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ORIGINAL ARTICLES |
1 Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Bethesda, MD, USA
2 Centre for Research in Environmental Epidemiology/Institut Municipal d’Investigació Mèdica, Barcelona, Spain
3 Medical School, University of Crete, Heraklion, Greece
4 Universidad de Oviedo, Oviedo, Spain
5 Corporació Parc Taulí, Sabadell, Spain
6 Occupational Health Research Unit, Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
7 Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
8 Institut Municipal d’Investigació Mèdica, Barcelona, Spain
9 Hospital General de Elche, Elche, Spain
10 Unidad de Investigación, Hospital Universitaro de Canarias, La Laguna, Spain
11 Department of Health, Sabadell, Spain
12 Department of Pathology, Hospital del Mar, Barcelona, Spain
13 Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
Correspondence to:
Claudine M Samanic, National Cancer Institute, 6120 Executive Boulevard, Room 8003, Rockville, MD 20852, USA; samanicc{at}mail.nih.gov
Accepted 5 October 2007
 | ABSTRACT |
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 TOP ABSTRACT METHODSRESULTSDISCUSSIONACKNOWLEDGMENTSREFERENCES |
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Methods: 1219 patients with transitional cell carcinoma of the urinary bladder and 1271 controls selected from 18 hospitals in Spain between June 1998 and September 2000 provided detailed information on life-time occupational history, smoking habits, medical history, and other factors. We used unconditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) for each occupation and industry, adjusting for age, hospital region, smoking duration, and employment in a high-risk occupation for bladder cancer.
Results: Statistically significant increased risks were observed among men employed as machine operators in the printing industry (OR 5.4; 95% CI 1.6 to 17.7), among men employed in the transportation equipment industry (OR 1.6; 95% CI 1.1 to 2.6) and among those who had worked for 
10 years in the electrical/gas/sanitary services (OR 3.9; 95% CI 1.5 to 10.4) and in hotels and other lodgings (OR 3.1; 95% CI 1.3 to 7.3). Men who worked as miscellaneous mechanics and repairers (OR 2.0; 95% CI 1.1 to 3.6) and as supervisors in production occupations (OR 2.1; 95% CI 1.2 to 3.6) also had excess risks for bladder cancer. Male farmers and those who worked in crop and livestock production had decreased risks for bladder cancer. We found no significant associations between occupation or industry and bladder cancer risk among women.
Conclusions: We did not observe excess bladder cancer risk for many of the occupations identified as being a priori at high risk. Examination of more detailed job exposure information should help clarify these associations.
A few occupational bladder carcinogens have been identified to date, namely aromatic amines such as β-naphthylamine and benzidine,3 5 while there is weaker evidence for polycyclic aromatic hydrocarbons4 6 7 and diesel engine exhaust.8–10 Other occupational exposures considered by IARC to be associated with bladder cancer include 4-aminobiphenyl, tetrachloroethylene and benzo-a-pyrene.5 It is unclear whether occupations and industries identified in the past can still be linked with excess risks for bladder cancer. Using data from a hospital-based case–control study of bladder cancer in Spain, we examined the relationships between occupation, industry and bladder cancer risk.
| METHODS |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONACKNOWLEDGMENTSREFERENCES |
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We identified 1462 cases and interviewed 1219 (84%) of them (1067 men, 152 women). For each bladder cancer case, one control was selected. Controls were individually matched to cases by age (within 5 years) at diagnosis/interview, gender, race/ethnicity and hospital. Controls were selected from patients admitted to the same hospital around the same time as the cases for diseases/conditions unrelated to the exposures under study (36% hernias, 12% other abdominal surgery, 12% hydrocele, 23% fractures, 6% other orthopaedics, 4% circulatory diseases, 1% ophthalmological diseases, 2% dermatological diseases and 4% other diagnosis). We identified 1465 eligible controls and interviewed 1271 (88%) of them (1105 men, 166 women).
Since there were only six non-white participants, these subjects were excluded; our analyses therefore are based exclusively on white subjects. In addition, we excluded 16 non-urothelial cell carcinoma cases, 20 participants who provided unsatisfactory information on occupation, 56 participants with missing values for smoking duration, and two participants who did not report an employment history. A total of 1159 cases (1013 male, 146 female) and 1231 controls (1066 male, 165 female) were retained in the analysis, including 34 females cases and 43 female controls who indicated they worked as housewives.
