Abstract
Background:
Few epidemiological studies have explored the associations between occupational exposures and lung cancer in lifelong nonsmoking men.
Methods:
We obtained lifetime occupational history and other relevant information for 132 newly diagnosed lung cancer cases among nonsmoking Chinese men and 536 nonsmoking community referents. Unconditional multiple logistic regression analysis was performed to estimate the odds ratio (OR) of lung cancer for specific occupational exposures.
Results:
Significantly increased lung cancer risk was found for nonsmoking workers occupationally exposed to silica dust (OR=2.58, 95% confidence interval (CI): 1.11, 6.01), diesel exhaust (OR=3.47, 95% CI: 1.08, 11.14), spray painting (OR=2.81, 95% CI: 1.14, 6.93), and nonspray painting work (OR=2.36, 95% CI: 1.04, 5.37). Silica dust exposure was associated with a significantly increased risk of adenocarcinoma (OR=2.91, 95% CI: 1.10, 7.68). We observed a positive gradient of all lung cancers and of adenocarcinoma with duration of employment for workers exposed to silica dust and spray painting.
Conclusion:
This study found an increased risk of lung cancer among nonsmoking Chinese men occupationally exposed to silica dust, diesel exhaust, and painting work.
Keywords: lung carcinoma, nonsmokers, occupation, industry, carcinogen
Tobacco smoking is the most important risk factor for lung cancer (IARC, 2004), contributing around 80% of lung cancer cases of European men and 58% of Chinese men (Tse et al, 2009a). Other risk factors include occupational exposures to suspected carcinogens, environmental tobacco smoke (ETS), residential radon exposure, and genetic susceptibility (Alberg et al, 2005). Numerous studies have examined the associations between occupational exposures and lung cancer risk, but only a few have explored these in lifelong nonsmoking men (Pohlabeln et al, 2000; Zeka et al, 2006). Smoking is such a strong risk factor of lung cancer (IARC, 2004) that its presence makes it difficulty to examine the effects of occupational exposures with weak to moderate carcinogenicity. Moreover, cigarette smoking may modify the effects of occupational exposures on lung cancer risk (Liddell, 2001; Yu and Tse, 2006). As inadequate consideration of smoking can lead to inaccurate risk estimations, restriction of study subjects to lifelong nonsmokers offers the best way to examine the independent effects of occupational carcinogens. However, in most studies, lung cancers in lifelong nonsmokers are very few (<10%) to have high statistical power (Peto et al, 2000). We used a subgroup of lifelong nonsmokers from a large population-based case–referent study to examine the independent effects of occupational exposures on the risk of all lung cancers combined as well as the histological subtype of adenocarcinoma among Chinese nonsmoking men.
Materials and methods
The recruitment of cases and referents of this population-based study has been described elsewhere (Tse et al, 2009b). In brief, we recruited 1208 newly diagnosed and histologically confirmed primary lung cancer consecutively from the largest oncology centre in Hong Kong from 1 February 2004 to 30 September 2006, with a response rate of 96%. All the eligible cases were Chinese men aged 35–79 years. We recruited 1069 male community referents randomly selected from same districts of the cases, with a response rate of 48%, a response rate comparable with that of other similar studies. Each community referent from the original larger study was frequency matched in 5-year age groups to a lung cancer case, as the age distribution of the subgroup of lifelong nonsmoking cases may not be comparable with the nonsmoking referents. All community referents must have no history of physician-diagnosed cancer in any site. This study was approved by the ethics committees of both the Chinese University of Hong Kong and Queen Elizabeth Hospital.
Personal interviews with the cases and referents were carried out by trained interviewers using structured questionnaires immediately after informed consent was obtained. A lifestyle questionnaire obtained information on demographic data, sources of indoor air pollutants (i.e. exposure to residential radon and ETS, incense burning, use of mosquito coils, and years of cooking by frying), habits of tobacco smoking and alcohol drinking, dietary habits, past history of lung diseases, cancer history in first-degree relatives, and occupational exposures. Histological findings were retrieved from the hospital records. For this study, we selected the subgroup of never smokers defined by subjects who had never smoked as many as 20 packs of cigarettes or 12 oz (342 g) of tobacco in lifetime or one cigarette a day or one cigar a week for 1 year (Ferris, 1978).
A complete work history of jobs held at least 1 year was recorded for each case and referent. The work history included job title, job task description, and the beginning and end date of each job. Job titles and industries were coded according to the International Standard Classification of Occupations (ISCO) and International Standard Industrial Classification of All Economic Activities (ISIC), respectively, for international comparison (International Labour Office, 1968; United Nations Publications, 1971). The whole process of coding was performed blinded to the disease status of subjects.
