Cause-specific mortality in the unionized U.S. trucking industry.

Population-based studies have related exposure to fine particulate air pollution (Dominici et al. 2006; Laden et al. 2006; Pope et al. 2002, 2004), and specifically particulate matter (PM) from vehicle exhausts (Dominici et al. 2006; Garshick et al. 2004; Hoek et al. 2002; Laden et al. 2000; Le Tertre et al. 2002; Nafstad et al. 2003, 2004; Nyberg et al. 2000; Peters et al. 2004) to cardiovascular diseases and lung cancer. We have established a large retrospective cohort study of mortality in the unionized U.S. trucking industry. Each job category in this population has distinct exposure patterns: drivers are exposed directly to traffic; dockworkers are exposed to trucks in the yard and propane and liquified natural gas exhaust from forklifts; shopworkers are exposed to short-term vehicle exposures during repairs; and other terminal-based personnel have little exposure to vehicle exhaust (Davis et al. 2006; Smith et al. 2006). To provide insight into mortality patterns associated with these exposures we examined rates of cause-specific mortality by the different job categories in the trucking industry compared with the general U.S. population.

Materials and Methods

The Trucking Industry Particle Study. The Trucking Industry Particle Study was designed to assess the risk of lung cancer mortality in trucking industry workers with exposures to diesel and other vehicle exhausts. The study consists of three parts: a) a retrospective cohort study of lung cancer mortality among Teamsters Union members employed in 1985 in four participating companies; b) an extensive national exposure assessment designed to determine the factors influencing exposure to diesel and other vehicle exhausts, including job title, diesel vehicle use, and size and location of assigned terminal (Davis et al. 2006; Smith et al. 2006); and c) a mailed questionnaire sent to current workers to assess the distribution of smoking habits by job title and terminal characteristics (Jain et al. 2006). The Brigham and Women's Hospital, Harvard School of Public Health, and VA Boston Institutional Review Boards approved the protocol. Cohort participants were not contacted directly, and therefore could not provide informed consent. Individuals completing the smoking questionnaire were sent a cover letter describing the goals of the study and other key aspects of informed consent, and were assumed to have given consent by completing the questionnaire.

We obtained detailed work history information for all 58,326 unionized trucking industry employees (54,319 men and 4,007 women) who had worked for at least 1 day in 1985 at one of the participating companies. Information available on each individual included social security number, age, race, sex, date of hire, last date of work, and daily job title and terminal (i.e., workplace) location through 2000. In one of the four companies, computer files were only available for the active workers starting in 1993. Therefore, we included only workers at that company who were working in 1985 and were still working in 1993.

Job titles. Job titles and duties were uniform across the four companies. Table 1 includes the description and work location for each job title. An individual contributed person-time through 2000 in each job category for which he or she had at least 1 day of work experience. The time periods did not have to be consecutive. Intercity long haul drivers, city pick-up and delivery (P&D) drivers, and combination drivers (loading dock workers who also drive P&D trucks) were grouped together into a "driver" category, and all other job titles were considered "non-drivers."

Table 1. Job titles, duties, and job location in the unionized
trucking industry.

Job group                        Duties

Long-haul driver      Drive heavy-duty tractor-trailer trucks
                      betweencities

P&D driver            Drive tractors and smaller single-bodied
                      trucks within cities or rural areas;
                      pick-up and deliver cargo between terminal
                      docks and consumers

Dockworker            Load and unload cargo; may operate forklifts

P&D/dockworker        Combination job: performs activities of
(combination)         either P&D driver or dockworker; more
                      likely at smaller terminals

Mechanic              Repair and  maintain tractors; job may
                      include fueling

Hostler               Drive small tractor units that do not comply
                      with emissions standards, moving trailers
                      between the freight dock and the terminal yard

Clerks                Cashiers, dock clerks, dispatchers, customer
                      service representatives, and others not
                      regularly near diesel vehicles

Job group                         Location

Long-haul driver              Highway truck cab

P&D driver                    hand out of truck
                              cab

Dockworker                    Loading dock

P&D/dockworker (combination)  As noted above for
                              each job

Mechanic                      Truck repair shop

Hostler                       Terminal yard

Clerks                        Offices, occasionally
                              dock

Mortality follow-up. Vital status, date of death, and cause-specific mortality from 1985 through 2000 was obtained through searching the National Death Index [National Center for Health Statistics (NCHS), Hyattsville, MD]. Matching criteria included social security number; month and year ([+ or -] 1) of birth; and first name, middle initial, and last name. From 1985 to 2000, there were a total of 4,950 deaths (4,875 men and 75 women).

