USC Tobacco Industry Monitoring Project Collection
EVIDENCE OF A MULTIPLICATIVE EFFECT BETWEEB [sic ] CIGARETTE SMOKING AND OCCUPATIONAL EXPOSURES IN THE AETIOLOGY OF BLADDER CANCER
Abstract
Medical journal article in Cancer Letters, discussing evidence of cigarette smoking's link to bladder cancer.
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Cancer Letters, 14 (1981) 285-290 .285
Elsevier/North-Holland Scientific Publishers Ltd.
EVIDENCE OF A MULTIPLICATIVE' EFFECT BETWEEN CIGARETTE
SMOKING AND OCCUPATIONAL EXPOSURES IN THE AETIOLOGY
OF BLADDER CANCER
P. VINEISa, N. SEGNANb, G. COSTAb and B. TERRACINIa
°Unit of Cancer Epidemiology, University of Torino and Torino Main Hospital and
bHealth Adn:inistration, City of TorinoTorino (Italy)
(Received 31 July 1981)
(Revised version received 14 September 1981)
(Accepted 17 September 1981)
SUMIbIARY
A case-control study on urinary tract cancer in men is ongoing in the
Province of Torino. The analysis of tobacco smoke and occupational histories
of the first 225 case-control pairs is described lThe overall relative risks (RR)
for tobacco smoke and for occuoations known to entail a risk for bladder
cancer were respectively 4.3' (a5%confidence limits (C.L.) 2.4--9.3) and 1.7
(1.0-2 i). There was a clearcut dose-response relationship between different
categories of cigarette consuraotion and risk for urinary tract cancer. For
each level of cigarette consumption, relative risks were compared between
men reporting and' non-reporring occupations at risk. This analysis suggested
a multiplicative effect between rhe 2 factors/
INTROD U C'i'ION
Tobacco smoke is know:l to be carcinogenic for the human urinary tract.
Several cay=-control an& ronorr studies have shown an overall RR in the
order of 2-3, with a direcr dose-re-sponse relationship [25]. The well-known
bladder carcinogens [12] 2-naphthylamine and 4-aminobiphenyl have been
found in tobacco smoke [25; and the intake of a smoker of 20 unfiltered
cigarettes per day has been estimated~ to be in the order of 3 mg 2-naphthyl-
*This study was supported by the ltalian Ligue Against Cancer, the Italian Association
for Cancer Researcn, the Health Administration of Torino and the Italian National
Research Council ;contract no. 80:02312:96).
Address all cor, espondence to: Dr. Paolo Vineis, Servizio di Epidemiologia dei Tumori
Universita di Torino e Ospedale Maggiore, via Santena 7, 101,26 Torino, Italy.
0304-3835/81 /0000-0000/502.7 5
01981 Elsevier/North-Holland Scientific Publishers Ltd.
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amine in 2 years [27]. However, an exclusive role of aromatic amines in the
bladder carcinogenicity of tobacco smoke is yet to be demonstrated. On the
other hand, an excess risk for cancer of the urinary tract has been shown
among workers engaged'in dyestuff manufacture [1,5,10,11,23], rubber and
--cable production [5,6,9,15], leatherwork [5,7], petrol refining [11,19],
gas plants [84, textile industry [1]. These associations are partly but not
totally explained by the presence of and exposure to carcinogenic aromatic
amines in the workplace. The risks associated with industrial exposures to
specific aromatic amines are reviewed in Ref. 12. The risk has decreased
where the use of carcinogenic aromatic amines was discontinued [2]; how-
ever, a risk has been shown for some occupations where these chemicals are
not used, such as men engaged in 'component building' in some English
rubber industries [2].
. The possible interaction between tobacco smoke and occupational
exposures in the aetiology of bladder cancer has been considered in
3 previous epidemiologic studies. One of them suggested an overall additive
effect, but RRs were not reported separately for the different categories of
cigarette smokers [4]. On the contrary, the study of Howe et al. [11], in
which models of logistic regression were applied, has suggested a multiplica-
tive effect between smoking and occupation. Finally, a small study indicating
an increased risk among workers in the electrolysis department of an alumi-
num reduction plant, also suggested a multiplicative effect with tobacco
smoke: risks (relative to 1.0 for non-smokers never employed in such activity)
were 1.8, 1.9 and 5.7, respectively, in non-occupationally exposed smokers,
occupationally exposed :ron-smokers and occupationally exposed smokers
[22].
New findings from an on-going case-control study seem to confirm thee
possibility of a more than additive effect between occupation and tobacco
smoke in the aetiology of bladder cancer.
personnel, c
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Ratios (notE
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RESULTS AN
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TABLE 1
DISTRIBUTIC
CONSUIMPTIC
Age-classes
Exposed to occ
<50 Ca.
Co
50-59 Ca:
Co
60+ Ca5
Co:
Non-exposed't(
<50 Caf
Co:
50-59 Ca'
Q Co:
~' 0 C~`
O
F+ 6
+ Co.
Ii 'As defined in

,
TABLE 1
RESULTS AtiD DISCUSSION
60+
50-59
{$
Cases 2
Controls 11
Cases 6
Controls 21
8As defined in the text.
Non-exposed to oceupa!ional'risirs.
