Literature DB >> 31297276

Workplace Diesel Exhausts and Gasoline Exposure and Risk of Colorectal Cancer in Four Nordic Countries.

Madar Talibov1,2, Jorma Sormunen1,3, Elisabete Weiderpass4,5,6,7, Kristina Kjaerheim8, Jan-Ivar Martinsen8, Per Sparen6, Laufey Tryggvadottir9,10, Johnni Hansen11, Eero Pukkala1,12.   

Abstract

BACKGROUND: Evidence on associations between occupational diesel exhaust and gasoline exposure and colorectal cancer is limited. We aimed to assess the effect of workplace exposure to diesel exhaust and gasoline on the risk of colorectal cancer.
METHODS: This case-control study included 181,709 colon cancer and 109,227 rectal cancer cases diagnosed between 1961 and 2005 in Finland, Iceland, Norway, and Sweden. Cases and controls were identified from the Nordic Occupational Cancer Study cohort and matched for country, birth year, and sex. Diesel exhaust and gasoline exposure values were assigned by country-specific job-exposure matrices. Odds ratios and 95% confidence intervals were calculated by using conditional logistic regression models. The results were adjusted for physical strain at work and occupational exposure to benzene, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust.
RESULTS: Diesel exhaust exposure was associated with a small increase in the risk of rectal cancer (odds ratio = 1.05, 95% confidence interval 1.02-1.08). Gasoline exposure was not associated with colorectal cancer risk.
CONCLUSION: This study showed a small risk increase for rectal cancer after workplace diesel exhaust exposure. However, this finding could be due to chance, given the limitations of the study.

Entities:  

Keywords:  Case–control study; Colorectal cancer; Diesel exhaust; Gasoline; Workplace

Year:  2019        PMID: 31297276      PMCID: PMC6598825          DOI: 10.1016/j.shaw.2019.01.001

Source DB:  PubMed          Journal:  Saf Health Work        ISSN: 2093-7911


Introduction

Colorectal cancer is the third most common cancer in men and the second in women with about two-thirds of the cases occurring in countries with a high human development index [1]. The incidence rate of colorectal cancer varies widely for both sexes worldwide with the highest rates observed in Australia/New Zealand and the lowest in Western Africa [1]. The incidence rate of colorectal cancer has increased in the Nordic countries over the past decades [2]. Obesity, lack of physical activity, smoking, alcohol intake, and consumption of red and processed meat are among lifestyle factors that have been linked to an increased risk of colorectal cancers [3], [4], [5], [6], [7], [8]. Previous studies suggested associations also with occupational agents. For example, physically active work was associated with reduced risk of colorectal cancer, particularly with distal sites of the colon [9], [10]. Prolonged exposure to asbestos was linked to an elevated risk of cancer of the total colon, distal colon, and rectum in the Prospective Netherlands Study [11]. Increased risk of colorectal cancer was also linked to night shift work [12], benzene exposure [13], [14], and exposure to metalworking fluids [15], [16]. Evidence on associations between workplace diesel exhaust and gasoline exposure and colorectal cancer is scarce. Few studies observed modest association between workplace diesel exhaust exposure and risk of the colon and rectum [13], [17], [18], [19]. The aim of the present study was to assess associations between workplace diesel exhaust and gasoline exposures and colorectal cancer, including its subtypes.

