Original quantitative research – Prostate cancer risk by occupation in the Occupational Disease Surveillance System (ODSS) in Ontario, Canada

Jeavana Sritharan, PhDAuthor reference 1; Jill S. MacLeod, MPHAuthor reference 1; Christopher B. McLeod, PhDAuthor reference 3,Author reference 4; Alice Peter, MScAuthor reference 5; Paul A. Demers, PhDAuthor reference 1,Author reference 2


This article has been peer reviewed.

Author references:

Author reference 1

Occupational Cancer Research Centre, Cancer Care Ontario, Toronto, Ontario, Canada

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Author reference 2

Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada

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Author reference 3

School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada

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Author reference 4

Institute for Work & Health, Toronto, Ontario, Canada

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Author reference 5

Population Health and Prevention, Cancer Care Ontario, Toronto, Ontario, Canada

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Paul A. Demers, Occupational Cancer Research Centre, Cancer Care Ontario, 525 University Avenue, 3rd Floor, Toronto, ON  M5G 2L3; Tel: 416-217-1274; Email: paul.demers@cancercare.on.ca


Introduction: Previous Canadian epidemiologic studies have identified associations between occupations and prostate cancer risk, though evidence is limited. However, there are no well-established preventable risk factors for prostate cancer, which warrants the need for further investigation into occupational factors to strengthen existing evidence. This study uses occupation and prostate cancer information from a large surveillance cohort in Ontario that linked workers’ compensation claim data to administrative health databases.

Methods: Occupations were examined using the Occupational Disease Surveillance System (ODSS). ODSS included 1 231 177 male workers for the 1983 to 2015 period, whose records were linked to the Ontario Cancer Registry (OCR) in order to identify and follow up on prostate cancer diagnoses. Cox proportional hazard models were used to calculate age-adjusted hazard ratios and 95% CI to estimate the risk of prostate cancer by occupation group.

Results: A total of 34 997 prostate cancer cases were diagnosed among workers in ODSS. Overall, elevated prostate cancer risk was observed for men employed in management/administration (HR 2.17, 95% CI = 1.98–2.38), teaching (HR 1.99, 95% CI = 1.79–2.21), transportation (HR 1.20, 95% CI = 1.16–1.24), construction (HR 1.09, 95% CI = 1.06–1.12), firefighting (HR 1.62, 95% CI = 1.47–1.78), and police work (HR 1.20, 95% CI = 1.10–1.32). Inconsistent findings were observed for clerical and farming occupations.

Conclusion: Associations observed in white collar, construction, transportation, and protective services occupations were consistent with previous Canadian studies. Findings emphasize the need to assess job-specific exposures, sedentary behaviour, psychological stress, and shift work. Understanding specific occupational risk factors can lead to better understanding of prostate cancer etiology and improve prevention strategies.

Keywords: occupation, prostate cancer, surveillance, Ontario, cohort, compensation claims


  • This is the first large occupational surveillance study in Ontario that links workers’ compensation claims to administrative health data.
  • We found increased risks of prostate cancer in white collar, transportation, construction, and protective services workers and mixed findings in clerical and farming workers.
  • Findings are consistent with recent published Canadian studies on occupation and prostate cancer.
  • Future studies need to address job-specific exposures and examine other factors of shift work, stress, sedentary behaviour, and screening patterns.


In Canada, prostate cancer is the most commonly diagnosed cancer among men.Footnote 1,Footnote 2 Aside from the few established non-modifiable risk factors of age, family history of prostate cancer, and ethnicity, there are no well-established modifiable risk factors for prostate cancer.Footnote 1,Footnote 2 Prostate cancer risk increases with age, especially after the age of 50 years.Footnote 1 African American men are known to have the highest rates of prostate cancer and are more likely to be diagnosed at advanced stages of prostate cancer than other men.Footnote 3,Footnote 4 Men with a family history of prostate cancer are also at an increased risk, and are more likely to seek out prostate cancer screening.Footnote 5There is also growing evidence that men who are obese or overweight have an increased risk of prostate cancer and this may be related to dietary factors and physical inactivity.Footnote 6 There is also some evidence that consumption of processed or red meat may lead to an increased risk of prostate cancer.Footnote 7 Prostate-specific antigen (PSA) screening behaviours among men may also contribute to differences observed in prostate cancer risk.Footnote 8,Footnote 9,Footnote 10As there continues to be limited understanding on modifiable risk factors for prostate cancer, there is a need to investigate other factors, like occupation. 