Additional information on each worker’s regular exposure to specific individual or group of agents from each workplace was captured based on a list of confirmed or suspected human carcinogens, including asbestos, arsenic, nickel, chromium, tars, asphalts, silica, spray painting, nonspray painting, pesticides, diesel engine exhaust, cooking fumes, welding fumes, and man-made mineral fibres. Regular exposure referred to exposure at least once a week for at least 6 months. We introduced the study as a general ‘male health’ study to both cases and referents to minimise the potential recall bias.
We performed unconditional logistic regression models to estimate the odds ratio (OR) and the 95% confidence interval (CI) for lung cancer related to occupations, industries, and exposure to specific or group of agents. In building the model, we initially included various potential confounding factors into a ‘base’ model using a forward stepwise method; the variables that were statistically significant and finally retained in the ‘base’ model were age, place of birth, education level, residential radon exposure, past history of lung diseases, any cancer in first-degree relatives, and intake of meat. We then forced each occupational exposure (i.e. occupations, industries, and exposure to specific or group of agents) into the ‘base’ model to estimate the adjusted OR. Preliminary analyses were performed for major ISCO and ISIC groups; if elevated ORs (ever vs never exposed) were suggested, further analyses were conducted in the submajor groups. Two reference groups were applied to each comparison: (1) workers who had never worked in that occupation or industry or had never been exposed to that defined agent (or group of agents) and (2) workers who had never been exposed to any of the confirmed or suspected human carcinogens in the list. Analyses were carried out separately for adenocarcinoma – the most common histological type among nonsmokers (89 cases, 69.4% of all lung cancers).
Results
This study included 132 nonsmoking male cases and 536 nonsmoking male referents (Table 1). Cases were more likely to be alcohol drinkers, divorced, and exposed to ETS, but they were less educated and had lower family income; a statistical significance was only observed for family income. The mean age of cases was 2.2 years older than the referents (61.9 years) at the time of diagnosis. As described previously, we found that more cases were exposed to higher level of residential radon and had any cancer in first-degree relatives than the referents (Tse et al, 2009b).
Table 1. Selected characteristics of lung cancer cases and community referents in nonsmoking Chinese men during 2004–2006.
| Cases | Community referents | ||||
|---|---|---|---|---|---|
| Characteristics by category | No. | % | No. | % | P-valuea |
| Total no. | 132 | 536 | |||
| Age at interview (year) | 0.038 | ||||
| <50 | 22 | 16.7 | 63 | 11.8 | |
| 50–59 | 36 | 27.3 | 108 | 20.1 | |
| 60–69 | 40 | 30.3 | 166 | 31.0 | |
| ⩾70 | 34 | 25.8 | 199 | 37.1 | |
| Family monthly income (HK dollar) b | 0.001 | ||||
| <4000 | 55 | 41.7 | 202 | 37.7 | |
| ⩾4000 | 54 | 40.9 | 157 | 29.3 | |
| Not answered | 23 | 17.4 | 177 | 33.0 | |
| Marital status | 0.351 | ||||
| Single | 8 | 6.1 | 38 | 7.1 | |
| Married | 115 | 87.1 | 450 | 84.0 | |
| Widowed | 2 | 1.5 | 23 | 4.3 | |
| Divorced | 7 | 5.3 | 19 | 3.5 | |
| Education level | 0.681 | ||||
| Illiterate | 14 | 10.6 | 54 | 10.1 | |
| Primary | 47 | 35.6 | 163 | 30.4 | |
| High school | 46 | 34.8 | 201 | 37.5 | |
| College or above | 24 | 18.2 | 107 | 20.0 | |
| ETS in workplace or at home | 0.613 | ||||
| Never | 42 | 31.8 | 183 | 34.1 | |
| Ever | 90 | 68.2 | 353 | 65.9 | |
| Alcohol drinking c | 0.120 | ||||
| Never | 69 | 52.3 | 333 | 62.1 | |
| Occasional | 34 | 25.8 | 110 | 20.5 | |
| Frequent | 28 | 21.2 | 90 | 16.8 | |
Abbreviations: ETS=environmental tobacco smoke; HK=Hong Kong.
P-value from Person’s χ2 test.
1 US dollar=7.8 HK dollar.
Occasional drinkers referred to those who drank at most three times per week and frequent drinkers referred to those who drank four times or more per week.
The ORs of lung cancer for employment in major industries and occupations are presented in Table 2. After adjustment of residential radon exposure and other potential confounding factors, only workers ever employed as ‘bricklayers, carpenters and other construction workers (ISCO code: 9–5)’ showed a significantly increased OR of 2.25 (95% CI: 1.11, 4.54). Elevated ORs were also suggested for some other industries and occupations, but no statistical significance was observed.