Cause of death. Annual cause-specific death rates by 10-year age group and race were obtained from the CDC WONDER database [Centers for Disease Control and Prevention (CDC) 2005]. Due to the small number of females, only males were used in the analysis. We considered causes of death by major disease classification, as well as additional causes potentially associated with fine particulate air pollution and diesel and other vehicle exhausts. These additional causes included lung cancer (Bhatia et al. 1998; Diesel Epidemiology Expert Panel 1999; Lipsett and Campleman 1999), bladder cancer (Boffetta and Silverman 2001), ischemic heart disease (Pope et al. 2004), and obstructive lung disease (defined as "chronic lower respiratory disease") (Hart et al. 2006).

Statistical analysis. Expected numbers of all and cause-specific deaths were calculated by multiplying the person-years in each race-, 10-year-age-, and calendar period--specific stratum by the national reference rates for the entire cohort and stratified by driver versus nondriver. Standardized mortality ratios (SMRs) were calculated as the ratio of observed to expected deaths. We calculated 95% confidence intervals (CIs) under the assumption that the observed numbers of deaths follow a Poisson distribution.

To assess the potential impact of smoking on our interpretation of comparisons of mortality rates in the trucking industry with the general population, we calculated birth cohort--specific smoking rates for both groups. Year of birth and ever-smoking and current smoking rates for the trucking industry were obtained from the mailed questionnaire (Jain et al. 2006). Equivalent ever-smoking rates for the male U.S. population in 1988 were obtained from the 1997 Surgeon General's report (National Cancer Institute 1997). Because rates were available by race only, we calculated combined rates weighting by the racial distribution of the trucking cohort. Current smoking rates for 2003 were obtained from the "Chartbook on Trends in Human Health" for the male U.S. population, regardless of race (NCHS 2006).

Results

Among the 54,319 male employees, there were 756,311.7 person-years of follow-up time. Demographics of the study population by driver status at the end of follow-up are presented in Table 2. The mean age of the full cohort in 1985 ([+ or -] SD) was 42.2 [+ or -] 10.0, and the drivers were slightly older than the nondrivers. The median age of death was 61.9 years, lower than the national median for all males (73.2 years of age in 1992; NCHS 1994). The majority of the deaths occurred among the individuals who were at least 40 years of age in 1985. The majority of the population was white (83.1%). The mean duration of work for drivers and nondrivers was 20.3 [+ or -] 8.1 years and17.1 [+ or -] 10.0 years, respectively. Of the cohort, 82% did not switch driver/nondriver status. The majority of the switching was between the dockworker (nondriver) and combination worker/P&D driver job titles.

Table 2 Characteristics of the males in the cohort by driver/nondriver
status.

                                            Drivers

Total no.                                         36,299
No. of deaths                                      3,693
Race(no.)
White                                             30,668
Black                                              3,359
Other                                              2,272
Age in 1985 (years, mean [+ or -] SD)   44.0 [+ or -]9.1
Age at death (years, mean [+ or -] SD)  61.3 [+ or -]8.6
Year of hire (mean [+ or -] SD)         1974 [+ or -]8.0
Total years of work (mean [+ or -] SD)  20.3 [+ or -]8.1

                                           Non drivers

Total no.                                          18,020
No. of deaths                                       1,182
Race(no.)
White                                              14,489
Black                                               1,575
Other                                               1,956
Age in 1985 (years, mean [+ or -] SD)   38.6 [+ or -]10.6
Age at death (years, mean [+ or -] SD)  59.2 [+ or -]10.6
Year of hire (mean [+ or -] SD)          1976 [+ or -]7.9
Total years of work (mean [+ or -] SD)  17.1 [+ or -]10.0

                                              Total

Total no.                                          54,319
No. of deaths                                       4,875
Race(no.)
White                                              45,157
Black                                               4,934
Other                                               4,228
Age in 1985 (years, mean [+ or -] SD)   42.2 [+ or -]10.0
Age at death (years, mean [+ or -] SD)           60.8+9.2
Year of hire (mean [+ or -] SD)          1975 [+ or -]8.0
Total years of work (mean [+ or -] SD)         19.2 + 8.9

The SMRs for all-cause and cause-specific mortality by major disease classification are presented in Table 3. As expected in a working cohort, there was evidence of a healthy worker effect; the SMR for all-cause mortality was 0.72 (95% CI, 0.70--0.74), and most of the cause-specific SMRs are < 1, including malignant neoplasms as a group and diseases of the circulatory system. However, the specific SMRs for lung cancer (SMR = 1.04; 95% CI, 0.97--1.12) and ischemic heart disease (SMR = 1.41; 95% CI, 1.33--1.49) were elevated.