Work-related risk factors for prostate cancer have been increasingly suggested as recent Canadian studies have shown consistent associations between employment in broad occupational groups and prostate cancer risk. Associations have been observed for management and administration, farming, construction, transportation, and protective services occupations.Footnote 5,Footnote 11,Footnote 12,Footnote 13,Footnote 14 It has been hypothesized that prostate cancer risk in these occupations is linked to factors such as sedentary behaviour, stress, shift work, whole body vibrations, and chemical exposures (ex. pesticides and diesel exhaust).Footnote 15,Footnote 16,Footnote 17,Footnote 18,Footnote 19,Footnote 20,Footnote 21 The International Agency for Research on Cancer (IARC) has reported that there is some limited evidence for associations between prostate cancer risk and rubber production industries, cadmium and arsenic metals, malathion, and x and gamma radiation exposures.Footnote 22

Prostate cancer is expected to remain the most common cancer in Canadian men in the coming decades.Footnote 2 As working adult men spend a substantial part of their lives at work, occupational risk factors may be important determinants of prostate cancer risk. Improved occupational prostate cancer surveillance is crucial to identifying and reducing work-related risks for prostate cancer. The Occupational Disease Surveillance System (ODSS) was developed as the first surveillance system of its kind in Ontario to link worker compensation claims to administrative health databases to identify and monitor trends in work-related disease.Footnote 23,Footnote 24 The ODSS linkage was developed for surveillance of multiple occupational diseases, including prostate cancer. Unlike previous population-level studies, ODSS narrows the focus to a large cohort of Ontario’s working population.

The purpose of this study was to identify associations between occupation and prostate cancer in Ontario using ODSS. This study aims to determine whether previous findings from epidemiologic population studies in Canada are also observed in this study and to explore new associations.


ODSS was created through the linkage of multiple administrative health databases in Ontario. The system can be used to detect risk of disease, including cancers, among Ontario workers, which provides valuable information on work-related diseases.

Specifically, a cohort of Ontario workers was derived from Workplace Safety and Insurance Board (WSIB) accepted lost-time compensation claims data. The WSIB provides mandatory coverage to 70–76% of workers and provides workers’ compensation to those with accepted occupational-related injury/illness claims.Footnote 25 The remaining workers who are not covered by WSIB are self-employed individuals not opting for coverage, financial and entertainment workers, and other groups.Footnote 25 WSIB records from 1983 to 2014 were eligible for linkage, and these records contained information specific to the claim (date of injury, occupation/industry at time of claim, nature of injury) and personal information (worker name, sex, date of birth, and death date (if applicable)). Occupation associated with the claim was coded by the WSIB according to the Canadian Classification Dictionary of Occupations (CCDO 1971).

WSIB records (n = 2 253 734 unique workers) were linked, through a series of deterministic and probabilistic linkages, to the Ontario Health Insurance Plan’s (OHIP) Registered Persons Database (RPDB) (1990–2015) (n = 16 162 277), which contains information on sex, residence, birthdate, death date or emigration (if applicable), and health insurance number (HIN).Footnote 23,Footnote 24 Records were excluded if they were missing sex or date of birth, were under the age of 15 years, had an invalid claim date, or were missing valid occupation or industry codes, resulting in a total of 2 190 246 unique workers in the cohort.Footnote 23,Footnote 24 Workers were then deterministically linked to the Ontario Cancer Registry (OCR) using HINs where available (n = 1 796 731), but also probabilistically linked where no HIN was available, by use of name, sex, birthdate, and death date (n = 393 515).Footnote 24 The OCR provides information on Ontario incident cancer cases (1964–2016) collected from hospital records, pathology reports, cancer center records, and death certificates. As a result, 214 821 unique workers were linked to cancer diagnoses in the OCR.Footnote 23,Footnote 24 Follow-up time commenced from the date of the first claim and for this analysis, ODSS cohort members were followed up in the OCR for diagnosis of prostate cancer (International Statistical Classification of Diseases and Related Health Problems, 10th revision, C61). Workers with a prostate cancer diagnosis in the OCR that preceded entry into the ODSS cohort were excluded to establish a prostate cancer free cohort. Workers were followed from cohort entry until prostate cancer diagnosis, emigration from Ontario, death, or the end of the study period (December 31, 2016).Footnote 23,Footnote 24 A full description of the linkage methods can be found elsewhere.Footnote 24

Cox proportional hazard models were used to calculate age-adjusted hazard ratios and 95% confidence intervals (CI) to estimate the risk of prostate cancer for each occupation. Workers with more than one claim record could appear in multiple occupation groups. For each analysis, the occupation group of interest was compared to all other workers in the cohort. Previously, different reference groups were considered (e.g., white-collar jobs) and analyses were restricted to specific age groups with increased prostate cancer development (> 50 years), however no significant changes were observed in the results (results not shown). The occupation groups (CCDO 1971) are presented at division (2-digit), major (3-digit), and minor (4-digit) levels. We conducted the analyses using statistical package SAS version 9.4 (SAS institute Inc., Cary, NC, USA).