Table 2. OR and 95% confidence intervals for lung cancer by major groups of industry and occupation in nonsmoking Chinese mena,b.
| Referents (n=536) |
All lung cancers (n=132)
|
Adenocarcinoma (n=89)
|
||||||
|---|---|---|---|---|---|---|---|---|
| ISIC/ISCO codes | Category | n (%) | n (%) | Crude OR | Adjusted ORc | n (%) | Crude OR | Adjusted ORc |
| ISIC | Major industrial division | |||||||
| 1 | Agriculture, hunting, forestry, and fishing | 1 (0.2) | 1 (0.8) | 4.08 (0.25, 65.72) | 7.36 (0.28, 190.77) | 1 (1.1) | 6.08 (0.38, 98.09) | 19.29 (0.72, 502.49) |
| 3 | Manufacturing | 98 (18.3) | 28 (21.2) | 1.20 (0.75, 1.93) | 1.00 (0.58, 1.70) | 18 (20.2) | 1.13 (0.65, 1.99) | 0.95 (0.51, 1.79) |
| 5 | Construction | 37 (6.9) | 15 (11.4) | 1.73 (0.92, 3.26) | 1.61 (0.79, 3.26) | 10 (11.2) | 1.71 (0.82, 3.57) | 1.68 (0.74, 3.84) |
| 6 | Wholesale and retail trade, and restaurants and hotels | 78 (14.6) | 18 (13.6) | 0.93 (0.53, 1.61) | 1.04 (0.55, 1.94) | 12 (13.5) | 0.92 (0.48, 1.76) | 1.00 (0.48, 2.10) |
| 7 | Transport, storage, and communication | 80 (14.9) | 16 (12.1) | 0.79 (0.44, 1.40) | 0.71 (0.37, 1.35) | 9 (10.1) | 0.64 (0.31, 1.33) | 0.60 (0.27, 1.33) |
| 8 | Financing, insurance, real estate, and business services | 34 (6.3) | 3 (2.3) | 0.34 (0.10, 1.14) | 0.43 (0.12, 1.55) | 2 (2.2) | 0.34 (0.08, 1.44) | 0.40 (0.09, 1.85) |
| 9 | Community, social, and personal services | 149 (27.8) | 35 (26.5) | 0.94 (0.61, 1.44) | 1.02 (0.62, 1.67) | 25 (28.1) | 1.02 (0.62, 1.67) | 0.97 (0.55, 1.69) |
| 10 | Activities not adequately defined | 34 (6.3) | 8 (6.1) | 0.95 (0.43, 2.11) | 1.02 (0.41, 2.53) | 6 (6.7) | 1.07 (0.44, 2.62) | 1.21 (0.45, 3.26) |
| ISCO | Major occupational group | |||||||
| 0/1 | Professional, technical, and related workers | 50 (9.3) | 14 (10.6) | 1.15 (0.62, 2.16) | 1.58 (0.76, 3.29) | 7 (7.9) | 0.83 (0.36, 1.89) | 0.90 (0.35, 2.29) |
| 2 | Administrative and managerial workers | 29 (5.4) | 7 (5.3) | 0.98 (0.42, 2.29) | 1.18 (0.47, 2.97) | 5 (5.6) | 1.04 (0.39, 2.76) | 1.19 (0.42, 3.36) |
| 3 | Clerical and related workers | 47 (8.8) | 16 (12.1) | 1.44 (0.79, 2.62) | 1.53 (0.76, 3.08) | 11 (12.4) | 1.47 (0.73, 2.95) | 1.48 (0.67, 3.29) |
| 4 | Sales workers | 77 (14.4) | 15 (11.4) | 0.76 (0.42, 1.38) | 0.79 (0.41, 1.54) | 10 (11.2) | 0.76 (0.37, 1.52) | 0.65 (0.29, 1.46) |
| 5 | Services | 111 (20.7) | 30 (22.7) | 1.13 (0.71, 1.78) | 0.90 (0.53, 1.53) | 23 (25.8) | 1.33 (0.79, 2.24) | 1.09 (0.60, 1.98) |
| 6 | Agricultural animal husbandry and forestry workers, fishermen, and hunters | 16 (3.0) | 3 (2.3) | 0.76 (0.22, 2.63) | 0.78 (0.20, 2.97) | 3 (3.4) | 1.13 (0.32, 3.97) | 1.21 (0.31, 4.68) |
| 7/8/9 | Production and related workers, transport equipment operators and labourers | 285 (53.2) | 87 (65.9) | 1.70 (1.14, 2.54) | 1.58 (0.99, 2.54) | 61 (68.5) | 1.92 (1.19, 3.10) | 1.72 (1.00, 2.98) |
| 7–0 | Production supervisors and general foremen | 74 (13.8) | 21 (15.9) | 1.18 (0.70, 2.00) | 0.88 (0.48, 1.62) | 12 (13.5) | 0.97 (0.51, 1.88) | 0.68 (0.32, 1.46) |
| 8–0 | Shoemaker and leather goods makers | 86 (16.0) | 27 (20.5) | 1.35 (0.83, 2.18) | 1.41 (0.82, 2.42) | 19 (21.3) | 1.42 (0.81, 2.48) | 1.57 (0.85, 2.90) |
| 9–5 | Bricklayers, carpenters, and other construction workers | 32 (6.0) | 16 (12.1) | 2.17 (1.15, 4.09) | 2.25 (1.11, 4.54) | 10 (11.2) | 1.99 (0.94, 4.22) | 2.11 (0.94, 4.75) |
Abbreviations: OR=odds ratio; ISIC=International Standard Industrial Classification of All Economic Activities; ISCO=International Standard Classification of Occupations.
aThe reference group consists of never employed in given industries or occupations.
bThere is no case in the category of ISIC 2 and 4.