Materials and methods

This case–control study was nested within the Nordic Occupational Cancer Study (NOCCA) cohort. The NOCCA cohort includes 15 million persons from Finland, Iceland, Norway, Sweden, and Denmark, who were aged from 30 to 64 years on January 1 of the year after the first available census where they participated [20]. They were followed up until the date of emigration, death, or 31 December of the following years: 2003 in Denmark and Norway, 2004 in Iceland, and 2005 in Finland and Sweden [20]. Information on dates of death and emigration was obtained from Central Population Registers of these countries. Data from various registries were linked by using unique personal identification numbers. This method ensured a complete ascertainment of relevant events for each person included in the cohort because the possibility of error in identifiers is extremely small [20]. Data from Denmark were not included in the present study because we did not have access to individual-level records from this country. All incident colorectal cancer cases diagnosed between 1961 and 2005 in Finland, Iceland, Norway, and Sweden, and reported to the national cancer registries, were included in this study. Categories of the ascending, transversal, and descending colon were used for specific analysis. The remaining sites (e.g. sigmoid colon, appendix, cecum, splenic and hepatic flexures) were combined into the category of “other colon”. Five controls for each case were randomly selected from the NOCCA cohort. Cases and controls could have a previous history of cancer other than colorectal cancer before the date of diagnosis of the case (“index date”). Cases and controls were matched by country, sex, and the year of birth, and the controls were living in the country on the index date. Study participants had to be 20 years or older on the index date and had to have at least one census record before that date. Job titles of study participants were available from computerized census records from 1960, 1970, 1980, and 1990 in Sweden; from 1960, 1970, and 1980 in Norway; and from 1970, 1980, and 1990 in Finland. In Iceland, the only computerized census record was available from 1981 census [20]. Diesel exhaust and gasoline exposure values were assigned by linking the NOCCA job-exposure matrix (NOCCA-JEM) to job titles of study participants. The NOCCA-JEM was developed by a Nordic expert panel including experts from each country, based on the template of the Finnish job-exposure matrix [21]. It assigns prevalence of exposure (P) and annual average level (L) of exposure among the exposed persons for 28 occupational agents in more than 300 specific occupational groups in four time periods: 1945–1959, 1960–1974, 1975–1984, and 1985–1994 [22]. We assigned a product of P and L of diesel exhaust and gasoline exposures to each year over the duration of the employment period of study participants. These values were then summed up to estimate cumulative exposures. Occupational groups exposed to diesel engine exhaust and gasoline are presented in Appendix A. The employment period of study participants was assumed to start at age 20 years (typical age at job start) and end either at age 65 years (typical retirement age) or on the index date, whichever occurred first. If a person had different occupations in different censuses, we assumed that he/she changed occupation midway of known census years. The same procedure was used to estimate cumulative exposures for other occupational agents. Selection of covariates for the main effect model was based on the “purposeful covariate selection” method [23]. Covariates with Wald test p-value less than 0.25 from univariate logistic regression models were selected as candidates for the multivariate model. In the next step, covariates were removed from the multivariate model if they were not significantly contributing to the model fit. This procedure suggested that benzene, formaldehyde, ionizing radiation, chromium, chlorinated hydrocarbons, wood dust, and perceived physical workload could be included into the final main effect model as covariates. Because none of these covariates were strongly correlated with diesel exhaust or gasoline, we included them in the same model. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated by using conditional logistic regression models. In multilevel exposure analysis, cumulative diesel exhaust and gasoline exposures were categorized by using 50th and 90th percentiles of exposure distribution among exposed controls as cut-points. Hence, the resulting exposure categories were the following: unexposed, < 50th percentile, 50th–90th, and > 90th percentile. Unexposed categories were used as a reference in all analyses. Ordinal levels of exposure categories were used as continuous to test for significance of dose–response relationship. In overall exposure analysis, unexposed category was defined as never exposed, and all other categories were combined into the ever-exposed category. Significance of interaction among diesel exhaust, gasoline, and sex were assessed by using analysis of variance. The lifestyle-related factors by occupation and gender were available from the Finnish job-exposure matrix [21]. These data were based on the Finnish Health Behaviour and Health Among the Finnish Population surveys conducted by the Finnish Institute for Health and Welfare since 1978. The purpose of these surveys was to collect information on the health of employment-aged persons to track trends and changes over time. The main topics included in the surveys were eating habits, tobacco use, physical activity, health conditions, and alcohol consumption [24]. We controlled for the following lifestyle factors in the sensitivity analysis including only the Finnish data: the proportion of daily smokers; proportion of men drinking at least eight and women drinking five portions of alcohol weekly; proportion of those who fulfill fewer than three of the four recommended dietary habits; proportion of those who have leisure time exercise less than twice a week; and proportion of those with a body mass index of 25 or higher [21]. Other sensitivity analyses included analyses with 10- and 20-year lag time and analysis with tertile categorization. The lag time analyses were performed under the assumption that recent exposures may not be related to cancer risk. In 10- and 20-year lag time analyses, we did not count exposures occurring 10 and 20 years before the index date, respectively. All analyses were conducted by using R statistical software, version 3.4.1 (R Core Team. 2017. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/).

Results

Table 1 shows numbers and proportions of cases for each cancer site by country, sex, and age at diagnosis. All proportions shown for cases in this table are the same also for controls because they were matched for these characteristics. The study included 181,709 colon cancer cases and 109,227 rectal cancer cases. There were more female than male colon cancer cases, whereas rectum cancer was more common in men than in women. Most of the cases were from Sweden, whereas only less than 1% were from Iceland. The median age at diagnosis was 71 years for colon cancer and 70 years for rectal cancer (Table 1).
Table 1

Selected demographic characteristics of incident colorectal cancer cases in the Nordic Occupational Cancer Study cohort during 1961-2005

