Specific occupations are associated with adverse respiratory health. Inhalation exposures encountered in these jobs may place workers at risk of new-onset respiratory disease.
We analyzed data from 8,967 participants from the Atherosclerosis Risk in Communities (ARIC) study, a longitudinal cohort study. Participants included in this analysis were free of chronic cough and phlegm, wheezing, asthma, chronic bronchitis, emphysema, and other chronic lung conditions at the baseline examination, when they were aged 45-64 years. Using data collected in the baseline and first follow-up examination, we evaluated associations between occupation and the three-year incidence of cough, phlegm, wheezing, and airway obstruction and changes in forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) measured by spirometry. All associations were adjusted for age, cigarettes per day, race, smoking status, and study center.
During the approximately three-year follow-up, the percentage of participants developing chronic cough was 3%; chronic phlegm, 3%; wheezing, 3%; and airway obstruction, defined as FEV1 < lower limit of normal (LLN) and FEV1/FVC < LLN, 2%. The average annual declines in FEV1 and FVC were 56 mL and 66 mL, respectively, among men and 40 mL and 52 mL, respectively, among women. Relative to a referent category of managerial and administrative support occupations, elevated risks of new-onset chronic cough and chronic phlegm were observed for mechanics and repairers (chronic cough: RR: 1.81, 95% CI: 1.02, 3.21; chronic phlegm: RR: 2.10, 95% CI: 1.23, 3.57) and cleaning and building service workers (chronic cough: RR: 1.85, 95% CI: 1.01, 3.37; chronic phlegm: RR: 2.28, 95% CI: 1.27, 4.08). Despite the elevated risk of new-onset symptoms, employment in cleaning and building services was associated with attenuated lung function decline, particularly among men, who averaged annual declines in FEV1 and FVC of 14 mL and 23 mL, respectively, less than the declines observed in the referent population.
Employment in mechanic and repair jobs and cleaning and building service occupations are associated with increased incidence of respiratory symptoms. Specific occupations affect the respiratory health of adults without pre-existing respiratory health symptoms and conditions, though long-term health consequences of inhalation exposures in these jobs remain largely unexplored.
Exposure to inhalation hazards in the workplace can initiate respiratory symptoms among previously asymptomatic individuals [
Among young adults without asthma, prospective cohort data from general population-based research have shown elevated risks of new-onset asthma among men and women in nursing and cleaning professions and those whose jobs involved exposures to high molecular weight agents such as latex and flour [
We conducted an epidemiological analysis using data collected in the ARIC study, a prospective cohort study designed to assess the etiology of atherosclerosis and its clinical sequelae in a general population-based sample of men and women, aged 45-64 years, enrolled from four communities: Forsyth County, North Carolina; Jackson, Mississippi; the suburbs of Minneapolis, Minnesota; and Washington County, Maryland. Survey of the ARIC study population began with a baseline examination ('visit 1') that included detailed questionnaire and clinical evaluations. Approximately three years later, members of the cohort returned for a follow-up examination ('visit 2'). At both visits, participants completed spirometry and interviewer-administered questionnaires to provide information about his/her health history, current health status, and other related factors. Institutional review boards of participating study centers approved the study protocol and instruments and participants provided written informed consent. A detailed description of the ARIC study design and methods are available elsewhere [
Of the 15,792 participants who completed the visit 1 exam, we identified 8,967 participants who completed the visit 2 exam; had complete data for the variables included in our final models; did not report chronic cough, chronic phlegm, wheezing symptoms, or diagnoses of asthma, chronic bronchitis, emphysema, or other chronic lung conditions in the visit 1 exam; were not categorized as having airway obstruction based on spirometry completed in the visit 1 exam; and for whom the best forced vital capacity (FVC) measurement at visit 2 was generated during an exhalation of at least six seconds (Table
Selection of the final study population: the ARIC study
| ARIC study visit 1 participants | 15,6491 | |
| Completed visit 2 examination | 14,218 | |
| Excluded due to missing data | ||
| Missing respiratory health data | 780 | |
| Missing smoking status | 172 | |
| Missing current or most recent occupation | 12 | |
| Excluded due to self-reported respiratory symptoms2 and conditions3 at visit 1 | 3,289 | |
| Excluded due to airway obstruction4 at visit 1 | 474 | |
| Excluded due to best visit 1 FVC measurement generated with an exhalation of < 6 seconds | 524 | |
| Final study population | 8,967 | |
1Excludes participants who did not consent to the use of their data for non-cardiovascular health research (n = 41), races other than black or white (n = 48), and black participants recruited from suburbs of Minneapolis, Minnesota or Washington County, Maryland (n = 54) excluded to avoid prohibitively small numbers of participants in these strata of race and study center.