Table 3. Cause-specific mortality in the Trucking Industry Particle
Study cohort (n = 54,319 men), 1985-2000.

Cause of death                         I.CD-9           ICD-10

All causes
Infectious and parasitic diseases          1-139    AO-99, BO-99
Malignant neoplasms                      140-208     CO-97, DO-9
Bladder cancer                               188             C67
Lung cancer                                  162          133-34
Diabetes                                     250          E10-14
Blood diseases                           280-289          D50-89
Mental disorders                         290-319           F1-99
Nervous system diseases                  320-389           GO-98
Circulatory system diseases              390-459           10-99
Ischemic heart disease                   410-414          120-25
Cerebrovascular disease                  430-438          160-69
Respiratory system diseases              480-519  J10-18, J40-98
Chronic lower respiratory disease  490-494, 496,          J40-47
                                           519.9
Digestive system diseases                520-579           KO-92
Skin diseases                            680-709           LO-98
Musculoskeletal system diseases          710-739           MO-99
Symptoms of congenital anomalies         780-799           QO-99
Accidents, homicide, suicide             800-999    VO-99, WO-98
                                                    XO-98, YO-98
Trans port-related accidents             800-848           VO-99

Cause of death                     Observed  Expected  SMR     95% CI

All causes                            4,875    6791.9  0.72  0.70-0.74
Infectious and parasitic diseases        86     278.4  0.31  0.25-0.38
Malignant neoplasms                   1,735   2003.86  0.87  0.83-0.91
Bladder cancer                           29      36.3  0.80  0.56-1.15
Lung cancer                             769     737.8  1.04  0.97-1.12
Diabetes                                103     173.5  0.59  0.49-0.72
Blood diseases                           15      21.5  0.70  0.42-1.17
Mental disorders                         30      86.0  0.35  0.24-0.50
Nervous system diseases                  59      99.6  0.59  0.46-0.76
Circulatory system diseases           1,793    2472.1  0.73  0.69-0.76
Ischemic heart disease                1,133     803.8  1.41  1.33-1.49
Cerebrovascular disease                 167     242.9  0.69  0.59-0.80
Respiratory system diseases             322     437.4  0.74  0.66-0.82
Chronic lower respiratory disease       212     253.1  0.84  0.73-0.96
Digestive system diseases               143     321.9  0.44  0.38-0.52
Skin diseases                             3       5.1  0.59  0.19-1.84
Musculoskeletal system diseases           4      15.5  0.26  0.10-0.69
Symptoms of congenital anomalies         47      63.5  0.74  0.56-0.99
Accidents, homicide, suicide            431     645.2  0.67  0.61-0.73
Trans port-related accidents            178     189.4  0.94  0.81-1.09

Abbreviations: ICD-9, International Classification of Diseases, Ninth
Revision (WHO 1977); ICD-10, International Classification of Diseases,
Tenth Revision (WHO 1993).

When assessed by specific job title, we observed elevated SMRs for lung cancer among the long-haul drivers, P&D drivers, combination workers, and dockworkers, with SMRs ranging from 1.08 for the combination workers to 1.16 for the P&D drivers (Figure 1). Among all drivers and dockworkers, the SMRs were 1.10 (95% CI, 1.02--1.19) and 1.10 (95% CI, 0.94--1.30), respectively. Although there was an overall deficit of deaths caused by circulatory system disease, ischemic heart disease mortality was elevated among these same job titles [all drivers SMR = 1.49 (95% CI, 1.40--1.59); dockworker SMR = 1.32 (95% CI, 1.15--1.52)], as well as among the shop workers (SMR = 1.34; 95% CI, 1.05--1.72). In Figure 2, we also present the SMRs for the remaining causes of death by driver status. Transport-related accidents were elevated in drivers only (SMR = 1.15; 95% CI, 0.97--1.37). We found no evidence of increased bladder cancer, obstructive lung disease, or cerebrovascular mortality. All results were similar in analyses that removed the company with information available only on workers who were still working in 1993.

Figure 3 shows the comparison of the ever-smoking and current smoking rates in the surveyed trucking population with the birth cohort--specific rates in the general U.S. male population. For both drivers and nondrivers, the ever-smoking rates were similar to the general population. Current smoking rates among the drivers track with the U.S. population, except for the two youngest birth cohorts, and the rate of current smoking is highest among the nondrivers.

Discussion

As expected in a working population, there was a deficit in overall and all-cancer mortality and in most other causes of death, likely due to the healthy worker effect. In contrast, there were 31 excess deaths due to lung cancer and 329 due to ischemic heart disease--a 41% excess--in this "healthy worker" population compared with the general U.S. population. Lung cancer rates were elevated among all drivers and dockworkers; ischemic heart disease was also elevated among these jobs, as well as among shop workers. Transport accidents were only elevated in the driver categories.