CharacteristicsAscending (n = 63,867), n (%)Transversal (n = 26,681), n (%)Descending (n = 8,863), n (%)“Other colon”a (n = 82,298), n (%)All colon (n = 1,81709), n (%)Rectum (n = 1,09227), n (%)Colorectal (n = 2,90936), n (%)
Country
Finland11,003 (17.2)4,542 (17.0)1,452 (16.4)11,601 (14.1)28,598 (15.7)19,903 (18.2)48,501 (16.7)
Iceland185 (0.3)77 (0.3)94 (1.1)760 (0.9)1,116 (0.6)424 (0.4)1,540 (0.5)
Norway18,683 (29.3)8,493 (31.8)2,782 (31.4)20,633 (25.1)50,591 (27.8)28,123 (25.7)78,714 (27.1)
Sweden33,996 (53.2)13,569 (50.9)4,535 (51.2)49,304 (59.9)101,404 (55.8)60,777 (55.6)162,181 (55.7)
Sex
Men27,721 (43.4)12,556 (47.1)4,358 (49.2)40,402 (49.1)85,037 (46.8)60,019 (54.9)145,056 (49.9)
Women36,146 (56.6)14,125 (52.9)4,505 (50.8)41,896 (50.9)96,672 (53.2)49,208 (45.1)145,880 (50.1)
Age at diagnosis
≤ 40997 (1.6)381 (1.4)181 (2.0)1,198 (1.5)2,757 (1.5)984 (0.9)3,741 (1.3)
41–609,947 (15.6)5,044 (18.9)2,045 (23.1)16,342 (19.9)33,378 (18.4)21,713 (19.9)55,091 (18.9)
61–8039,254 (61.5)16,466 (61.7)5,413 (61.1)51,028 (62.0)112,161 (61.7)68,909 (63.1)181,070 (62.2)
≥ 8013,669 (21.4)4,790 (18.0)1,224 (13.8)13,730 (16.7)33,413 (18.4)17,621 (16.1)51,034 (17.5)
Mean, median71, 7370, 7168, 6969, 7170, 7169, 7070, 71

“Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures.

Selected demographic characteristics of incident colorectal cancer cases in the Nordic Occupational Cancer Study cohort during 1961-2005 “Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures. Statistically significantly increased risk of rectal cancer (OR = 1.05, 95% CI 1.02-1.08) and decreased risk of cancer of the descending colon (OR = 0.88, 95% CI 0.80-0.97) were observed for overall diesel exhaust exposure (Table 2). Increased risk with the borderline significance was observed for the transversal colon (OR = 1.05, 95% CI 1.00-1.11) and all colorectal (OR = 1.02, 95% CI 1.00-1.03). Overall gasoline exposure did not seem to be associated with colorectal cancer risk (Table 2).
Table 2

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for ever vs never occupational diesel and gasoline exposures and colorectal cancer

Exposure agent
Diesel
Gasoline
Cancer locationCase, nControl, nORa95% CICase, nControl, nORa95% CI
Ascending colon
Never57,809290,14661,973310,521
Ever6,05829,1891.000.97–1.041,8948,8141.060.95–1.18
Transversal colon
Never23,887120,18725,844129,391
Ever2,79413,2181.051.00–1.118374,0140.970.82–1.16
Descending colon
Never7,98139,6738,59342,927
Ever8824,6420.880.80–0.972701,3881.000.75–1.33
“Other colon” b
Never73,666369,035796,81398,692
Ever8,63242,4550.980.95–1.012,61712,7980.980.89–1.08
All colon
Never163,343819,041176,091881,531
Ever18,36689,5040.990.97–1.025,61827,0141.010.94–1.08
Rectum
Never96,574485,074105,546527,915
Ever12,65361,0611.051.02–1.083,68118,2200.930.86–1.02
All colorectal
Never2599171,304,115281,6371,409,446
Ever31,019150,5651.021.00–1.039,29945,2340.980.93–1.03

OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust.

“Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures.

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for ever vs never occupational diesel and gasoline exposures and colorectal cancer OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust. “Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures. Analysis with categorical exposures showed similar risk pattern as in overall analysis (Table 3). However, the only significantly increased risk for rectal cancer was observed for the medium diesel exhaust category (OR = 1.07, 95% CI 1.04-1.11), whereas for other exposure categories, risk estimates were not significant (Table 3).
Table 3

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for occupational diesel and gasoline exposures and colorectal cancer.

Exposure agent
Diesela
Gasolineb
Cancer locationCase, nControl, nORc95% CIp-trendORc95% CIORc95% CIp-trend
Ascending colon
Unexposed57,809290,1461.0061,973310,5211.00
Low3,03914,6001.020.97–1.069034,2781.070.95–1.21
Medium2,37711,6870.980.93–1.037793,6101.030.90–1.19
High6422,9021.040.94–1.150.922129261.060.88–1.270.50
Transversal colon
Unexposed23,887120,1871.0025,844129,3911.00
Low1,3906,6371.050.98–1.124142,0500.950.79–1.16
Medium1,1245,2321.070.99–1.153371,5830.990.80–1.22
High2801,3491.030.89–1.190.11863811.020.77–1.360.87
Descending colon
Unexposed7,98139,6731.008,59342,9271.00
Low4032,3660.800.71–0.911376641.180.86–1.62
Medium3881,8190.970.86–1.111115750.900.63–1.29
High914570.960.74–1.240.24221490.680.40–1.150.09
“Other colon”d
Unexposed73,666369,0351.0079,681398,6921.00
Low4,38521,2151.000.97–1.041,2696,4310.950.86–1.06
Medium3,36417,0250.950.91–0.991,0395,1020.960.85–1.08
High8834,2151.020.94–1.110.093091,2651.150.98–1.340.29
All colon
Unexposed163,343819,0411.00176,091881,5311.00
Low9,21744,8181.000.98–1.032,72313,4231.000.93–1.08
Medium7,25335,7630.980.95–1.012,26610,8700.980.91–1.07
High1,8968,9231.020.97–1.090.466292,7211.070.97–1.190.43
Rectum
Unexposed96,574485,0741.00105,546527,9151.00
Low6,19030,5531.030.99–1.061,8199,3370.930.85–1.02
Medium5,18724,4221.071.04–1.111,5127,1430.940.85–1.04
High1,2766,0861.050.98–1.13<0.013501,7400.920.80–1.060.18
All colorectal
Unexposed259,9171,304,1151.00281,6371,409,4461.00
Low15,41075,3821.020.99–1.044,53522,7320.970.92–1.03
Medium12,44160,1951.020.99–1.043,78418,0280.970.91–1.04
High3,16814,9881.040.99–1.090.059804,4741.020.94–1.110.94