All participants were interviewed in the hospital using a computer-assisted personal interview (CAPI). Prior to the interview, written informed consent to participate in the study was obtained from each subject. The questionnaire was designed to elicit detailed information on occupational and residential histories, smoking habits, dietary factors, medical conditions, family history of cancer, and history of medication use. For each job held for at least 6 months or longer, we obtained information on the name of the workplace, job title at the workplace, beginning and ending year of the job, industry name, production type, main activities or duties, chemicals and materials used, number of months worked per year, and number of days per week and number of hours worked per day.
Occupations and industries were coded using the 1977 Standard Occupational Classification (SOC)13 and the 1972 Standard Industrial Classification (SIC) schemes.14 Based on a review of the literature, an occupational physician (AT) assigned one or more SIC/SOC codes to each occupation. Due to the relatively small numbers of jobs for many codes, occupations and industries were often grouped in terms of potential for similar exposures by an experienced industrial hygienist (MD).
We used unconditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) for each occupation and industry, for men and women separately. We examined bladder cancer risk for every four-digit SIC and SOC code. For each occupation and industry, those never employed in the occupation or industry being evaluated comprised the referent group. We also examined risk by duration of employment (>0 to <10 years, 10 years). We used 10 years as the cut-off point for duration because of the small numbers of subjects for most jobs. ORs were adjusted for age at diagnosis/interview, hospital region and smoking duration. ORs were also adjusted for employment in high-risk occupations, which included a priori high-risk jobs identified in the literature, and jobs within our study that were either statistically significantly associated with bladder cancer or had an OR of 1.5 or higher.
Tests for trend were computed using the Wald statistic, entering the median value for each level of the categorical variable for exposure among control subjects. In the tables, we present results for all the SIC and SOC groups examined, for which there were at least 10 exposed subjects (cases and controls). Since we collapsed many SIC/SOC codes into broader groupings due to small numbers, we did not order results in the tables according to the actual SIC/SOC codes. Instead, we present ORs and 95% CIs for industries and occupations in descending order of magnitude. In addition, we were unable to adequately examine duration of employment by industry and occupation among women due to small numbers.
| RESULTS |
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Industry and occupation
To better understand the associations we observed between certain industries/occupations and bladder cancer, we next examined risk for occupation within industry, and risk for industries within occupation, for which there were at least 10 exposed subjects (table 4). Within the printing and publishing industries, printing machine operators and tenders experienced excess risk for bladder cancer (OR 5.3; 95% CI 1.6 to 17.7). None of jobs within the other industry groups presented in table 4 had significantly elevated risk. Jobs which seem to contribute to the elevated risk observed for these industry groups include the following: mechanics and repairers in transportation equipment industries; electricians within electrical, gas or sanitary service industries; and managers in hotels and other lodgings. We were unable to clearly distinguish which type of job, if any, contributed most to the reduced risk observed for the agricultural production industry. However, farm managers seemed to have the lowest risk.
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| DISCUSSION |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONACKNOWLEDGMENTSREFERENCES |
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10 years) work in the electrical, gas or sanitary industries, and in cleaning/building and electrical repair occupations. Our findings suggested an excess risk for men who worked as electrical repairers, and suggested an elevated risk for women who worked as administrators or were engaged in farm work. Men who worked in agriculture, however, seemed to have a lower risk for bladder cancer, as did long-term kitchen workers. Bladder cancer has been associated with employment as a printer, and in the printing industry, in previous studies.8 15–22 In a case–control study conducted in Spain, which included Barcelona, Gonzalez and colleagues20 reported an association between bladder cancer and occupations with probable exposure to printing inks (OR 2.1; 95% CI 1.0 to 4.3). We also observed a significant trend of increasing risk with duration of employment for male production supervisors, with the highest point estimate for those in the textile industry. Exposures occurring in the textile industry have been identified as one of the main occupational risk factors for bladder cancer in Spain, probably because of exposure to dyes derived from aromatic amines, a known class of bladder carcinogens.20 23 In the study by Gonzalez et al,20 male supervisors in the textile industry had a non-significant, two-fold excess risk for bladder cancer (RR 2.5; 95% CI 0.9 to 6.4).
