PASSIVE SMOKING
dex was the smoking behavior of their
wives..
MATERIALS AND ME'I'HDDS'
The Multiple Risk Factor Intervention
Trial was a primary prevention trial de-
signed to test the effect of a multifactor
intervention program on mortality from
coronary heart disease.
The design of the MRFIT has been de-
scribed (7). Briefly; men aged 35-57 years
were recruited in 18' US cities. They were
screened to select those in the upper 10-15
per cent of' a risk score distribution deriveti
from Framingham data, based on serum
cholesterol concentration, cigarette smok-
ing, and diastolic blood pressure. Those free
of overt' coronary heart disease by history
and resting electrocardiogram who con-
sented to participate were randomized to
either the special intervention or usual care
groups. After randomization~ special inter-
vention men participated in an intensive
intervention program aimed at lowering
blood cholesterol' by nutritional means,
eliminating cigarette smoking through ed-
ucation and behavior modification tech-
niques, and reducing the diastolic blood
pressure of those who were hypertensive
primarily by using a stepped-care drug reg-
imen. Usual care participants were referred
to their customary source of medical care
with information on their risk factor status
but with no~adviee as to intervention. Both
special intervention an& usual care partic-
ipants were seen annually over six to eight
years for risk factor measurement and a
medical ezamination. A detailed smoking
history was obtained' from all participants
during screening and'at each annual'visit.
This paper focuses on the effects of pas-
sive smoking on participants who reported
that they did not smoke cigarettes, pipes,
cigars, or cigarillos prior to randomizationn
into the trial. Most analyses are restricted
to men who had never smoked cigarettes.
Endpoint results are shown for never smok-
ers and~ all nonsmokers at entry; non-
smokers included never smokers and ez-
smokers who quit prior to entry into~ the
785
study. Data on the smoking habits of the
participants' wives were collected at base-
line for participants who smoked and those
who di& not smoke. The smoking status of
the wife is used as an index of passive
smoking exposure for the men who di& not
smoke. Only a limited' amount of informa-
tion was collected about exposure to to-
bacco smoke on the job. Participants were
asked the smoking status of their cowork-
ers. The results of all'~ analyses presented
are for the special intervention and usual
care groups combined. Separate analyses
for each study group yielded similar results.
Measurernents of smoking exposure
Serum thiocyanate was measure&duringg
screening and at each annual visit. In the
planning stages of the MRFIT, it was rec-
ognized that special intervention partici-
pants who were repeatedly urged to stop or
reduce smoking cigarettes might be more
likely to misreport their cigarette smoking
status than usual care participants. Serum
thiocyanate is elevated in smokers because
of the cyanide present in tobacco smoke
which is metabolized to thiocyanate. The
half-life of serum thiocyanate is approzi-
mately 14 days, reflecting long-term expo-
sure to cigarette smoke.
At the th'srd~ and' sixth annual examina-
tions, expired air carbon monoxide was
measured, using an ecolyzer (series 2000,
Energetics Science, Inc., Elmsford, NY),
which permitted~ a visual meter reading on
a 0-104 parts per million (ppm) scale. The
levels of expired air carbon monoxide are
directly related to carbozyhemoglobia in
the bloodi The half-life of elevated carboxy-
hemoglobin levels after exposure to envi-
ronmental carbon monoxide is only two to
four hours; thus, its measurement reflects
only very recent exposures. Other factors,
especially any incomplete combustion of
carbon-containing substances, can increase
environmental carbon monoxide levels and
blood carbozyhemogiobin levels.
Pulmonary function testing was con-
ducted at screening and at each annual
ezamination using a 10-L Stead Wells

I
786 svErDsEh Er A.L
water-filled spirometer (Warren E. Collins,
Inc., Braintree, MA) i The forced expiratory
volume in one second (FEV1) is defined as
the voltime of gas exhaled over an interval
of one second, with ezpiration as rapid and
as complete as possible. The selection of
tracings for analysis was based on carefuli
quality control standards defined prior to
the current' analyses. The maz.imum of
three to five measurements meeting quality
standards (maximum FEVI), adjusted for
age and height, is used to quantify pulmo-
nary function in this paper. The quslity
control procedures and measurement tech-
niques are described in detail elsewhere (8).