In this analysis, occupation groups were examined based on a priori or suspected groups of interest stemming from the IARC evaluation and previous Canadian studies. These groups include agriculture and farming, management/administrative and related, transportation, construction, and protective services.Footnote 5,Footnote 11,Footnote 12,Footnote 13,Footnote 14 Since ODSS is a newly established system, testing its ability to detect consistent risks among the a priori or suspected groups supports its use as a reliable and valid surveillance system.

This study was approved by the University of Toronto Health Sciences Research Ethics Board (protocol reference #27513).


The ODSS cohort consisted of 1 231 177 male workers with a mean age at cohort entry of 37.4 years. During the cohort time period, 70% had only one accepted time-loss claim. Prostate cancer was the most commonly diagnosed cancer in the ODSS cohort, with a total of 34 997 incident prostate cancer cases identified, as shown in Table 1. The average follow-up time for occupation by division, major, or minor levels was 261 person-months.

Table 1. ODSS cohort distribution by birth year
Year of birth Males in the cohort Prostate cancer cases
n (%) n (%)
< 1920 2357  (0.2) 328  (1.0)
1920–1929 40 973 (3.3) 5387 (15.4)
1930–1939 98 766 (8.0) 11 067 (31.6)
1940–1949 171 826 (14.0) 11 208 (32.0)
1950–1959 287 897 (23.4) 5883 (16.8)
1960–1969 345 476 (28.0) 1099 (3.1)
1970–1979 182 909 (14.9) 24 (0.1)
1980–1989 87 545 (7.1)
≥ 1990 13 428 (1.1) 
Total 1 231 177 (100) 34 997 (100)
Abbreviation: ODSS, Occupational Disease Surveillance System.
Note: — indicate counts < 5.

Table 2 presents the number of prostate cancer cases and risk estimates by occupation division. A priori and suspected occupation groups that showed elevated risks in the ODSS include management/administrative, teaching, construction trades, and transportation equipment operating. Decreased risks were observed among two suspected at-risk a priori groups, namely, agriculture and forestry/logging. Other associations were observed for natural sciences and engineering, medicine and health, service, mining and quarrying, processing, machining, product fabricating/assembling/repair, material handling, and other crafts/equipment operating occupation groups.

Table 2. Risk of prostate cancer by occupation division group in ODSS
Occupation division (CCDO code) Cases Total workers HRFootnote a (95% CI)
Managerial, administrative and related (11)Footnote b 464 14 228 2.17 (1.98–2.38)Footnote c
Natural sciences, engineering and mathematics (21) 538 20 814 1.30 (1.20–1.42)Footnote c
Social sciences and related fields (23) 128 6 834 1.10 (0.92–1.31)
Teaching and related (27)Footnote b 353 10 018 1.99 (1.79–2.21)Footnote c
Medicine and health (31) 362 17 068 1.14 (1.03–1.27)Footnote c
Artistic, literary, recreational and related (33) 156 8 400 1.11 (0.95–1.30)
Clerical and related (41)Footnote b 2133 96 316 1.00 (0.96–1.04)
Sales (51) 1163 71 727 0.88 (0.83–0.94)
Service (61) 4221 187 123 1.07 (1.04–1.11)Footnote c
Farming, horticultural and animal husbandry (71)Footnote b 586 39 236 0.68 (0.63–0.74)Footnote d
Fishing, hunting, trapping and related (73) 8 518 0.66 (0.33–1.33)
Forestry and logging(75)Footnote b 183 10 109 0.67 (0.58–0.77)Footnote d
Mining and quarrying including oil and gas field (77) 422 12 870 1.31 (1.19–1.44)Footnote c
Processing – metal/clay, glass, stone/chemicals (81) 1403 62 878 0.93 (0.88–0.98)Footnote d
Processing – food/wood/pulp/textile (82) 1372 67 325 0.87 (0.82–0.91)Footnote d
Machining and related (83) 4428 168 127 1.07 (1.04–1.11)Footnote c
Product fabricating, assembling and repairing (85) 7156 261 187 1.12 (1.09–1.14)Footnote c
Construction trades (87)Footnote b 5284 211 378 1.09 (1.06–1.12)Footnote c
Transport equipment operating (91)Footnote b 3998 153 882 1.20 (1.16–1.24)Footnote c
Materials handling and related (93) 2392 121 957 0.80 (0.76–0.83)Footnote d
Other crafts and equipment operating (95) 619 21 541 1.15 (1.06–1.24)Footnote c
Occupations not elsewhere classified (99) 3554 174 651 0.85 (0.82–0.88)Footnote d

Abbreviations: CCDO, Canadian Classification Dictionary of Occupations; HR, hazard ratio; ODSS, Occupational Disease Surveillance System.