In our study, within the transportation equipment industry, bladder cancer was non-significantly elevated for mechanics and repairers, and for miscellaneous mechanics and repairers as an occupational group. Increased risk of bladder cancer has been reported for these occupations, especially automobile mechanics, in previous studies.1 24–28 Mechanics may be exposed to mists from oils or solvents, and solvent additives such as polycyclic aromatic hydrocarbons, formaldehyde, N-phenyl-2-naphthylamine, and exposure to diesel exhaust may also play a role.1 7 29 It is unclear which exposures may have contributed to the excess risk we observed for men who worked as miscellaneous mechanics and repairers, since most jobs in this occupational group could not be classified with respect to industry. In addition, we could not determine which occupation may have contributed most to the risk observed for working 10 years or longer in the electrical/gas/sanitary service industries. Although we did observe a marginally significant increased risk among men who had worked for 10 years as electrical repairers, the overall trend in risk was inconsistent.
Despite the elevated risk for men who worked in the transportation equipment industry, we did not observe excess risk for bladder cancer among truck drivers in our study, a group which has previously been found to be at increased risk for bladder cancer.8 10 18 20 However, we do not believe that we were able to fully examine risk among truck drivers due to errors with the translation of job titles into Spanish during our interview, as tractor-trailer and other heavy trucks were not clearly distinguished from delivery and other light trucks. In addition, we did not observe a strong association between bladder cancer risk and sales occupations, a relationship which has been reported in previous studies.2 30
In our study, men who had worked 10 years in hotels or other lodgings had an increased risk for bladder cancer. Within this industry, those who worked as managers seemed to have the highest risk, although this risk was not statistically significant. Gonzalez et al20 reported a significant, two-fold excess risk for managers in Spain, which could not be fully explained by smoking or other occupational exposures. Findings from a case–control study of occupational bladder cancer in British Columbia31 also suggest an excess risk for occupations related to management and administration, and for hotel clerks and work in hotels and motels. The pattern of risk we observed for work as a painter, paperhanger or plasterer is unclear, although painting has been associated with bladder cancer in previous studies.32
Our finding of a reduced risk for bladder cancer among male farmers, and those who worked in agricultural industries, has been shown in previous studies.31 33 34 It has long been thought that lower overall cancer rates, including bladder cancer, among farmers is due to lower smoking prevalence, healthy diet and more physically active lifestyles.35 Since all of our risk estimates were adjusted for cigarette smoking, this cannot fully explain the significantly reduced risks we observed for bladder cancer among agricultural workers and farmers.
The specific occupations contributing to occupational bladder cancer in our study include work in the printing, textile, transportation, and hotel/lodging industries, and for most occupational groups, bladder cancer risks were more pronounced among men who had worked 10 years. Our findings are similar to those from a pooled study of occupation and bladder cancer in western Europe, in that we did not observe excess bladder cancer risk for many of the occupations identified as being a priori at high risk (eg, textile workers, rubber workers, leather workers and aluminium workers).8 Kogevinas et al8 suggest that this is due to improved working conditions in western Europe over the past few decades and prevention of exposure to occupational carcinogens. Changes in worker exposures and the development of new chemicals highlight the need to identify risks which may have diminished over time, such as risk among rubber and leather workers, and to identify new high-risk occupations which may emerge, such as truck driving.1
Our null findings for many of these a priori high-risk jobs may also be due to the fact that our analyses by occupation and industry codes lack a true exposure orientation. Although the case–control study design provides an efficient means of testing hypotheses about a broad range of exposures in the workplace and the general environment, the occupational data collected in interviews are usually limited to responses to general questions asked of all study subjects.36 To overcome this limitation, we incorporated 63 job- and industry-specific questionnaire modules into the CAPI interview, in order to target jobs with specific exposures that may be related to bladder cancer risk. We first collected the full work histories, and then the CAPI system triggered job modules based on the keywords screened in the fields of job titles, activities, products and services provided, and materials and tools used. These job modules contained additional questions about specific exposures of interest for each job or industry. This procedure should improve disease risk estimates over those derived from more traditional approaches to exposure assessment, and has been described previously in detail.37
The potential differences between risk estimates based on traditional occupation and industry coding and risk estimates derived from job-specific exposure information are exemplified by our findings for bladder cancer risk and work in the textile industry. As noted previously, exposures related to work in the textile industry have historically been considered some of the main occupational risk factors for bladder cancer in Spain.23 In the present study, we did not find excess bladder cancer risks associated with work in the textile industry for either men (OR 1.1; 95% CI 0.7 to 1.9) or women (OR 1.2; 95% CI 0.4 to 4.4). Using more detailed exposure information collected through the textile exposure module incorporated into our CAPI interview, Serra et al38 identified excess bladder cancer risks for loom weavers (OR 1.8; 95% CI 0.8 to 3.8), those working in winding, warping and sizing (OR 4.1; 95% CI 1.6 to 10.7), those exposed to synthetic fibres (OR 1.9; 95% CI 1.0 to 3.6) and those exposed to cotton materials (OR 1.5; 95% CI 0.9 to 2.4). These risks increased with employment duration, tended to be higher in women, and were similar after restricting the analysis to participants who never smoked.