Endpoints
Classification of cause of death was. per-
formed by a committee of three cardiolo-
gists who were unaware of treatment as-
signment (special intervent'ion f usual care)
or passive smoking status. They used hos-
pitalrecords, physicians' reports, nert-of-
kin interviews, death certificates, and au-
topsy reports, when available. Coronary
heart disease deaths were subclassified as
1) documented myocardial infarction; 2))
sudden death within 60 minutes, or be-
tween one and 24 hours of symptom onset,
without documented myocardial infarction;
3)' congestive heart failure due to coronary
heart disease; or 4) death associated with
surgery for coronary heart disease. Resultss
are aiso presented for the endpoint fatal' or
nonfatal coronary heart disease event. Thiss
endpoint includes coronary heart disease
death, serial change from baseline on a
resting electrocardiogram, and/or docu-
mented evidence of myocardial infarction
from a review of hospital records by a panel
of physicians (9).
Statistical methods
Differences in baseline characteristics
and changes in risk factor levels from base-
line to the sixth annual examination for
men who did not smoke who had wives who
smoked'versus men who did not smoke who
had wives who were also nonsmokers were
tested for statistical significance using the
Student's t test (two-sided) or the 2 x 2
chi-square tesL. For comparison of mea-
sures of smoking exposure between the two
groups, mean levels of thiocyanate and the
maximum FEV, were calculated for base-
line and the average of baseline and all
foll'ow-up visits. The latter results in im~
proved precision but smaller sample size.
The maximum FEV, means were adjusted
for age and height by analysis of covariance.
Mean levels of expired air carbon monozide
were calculated for year 3 and the average
of years 3 and 6. Differences in the means
between the two groups for thiocyanate and
expired air carbon monoxide were assessed
by the Student's t test. Differences in the
adjusted means for maximum FEV, were
assessed by analysis of covariance. Tests
for a dose effect of smoking exposure were
performed using regression models with
number of cigarettes smoked per day re-
ported by wife as an independent variable.
Relative risk estimates, for men whose
wives smoked compared with men whose
wives did not smoke, for the endpoints
death from any cause, coronary heart d+.s-
ease death, and fatal or nonfatal coronr: i,
heart disease event were calculated using
the Cox proportionali hszards model (10))
with Breslow's approximation (11)~ Results
are shown both unadjusted and adjusted for
age,, baseline blood pressure, cholesterol,
weight, education (as a measure of socio-
economic status), and drinks per week.
RESULTS
Sample size
There were 1,4001 of 12,866 randomized'
participants who reported that they ha&
never smoked cigarettes, pipes, cigars, or
cigarillos at entry into the MRFIT. Of these
never smokers, 1,245 were married; 286 to
women who smoked and 959 to women who ~
did not smoke (table 1). Q
Comparabiiity of neuer smokers by smoking N
status of~ui(e ~
Baseline characteristics of these 1,245 }.i
men by smoking status of wife are sum- ~.i
FV

EFFECTS OF PkS51'VE SMOKING 787
marized in table 2: The two groups of men
are similar with respict to age, blood pres-
sure, and cholesterol. The average weight
for men with wives who smoked was 4.2
pounds greater than that of men whose
wives did not smoke (p <0.01)'. Men whose
wives smoked consumed an average of 2.1
more alcoholic drinks per week (p < 0:01)
and had' 0.5 years less formal' education
TAecs 1 than men with wives who did not smoke (p
Frequency d;.,rrtbuuion of smoking status at encry- < 0.05). Income was similar between the
Multiple Risk Factor Intervention Trial, 1973-/982 groups. Table 3 shows risk factor changes
Smokers' 9,244 71.8
Ea-smokers 2,222 17:3
Never smokers 1,400 10.9
Not married 155 1.2
Wife a nonsmoker 959 7.5
Wife a smoker 286 2.2
Total 12:866 100.0
Includes smokers of cigarettes, pipes, cigars, or
cignrillos.
and the percentage of men prescribed anti-
hypertensive medications at the sixth an-
nual examination by smoking status of
wife. There were no statistically significant
differences between the two groups.