Because this was a retrospective cohort study using company records to identify the cohort, no information was available on potential confounders such as smoking or diet. However, smoking histories were available from a representative survey of currently employed and recently retired workers (Jain et al. 2006). Birth cohort--specific ever-smoking rates were similar to the male U.S. general population rates available in 1988. These data were limited in that there were proportionally fewer older workers included in the mail survey compared with the retrospective cohort study, and recent information on birth cohort--specific eversmoking rates were not available. However, current smoking rates based on the mail survey were similar to U.S. birth cohort--specific rates in 2003; among the nondrivers, who had the lowest risks, rates were actually slightly higher than the U.S. population for most birth cohorts. For the drivers, however, differences from the general population were evident only in the younger birth cohorts who contributed < 1% of the total deaths. Therefore, excess smoking in this population compared with the general U.S. population is unlikely to explain the elevated lung cancer and ischemic heart disease rates. Chronic obstructive pulmonary disease and other diseases of the respiratory system, which are predominantly related to smoking, were not elevated, providing further support for this conclusion. In contrast, diet and other lifestyle information were not available and may partially explain the elevated rates of ischemic heart disease (Pearson et al. 2002). Other factors that may also contribute to lung cancer risk, including family history and history of obstructive lung disease, are also not known, but these are not likely to be associated with exposure and are unlikely to be confounders.

Another potential limitation is the representativeness of these unionized workers to the rest of the U.S. trucking industry. Work practices among unionized companies are welldefined and the workforce is stable. It is possible that equipment-maintenance practices in these companies are more stringent than in the general trucking industry. However, there is wide variation even among our included companies, which has not been an important determinant of exposure in our exposure assessment studies (Smith et al. 2006). Finally, there is no reason to believe that these findings by job title would not be applicable to equivalent jobs in other nonunionized companies.

The observed elevations in lung cancer mortality are consistent with results from previous occupational and general population studies. Results from > 30 studies in a variety of occupational groups with diesel and vehicle exhaust exposures, including truck and other professional drivers, have been quite consistent with relative risks for lung cancer ranging from 1.2 to 1.4 (Bhatia et al. 1998; Diesel Epidemiology Expert Panel 1999; Lipsett and Campleman 1999). In a case--control study of lung cancer mortality in the U.S. unionized trucking industry, Steenland et al. (1990) observed age-and smoking-adjusted odds ratios of 1.27 for long-haul truck drivers, 1.31 for P&D drivers, 1.69 for shopworkers, and 0.92 for dockworkers, compared with workers in the same union but not in trucking-related jobs. Nyberg et al. (2000) in Stockholm County, Sweden, and Nafstad et al. (2003) in Oslo, Norway, reported an association between lung cancer risk and historical exposures to traffic after adjustment for smoking. The American Cancer Society (Pope et al. 1995, 2002) and the Harvard Six Cities Study (Dockery et al. 1993; Laden et al. 2006), two population-based prospective cohort studies in the United States, also observed elevated lung cancer mortality with increasing levels of PM from combustion sources. Nevertheless, the association of lung cancer with exposure to diesel exhaust is still being questioned (Hesterberg et al. 2006; Stober et al. 1998).

Exhaust exposures in the trucking industry are from diesel, gasoline, and propane sources. Trucking industry employees who drive trucks are mainly exposed to combustion particles attributable to gasoline and diesel traffic in the cities and on the highways where they work and drive. Loading-dock workers are currently exposed to exhaust from propane forklifts. Diesel forklifts were used during the 1980s and 1990s, and gasoline forklifts were used before that time. Historically there has been concern about lung cancer risk from diesel exhaust since older diesel engines produced more PM on a mass basis than other emission sources. These particles are mainly < 1.0 [micro]m in diameter and contain mutagenic and carcinogenic organic carbons, including polycyclic aromatic hydrocarbons (Diesel Working Group 1995). Despite extensive efforts, the specific mechanisms and dose whereby diesel exhaust might cause lung cancer in humans remain uncertain, and there is no animal model relevant to human exposures (U.S. Environmental Protection Agency 2002). Although the size distribution of particles in gasoline emissions is similar to that in diesel emissions (Allen et al. 2001; Fraser et al. 2003; Geller et al. 2005; Kittelson et al. 2003; Kleeman et al. 2000; Zielinska et al. 2004) and the particles include mutagenic compounds, lung cancer risk as a result of gasoline particle exposure has not been extensively studied. Propane forklift emissions include ultrafine PM (Guo et al. 2004; Rundell 2003), but the composition of these particles has not been well characterized.