Models were adjusted for age, place of birth, education level, residential radon exposure, past history of lung diseases, any cancer in first-degree relatives, and intake of meat. Bold values indicate P<0.05.
The ORs of lung cancer for occupational exposure to specific or group of agents are shown in Table 3. Significantly increased risk was associated with silica dust, painting, and diesel exhaust. Exposure to spray painting showed a 19% higher lung cancer risk than the nonspray painting work. An increased risk of lung cancer was associated with the increasing years of employment for workers exposed to silica dust and spray painting (Table 4).
Table 3. OR of lung cancer and 95% confidence intervals by occupational exposure to the individual specific or group of agentsa.
| Referents (n=536) |
Lung cancer cases (n=132)
|
Adenocarcinoma (n=89)
|
|||||
|---|---|---|---|---|---|---|---|
| Occupational exposures | n (%) | n (%) | Adjusted OR1b | Adjusted OR2c | n (%) | Adjusted OR1b | Adjusted OR2c |
| Asbestos dust | 23 (4.3) | 4 (3.0) | 0.77 (0.23, 2.55) | 0.99 (0.30, 3.32) | 3 (3.4) | 0.98 (0.27, 3.57) | 1.23 (0.33, 4.58) |
| Silica dust | 20 (3.7) | 10 (7.6) | 2.58 (1.11, 6.01) | 3.09 (1.30, 7.37) | 7 (7.9) | 2.91 (1.10, 7.68) | 3.41 (1.26, 9.25) |
| General painting work not involving spray | 25 (4.7) | 12 (9.1) | 2.36 (1.04, 5.37) | 2.79 (1.20, 6.48) | 7 (7.9) | 2.07 (0.79, 5.47) | 2.48 (0.92, 6.70) |
| Spray painting work | 20 (3.7) | 11 (8.3) | 2.81 (1.14, 6.93) | 3.29 (1.31, 8.23) | 7 (7.9) | 2.62 (0.91, 7.56) | 3.03 (1.03, 8.92) |
| Welding fume | 18 (3.4) | 9 (6.8) | 1.81 (0.73, 4.49) | 2.24 (0.88, 5.69) | 6 (6.7) | 1.72 (0.59, 5.00) | 2.11 (0.71, 6.29) |
| Emissions from plastic heating or melting | 3 (0.6) | 2 (1.5) | 3.47 (0.42, 28.85) | 4.49 (0.54, 37.69) | 1 (1.1) | 2.99 (0.22, 40.39) | 3.61 (0.27, 49.05) |
| Chromium | 5 (0.9) | 1 (0.8) | 1.38 (0.14, 13.83) | 1.72 (0.17, 17.38) | 1 (1.1) | 1.64 (0.15, 17.78) | 2.09 (0.19, 22.70) |
| Pesticide users | 8 (1.5) | 3 (2.3) | 1.07 (0.20, 5.73) | 1.32 (0.25, 7.13) | 3 (3.4) | 1.14 (0.21, 6.25) | 1.45 (0.26, 8.05) |
| Diesel exhaust | 13 (2.4) | 6 (4.5) | 3.47 (1.08, 11.14) | 4.17 (1.28, 13.53) | 3 (3.4) | 1.92 (0.44, 8.39) | 2.38 (0.54, 10.60) |
| Gasoline exhaust | 16 (3.0) | 7 (5.3) | 1.21 (0.42, 3.56) | 1.52 (0.51, 4.53) | 4 (4.5) | 1.05 (0.26, 4.20) | 1.29 (0.32, 5.27) |
| Cooking fume | 23 (4.3) | 6 (4.5) | 0.77 (0.27, 2.25) | 0.98 (0.33, 2.91) | 4 (4.5) | 0.95 (0.29, 3.10) | 1.18 (0.36, 3.94) |
| Rubber handling | 6 (1.1) | 2 (1.5) | 1.47 (0.27, 8.05) | 1.82 (0.33, 10.11) | 1 (1.1) | 0.76 (0.08, 7.19) | 0.99 (0.10, 9.49) |
| Organic solvent | 84 (15.7) | 22 (16.7) | 0.96 (0.54, 1.73) | 1.24 (0.67, 2.29) | 13 (14.6) | 0.85 (0.42, 1.73) | 1.10 (0.52, 2.30) |
| Wood dust | 7 (1.3) | 2 (1.5) | 1.41 (0.26, 7.59) | 1.79 (0.33, 9.75) | 2 (2.2) | 2.16 (0.39, 11.98) | 2.68 (0.48, 15.03) |
| Textile dust | 56 (10.4) | 12 (9.1) | 0.56 (0.26, 1.19) | 0.76 (0.34, 1.66) | 9 (10.1) | 0.56 (0.23, 1.35) | 0.75 (0.30, 1.87) |
| Man-made mineral fibre | 3 (0.6) | 2 (1.5) | 4.63 (0.71, 30.02) | 5.74 (0.87, 37.71) | 1 (1.1) | 3.10 (0.30, 32.46) | 3.85 (0.37, 40.66) |
Abbreviation: OR=odds ratio.