Diesel and gasoline were categorized based on 50th and 90th percentile of cumulative exposure distribution among exposed colorectal cancer cases and controls.

The low diesel exposure category was defined as ≤0.8 milligram per cubic meter (mg/m3); medium category 0.8–2.3 mg/m3; and high category >2.3 mg/m3. The unexposed category was used as a reference.

The low gasoline exposure category was defined as ≤1.9 parts per million (ppm)-years; medium category 1.9–4.6 ppm-years; and high category >4.6 ppm-years. The unexposed category was used as a reference.

OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust.

“Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures.

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for occupational diesel and gasoline exposures and colorectal cancer. Diesel and gasoline were categorized based on 50th and 90th percentile of cumulative exposure distribution among exposed colorectal cancer cases and controls. The low diesel exposure category was defined as ≤0.8 milligram per cubic meter (mg/m3); medium category 0.8–2.3 mg/m3; and high category >2.3 mg/m3. The unexposed category was used as a reference. The low gasoline exposure category was defined as ≤1.9 parts per million (ppm)-years; medium category 1.9–4.6 ppm-years; and high category >4.6 ppm-years. The unexposed category was used as a reference. OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust. “Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures. Analysis with adjustment for lifestyle factors in the Finnish data showed associations of diesel exhaust exposure with rectal and all colorectal cancers with significant dose–response relationship (p < 0.01) (Table 4). Notably, most of the risk estimates observed in Table 3 slightly increased away from null after adjusting for lifestyle factors.
Table 4

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for occupational diesel and gasoline exposures and colorectal cancer in Finland.

Exposure agent
Diesela
Gasolineb
Cancer locationCase, nControl, nORc95% CIp-trendCase, nControl, nORc95% CIp-trend
Ascending colon
Unexposed10,19151,3321.0010,83354,2781.00
Low2931,3591.060.93–1.22783751.090.77–1.57
Medium4181,8941.050.93––1.19772881.100.69–1.75
High1014301.080.85–1.380.2315740.860.44–1.660.96
Transversal colon
Unexposed4,18221,0301.004,46922,3751.00
Low1156190.940.75–1.16341800.880.51–1.53
Medium1958281.140.95–1.38321270.940.47–1.89
High502331.040.73–1.460.377280.980.36–2.690.83
Descending colon
Unexposed1,3356,7271.001,4327,1501.00
Low372210.850.58–1.248520.910.32–2.62
Medium622641.090.78–1.5211430.550.15–2.02
High18481.790.97–3.320.221150.160.01–1.720.16
“Other colon”d
Unexposed10,67853,7831.0011,43957,1911.00
Low3201,4081.090.95–1.24723521.060.74–1.51
Medium4702,2121.010.90–1.14693710.850.54–1.32
High1336021.060.86–1.310.5221910.990.55–1.810.81
All colon
Unexposed26,386132,8721.0028,173140,9941.00
Low7653,6071.040.95–1.131929591.030.83–1.30
Medium11455,1981.050.97–1.131898290.940.71–1.24
High3021,3131.090.95–1.260.07442080.870.58–1.290.57
Rectum
Unexposed18,18091,6901.0019,60697,9851.00
Low5742,6361.101.01–1.221457310.930.71–1.22
Medium9184,1551.111.02–1.211286380.830.60–1.15
High2311,0341.140.97–1.34< 0.01241610.650.38–1.100.10
All colorectal
Unexposed44,566224,5621.0047,779238,9791.00
Low1,3396,2431.061.00–1.143371,6900.990.84–1.18
Medium2,0639,3531.081.02–1.143171,4670.910.74–1.13
High5332,3471.111.00–1.23< 0.01683690.770.56–1.060.17

Diesel and gasoline were categorized based on 50th and 90th percentile of cumulative exposure distribution among exposed colorectal cancer cases and controls.