2Chronic cough, chronic phlegm, or wheezing
3Asthma, chronic bronchitis, emphysema, or other chronic lung disease
4Defined as FEV1 < LLN and FEV1/FVC < LLN
At the visit 1 examination, each participant reported his/her current employment status and current or most recent occupation. Current employment status was used to identify homemakers; for the remaining participants, occupations identified as the current or most recent occupation were assigned a three-digit occupation code using the occupational classification system used for the 1980 Census of Population and Housing [
New-onset respiratory symptoms considered in this analysis include chronic cough, chronic phlegm, and wheezing. Chronic cough was assessed using responses to a question about cough ("Do you usually cough as much as four to six times a day, four or more days out of the week?"). Chronic phlegm was assessed using a question that referred to bringing up phlegm ("Do you usually bring up phlegm as much as twice a day, four or more days out of the week?"). Wheezing was evaluated using response to a question about wheezing symptoms ("Does your chest ever sound wheezy or whistling apart from [when you have a cold]?"). Each of these survey questions used to evaluate new-onset chronic cough, chronic phlegm, and wheezing were identical in wording to the questionnaire items included at visit 1.
The spirometry methods used in the ARIC study are described in detail elsewhere [
Our analyses include age, height, race, and sex. Age was categorized into quartiles of the age distribution of our final study population at visit 1 (45-49, 50-54, 55-59, and 60-64). We used information collected at visit 2 to categorize each participant as a current smoker, former smoker with three or less years since last cigarette, former smoker with more than three years since last cigarette, or lifetime non-smoker. The categorization of former smokers as having smoked within the last three years was designed to identify individuals who had smoked since the visit 1 exam. Among current smokers, cigarette use was reported as the number of cigarettes smoked per day, on average; for current smokers who reported smoking less than one cigarette per day, former smokers, and lifetime non-smokers, the number of cigarettes smoked per day was set to zero.
We evaluated the associations between occupational categories and the risk of chronic cough, chronic phlegm, and wheezing in separate models using Poisson regression, specified with a log link and robust error variance estimation. For each of the four outcomes, associations were examined using a single model in which the incidence of the outcome was generated in all occupational categories, relative to that in the referent category. The referent occupational category was comprised of individuals who reported managerial occupations or administrative support occupations, including clerical jobs. All models were adjusted for age, number of cigarettes per day, race, sex, smoking status, and study center. Associations are presented as relative risks (RRs) with 95% CIs, indicating the risk of new-onset symptoms among individuals in each occupational category to that of respondents in the referent category.
Associations between occupational categories and mean annual changes in FEV1 and FVC were evaluated using linear regression models, adjusted for age (as a continuous variable), age squared, height, height squared, number of cigarettes per day, race, smoking status, and study center. For each lung function measure, sex-specific effect estimates were each generated using a single model and are presented as differences in the lung function metric for each occupational groups compared to those values in the referent category. The estimates shown are changes in FEV1 and FVC in mL, with 95% CIs. Adjusted changes that are smaller in magnitude than those observed in the referent category are indicated by negative signs. All analyses were conducted using SAS version 9.2 (SAS Institute Inc., Cary, North Carolina, USA).