Table 2 Footnote a

Adjusted for age and calendar year.

Table 2 Return to footnote a referrer

Table 2 Footnote b

A priori groups.

Table 2 Return to footnote b referrer

Table 2 Footnote c

Statistically significant increased risk.

Table 2 Return to footnote c referrer

Table 2 Footnote d

Statistically significant decreased risk.

Table 2 Return to footnote d referrer

Table 3 reports the number of prostate cancer cases and risk estimates for major occupation groups (3-digit CCDO code) and some minor occupation groups (4-digit CCDO code) with a priori or suspected associations. Complete minor group-level results are presented in a supplementary Table (S1) available upon request from the authors.

Table 3. Risk of prostate cancer for selected a priori major occupation groups in ODSS
Occupation (CCDO code) Cases Total workers HRFootnote a (95% CI)
Management & Administrative 
Officials and Administrators Unique to Government (111) 115 2 835 1.97 (1.64–2.37)Footnote b
Other Managers and Administrators (113) 240 7 150 2.43 (2.14–2.76)Footnote b
Occupation Related to Management and Administration (117) 116 4 422 1.96 (1.63–2.35)Footnote b
University Teaching and Related (271) 24 438 3.71 (2.48–5.53)Footnote b
Elementary and Secondary School Teaching and Related (273) 282 8 225 1.94 (1.72–2.18)Footnote b
Other Teaching and Related (279) 57 1 519 2.01 (1.55–2.60)Footnote b
Bookkeeping Account Recording and Related (413) 79 4 479 1.04 (0.84–1.30)
Office Machine and Electronic Data Processing Operators (414) 23 983 0.96 (0.64–1.44)
Material Recording Scheduling and Distributing (415) 1204 58 607 0.87 (0.82–0.92)Footnote c
Reception Information Mail and Message Distribution (417) 160 8 238 1.30 (1.11–1.52)Footnote b
Other Clerical and Related (419) 181 8 931 1.21 (1.05–1.40)Footnote b
Natural Resources
Farmers and Farm Management (711/713) 112 3 528 1.72 (1.43–2.07)Footnote b
Farm, Nursery, and Related Workers (718/719) 468 34 920 0.61 (0.56–0.67)Footnote c
Other Farming Horticulture and Animal Husbandry (718) 37 1 834 0.75 (0.55–1.04)
Fishing Trapping and Related (731) 8 518 0.66 (0.33–1.33)
Forestry and Logging (751) 183 10 109 0.67 (0.58–0.77)Footnote c
Mining and Quarrying, Drilling and Blasting (7711)  135 3 473 1.28 (1.08–1.52)Footnote b
Other Mining and Quarrying Including Oil and Gas (7710) 326 10 365 1.36 (1.22–1.52)Footnote b
Construction & Trades
Mineral Ore Treating (811) 40 948 1.38 (1.01–1.89)Footnote b
Metal Processing and Related (813) 681 26 178 1.09 (1.10–1.18)Footnote b
Clay, Glass, Stone Processing Forming and Related (815) 214 9 007 0.82 (0.71–0.94)Footnote c
Chemicals, Petroleum, Rubber, Plastic, and Related Processing (816) 493 28 227 0.79 (0.73–0.87)Footnote c
Food and Beverage and Related Processing (821) 962 45 030 0.89 (0.83–0.95)Footnote c
Wood Processing Occupations Except Paper Pulp (823) 106 5 923 0.70 (0.58–0.84)Footnote c
Pulp and Papermaking and Related (825) 145 4 879 1.12 (0.95–1.32)
Textile Processing (826) 99 5 362 0.74 (0.60–0.90)Footnote c
Other Processing (829) 74 7 141 0.83 (0.66–1.04)
Metal Machining (831) 1201 39 210 1.30 (1.22–1.37)Footnote b
Metal Shaping and Forming, Except Machining (833) 2990 118 192 1.04 (1.00–1.08)
Wood Machining (835) 135 7 550 0.81 (0.68–0.96)Footnote c
Clay, Glass, and Stone and Related Materials Machining (837) 372 12 678 1.06 (0.96–1.18)
Fabricating and Assembling Other Metal Products (851) 2036 67 413 1.17 (1.12–1.23)Footnote b
Fabricating Assembling, Installing, Repairing - Electrical/Electronic (853)  628 25 862 1.17 (1.08–1.27)Footnote b
Fabricating Assembling and Repairing - Wood (854) 391 21 627 0.68 (0.61–0.75)Footnote c
Fabricating Assembling and Repairing - Textile/Fur/Leather (855) 231 8 686 0.90 (0.79–1.02)
Fabricating Assembling and Repairing - Rubber/Plastic (857) 225 11 006 0.65 (0.57–0.75)Footnote c
Mechanics and Repairers Except Electrical (858) 3382 110 106 1.30 (1.26–1.35)Footnote b
Other Product Fabricating Assembling and Repairing (859) 732 34 982 1.05 (0.98–1.13)
Excavating Grading Paving and Related (871) 600 17 912 1.51 (1.39–1.64)Footnote b
Electrical Power Lighting/Wire Communications Equipment (873) 1035 34 606 1.28 (1.21–1.36)Footnote b
Other Construction Trades (878) 3735 162 367 1.00 (0.97–1.03)
Air Transport Operating (911) 120 7 397 0.93 (0.78–1.11)
Railway Transport Operating (913) 159 3 825 1.85 (1.58–2.16)Footnote b
Water Transport Operating (915) 61 2 550 1.12 (0.87–1.44)
Motor Transport Operating (917) 548 20 733 1.45 (1.10–1.19)Footnote b
Other Transport and Related Equipment Operating (919) 275 12 166 2.16 (1.92–2.43)Footnote b
Stationary Engine and Utilities Equipment Operating and Related (953)  270 7 165 1.59 (1.41–1.79)Footnote b
Protective Services
Fire-fighting (6111) 404 11 647 1.62 (1.47–1.78)Footnote b
Policemen and Detectives (6112) 501 19 448 1.20 (1.10–1.32)Footnote b
Guards and Watchmen (6115) 454 17 400 1.36 (1.24–1.49)Footnote b
Other Protective Services (6119) 15 617 1.01 (0.61–1.68)