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Policy implication Changes in workplace exposures over time indicate the need to periodically evaluate a priori high-risk occupations and identify potentially new high-risk occupations and exposures.
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Examination of the more detailed exposure information reported by participants who worked in the textile industry helped to elucidate more specific associations than we observed with occupation and industry based solely on job title. Although we evaluated a large number of occupational groups and industries in our analysis, and some of the observed associations maybe due to chance, our results should direct future exposure-specific analyses. The series of detailed examinations of occupational exposures and bladder cancer incidence in this study should help clarify the associations with occupational groups, for both the positive and null associations we observed. Although analysis of occupational groups can identify general patterns and trends in risk, more specific knowledge of carcinogenic exposures within occupations and industries can clarify these risks and therefore identify protective changes that may be applied within specific occupational settings.
| ACKNOWLEDGMENTS |
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TOPABSTRACTMETHODSRESULTSDISCUSSIONACKNOWLEDGMENTSREFERENCES |
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| FOOTNOTES |
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Competing interests: None declared.
Participating study centres in Spain: Institut Municipal d’Investigació Mèdica, Universitat Pompeu Fabra, Barcelona – Coordinating Centre (M Kogevinas, N Malats, FX Real, M Sala, G Castaño, M Torè, D Puente, C Villanueva, C Murta, J Fortuny, E López, S Hernández, R Jaramillo, P Fernandez); Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona (J Lloreta, S Serrano, L Ferrer, A Gelabert, J Carles, O Bielsa, K Villadiego); Hospital Germans Tries i Pujol, Badalona, Barcelona (L Cecchini, JM Saladié, L Ibarz); Hospital de Sant Boi, Sant Boi, Barcelona (M Céspedes); Centre Hospitalari Parc Taulí, Sabadell, Barcelona (C Serra, D García, J Pujadas, R Hernando, A Cabezuelo, C Abad, A Prera, J Prat); Centre Hospitalari i Cardiològic, Manresa, Barcelona (M Domènech, J Badal, J Malet); Hospital Universitario, La Laguna, Tenerife (R García-Closas, J Rodríguez de Vera, AI Martín); Hospital La Candelaria, Santa Cruz, Tenerife (J Taño, F Cáceres); Hospital General Universitario de Elche, Universidad Miguel Hernández, Elche, Alicante (A Carrato, F García-López, M Ull, A Teruel, E Andrada, A Bustos, A Castillejo, JL Soto); Universidad de Oviedo, Oviedo, Asturias (A Tardón); Hospital San Agustín, Avilés, Asturias (JL Guate, JM Lanzas, J Velasco); Hospital Central Covadonga, Oviedo, Asturias (JM Fernández, JJ Rodríguez, A Herrero); Hospital Central General, Oviedo, Asturias (R Abascal, C Manzano, T Miralles); Hospital de Cabueñes, Gijón, Asturias (M Rivas, M Arguelles); Hospital de Jove, Gijón, Asturias (M Díaz, J Sánchez, O González); Hospital de Cruz Roja, Gijón, Asturias (A Mateos, V Frade); Hospital Alvarez-Buylla, Mieres, Asturias (P Muntañola, C Pravia); Hospital Jarrio, Coaña, Asturias (AM Huescar, F Huergo); Hospital Carmen y Severo Ochoa, Cangas, Asturias (J Mosquera).
Published Online First 28 November 2007
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