There have been fewer studies investigating the relationship between occupational exposure to vehicle exhaust and ischemic heart disease risk. In Danish bus, taxi, and truck drivers, rates of hospital admissions for ischemic heart disease were elevated 20--80% compared with other employed Danish men (Hannerz and Tuchsen 2001). Gustavsson et al. (1996) found a significantly elevated risk of myocardial infarction among long-distance truck drivers in Sweden [relative risk (RR) = 1.31]. The risk was not elevated among short-distance truck drivers, but relatively few were included in the study. In a case--control study assessing cardiovascular risk factors in survivors of first-time myocardial infarction, male bus and taxi drivers who worked for > 1 year had a nonsignificantly elevated risk (RR = 1.49; 95% CI, 0.90--2.45; and RR = 1.34; 95% CI, 0.82--2.19, respectively). The risk among truck drivers was 1.10 (95% CI, 0.79--1.53) (Bigert et al. 2003). However, the literature shows that there is growing evidence of an association of exposures to vehicle exhaust with ischemic heart disease in the general population. In Sweden, Nafstad et al. (2004) also observed an association with ischemic heart disease. In the Netherlands, Hoek et al. (2002) observed an RR of cardiopulmonary deaths of 1.71 (95% CI, 1.10--2.67) for each 10 [micro]g/[m.sup.3] of black smoke, a marker of traffic. Peters et al. (2004) found that exposure to traffic was associated with the time of onset of myocardial infarction. Finally, an analysis based on specific elements from particles in six U.S. cities found greater effects on daily mortality rates (particularly for cardiovascular deaths) attributable to particles from mobile sources than to particles from other sources (Laden et al. 2000).

The association between ischemic heart disease and combustion-related PM is supported by animal experiments (Sun et al. 2005; Suwa et al. 2002). A potential mechanism appears to be related to systemic inflammation in which the inhalation of PM provokes a low grade systemic inflammatory response and changes in blood coagulability (Peters et al. 2001; Riediker et al. 2004; Schwartz 2001; van Eeden et al. 2001). ST segment depression during exercise has also been associated with fine particulate air pollution (Pekkanen et al. 2002) and exposure to black carbon, suggesting a specific association with traffic (Gold et al. 2005; Lanki et al. 2006). Taken together, these results suggest an adverse effect of traffic and other combustion-related PM on ischemic heart disease mortality.

There are workplace conditions, work practices, and lifestyle choices associated with the trucking industry that may have an impact on life expectancy and mortality from specific causes independent of exposures to traffic and other sources of vehicle exhaust. As in any occupational SMR analysis, we were unable to control for known risk factors of the diseases of interest other than age, sex, and race. However, our mail survey demonstrates that at least one factor--smoking--was unlikely to explain our results. In this detailed assessment of specific job groupings, we conclude that there is an excess of mortality due to lung cancer and ischemic heart disease in the U.S. trucking industry, particularly among drivers. Further research is required to assess the contribution of lifestyle and personal habits to these health risks in trucking industry workers. However, our findings are consistent with previous occupational and general population studies relating PM exposures to lung cancer and cardiovascular disease and suggest that vehicle exhaust from a variety of sources contributes to this risk.

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Francine Laden, Jaime E. Hart, Thomas J. Smith, Mary E. Davis, and Eric Garshick

(1)Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA; (2)Exposure, Epidemiology and Risk Program, Department of Environmental Health, and (3)Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA; (4)Department of Resource Economics and Policy, University of Maine, Orono, Maine, USA; (5)Pulmonary and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, West Roxbury, Massachusetts, USA

Address correspondence to F. Laden, Channing Laboratory, 181 Longwood Ave., Boston MA 02115 USA. Telephone: [phone]. Fax: [phone]. E-mail: [e-mail]

We thank M.J. Canner for programming assistance, the Teamster Health and Safety Office, and the participating companies.

This study was supported by grant R01 CA90792 from the National Institutes of Health/National Cancer Institute.

The authors declare they have no competing financial interests.

Received 21 December 2006; accepted 27 April 2007.

Francine Laden, (1) (2) (3) Jaime E. Hart, (1) (2) Thomas J. Smith, (2) Mary E. Davis, (2) (4) and Eric Garshick (1), (5)

(1) Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA; (2) Exposure, Epidemiology and Risk Program, Department of Environmental Health, and (3) Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA; (4)Department of Resource Economics and Policy, University of Maine, Orono, Maine, USA; (5) Pulmonary and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, West Roxbury, Massachusetts, USA