Abbreviations: CCDO, Canadian Classification Dictionary of Occupations; HR, hazard ratio; ODSS, Occupational Disease Surveillance System.

Table 3 Footnote a

Adjusted for age and calendar year.

Table 3 Return to footnote a referrer

Table 3 Footnote b

Statistically significant increased risk.

Table 3 Return to footnote b referrer

Table 3 Footnote c

Statistically significant decreased risk.

Table 3 Return to footnote c referrer

Management and administration

Increased risks were observed across all major level management and administrative, teaching, and several non-managerial clerical occupation groups (Table 3). A more than 70% increased risk was observed for the major level teaching-related occupation, with the highest risk observed among university teachers at a minor level (S1).

Natural resources

An increased risk was observed in the overall major group of farmers and farm managers (Table 3), and at a minor level, this was specific to a small group of farmers (S1). However, a decreased risk was observed in the major group of farm, nursery, and related work (Table 3), and this was driven by farm workers (S1). Decreased risks in forestry and logging were primarily driven by workers employed in timber cutting and to a lesser degree, workers in laboring and elemental work (S1). Increased risks in mining and quarrying related occupations were observed across all minor level mining and quarrying occupations (S1).

Construction and trades

Increased risks were observed for metal related occupations such as metal processing, metal machining, metal shaping and forming, and fabricating and assembling other metal products; all groups which had large numbers of prostate cancer cases at a major level (Table 3). At a minor level, a number of these metal related occupations with many prostate cancer cases were also elevated: metal processing foremen, metal rolling, metal machining foremen, tool and die making, machinists, metal shaping and forming foreman, forging, boil-makers, and sheet metal workers (S1). An increased risk was also observed in the major group of mechanics and repairers which had one of the highest numbers of prostate cancer cases among the construction occupations (Table 3). Almost all minor groups under mechanics and repairers showed increased risks for prostate cancer, primarily driven by many prostate cancer cases in motor vehicle and industrial/farm/construction machinery occupations (S1). Several construction occupations at a major level were also observed as decreased risks: non-metal product processing, food and beverage processing, wood processing, textile processing, wood machining, and fabricating/assembling/repair of wood, rubber, and plastic (Table 3).


Multiple transportation occupations at a major level were observed to be associated to prostate cancer, with increased risks across railway transport operating, motor transport operating, other transport and related operating, and stationary engine and utilities operating (Table 3). For railway transport, all minor level groups demonstrated increased risks, however these groups had small numbers of prostate cancer cases. All minor level motor transport occupations also showed increased risks, primarily driven by many cases in truck and bus driving (S1).

Protective services

Increased risks of prostate cancer were observed across firefighters, policemen and detectives, and guards and watchmen (Table 3).