The low diesel exposure category was defined as ≤0.8 milligram per cubic meter (mg/m3); medium category 0.8–2.3 mg/m3; and high category >2.3 mg/m3. The unexposed category was used as a reference.

The low gasoline exposure category was defined as ≤1.9 parts per million (ppm)-years; medium category 1.9–4.6 ppm-years; and high category >4.6 ppm-years. The unexposed category was used as a reference.

OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, wood dust, smoking, alcohol, BMI, diet, and physical activity.

“Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures.

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for occupational diesel and gasoline exposures and colorectal cancer in Finland. Diesel and gasoline were categorized based on 50th and 90th percentile of cumulative exposure distribution among exposed colorectal cancer cases and controls. The low diesel exposure category was defined as ≤0.8 milligram per cubic meter (mg/m3); medium category 0.8–2.3 mg/m3; and high category >2.3 mg/m3. The unexposed category was used as a reference. The low gasoline exposure category was defined as ≤1.9 parts per million (ppm)-years; medium category 1.9–4.6 ppm-years; and high category >4.6 ppm-years. The unexposed category was used as a reference. OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, wood dust, smoking, alcohol, BMI, diet, and physical activity. “Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures. Risk of rectal cancer for categorical diesel exhaust exposure remained increased also in analyses with 10- and 20-year lag time (Appendices B, C). When diesel exhaust exposure was categorized using tertile cut-off points, medium and high diesel exhaust exposure levels were significantly associated with an increased rectal cancer risk with dose–response relationship (OR = 1.08, 95% CI 1.04-1.12 and OR = 1.07, 95% CI 1.02-1.11 respectively) (Appendix D).

Discussion

The present study showed small positive association between workplace diesel exhaust exposure and rectal cancer. This association remained increased also when adjusted for lifestyle factors, when diesel exhaust exposure was categorized using tertile cut-off points, and in analysis with 10- and 20-year lag time. Observed statistically significantly decreased overall risk of descending colon cancer is likely to be a chance finding due to multiple testing as it was not confirmed in other analyses. We did not observe association between occupational gasoline exposure and colorectal cancer. Diesel and gasoline are most widely used fuel types in combustion engines, and their emissions consist of many carcinogens, including polycyclic aromatic hydrocarbons, nitroarenes, carbon monoxide, and 3-nitrobenzathrone among others [25], [26]. Although similar particles are emitted from both gasoline- and diesel-powered engines, the distribution and surface properties of the particles are different, suggesting potential differences in health effects associated with these exposures [27]. The main route of diesel exhaust and gasoline exposure was inhalation of polluted ambient air. Some of inhaled particles accumulated in the respiratory tract could be translocated to gastrointestinal tract as a result of mucociliar clearance [28]. Previous animal studies showed that diesel exhaust particles administered via the gastrointestinal route can induce DNA adducts and oxidative stress resulting in DNA strand breaks in gastrointestinal epithelial cells [29], [30]. Accuracy and completeness of cancer incidence data is one of the strengths of the present study. Validation studies showed high degree of completeness, comparability, accuracy, and timeliness of cancer registration in the Nordic countries [31]. Reliable occupational data from census records are another advantage of the study. Previous studies demonstrated high accuracy of occupational classifications based on census records in the Nordic countries [32], [33]. Finally, by linking job histories to NOCCA-JEM, we were able to control for the effect of many concomitant agents that can be present among diesel exhaust and gasoline-exposed workers. Potential exposure misclassification is the main limitation of the study. First, the NOCCA-JEM cannot account for exposure heterogeneity within the occupation because it assigns average exposure to all members of the occupational group. Second, the NOCCA-JEM does not separate occupations by industry. Exposure intensity and prevalence may vary by industries included into the same occupation. Third, we did not have complete job histories of study participants and therefore imputed them from available computerized census records by assuming that a person changed occupation midway between consecutive censuses. Job histories were imputed from four census records in Sweden and from three census records in Finland and Norway. In Iceland, the only available computerized census record was 1981 census. However, this is unlikely to strongly bias the main results because Icelandic population constituted only less than 1% of the overall study population (Table 1). In addition, previous studies demonstrated low occupational mobility in the Nordic countries [20], [32]. We could not control for leisure time physical activity, diet, smoking, alcohol intake, and body mass index in the main analyses. These factors have been linked to colorectal cancer risk in previous studies [3], [4], [6], [7], [8]. However, we were able to assess on the aggregate level the effect of lifestyle factors on associations between diesel exhaust, gasoline, and colorectal cancer in the Finnish part of the data. Adjustment for lifestyle factors slightly increased risk estimates away from the null. Therefore, if data on lifestyle factors were available, most of the associations observed in the main analysis would likely to be stronger. Associations observed in this study are consistent but weaker than the results from studies conducted in Canada [13], [18], [19], which observed increased risk of rectal cancer. A recent Australian case–control study [34] reported nonsignificantly increased risk of all colorectal cancer for exposure to diesel and gasoline exhaust emissions (OR = 1.14, 95% CI 0.89-1.46 for diesel and OR = 1.07, 95% CI 0.84-1.36 for gasoline). The difference in results between our study and Canadian and Australian studies could in part be explained by the difference in the prevalence of diesel exhaust exposure. For example, any exposure to diesel exhaust was only 11% in our study population compared with 19% in an Australian study [34] and 18% and 36% in Canadian studies [18], [19]. In conclusion, the present study showed a small risk increase of rectal cancer among workers occupationally exposed to diesel exhaust. However, we cannot exclude the possibility of this weak to modest association to be due to chance, given the limitations of the present study. Workplace gasoline exposure was not linked to colorectal cancer risk.