Comparisons of smoking exposure
Mean serum thiocyanate levels at base-
line and the average of baseline and all
annual' follow-up visits are shown in table
TAat.l: 2'
Mean values of selected variables at entry /or 1.245 men urho reported never smoking
ci8arrertespipes, cigars, or
cignrillos, by smoking status of mi(e at entry: Multiple Risk Factor Intervention Trial,' 1973-1982
Smking status of wife 95%
Smoker
(n - 286) Nonsmoker
(n - 959) Differsooe' ooebdence
intsrval
Age (years) 1 47:4 47.5 -0.2 -1.0-0.6
Diastolic blood preeaue (mmHg) 103.3 103,1 0.2 -0.4-0.9
Systolic blood pressure (mmHg) 152.3 ' 150~8 1.5 -0.4-3.4
Serum cholesterol (mg/dl)' 266.0 264.4 1.6 -2.3-0.5
High density lipoprotein cholesterol (mg/dl) 43.4 42.7 0.7 -0.7-2.0
Low density lipoprouin cholesterol (iag/dl) 166.5 167.1 -0.6 -5.0-3.9
Weight (lbs)' 194.6 190.4 4.2 0.6-7:8
Drinks/week (n) 9.7 7:6 2.11 0.8-3.3
Education (years) 13.8 14.2' -0.5 -0.9-0.0
Income (1,0005) 22.1 22:3 -0.1 -1.4-1.2
' Difference may not agree because of rounding.
TAata 3
Mean change in selected uariables (sixth annual minus baseline uanunation) for men who reported
never
smoking cigaretter, pipes, cignrs, or cigariLds, by smoking stahu of wife at entry: Multiple Risk
Factor
Intertxntion Tri4 1973-1982
Smoking status of wife 96%
Smoker
(n -266) Nonsmoker
(n - 889) Difference oonfideaa
intervalI
Diastolic blood pressure (mmHg)', -10.1 -9.9 -0 3 -1.7-1.1
Systolic blood pressure (mmHg) -12.6 -13.6 1.1 -1.1-0.2
Plasma cbolesterol (mg/dl). -11.4 -11.0 -0!4 -4.7-3.9
High density lipoprotein cholesterol!(mg/dl) -1.4 -0.7 -0!7 -1.9-0.5
Low density lipoprotein cholesterol (mg/dl) -10.8 -10.4' -0!4 -4.4-3.7
Weight (lba) -2.2 -2.5 0!3 -1.4-2.0
Drinks/week (n) -2.7 -2.1 -0:6 -1.7-0.4
On antihypertensive medication (96) 66.5 62.5 4.0 -2.7-10.6

798
SVENDSEN ET Ai..
4 by smoking status of wife. The mean
thiocyanate levels are similar for the two
groups, both at' baseline and averaged over
aIli visits..
El pired air carbon monoxide was mea-
sured at the third and sixth annual exami-
nations. The average expired air carbon
monoxide at the third annual examination
for men whose wives smoked was 7.7 ppm
compared with 7.1 ppm for men whose
wives did not smoke (table 5). The differ-
ence, 0.6, is statistically significant (1p =
0.001), as is the test for linear trend (p =
0.03). Similar results were obtained when
the averages of the third and sizth annual'
carbon monoxide measurements were com-
bined.
Men with wives who smoked had signif-
icantly lower levels of puImonary function
at baseline as measured by the maximum
FEV, (table 6). The mean maximum FEVy
is 3,493.1 ml for men whose wives smoked
versus 3,591.9 for men whose wives did not
smoke, a difference of about 100 ml. Similar
results were obtained when averaging over
all visits, although the difference between
the two groups was not statistically signif-
icant (p = 0.16).
Endpoint results for never smokers
Table 7 gives the event rates by smoking
status of wife and table 8 shows the relative
risk estimates (for men who did not smoke
whose wives smoked compared' with those
whose wives did not smoke) for the end-
points death from any cause, coronary
heart disease death, and fatal or nonfatal
coronary heart disease event.