Twenty-eight percent (28%, N = 3,763) of participants eligible for inclusion in our analysis were excluded due to the presence of respiratory health symptoms or conditions at ARIC visit 1 (Table
Characteristics of the final study population and participants excluded due to pre-existing respiratory symptoms or conditions: the ARIC study
| Excluded participants1 (N = 3,763) | Final study population (N = 8,967) | ||
|---|---|---|---|
| No. (%) | No. (%) | ||
| Age, in years | |||
| 45-49 | 921 (24.5) | 2,475 (27.6) | |
| 50-54 | 937 (24.9) | 2,424 (27.0) | |
| 55-59 | 954 (25.4) | 2,167 (24.2) | |
| 60-65 | 951 (25.3) | 1,901 (21.2) | |
| | |||
| Race | |||
| Black | 742 (19.7) | 2,089 (23.3) | |
| White | 3,021 (80.3) | 6,878 (76.7) | |
| | |||
| Sex | |||
| Female | 1,930 (51.3) | 5,018 (56.0) | |
| Male | 1,833 (48.7) | 3,949 (44.0) | |
| | |||
| Smoking status | |||
| Current smoker | 1,479 (39.3) | 1,460 (16.3) | |
| No. cigarettes per day, on average Mean ± SD | 21.0 ± 12.5 | 15.3 ± 10.3 | |
| Median | 20.0 | 15.0 | |
| Minimum-Maximum | < 1 - 80 | < 1 - 80 | |
| Wilcoxon-Mann-Whitney test | |||
| Former smoker, ≤ 3 years since last cigarette | 259 (6.9) | 354 (3.9) | |
| Former smoker, > 3 years since last cigarette | 1,071 (28.5) | 3,253 (36.3) | |
| Lifetime non-smoker | 954 (25.4) | 3,900 (43.5) | |
| | |||
1 Excluded due to self-reported respiratory health symptoms or conditions (n = 3,289) or airway obstruction (n = 474) at visit 1
Associations between occupation and the three-year incidence of chronic cough, chronic phlegm, wheezing, and airway obstruction
| 8,967 | 317 (3.5) | 304 (3.4) | 301 (3.4) | 196 (2.2) | |||||
| 2,474 | 70 (2.8) | 1.00 (referent) | 62 (2.5) | 1.00 (referent) | 74 (3.0) | 1.00 (referent) | 52 (2.1) | 1.00 (referent) | |
| 1,407 | 29 (2.1) | 0.73 (0.48, 1.13) | 28 (2.0) | 0.80 (0.51, 1.26) | 36 (2.6) | 0.93 (0.63, 1.38) | 23 (1.6) | 0.99 (0.61, 1.61) | |
| 1,035 | 25 (2.4) | 0.88 (0.56, 1.38) | 18 (1.7) | 0.68 (0.41, 1.15) | 31 (3.0) | 1.01 (0.67, 1.53) | 22 (2.1) | 1.04 (0.64, 1.68) | |
| Private household occupations | 417 | 22 (5.3) | 1.45 (0.89, 2.37) | 20 (4.8) | 1.79 (1.07, 3.01) | 14 (3.4) | 1.29 (0.72, 2.33) | 9 (2.2) | 1.24 (0.59, 2.60) |
| Protective service | 90 | 2 (2.2) | 0.87 (0.22, 3.50) | 3 (3.3) | 1.31 (0.42, 4.11) | 3 (3.3) | 1.13 (0.37, 3.43) | 3 (3.3) | 1.64 (0.53, 5.02) |
| Food preparation and service | 226 | 7 (3.1) | 0.85 (0.39, 1.87) | 9 (4.0) | 1.56 (0.78, 3.13) | 13 (5.8) | 1.88 (1.03, 3.41) | 4 (1.8) | 0.95 (0.34, 2.62) |
| Health service | 202 | 9 (4.5) | 1.23 (0.61, 2.50) | 13 (6.4) | 2.58 (1.43, 4.68) | 7 (3.5) | 1.17 (0.54, 2.53) | 4 (2.0) | 1.23 (0.45, 3.35) |
| Cleaning and building service | 188 | 12 (6.4) | 1.85 (1.01, 3.37) | 13 (6.9) | 2.28 (1.27, 4.08) | 9 (4.8) | 1.68 (0.85, 3.32) | 1 (0.5) | 0.33 (0.05, 2.42) |
| Other service occupations | 164 | 6 (3.7) | 1.16 (0.51, 2.67) | 10 (6.1) | 2.59 (1.35, 4.95) | 7 (4.3) | 1.50 (0.70, 3.22) | 4 (2.4) | 1.55 (0.56, 4.30) |