Ethical approval

As this study was register-based, neither ethical committee review nor informed consent from the study participants was required.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of interest

Authors declare no conflict of interest.
Appendix A

Occupational groups exposed to diesel engine exhaust and gasoline.

Occupationa1945–1959
1960–1974
1975–1984
1985–94
(P x L)b(P x L)b(P x L)b(P x L)b
Diesel engine exhaustc
Miners and quarrymen0.030.080.330.28
Asphalt workers0.100.140.130.10
Construction machinery operators0.070.130.120.09
Railway engine drivers, steam engine firemen0.020.100.090.05
Engine room crew0.100.070.070.07
Road transport supervisors0.070.090.080.07
Harbor masters0.060.080.070.06
Road and tram service personnel0.050.080.070.06
Machine and engine mechanics0.050.070.070.06
Stevedores0.020.070.060.04
Maintenance crews and supervisors0.020.060.050.04
Assisting construction workers0.040.060.040.02
Messengers and delivery boys0.020.050.050.04
Forklift operators0.010.050.040.03
Service station attendants0.030.030.050.00
Motor vehicle and tram drivers0.020.030.030.03
Mechanical engineers0.010.010.010.02
Policemen0.010.010.010.01
Stationary engine and machinery operators0.000.000.010.01
Gasolineb
Service station attendants0.800.800.060.00
Printers0.300.000.000.00
Occupation in graphics0.200.000.000.00
Machine and engine mechanics0.100.100.020.01

Estimates were retrieved from the Nordic Occupational Cancer Study job-exposure matrix.

Occupations were listed from the largest to the smallest P × L value.

P was proportion, and L was annual average exposure in the occupational group.

The unit of diesel engine exposure was mg/m3, and the unit of gasoline exposure was parts per million (ppm).

Appendix B

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for occupational diesel and gasoline exposures and colorectal cancer from 10-year lag time analysis.

Exposure agent
Diesela
Gasolineb
Cancer locationCase, nControl, nORc95% CIp-trendCase, nControl, nORc95% CIp-trend
Ascending colon
Unexposed58,161291,9621.0062,123311,1911.00
Low3,52416,7681.020.98–1.077833,7511.040.92–1.18
Medium1,9619,5350.970.91–1.038433,8471.040.91–1.19
High2211,0701.010.87–1.170.951185460.930.74–1.170.91
Transversal colon
Unexposed24,027120,9861.0025,892129,6671.00
Low1,6617,6181.081.02–1.153801,8311.020.84–1.24
Medium8884,2681.030.94–1.133631,6961.020.83–1.25
High1055331.000.81–1.240.13462110.980.68–1.420.83
Descending colon
Unexposed8,04240,0121.008,61143,0431.00
Low4982,7040.850.76–0.951215671.290.94–1.78
Medium28114510.870.74–1.031196180.970.69–1.36
High421481.300.91–1.860.1612870.580.29–1.150.24
“Other colon”d
Unexposed74,161371,6401.0079,871399,6211.00
Low5,03924,2781.000.97–1.041,1145,6920.950.85–1.06
Medium2,74814,0390.930.88–0.981,1285,3851.020.91–1.15
High3501,5331.110.99–1.250.221857921.110.92–1.350.54
All colon
Unexposed164,391824,6001.00176,497883,5221.00
Low10,72251,3681.010.99–1.042,39811,8411.010.93–1.08
Medium5,87829,2930.960.92–0.992,45311,5461.030.95–1.11
High7183,2841.070.98–1.160.613611,6361.000.88–1.140.76
Rectum
Unexposed97,221488,8471.00105,785529,2411.00
Low7,37635,0831.071.04–1.101,6318,2580.960.88–1.05
Medium4,14019,9341.051.00–1.101,6047,5300.970.88–1.06
High4902,2711.090.99–1.21< 0.012071,1060.840.71–0.990.13
All colorectal
Unexposed261,6121,313,4471.00282,2821,412,7631.00
Low18,09886,4511.041.02–1.054,02920,0990.990.93–1.05
Medium10,01849,2270.990.97–1.024,05719,0761.010.95–1.07
High1,2085,5551.081.01–1.150.025682,7420.940.84–1.040.55

Diesel and gasoline were categorized based on 50th and 90th percentile of cumulative exposure distribution among exposed colorectal cancer cases and controls.