<50 Cases 1! 7
Controls 5 8
Age-classes Average cigarette consumption
<I
DISTRIBUTION OF CASES AtiD CON-TROLS BY AGE AND AVERAGE DAILY
CONSUMPTION OF'CIGARETTES (AFTER AGE 20)
Exposed :o occupational risksa
Cases 0 3 1 5 0. 9
<50
Controls 2 ? 1 0 0 5
-59 C~es 1 3 13 2 0 19
50
Controls 2 2 6 1 0 11
+ V~s 0 4 11 1 2 18
60
Controls 0 10 2 1 1 14
8' 4 2 22
10 5 1 29
12 37 8 4 63
21 23 8 3 66
17 43 16 12 94
33 34 7 5 100
personnel, using a standard questionnaire covering lifelong smoking and
occupational histories. The latter were subsequently coded using pre-existing
codes for industrial'branches [13] and occupational titles [3]. Exposure-Odds
Ratios (noted as RRs) were age-adjusted with the Mantel-Haenszel method
[14]. In addition, RRs based on discordant pairs have been estimated when
occupationa.i' exposures alone were analysed. Ninety-five percent C.L. of
RRs were calcslated with the formula suggested by Miettinen [181:
RR' R,. = RR(i`)(a/Xp); Xp for pairs was McNemar's test [16].
As a preliminary analysis, RRs for tobacco smoke were determined
separately for incident and prevalent bladder cancers: within each category
(non~smokers, smokers of 1-9, 10-19, 20--29 and 30+ cigarettes/day) RRs
did not differ more than 15% between the two groups. Therefore, further
analyses were carried out on the whole series.
Employment for att least 6 months at any time during life in one or more
of the following industrial branches and/or occupational titles was considered
as 'occupational exposure': chemical industry; dye production; production
of tyres and' other rubber goods; petrol refining; gas plants; typographers;
0 z-J 10-19 20-29 30+ Totals
287
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TABLE 2
AGE-ADJUSTED RELATIVE RISKS ASSOCIATED WITH CIGARETTE SMOKE
(AVERAGE DAILY CONSUMPTION AFTER AGE OF 20) AMONG NONLOCCLTPA-
TIONALLY EXPOSED PEOPLE, OCCUPATIONALLY EXPOSED PEOPLE'AND IN
THE WHOLE SERIES'
Average Non-occupa- Occupation- Whole series (95% C.L.)b
cigarette tionally ally exposedO
consumption exposeda
Non-smokers 1.0 1.2 1.0
1-9 2.4 2.8 2.5 (1.1- 5.3)
10-19 5.4 11.1 5.9 (2.9-12.0).
20-29 ( ( 7.0 (3.0-16.3).
30+ ` 16.6 11.2 7.8 (2.9-21.2)
' Reference category: non-smokers non-occupationally exposed'~
b Reference category: non-smokers.
furnacemen; leather; shoe repair; textile. At least one of these activities was
reported by 46 cases and 30 controls, which corresponds to an RR of 1.7
(95% C.L. 1,0-2.7 ). Analyses restricted' to ages < 50, 50-59 and 60+ yielded,
respectively, RRs of 2.4 (1.7 8',0), 1.8 (0.8-4.1) and 1.4 (0.6-2.9). Nine-
teen cases and 10 controls (all in discordant pairs) had worked in the rubber
indusuy, thus entailing a R R of 1.9 (0.9-4.0).
Table 1 reports absolute numbers of cases and controls broken down by
age, tobacco smoke and occupational exposure. Table 2 shows the age-
adjusted RRs for cigarette smoke estimated: (1) from'non-occupationally
exposed people; (2) from occupationally exposed people; (3) in the whole
series. Age adjustment under (1) and (2) was made on only 2 age groups
(<50 and 50+ ) due to smail' absolute numbers in some cells of Table 1.
The overall RR for smokers compared to non-smokers was 4.8 (2.4-9.3):
this value is higher than those found in studies carried out elsewhere, possibly
bec--:a;e of the age limit of ': 0 years in the present study.
A1 further RRs were- ...mated assuming non-occupationally exposed
non-smokers as reference category. The relative risk for smokers (regardless
of the amount) was 4: z(2 ~2-3'.1) in non-occupationally exposed men vs.
6.8 ('2.9--15.6) in occsaaTionally exposed men. A dose-response relationship
jvith ciQa..rett.e smoke was present in both occupationally exposed and non-
exposed men (Table 2). The observed RRs given in Table 2 fit better with a
multiplicative statistical interpretation of the combined effect of smoking
and o=spational exposures. This is reminiscent of the interaction between
asbestos and' cigarette smoke in the aetiology of lung cancer [21] and between
smoke and alcohol in the aetiology of cancer of the larynx and oesophagus
[24,26].
A major problem of this kind of analysis is the difficulty in finding people
in extreme c
exposed nor
rate ratio []
difference b
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whether or i
ACKNOWLEI
The techr
edged.
REFERENCE
I Anthony,
of the occ
895.
2 Baxter, P.~.
76. Her M;
3 Bureau In-
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5 Cole, P., H
urinary trz
6 Davies, J.14
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7 Decoufle,
leather prc
8 Doll, R., V
report of a
..19~_ 9 Fox, A.J. :
O cablemakii
.
P.-\. "L4` -"L64.
tv vuiuwamr
C
.3 _.,. _i __a
.a..
r ..,, . F
11 Howe, G.F
Fm
various nu
M
%J

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26 Wynder, E.L., Covey, L.S.. Ivlabuchi, K. and Mushinski, M. (1976) Environmental
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