Models were adjusted for age, place of birth, education level, residential radon exposure, past history of lung diseases, any cancer in first-degree relatives, and intake of meat.
The reference group consists of never exposed to the specific agent.
The reference group consists of never exposed to any of the confirmed or suspected human carcinogens in the list. Bold values indicate P<0.05.
Table 4. OR of lung cancer and the 95% confidence intervals for occupational exposures to selected individual specific or group of agents among nonsmoking mena.
| Referents (n=536) |
Lung cancer cases (n=132)
|
Adenocarcinoma (n=89)
|
|||||
|---|---|---|---|---|---|---|---|
| Years of exposure | n (%) | n (%) | Adjusted OR1b | Adjusted OR2c | n (%) | Adjusted OR1b | Adjusted OR2c |
| Silica dust | |||||||
| Reference 1b | 516 (96.3) | 122 (92.4) | 1.00 | — | 82 (92.1) | 1.00 | — |
| Reference 2c | 344 (64.2) | 61 (46.2) | — | 1.00 | 41 (46.1) | — | 1.00 |
| 1–19 years | 11 (2.1) | 5 (3.8) | 2.23 (0.73, 6.81) | 2.68 (0.86, 8.35) | 3 (3.4) | 1.99 (0.51, 7.74) | 2.35 (0.59, 9.31) |
| ⩾20 years | 9 (1.7) | 5 (3.8) | 3.13 (0.91, 10.79) | 3.72 (1.06, 13.00) | 4 (4.5) | 4.50 (1.17, 17.33) | 5.23 (1.34, 20.44) |
| General painting work not involving spray | |||||||
| Reference 1b | 511 (95.3) | 120 (90.9) | 1.00 | — | 82 (92.1) | 1.00 | — |
| Reference 2c | 344 (64.2) | 61 (46.2) | — | 1.00 | 41 (46.1) | — | 1.00 |
| 1–19 years | 10 (1.9) | 5 (3.8) | 2.37 (0.68, 8.24) | 2.80 (0.80, 9.86) | 3 (3.4) | 1.90 (0.42, 8.57) | 2.29 (0.50, 10.42) |
| ⩾20 years | 15 (2.8) | 7 (5.3) | 2.36 (0.83, 6.72) | 2.79 (0.96, 8.08) | 4 (4.5) | 2.20 (0.65, 7.47) | 2.61 (0.75, 9.05) |
| Spray painting work | |||||||
| Reference 1b | 516 (96.3) | 121 (91.7) | 1.00 | — | 82 (92.1) | 1.00 | — |
| Reference 2c | 344 (64.2) | 61 (46.2) | — | 1.00 | 41 (46.1) | — | 1.00 |
| 1–19 years | 7 (1.3) | 4 (3.0) | 1.59 (0.32, 7.96) | 1.86 (0.37, 9.34) | 3 (3.4) | 1.56 (0.27, 9.12) | 1.83 (0.31, 10.82) |
| ⩾20 years | 13 (2.4) | 7 (5.3) | 3.66 (1.26, 10.59) | 4.28 (1.46, 12.57) | 4 (4.5) | 3.56 (0.99, 12.79) | 4.08 (1.12, 14.84) |
| Diesel exhaust | |||||||
| Reference 1b | 523 (97.6) | 126 (95.5) | 1.00 | — | 86 (96.6) | 1.00 | — |
| Reference 2c | 344 (64.2) | 61 (46.2) | — | 1.00 | 41 (46.1) | — | 1.00 |
| 1–19 years | 4 (0.7) | 4 (3.0) | 12.39 (2.40, 63.94) | 14.69 (2.83, 76.32) | 2 (2.2) | 6.16 (0.77, 49.27) | 7.56 (0.94, 60.83) |
| ⩾20 years | 9 (1.7) | 2 (1.5) | 1.05 (0.18, 6.26) | 1.28 (0.22, 7.65) | 1 (1.1) | 0.75 (0.08, 7.36) | 0.94 (0.10, 9.28) |
Abbreviation: OR=odds ratio.