TAB[s 4
Mean leveLs of rhiocyanate (Kmol/liter) ar baseline and average over all'virits for men who reported
never
snurking cigarerre.s, pipea, cigan, or eigarillos, by .xrwking statw of wife at entry. Mukiple Risk
Factor
fnteruention 7}iaf, 1973-1982
Ba.eline Ayerage over all visits
Smok'in` .utus of wife - -
n Mean n A;rr
Nonsmoker 878
Smoker 264
1-19 cigerettee/day 125
220 cigarettes/day 139
53.9 704 51.G
54.3 212 52.3
54.0 102 51.6
54.6 110 52.9
Smoker/nonsmoker difference 0.4 (-3.7; 4.6)' 0.7 (-2.7, 4.0)',
p value for linear trend 0.99 0.55
95% canfidence limits.
TAat.c 5
men who
Meon e~ire d air mrbon monazidt (pprn) at the thind anrwa! visir and averuge over all visiLr for
reported'never smoking cigarettes, pipes, ci8ar:, or cigariUvs.,by smoking status of wife at entry`
Multipk Risk
Factor Intervention T}ia 1973-1982
Smkin~ ta:r o(wife
T6ied annual .vit
n Mun
Nonsmoker 828 71
Smoker 244 7:7
1-19 cigarettes/day 112 7:7
220 ciQaretru/day 132 7:8
Smoker/nonsmoker difference 0.6 (0:2. 1.0)'
p value for linear trend 0.03
' 95:'u confidence limits.
Avrrate wer al] ivi.itm
n Mean
760 6.7
228 7:1 ~
106 7.1
122 7:2
~
0.5 (0.2, 0:7))
<0.01 ~
W
~
T

EFFECTS OF PASSIVE SMOKING 789
3
8
~
I
I
TAeix 6
Mean mazimum FE V, ,(m1) adjusted /or age and height at bcseline and average ouer a!l uiuiti for men
who
reported never smoking cigaretiei, p+pes, cigars, or cigarillos, by smoking status o( wi/e at entry:
Multiple Risk
Factor 1'ntervention Tria4 1973-1982
Smoking wtw of wife
Baseline Average over alI visi4
n Mean n M.an
Nonsmoker 514 3,591.9 257 3,491.3
Smoker 162 3,493.1 81 3,403.3
1-19 cigarettes/day 66 3,412.1 31 3,263.3
t20 cigarettes/day 96 3,548 8 50 3,489.0
Smoker/nonsmoter difference -98.9 (-192:4-5.4)' -87.8 (-210.7; 35.2)
p value for linean trend 0.52' 0.99'
' 95% confidence limits.
TABLE 7
Number of deaths /rom, any rasse and from coronary heart disease and'jatal or nonfatal coronary
heart disease
events for men who reported'neuer smoking cigarettes, pipes, cigars, or cigarillos, by'smoking
status of wi(t at
entry:,Multip/e Risk Factor Intervention Tr~ 1973-1982
Smoking eutw No. Death from Coronary 'heart.
of wife of men any uuse dia..ue death
Fatal or nonfital
coronary beart
dise..e event
Nonsmoker 959 19 (2.83)' 8'(1.19) 48'(7,28)
Smoker 286 11 (5.55) 5(2.52) 21 (10.81)
1-19 cigarettes/day 133 3(3.21) 1(1.07) 8(8.70)
z20 cigarettre/dny 153 8(7.65) 4 (3.82) 13(12.71)
p value for linear trendY 0:08 0:04 0.20
' Rates per 1,000 person-years.
t From Cox proportional hazards regression using number of cigarettee smoked per day by.vife as a
covariste.