Other occupations

Table 4 presents risk estimates for other major occupation groups where excesses were observed at the division level (Table 2) and were not considered a priori or suspected groups of interest. Mainly, men employed in major occupational groups related to science/engineering/social sciences (life sciences, architecture and engineering) and health services (health diagnosing, nursing, other health occupations) were observed to have increased risks of prostate cancer (Table 4).

Table 4. Risk of prostate cancer for other major occupation groups in ODSS
Occupation (CCDO code) Cases Total workers HRFootnote a (95% CI)
Science, Engineering, and Social Sciences
Physical Sciences (211) 70 2491 1.13 (0.90–1.43)
Life Sciences (213) 49 1793 1.36 (1.02–1.79)Footnote b
Architects and Engineers (214) 128 3675 1.36 (1.02–1.79)Footnote b
Other Architecture and Engineering (216) 284 11 918 1.22 (1.09–1.38)Footnote b
Other Mathematics and Statistical Systems (218) 18 1361 1.03 (0.65–1.64)
Social Sciences (231) 46 1942 1.75 (1.31–2.34)Footnote b
Social Work and Related Fields (233) 88 5179 0.93 (0.75–1.14)
Health Services
Health Diagnosing and Treating (311)  12 255 2.33 (1.33–4.10)Footnote b
Nursing Therapy and Related Assisting (313) 303 14 789 1.09 (0.97–1.22)
Other Occupations in Medicine and Health (315) 58 2317 1.58 (1.22–2.04)Footnote b
Other Occupations
Fine and Commercial Art Photography (331) 38 1529 1.41 (1.03–1.94)Footnote b
Performing and Audiovisual Arts (333) 21 1628 0.93 (0.61–1.43)
Writing (335) 8 273 1.50 (0.75–3.00)
Sport and Recreation (337) 90 5009 1.05 (0.85–1.29)
Sales Commodities (513) 1029 66 747 0.86 (0.81–0.91)Footnote c
Food and Beverage Preparation and Related Services (612) 99 14 814 0.44 (0.36–0.53)Footnote c
Lodging and Other Accommodation (613) 61 2663 0.99 (0.77–1.27)
Printing and Related (951) 335 13 551 0.95 (0.85–1.05)

Abbreviations: CCDO, Canadian Classification Dictionary of Occupations; HR, hazard ratio; ODSS, Occupational Disease Surveillance System.

Table 4 Footnote a

Adjusted for age and calendar year.

Table 4 Return to footnote a referrer

Table 4 Footnote b

Statistically significant increased risk.

Table 4 Return to footnote b referrer

Table 4 Footnote c

Statistically significant decreased risk.

Table 4 Return to footnote c referrer


As in the general population, prostate cancer was the most common cancer diagnosed among men in the ODSS cohort. Consistent with a priori suspected associations and with recent published Canadian studies, this study observed an excess risk for prostate cancer among white collar, transportation, construction, and protective services occupations and for some clerical and farming occupations.Footnote 5,Footnote 11,Footnote 12,Footnote 13 Findings from this large study of more than 1.2 million male workers in Ontario strengthen previous findings. Occupational associations observed in this study may be driven by several work-related factors such as sedentary behaviour/low physical activity, psychological stress, shift-work, whole-body vibrations, and specific chemical exposures.

Previous studies have suggested that sedentary behaviour or low occupational physical activity may be linked to increased prostate cancer risk.Footnote 26 A meta-analysis that included 19 cohort studies and 24 case-control studies observed a 19% reduction in prostate cancer risk related to occupational physical activity.Footnote 27 Although the biological mechanism linking physical inactivity to prostate cancer is not clear, it is speculated that decreased physical activity may influence prostate cancer risk through changes in testosterone levels, immune function, and insulin-like growth factors.Footnote 27 Increased prostate cancer risks previously observed among white collar and administrative occupations have been commonly attributed to sedentary behavior, as there are few hazardous chemical exposures involved in these occupations.Footnote 5,Footnote 11,Footnote 12,Footnote 13 Our findings in managerial and administrative work may be explained by increased sedentary behaviour and low occupational physical activity. Men employed in managerial level positions are also likely to be older with higher education and experience, however we were able to adjust for age. Also, these workers tend to have a higher socioeconomic status (SES) when compared to blue collar workers, and a higher SES has been linked to increased use of health services and possible early diagnosis of prostate cancer (e.g., increased PSA screening), which may play a role in our findings.Footnote 5,Footnote 28 On the other hand, decreased risks identified in blue collar workers (e.g., farming, forestry and logging, and some construction trades) in our study may be linked to the increased occupational physical activity in these workers, compared to white collar workers. Transportation workers, specifically truck and bus drivers identified in our study, may also experience long periods of sitting or sedentary behaviour. Previous studies in Ontario saw no association with physical activity level in these workers.Footnote 11,Footnote 15 However, few studies in the literature have shown that increased occupational sedentary behaviour in transport drivers is also related to shift work, obesity, and low physical activity during non-work hours.Footnote 29,Footnote 30