Models were adjusted for age, place of birth, education level, residential radon exposure, past history of lung diseases, any cancer in first-degree relatives, and intake of meat.
The reference group consists of never exposed to the specific agent.
The reference group consists of never exposed to any of the confirmed or suspected human carcinogens in the list. Bold values indicate P<0.05.
Separate analyses were repeated for the risk of adenocarcinoma (Tables 3 and 4). We found that a significant OR (2.91, 95% CI: 1.10, 7.68) was retained only for workers exposed to silica dust with an indication of exposure–response relationship with duration of employment. A positive gradient was also observed for painting workers regardless of the process of spray. The risk estimates tended to be stronger when the reference group was replaced by a group of men who had never been exposed to any of the confirmed or suspected human carcinogens in the list (Tables 3 and 4). We further examined the correlation between occupational agents and found no obvious correlation between them (r=0.01–0.35). No important effect modification by exposure to ETS was identified for the associations between these defined occupational exposures and lung cancer.
Discussion
This population-based case–referent study aimed to identify occupational exposures related to elevated risk of lung cancer among lifelong nonsmoking Chinese men in Hong Kong. We found that the groups with employment as ‘bricklayers, carpenters, and other construction workers’ or occupational exposure to silica dust, diesel exhaust, or painting were associated with a significantly increased risk of lung cancer. On account of the small number of subjects in each specific industry or occupation, we analysed risk in major industrial and occupational groups, and found an increased risk of lung cancer among men who had ever been employed as ‘bricklayers, carpenters, and other construction workers’. In Hong Kong, workers employed in construction and the related work accounts for around 9% of the local workforce, while employment as ‘bricklayers, carpenters, and other construction workers’ is the major occupation of local construction industry involving several job tasks, such as stone cutting, pneumatic drilling, caisson, tunnelling, dynamiting, rock sand blasting (already banned), stone crushing, cement machine attendant, bricklayer, decoration work, truck driving or operators of excavating machines, and unskilled labourers (Yu et al, 2007). These job tasks are frequently linked to several occupational hazards, in particular, silica dust, diesel exhausts, and painting work. All these occupational exposures are confirmed or suspected as associated with an increased risk of lung cancer (IARC, 1989, 1997, 2009).
Crystalline silica dust has been reclassified as a human group 1 carcinogen by the International Agency for Research on Cancer (IARC) in 1997 (IARC, 1997), while its carcinogenicity has long been debated as potentially confounding the effect of smoking (McDonald and Cherry, 1999; Checkoway and Franzblau, 2000; Hessel et al, 2000; Pelucchi et al, 2006). We estimated the independent effect of silica dust in nonsmokers, thus avoiding this problem. A recently published multicentre case–referent study in Europe found an OR of 1.76 (95% CI: 0.97, 3.21) in nonsmoking subjects who had ever been exposed to silica dust, and a higher OR in the longest duration of employment group (OR=2.39, 95% CI: 1.11, 5.15, based on 223 cases of which 48 were male) after adjustment of age, sex, and study centre (Zeka et al, 2006). The same group of workers found an OR of 1.41 (95% CI: 0.79, 2.49) after redefining the nonexposure group as subjects not exposed to silica dust for >20 years before interview (Cassidy et al, 2007). We observed an OR of 2.58 among male workers ever exposed to silica dust and a positive association with increasing years of employment. We carried out a sensitivity analysis and found that the risk estimate was almost unchanged (OR=2.55, 95% CI: 1.14, 5.73) after redefining the nonsmoking status as that of the European study – a man who smoked <100 cigarettes in his lifetime (Zeka et al, 2006). We further re-estimated the results by removing ‘any cancer in first-degree relatives’, ‘past history of lung diseases’, and ‘meat intake’ (these variables were not considered in Cassidy’s study) from the model, and found that the OR was reduced by 6.2% (OR=2.42, 95% CI: 1.07, 5.49), but it was still higher than those reported by Zeka et al (2006). Our study provides supportive evidence for an independent effect of crystalline silica on lung cancer risk among nonsmokers.
About 18% of our nonsmoking lung cancer cases had been involved in painting work and majority of them were assigned in renovation work of construction or car renewals in which spray painting is frequently required. Employment as a painter has been listed as a human group 1 carcinogen (IARC, 1989); two recent reviews support the conclusion of IARC after assessing reports on painters published since 1951 and a weak association for lung cancer risk (1.22 and 1.36) was shown after controlling for smoking (Bachand et al, 2010; Guha et al, 2010). Occupational exposure as a spray painter has been associated with an increased risk of urinary tract and testicular cancer, whereas its separate effect on lung cancer has not yet been reported (IARC, 1989). We found a slightly higher risk of lung cancer among painting workers using spray at work (OR=2.81) than general painters whose work never involved spraying (OR=2.36), suggesting exposure differences. Painting workers are commonly exposed by inhalation of solvents and paint dusts (e.g. silica dusts, asbestos dusts, and heavy metals) (IARC, 1989), while spray painting workers may be additionally exposed to a variety of suspected carcinogens in the form of aerosol or fine particles, which can be readily absorbed deep into the lungs (Sabty-daily et al, 2005). Our positive association with years of employment as spray painters corroborates the IARC conclusion.