TAaLE 8
Relative risk estimates, , u i/e mho smoked compared with wife who did not smoke, and their 95 per
crru
eonjidence uuervaLs for men who reported never smoking cigarettes, pcpescigara, or cigari!los:
Multiple Risk
Factor Intervention Trial. 1973-1982
Endpomt Relatuve risk p value 95% rnnfidence interval
Death from any cause
Unadjusted 1.96 0.08 0.93-4.11
Adjustcd' 1.94 0.08 0.91-4.09
Coronary heart disease death
Unadjusted 2.11 0.19 . 0.69-~&46
Adjusted 2.23 0.17 0.72-6.92
Fatal or nonfatal coronary heart disease
eventi
Unadjusted 1.48 0.13 0.89-2.47
Adjusted 1.61 0.07 0.9fr-2.71
' Adjusted~ by Cox prnportionali haaards regression for age, baseline blood pressure, cholesterol,
weigbt,
diinks per week, and education.
As of February 28, 1982after an average married to nonsmokers (2.8 per 1,000 per-
of seven years of follow-up, 11 of 286 men son-years). There is some suggestion of a
married'to smokers had died (5.6 per 1,000 dose effect for the endpoint death from any
person-years)! compared with 19 of 959 men cause, with 3:2 deaths per 1,000 person-

I
790 SVENDSEN ET AL
years in the category wife smokes 1-19
cigarettes per day and 7.7 deaths per 1,000
person-years in the category wife smokes
20 or more cigarettes per day, although the
test for a linear trend was not significant
(p- 0.08).
The numbers are small for the endpoint
coronary heart disease deat'h, but they fol-
low the same pat+tern as those for the end-
point death from any cause. The coronary
heart disease death rate is 2.5 per 1,000
person-years for those whose wives smoked
compared' with 1.2 for those whose wives
did not smoke. The test for a linear trend
was significant (p = 0.04).
Among men~ with wives who smoked;
there were 10.8' fatal or nonfatal coronary
heart disease event' endpoints per1,000 per-
son-years versus 7.3 per 1,000 person-years
for those whose wives did' not smoke. The
event rate is higher for those whose wives
smoked 20 or more cigarettes per day com-
pared with those whose wives smoked 1-19
cigarettes per day, although the test for
linear trend for the endpoint fatal or non-
fatal coronary heart disease was noU signif~
icant.
The relative risk estimates, for men
whose wives smoked compared with men
whose wives did not smoke, for the end-
points death from any cause, coronary
heart disease death, and fatal or nonfatal
coronary heart disease event are 1.96 (1p =
0.08, 95 per cent confidence interval! (CI)
0.93-4.11), 2.11 (p = 0.19, 95 per cent C1
0.69-6.46), and 1.48 (p 6 0~:13,,95 per cent
CI 0.89-2.47), respectively. These relative
risks did not change appreciably after ad-
justing for other baseline risk factors.
Endpoint results for all nonsmokers.
Table 9 presents unadjusted and adjusted
relative risk estimates, for men whose wives
smoked compared with men whose wives
did not smoke, for the endpoints death from
any cause, coronary heart disease death,
and fatal or nonfatal coronary heart disease
event for all nonsmokers at entry; non-
smokers included' never smokers and e:-
smokers who quit prior to entry into the
study. For the endpoint death from any
cause, the relative risk estimate is 1.72,,
which differs significantly from 1.0 (p =
0.01, 95 per cent CI 1.12-2.64). For the
endpoints coronary heart disease death and
fatal or nonfatal coronary heart disease
event, the relative risk estimates are 1.45
(p = 0:25; 95 per cent CI 0.77-2.73) and
1.19 (p = 0.29, 95 per cent CII 0.85-1.65),
respectively. As with the analysis restricted
to never smokers, adjusting for baseline
risk factors did not change the relative risk
estimates.
Endpoint results by amoking exposure on
the job
Only a limited amount of information
was collected'about exposure tb tobaceo
'1'ASLE 9
Relatiue risk ertimates, mi/i who amoked'eompared with urite who did not smo/re, and their 95 per
cent
mnjidenett interuda for nonsmokera': Mukiple Risk Factor Intertrention 7}ial, 1973-1982
Endpoint Relative risk
Death from any nuse
Unadjueted
1.72
Adjusudfi 1.79
Coronary heart disese death
Unadjusted
1.45
Adjusted~ 1.59
FataJ or nonfatal coronary heart disease
event
Unadjusted
1.19
Adjusted 1.32
p value 95% aonSdence intsrva!