The low diesel exposure category was defined as ≤0.8 milligram per cubic meters (mg/m3); medium category 0.8–2.3 mg/m3; and high category >2.3 mg/m3. The unexposed category was used as a reference.

The low gasoline exposure category was defined as ≤1.9 parts per million (ppm)-years; medium category 1.9–4.6 ppm-years; and high category >4.6 ppm-years. The unexposed category was used as a reference.

OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust.

“Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures.

Appendix C

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for occupational diesel and gasoline exposures and colorectal cancer from 20-year lag time analysis.

Exposure agent
Diesela
Gasolineb
Cancer locationCase, nControl, nORc95% CIp-trendCase, nControl, nORc95% CIp-trend
Ascending colon
Unexposed59,019296,0531.0062,428312,6191.00
Low3,53516,9691.010.96–1.055662,7311.020.90–1.16
Medium1,2696,0770.980.90–1.077763,5341.030.90–1.17
High442360.910.66–1.260.92974510.890.69–1.150.90
Transversal colon
Unexposed24,394122,8591.0026,021130,3261.00
Low1,6937,7011.081.02–1.152961,3951.040.86–1.25
Medium5732,7081.080.95–1.223281,5161.010.83–1.23
High211370.780.49–1.230.04361680.950.63–1.430.91
Descending colon
Unexposed8,15540,6611.008,66143,2741.00
Low5112,7320.860.77–0.96894051.130.82–1.55
Medium1868891.040.83–1.291025600.800.57–1.12
High11331.570.78–3.160.3711760.600.29–1.210.09
“Other colon”d
Unexposed75,296377,3831.0080,297401,6631.00
Low5,12724,7940.990.96–1.038204,3140.920.82–1.02
Medium1,8048,9800.980.91–1.0510234,8461.000.90–1.12
High713331.030.79–1.330.351586671.110.91–1.370.68
All colon
Unexposed166,864836,9561.00177,407887,8821.00
Low10,86652,1961.000.98–1.0317718,8450.980.91–1.05
Medium3,83218,6541.000.95–1.052,22910,4561.000.93–1.08
High1477390.970.81–1.160.923021,3620.980.85–1.140.91
Rectum
Unexposed98,864496,8831.00106,372532,1351.00
Low7,60235,9821.071.04–1.101,2536,2780.940.86–1.02
Medium2,63912,7381.040.98–1.111,4216,7860.930.85–1.03
High1225321.170.96–1.42<0.011819360.840.70–1.010.03
All colorectal
Unexposed265,7281,333,8391.00283,7791,420,0171.00
Low18,46888,1781.031.01–1.053,02415,1230.960.91–1.02
Medium6,47131,3921.020.98–1.053,65017,2420.980.92–1.04
High2691,2711.050.92–1.200.014832,2980.930.83–1.040.16

Diesel and gasoline were categorized based on 50th and 90th percentile of cumulative exposure distribution among exposed colorectal cancer cases and controls.

The low diesel exposure category was defined as ≤0.8 milligram per cubic meter (mg/m3); medium category 0.8–2.3 mg/m3; and high category >2.3 mg/m3. The unexposed category was used as a reference.

The low gasoline exposure category was defined as ≤1.9 parts per million (ppm)-years; medium category 1.9–4.6 ppm-years; and high category >4.6 ppm-years. The unexposed category was used as a reference.

OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust.

“Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures.

Appendix D

Odds ratios (ORs) and 95% confidence intervals (95% CIs) for occupational diesel and gasoline exposures and colorectal cancer.

Exposure agent
Diesela
Gasolineb
Cancer locationCase, nControl, nORc95% CIp-trendCase, nControl, nORc95% CIp-trend
Ascending colon
Unexposed57,809290,1461.0061,973310,5211.00
Low2,0899,7411.051.00–1.104222,0261.060.92–1.23
Medium1,9599,7010.980.92–1.037893,7281.090.96–1.24
High2,0109,7470.970.92–1.040.546833,0601.020.89–1.180.40
Transversal colon
Unexposed23,887120,1871.0025,844129,3911.00
Low9244,4391.030.95–1.111799870.840.67–1.05
Medium9484,3591.091.01–1.173561,7220.990.81–1.22
High9224,4201.040.95–1.140.133021,3051.090.88–1.350.32
Descending colon
Unexposed7,98139,6731.008,59342,9271.00
Low2741,5930.820.72–0.95583391.000.69–1.46
Medium2971,5400.890.78–1.021345421.280.92–1.78
High3111,5090.950.81–1.120.18785070.720.49–1.040.19
“Other colon”d
Unexposed73,666369,0351.0079,681398,6921.00
Low3,02414,2171.030.99–1.085943,0140.980.87–1.11
Medium2,74514,0910.940.90–0.981,1135,5050.990.89––1.11
High2,86314,1470.970.93–1.030.069104,2790.980.87–1.100.92
All colon
Unexposed163,343819,0411.00176,091881,5311.00
Low6,31129,9901.030.99–1.061,2536,3660.990.91–1.07
Medium5,94929,6910.970.94–1.002,39211,4971.040.96–1.12
High6,10629,8230.980.95–1.020.181,9739,1510.990.92–1.080.53
Rectum
Unexposed96,574485,0741.00105,546527,9151.00
Low4,12720,6111.010.97–1.058564,5790.880.79–0.99
Medium4,23819,9831.081.04–1.121,5677,7980.910.83–1.01
High4,28820,4671.071.02–1.11<0.011,2585,8430.980.89–1.090.58
All colorectal
Unexposed259,9171,304,1151.00281,6371,409,4461.00
Low10,40050,4561.020.99–1.042,96915,3380.940.88–1.00
Medium10,22849,8511.020.99–1.043,10014,9141.000.94–1.07
High10,39150,2581.010.99–1.040.143,23014,9821.000.94–1.070.63