Previous studies showed an average of 33% (95% CI: 24, 44%) excess risk of lung cancer among railroad workers and truck drivers occupationally exposed to diesel engine exhaust emissions, but were commonly criticised for the lack of reliable exposure assessment and inadequate control for smoking. The IARC evaluated diesel exhaust as a group 2A carcinogen because of the limited evidence of carcinogenicity in humans (IARC, 2009). We observed an OR of 3.47 among nonsmoking men occupationally exposed to diesel exhaust, which is much higher than previously reported, but may well be as only six cases of lung cancer were exposed to diesel exhaust and there was no gradient with duration of employment.
There have been few studies of occupation and histological types of lung cancer among lifelong nonsmoking men. Our study numbers allowed us to explore only the risk of adenocarcinoma (the commonest histological type), and among nonsmoking men, we found a slightly higher association with silica dust exposure (a significant OR retained), but a relatively lower OR for occupational exposure to painting and diesel exhaust than all lung cancer cases. The relatively wide CIs of many of risk estimates indicate our limited powers for investigating associations with adenocarcinoma risk, while the multiple comparisons point to the possibility that some significant results have occurred by chance.
Accuracies in recall of nonsmoking status of our subjects (>0.95) and selection bias for the cases and community referents have been addressed in another paper about ETS and lung cancer (Tse et al, 2009b). Misclassification of self-reported occupational exposures is a concern because the workers might not accurately identify the specific hazards in their working environments, but these are likely to be nondifferential between cases and referents, resulting in under-estimation of risk. Also, it is difficult to detangle the effects of different job tasks when workers were employed in several occupations during their lifetimes and thus potentially exposed to multiple chemical substances, which indeed may occur even if only one occupation was involved. We are aware that using ‘ever exposure’ might not be a good measurement to quantify the independent effect of an occupational exposure. This study is, therefore, only preliminary and needs confirmation.
To further evaluate the potential recall and/or interviewer bias, we interviewed a subgroup of 45 proxy respondents (e.g. spouse) 2 months after the initial interview and found the overall agreement on occupational exposures was excellent (κ=0.72). The test–retest reliability for the same respondents was also very good for both cases (κ=0.65) and referents (κ=0.60). We further interviewed a special group of 64 inpatient referents (who had to undergo surgical operations for suspected lung cancer and were treated as lung cancer cases at the interviews, but eventually were diagnosed as not suffering from lung cancer) who showed a lower proportion of occupational exposures than the confirmed lung cancer cases, suggesting that any interviewer or recall bias was not a major issue.
Our study found that men employed as ‘bricklayers, carpenters, and other construction workers’ and those who had ever been occupationally exposed to silica dust, diesel exhaust, and painting work were associated with an increased risk of all lung cancers, and the effects were independent of smoking.
Acknowledgments
The work described in this paper was substantially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China, Project No. CUHK4460/03M. The funding source had no role in the study design, data collection, data analysis, or interpretation of the findings.
Footnotes
The authors declare no conflict of interest.