Psychological stress has been found to have an important impact on health conditions, with increased risks for cardiovascular disease and mental illness, but there is growing interest for its role in cancer etiology.Footnote 31 Chronic stress may impact cancer development with activation of the sympathetic nervous system leading to downregulation of cellular immune response and promoting genomic instability. There is also some evidence that chronic stress can influence testosterone levels contributing to prostate cancer development.Footnote 31 The main source of stress in men is workplace stress, and few studies have been able to assess workplace stress and prostate cancer risk. Workplace stress is categorized by the balance of demand and control, with high stress environments involving high demand and low control.Footnote 31 This is important in occupations identified in our study, such as firefighting and police work, which are recognized as high risk professions where workers are required to respond to a range of emergencies in consistent high stress environments.Footnote 32 But there is also the perception of stress, if the worker perceives their job to be of high stress compared to other workers. Some studies have reported that higher stress levels were often reported among white-collar workers when compared to blue collar workers.Footnote 31,Footnote 33 Workplace stress may be a contributor to increased risks identified in white collar workers in our study. Workplace stress has also been associated to increased unhealthy lifestyle factors such as physical inactivity, obesity, increased alcohol use, and smoking.Footnote 7

Recent meta-analyses on shift work and prostate cancer suggest that night and rotating shift work is associated with prostate cancer risk.Footnote 19,Footnote 34,Footnote 35 Shift work can lead to the suppression of melatonin synthesis which leads to the disruption of the circadian rhythm.Footnote 35,Footnote 36,Footnote 37 Melatonin is recognized as an important contributor to preventing cancer development,Footnote 19 but with the suppression of melatonin through increased shift work, there may be an increase in testosterone levels leading to increased prostate cancer risk.Footnote 19 This is relevant across some occupations identified in this study that involve shift work, such as transportation, protective services, and health care occupations. Transportation drivers, specifically truck drivers identified in our study, may be likely to work night shifts or irregular hours.Footnote 29,Footnote 30 Shift work has also been shown among protective services occupations in firefighting and police work.Footnote 38,Footnote 39 Increased prostate cancer risks observed in health care occupations, specifically in nursing occupations, could be related to shift work as previous studies have established an association between nursing occupations, shift work, and breast cancer risk.Footnote 36,Footnote 37

Whole body vibration (WBV) is a common exposure in occupations involving repetitive vehicle or machine use, such as in transportation and construction jobs. Exposure to WBV occurs when mechanical energy from vibrating surfaces is passed to the body either in standing or sitting positions.Footnote 40 Although the role of WBV in prostate cancer etiology remains unclear, other prostate conditions like prostatitis and increasing testosterone levels have been linked to WBV exposure.Footnote 40 Transportation workers in railway transportation, truck driving, motor transport operating, equipment operating, and stationary engine equipment operating had excess risks in our study similar to previous studies, which all involve WBV exposure.Footnote 10,Footnote 15,Footnote 16,Footnote 17,Footnote 40,Footnote 41,Footnote 42 Construction workers involved in machinery related work requiring the use of hand tools may be exposed to whole body vibrations as well, however it is unclear which construction occupations involve WBV in our study.

Our study findings may also be related to specific chemical exposures. An increased risk in farmers and farm management may be linked to pesticide exposure, which has been consistently shown in the previous literature.Footnote 43,Footnote 44,Footnote 45 Also, some agriculture studies have shown associations in men with a family history of prostate cancer and exposure to specific pesticides.Footnote 46,Footnote 47 Farming workers may also be exposed to diesel exhaust, similar to workers in construction, transportation, mining, and protective services.Footnote 11,Footnote 12,Footnote 13,Footnote 43,Footnote 44,Footnote 45,Footnote 48 These workers may be exposed through the use of diesel emitting vehicles or by working near them for long periods of time.Footnote 43,Footnote 44,Footnote 45,Footnote 48 Diesel exhaust exposure is also common in forestry and logging occupations, however decreased risks were observed for these groups in our study. There is evidence that cadmium and arsenic metal compounds are linked to prostate cancer risk based on IARC evaluations.Footnote 25 However, in this study it was not possible to narrow down occupations by specific metal exposures, though we observed increased risks across different construction metal–related occupations. Increased risks were also observed among mechanics and repairmen, and these workers may be exposed to chemical agents such as solvents, iron and steel metals, and welding equipment.Footnote 49