Diesel and gasoline were categorized based on tertiles of cumulative exposure distribution among exposed colorectal cancer cases and controls.

The low diesel exposure category was defined as ≤0.5 milligram per cubic meter (mg/m3); medium category 0.5–1.1 mg/m3; and high category >1.1 mg/m3. The unexposed category was used as a reference.

The low gasoline exposure category was defined as ≤1 parts per million (ppm)-years; medium category 1–3.2 ppm-years; and high category >3.2 ppm-years. The unexposed category was used as a reference.

OR estimates were adjusted for benzene, perceived physical workload, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust.

“Other colon” included sigmoid colon, appendix, cecum, and splenic and hepatic flexures.

  25 in total

1.  Rectal cancer and exposure to metalworking fluids in the automobile manufacturing industry.

Authors:  Elizabeth J Malloy; Katie L Miller; Ellen A Eisen
Journal:  Occup Environ Med       Date:  2006-08-15       Impact factor: 4.402

2.  A case-control study of the relationship between the risk of colon cancer in men and exposures to occupational agents.

Authors:  M S Goldberg; M E Parent; J Siemiatycki; M Désy; L Nadon; L Richardson; R Lakhani; B Latreille; M F Valois
Journal:  Am J Ind Med       Date:  2001-06       Impact factor: 2.214

3.  Cancer incidence among Danish seafarers: a population based cohort study.

Authors:  L Kaerlev; J Hansen; H L Hansen; P S Nielsen
Journal:  Occup Environ Med       Date:  2005-11       Impact factor: 4.402

4.  DNA damage in rats after a single oral exposure to diesel exhaust particles.

Authors:  Pernille Høgh Danielsen; Lotte Risom; Håkan Wallin; Herman Autrup; Ulla Vogel; Steffen Loft; Peter Møller
Journal:  Mutat Res       Date:  2007-07-10       Impact factor: 2.433

Review 5.  Cigarette smoking and colorectal cancer incidence and mortality: systematic review and meta-analysis.

Authors:  Peter S Liang; Ting-Yi Chen; Edward Giovannucci
Journal:  Int J Cancer       Date:  2009-05-15       Impact factor: 7.396

6.  DNA adduct formation and oxidative stress in colon and liver of Big Blue rats after dietary exposure to diesel particles.

Authors:  Marianne Dybdahl; Lotte Risom; Peter Møller; Herman Autrup; Håkan Wallin; Ulla Vogel; Jette Bornholdt; Bahram Daneshvar; Lars Ove Dragsted; Allan Weimann; Henrik Enghusen Poulsen; Steffen Loft
Journal:  Carcinogenesis       Date:  2003-08-14       Impact factor: 4.944

7.  Occupation and cancer - follow-up of 15 million people in five Nordic countries.

Authors:  Eero Pukkala; Jan Ivar Martinsen; Elsebeth Lynge; Holmfridur Kolbrun Gunnarsdottir; Pär Sparén; Laufey Tryggvadottir; Elisabete Weiderpass; Kristina Kjaerheim
Journal:  Acta Oncol       Date:  2009       Impact factor: 4.089

Review 8.  U.S. EPA health assessment for diesel engine exhaust: a review.

Authors:  Charles Ris
Journal:  Inhal Toxicol       Date:  2007       Impact factor: 2.724

9.  Construction of job-exposure matrices for the Nordic Occupational Cancer Study (NOCCA).

Authors:  Timo Kauppinen; Pirjo Heikkilä; Nils Plato; Torill Woldbaek; Kaare Lenvik; Johnni Hansen; Vidir Kristjansson; Eero Pukkala
Journal:  Acta Oncol       Date:  2009       Impact factor: 4.089

10.  Recreational physical activity and cancer risk in subsites of the colon (the Nord-Trøndelag Health Study).

Authors:  Tom I L Nilsen; Pål R Romundstad; Hermod Petersen; David Gunnell; Lars J Vatten
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-01       Impact factor: 4.254

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