References
- Alberg AJ, Brock MV, Samet JM (2005) Epidemiology of lung cancer: looking to the future. J Clin Oncol 23: 3175–3185 [DOI] [PubMed] [Google Scholar]
- Bachand A, Mundt KA, Mundt DJ, Carlton LE (2010) Meta-analyses of occupational exposure as a painter and lung and bladder cancer morbidity and mortality 1950–008. Crit Rev Toxic 40: 101–125 [DOI] [PubMed] [Google Scholar]
- Cassidy A, ′t Mannetje A, van Tongeren M, Field JK, Zaridze D, Szeszenia-Dabrowska N, Rudnai P, Lissowska J, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Fevotte J, Fletcher T, Brennan P, Boffetta P. Occupational exposure to crystalline silica and risk of lung cancer a multicenter case-control study in Europe. Epidemiology 2007; 18: 36–43 [DOI] [PubMed] [Google Scholar]
- Checkoway H, Franzblau A (2000) Is silicosis required for silica-associated lung cancer? Am J Ind Med 37: 252–259 [DOI] [PubMed] [Google Scholar]
- Ferris BG (1978) Epidemiology Standardization Project (American Thoracic Society). Am Rev Respir Dis 118: 1–20 [PubMed] [Google Scholar]
- Guha N, Merletti F, Steenland NK, Altieri A, Cogliano V, Straif K (2010) Lung cancer risk in painters: a meta-analysis. Environ Health Persp 118: 303–312 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hessel PA, Gamble JF, Gee JBL, Gibbs G, Green FHY, Morgan WKC, Mossman BT (2000) Silica, silicosis, and lung cancer: a response to a recent working group report. J Occup Environ Med 42: 704–720 [DOI] [PubMed] [Google Scholar]
- IARC (1989) International Agency for Research on Cancer Monographs on the Evaluation of Carcinogenic Risks to Humans Some Organic Solvents, Resin Monomers and Related Compounds, Pigments and Occupational Exposures in Paint Manufacture and Painting. IARC Press: Lyon [PMC free article] [PubMed] [Google Scholar]
- IARC (1997) IARC Monographs on the Evaluation of Carcinogenic Risks to Human, Silica, Some Silicates, Coal Dust, and Para-aramid Fibrils, Vol. 68. IARC Publications: Lyon [PMC free article] [PubMed] [Google Scholar]
- IARC (2004) IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Vol. 83, Tobacco Smoke and Involuntary Smoking. IARC Press: Lyon, France [PMC free article] [PubMed] [Google Scholar]
- IARC (2009) Diesel and Gasoline Engine Exhausts and Some Nitroarenes, IARC Monographs Vol. 46. http://monographs.iarc.fr/ENG/Monographs/vol46/volume46.pdf [accessed on 11 December 2009]
- International Labour Office (1968) International Standard Classifications of Occupations, 2nd edn. International Labour Office Publications: Geneva [Google Scholar]
- Liddell FDK (2001) The interaction of asbestos and smoking in lung cancer. Ann Occup Hyg 45: 341–356 [PubMed] [Google Scholar]
- McDonald C, Cherry N (1999) Crystalline silica and lung cancer: the problem of conflicting evidence. Indoor Built Environ 8: 121–126 [Google Scholar]
- Pelucchi C, Pira E, Piolatto G, Coggiola M, Carta P, La Vecchia C (2006) Occupational silica exposure and lung cancer risk: a review of epidemiological studies 1996–2005. Ann Oncol 17: 1039–1050 [DOI] [PubMed] [Google Scholar]
- Peto R, Darby S, Deo H, Silcocks P, Whitley E, Doll R (2000) Smoking, smoking cessation, and lung cancer in the UK since 1950: combination of national statistics with two case–control studies. Br Med J 321: 323–329 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pohlabeln H, Boffetta P, Ahrens W, Merletti F, Agudo A, Benhamou E, Benhamou S, Bruske-Hohlfeld I, Ferro G, Fortes C, Kreuzer M, Mendes A, Nyberg F, Pershagen G, Saracci R, Schmid G, Siemiatycki J, Simonato L, Whitley E, Wichmann HE, Winck C, Zambon P, Jockel KH (2000) Occupational risks for lung cancer among nonsmokers. Epidemiology 11: 532–538 [DOI] [PubMed] [Google Scholar]
- Sabty-daily RA, Harris PA, Hinds WC, Froines JR (2005) Size distribution and speciation of chromium in paint spray aerosol at an aerospace facility. Ann Occup Hyg 49: 47–59 [DOI] [PubMed] [Google Scholar]
- Tse LA, Mang OW, Yu ITS, Wu F, Au JSK, Law SCK (2009a) Cigarette smoking and changing trends of lung cancer incidence by histological subtype among Chinese male population. Lung Cancer 66: 22–27 [DOI] [PubMed] [Google Scholar]
- Tse LA, Yu IT, Au JS, Yu KS, Kwok KP, Qiu H, Wong TW (2009b) Environmental tobacco smoke and lung cancer among Chinese nonsmoking males: might adenocarcinoma be the culprit? Am J Epidemiol 169: 533–541 [DOI] [PubMed] [Google Scholar]
- United Nations Publications (1971) International Standard Industrial Classification of All Economic Activities (ISIC). Publishing Service United Nations: New York [Google Scholar]
- Yu IT, Tse LA (2006) Exploring the joint effects of silicosis and smoking on lung cancer risks. Int J Cancer 120: 133–139 [DOI] [PubMed] [Google Scholar]
- Yu IT, Tse LA, Leung CC, Wong TW, Tam CM, Chan AC (2007) Lung cancer mortality among silicotic workers in Hong Kong – no evidence for a link. Ann Oncol 18: 1056–1063 [DOI] [PubMed] [Google Scholar]
- Zeka A, Mannetje A, Zaridze D, Szeszenia-Dabrowska N, Rudnai P, Lissowska J, Fabianova E, Mates D, Bencko V, Navratilova M, Cassidy A, Janout V, Travier N, Fevotte J, Fletcher T, Brennan P, Boffetta P (2006) Lung cancer and occupation in nonsmokers: a multicenter case–control study in Europe. Epidemiology 17: 615–623 [DOI] [PubMed] [Google Scholar]