0.01 1.12-2.64
<0.01 1.17-2.76
0.25 0:77-2.73
0.15 0.84-3.02
0.29 0.85-1.65
0.10 0.95-1.84
Includes both never smokers and e:smokers who quit prior to entry into the trial,
t Adjusted by Cox proportional hazards regression for age, baseline blood preasure,
drinks per week, educationj and past smoking history.
cholesterol, weight,
r

EFFF.G 715 OF PASSIVE SMOICING 791
I
smoke on the job. The participants were
asked the smoking status of most of their
coworkers. Of 1,237 never smokers, 906
(73.2 per cent) reported that most cowork-
ers were smokers, and 331 (26.8 per cent)
reported that most coworkers were non-
smokers. The relative risk for the endpoint
death from any cause, for men whose co-
workers smoked compared with men whose
coworkers did not smoke, adjusted' for age
and wife's smoking status is 1.2 (p = 0.63,
95 per cent CI 0.5-1.8). For the endpoint
coronary heart disease death, the relative
risk is 2.6 (p = 0.23; CI 0.5-12.7), and' for
fatal or nonfatal coronary heart disease
event, the relative risk is 1A (p = U6; CI
0.8-2.5).
Because of the small number of deaths,
the joint impact of a spouse who smoked
an&coworkers who smoked was estimated
only for the endpoint fatal or nonfatal cor-
onary heart disease event. The risks for the
categories wife and coworkers who smoked,
wife who smoked and coworkers who did
not smoke, and coworkers who smoked and
wife who did not smoke relative to the
category wife and coworkers who did not
smoke are 1.7 (p = 0.14, 95 per cent CI 0.8-
3.6), 1.2 (p = 0.75, 95 per cent CI 0.4-3.7):,
and 1.0 (p = 0.99, 95 per cent CI 0.5-1.9):,
respectively;
DlscusstoPt
To our knowledge, this is the first longi-
tudinal study of' the relation between pas-
sive smoking and total and coronary heart
disease mortality that has included mea-
sures of other major risk factors, objective
monitoring of smoking behavior in a well
defined population at risk, and a careful
unbiase& ascertainment and evaluation of
causes of death. Our findings, which sup-
port the hypothesis that passive smoking is
associated with an increase in morbidity
and mortality among nonsmokers, are dis-
cussed below.
Thiocyanate levels did not vary by envi-
ronmental tobacco exposure. This finding
is similar to that reported by Friedman et
al. (4). In other studies, conducted~ in smok-
ing chambers, a direct dose-response rela-
tion between exposure to tobacco and the
cotinine levels in saliva, urine, and blood
was found (12).. Jarvis et al. (13) also found
a positive correlation between urinary co-
tinine levels and'self-reported ezposures to
sidestream cigarette smoke. Similar find-
ings using urinary cotinine were noted by
Mat'sukura et al. (14) i and Wald et ali (15).
In these studies, the differences in bio-
chemical levels by environmental exposure
were small compared with the differences
between smokers and nonsmokers. For ex-
ample, Wald et al. reported that the median
urinary cotinine levels were 1,645 ng/m]!in
cigarette smokers, 6 ng/m11 in nonsmokers
exposed to environmental tobacco smoke,,
and approximately 2 ng/ml in nonsmokers
not so exposed.
The increase in ezpired' air carbon mon-
ozide resulting from passive smoking is rel-
atively small even if statistically significant
and in and of itself is of relatively little
biologic significance. The increase probably
reflects exposure to environmental tobacco
smoke (16). The half-life of expired air
carbon monoxide is somewhat short,
around four hours. The men may have been
exposed to their wife's tobacco smoke at
home prior to going to the clinic for their
annual examination or while traveling by
car to the clinic. The differences in ezpired'
air carbon monoxide or blood carboxyhe-
moglobin levels may have been substan-
tially greater immediately after exposure to
environmental tobacco smoke. The differ-
ences presented here also may be conser-
vative because of the fact' that the smoking
status of the participant's wife was avail-
able only at baseline. By the time carbon
monoxide was measured, some wives who
were smokers may have quit, while others
who were nonsmokers may have restarted.