Screening behaviours may also contribute to prostate cancer risk differences observed in occupation groups in our study. It is well known that the PSA test is the only available screening test for prostate cancer. However, it is non-specific and can lead to false-positives and additional unnecessary testing.Footnote 28,Footnote 50 Routine prostate cancer screening is not recommended in Canada,Footnote 50 but there are screening related factors that may influence screening behaviours in men. Previous evidence has shown that men of older age, with higher SES, family history of prostate cancer, and those who are married are more likely to get screened than other men.Footnote 14,Footnote 28,Footnote 44 Also, men employed in white collar jobs have been shown to have better awareness, accessibility, and flexibility to seek out prostate cancer screening which may explain some of the increased risks identified in these occupations.Footnote 10,Footnote 28 Decreased risks identified in blue collar jobs of construction, farming, forestry, and logging may be related to decreased prostate cancer screening, based on lower SES, less flexible working hours, and less awareness of screening resources.Footnote 10 Protective services workers, specifically firefighting, may have more frequent medical exams than other professions, given the nature of these occupations, resulting in increased screening behaviours.Footnote 51,Footnote 52 Excess risks observed in engineering and social sciences in our study have also been reported in the literature with the suggestion that these men are more likely to get screened for prostate cancer when compared to other men.Footnote 5,Footnote 10 Also, our findings in health care workers may indicate increased screening in these workers, as they are more likely to be informed on available medical tests.

There were limitations with this study. Although occupational information was collected at the time of claim, no lifetime work history was available. We also did not have the ability to examine occupation-related factors such as duration of employment. Only workers with a lost-time compensation claim were included in this cohort, which over represents workers in physically hazardous occupations compared to the broader workforce since most accepted claims are for workplace injuries. Although this cohort includes many Ontario workers, it may not represent all individuals in the identified occupations and this could lead to selection bias, if risk factors associated with prostate cancer are correlated with physical hazards. All analyses were conducted within the cohort, such that both the target group and reference are formerly injured workers, which may offset this bias. Workers in particularly high hazard occupations, may also have an increased risk of death, which could remove them from follow-up prior to the age when they are at high risk of prostate cancer. While adjusting for age may address this, its impact could only be fully assessed using a competing risk model.

Due to the nature of how the cohort is constructed, people in senior level positions may have a higher level of risk attributed to them because of exposure under prior work duties, such as a manager who was a former worker.  This may also occur simply because people had to be older in order to achieve that position, such as judges, and prostate cancer is a disease of old age.  All analyses were age adjusted, which should at least partially mitigate potential bias, but caution should be used in interpreting excess risks in these groups. Also, the administrative databases used in this study did not capture information on socioeconomic (e.g., income, education), lifestyle, or known prostate cancer risk factors, aside from age, which could act as potential confounders and could help to alleviate some of the selection bias. This study also uses multiple testing which can lead to chance findings, a common issue with occupational studies looking at multiple groups. However, our study results were quite similar to previous publications, providing confidence in our findings. A major strength of this study is that it uses a linkage-based approach with accurate and updated administrative health data. Another major strength is the use of compensation claims data which provided vital and accurate employment information. The linkage-based approach is efficient for identifying a large sample of prostate cancer cases with occupational information prior to diagnosis. Also, comparisons were restricted to a cohort of workers rather than the general population which reduces the potential impact of the healthy worker effect.


This study identified associations between occupation and prostate cancer risk similar to a priori or suspected associations recognized in previous Canadian studies. Findings included associations in management/administrative, construction, transportation, and protective services occupations and prostate cancer risk. There were also other associations that warrant further investigation. There is a continued need to examine potential job-specific exposures and other factors such as sedentary behaviour, stress, shift work, and screening patterns, among other non-occupational factors. Understanding specific work-related factors will help determine how the identified jobs are related to prostate cancer risk. This can lead to improved knowledge on prostate cancer risk factors and evidence-based prevention strategies.


This project was funded by the Ministry of Labour (No. 14-R-29) and the Public Health Agency of Canada (No. 1516-HQ-000066). The Occupational Cancer Research Centre is supported from core funding from Cancer Care Ontario, the Canadian Cancer Society and the Ontario Ministry of Labour.

Conflicts of interest

None to declare.

Authors’ contributions and statement

JS, the primary author, contributed to the design and conceptualization of the work, data analysis, interpretation of the data, drafting and revising of the paper. JSM contributed to the acquisition of the data, design and conceptualization of the work, data analysis, and revising of the paper. CBM and AP contributed to the interpretation of the data and revising of the paper. PAD contributed to the acquisition of the data, design and conceptualization of the work, interpretation of the data, and revising of the paper.

The content and views expressed in this article are those of the authors and do not necessarily reflect those of the Government of Canada.


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