This type of misclassification would tend
to decrease any observed difference in car-
bon monozide.
The health effects of exposure to low
doses of carbon monoxide are not known~
at present. Earlier studies have reported'
that individuals with cardiovascular disease

I
t
792 SVENDSEN Er AL.
(17, 18) have an adverse response to rela-
tively low doses of environmental carbon
monoxide. There has been controversy con-
cerning these findings (19, 20), however,
and the studies are currently being repeated
in different laboratories. It is possible that
transient elevations of carbon monoxide
due to environmental tobacco smoke in
high-risk individuals may be associated
with an increased risk of heart attacks and
perhaps cardiovascular deaths. The major-
ity of sudden and unezpect,ed deaths in the
community occur at home (21). The acute
precipitant of many of these heart attacks
is unknown but could relate to certain in-
door air pollutants. Occupational studies
(20) ~ of exposure to carbon monoxide and
risk of heart attack have been equivoca] in
their results, as have community studies of
the relation between ambient carbon mon-
oxide and coronary heart disease mortality
(22).
. There have been a few studies of pulmo-
nary function and' exposure to passive
smoking among adults (23-28). Three stud-
ies in the United States (23), France (24),,
and Holland (25) have demonstrated de-
creased pulmonary function among pas-
sively exposed individuals, with usuallyy
about a 1OO- ml difference in FEVI, betweenn
the passively exposed compared with the
nonexposed nonsmokers. A study in Ha-
gerstown, Marylan& (26), noted that 5 per
cent of nonsmoking men not passively ex-
posed and 7.1 per cent of those passively
exposed had FEV, less than 80 per cent
predicted (relative risk of 1.4). The relative
risk was not statistically significantly dif-
ferent from one. Forty families were iden-
tified in a study of three communities in
the United States in which the mother was
a smoker and the father a nonsmoker (27).
There was a statistically significant de-
crease in the mean residual FEVI for the
fathers married to women who smoked
compared with those married to women
who did not smoke. The effect was, how-
ever, substantially reduced when tha ez-
smoking men were excluded. A recent re-
port from the Federal Republic of Germany
(28) also failed to demonstrate any effect
of passive environmental tobacco smoke on
pulmonary, function among a rel atively
young occupationai; cohort. There was also
no apparent effect from direct cigarette
smoking on~either the forced vital capacity
or FEVy. Lebowitz et al. (29), in several
studies in Arizona, have been unable to
demonstrate any effect of environmental
tobacco smoke on pulmonary function
among adults who do not smoke.
The approximate 100-m1 differences in
the FEV', at baseline as noted' in table 6 are
consistent with those of several of the other
larger studies previously discussed (23-25).
It is unlikely that the relatively small dif-
ferences in pulmonary function in our study
can contribute substantially to chronic ob-
structive pulmonary disease or disability. It
is possible, however, that there is a subset
ofind'ividuals in whom a hypersensitivity
to environmentali tobacco smoke causes
further progression of pulmonary disease
and disability:
The excess total' and coronary heart dis-
ease mortality and morbidity amoni,
MRFIT men who were exposed to environ
mental tobacco smoke is further evidence
of a potential! serious health risk for a large
segment of the nonsmoking population. Inn
the MRFIT study, 23 per cent, of the men
who did not smoke were exposed at home
to the environment;al tobacco smoke of
their wives (table 1). As noted, a study by
Friedman et al. (4) has suggested that up
to two thirds of nonsmokers are exposed to
environmental tobacco smoke. At present,
the number of cancer deaths in this study
is too small to allow any evaluation of the
relation between environmental tobacco
smoke and specific cancer and other causes
of death.
Other studies have evaluated the relation
between environmental tobacco smoke and ~'
lung or other cancers. 1*learly al1 the cancer ~'
studies have been case-control studies (30- N'
36). The cases have usually beea lung or W
other cancers and the controle either hos- ~
pital patients, community residents, or ~
friends of the cases. Practically all the stud- ~
~
~
r