| 94 | 5 (5.3) | 1.85 (0.76, 4.49) | 2 (2.1) | 0.76 (0.19, 3.11) | 4 (4.3) | 1.32 (0.49, 3.56) | 3 (3.2) | 1.51 (0.49, 4.69) | |
| Mechanics and repairers | 250 | 14 (5.6) | 1.81 (1.02, 3.21) | 17 (6.8) | 2.10 (1.23, 3.57) | 7 (2.8) | 0.81 (0.37, 1.77) | 8 (3.2) | 1.26 (0.59, 2.66) |
| Construction and extractive trades | 282 | 13 (4.6) | 1.62 (0.90, 2.91) | 15 (5.3) | 1.70 (0.97, 2.97) | 9 (3.2) | 1.02 (0.52, 2.03) | 8 (2.8) | 1.33 (0.63, 2.80) |
| Other precision occupations | 297 | 15 (5.1) | 1.55 (0.91, 2.66) | 17 (5.7) | 1.89 (1.13, 3.16) | 13 (4.4) | 1.26 (0.70, 2.30) | 7 (2.4) | 0.93 (0.44, 1.99) |
| Textile, apparel, furnishing machine operators | 93 | 7 (7.5) | 2.62 (1.20, 5.72) | 7 (7.5) | 3.72 (1.75, 7.91) | 3 (3.2) | 1.07 (0.34, 3.40) | 1 (1.1) | 0.68 (0.10, 4.79) |
| Machine operators, assorted materials | 192 | 10 (5.2) | 1.66 (0.88, 3.14) | 9 (4.7) | 1.71 (0.87, 3.36) | 7 (3.6) | 1.13 (0.53, 2.38) | 8 (4.2) | 2.02 (0.96, 4.23) |
| Hand working occupations | 93 | 3 (3.2) | 1.09 (0.35, 3.39) | 6 (6.5) | 2.63 (1.16, 6.00) | 2 (2.2) | 0.72 (0.18, 2.85) | 3 (3.2) | 1.68 (0.52, 5.39) |
| Motor vehicle operation | 221 | 14 (6.3) | 1.91 (1.07, 3.41) | 12 (5.4) | 1.61 (0.87, 2.97) | 11 (5.0) | 1.45 (0.76, 2.74) | 8 (3.6) | 1.53 (0.72, 3.27) |
| Transportation, excl. motor vehicle | 83 | 4 (4.8) | 1.63 (0.61, 4.35) | 3 (3.6) | 1.10 (0.35, 3.43) | 4 (4.8) | 1.42 (0.52, 3.83) | 4 (4.8) | 1.89 (0.70, 5.14) |
| Handlers, equipment cleaners, helpers, laborers | 171 | 8 (4.7) | 1.46 (0.71, 3.00) | 9 (5.3) | 1.89 (0.95, 3.73) | 9 (5.3) | 1.70 (0.86, 3.34) | 6 (3.5) | 1.69 (0.75, 3.85) |
| Other machine operating occupations | 164 | 8 (4.9) | 1.62 (0.80, 3.27) | 9 (5.5) | 1.95 (0.97, 3.94) | 6 (3.7) | 1.14 (0.50, 2.57) | 2 (1.2) | 0.58 (0.14, 2.32) |
| 824 | 34 (4.1) | 1.51 (0.99, 2.31) | 22 (2.7) | 1.57 (0.94, 2.60) | 32 (3.9) | 1.26 (0.81, 1.94) | 16 (1.9) | 1.06 (0.59, 1.88) | |
1 Adjusted for age, number of cigarettes per day, race, sex, smoking status, and study center
Table
Associations between occupation and adjusted mean annual change in FEV1 and FVC
| 1,082 (27.4) | 0.00 (referent) | 0.00 (referent) | 1,392 (27.7) | 0.00 (referent) | 0.00 (referent) | |
| 633 (16.0) | -2.66 (-9.33, 4.01) | 1.69 (-6.88, 10.25) | 774 (15.4) | 0.64 (-3.82, 5.09) | -1.68 (-7.78, 4.41) | |
| 577 (14.6) | -1.50 (-8.36, 5.37) | -1.69 (-10.51, 7.12) | 458 (9.1) | -0.86 (-6.11, 4.40) | -7.08 (-14.26, 0.11) | |
| Private household occupations | 2 (0.1) | -14.80 (-108.99, 79.39) | -45.21 (-166.1, 75.68) | 415 (8.3) | -2.67 (-8.31, 2.98) | -2.92 (-10.64, 4.80) |
| Protective service | 68 (1.7) | 7.02 (-9.71, 23.74) | 16.29 (-5.18, 37.76) | 22 (0.4) | 18.32 (-2.60, 39.24) | 9.8 (-18.83, 38.43) |
| Food preparation and service | 23 (0.6) | -25.04 (-53.39, 3.31) | -37.99 (-74.37, -1.60) | 203 (4.1) | 1.08 (-6.36, 8.53) | -1.39 (-11.58, 8.80) |
| Health service | 13 (0.3) | -16.61 (-53.99, 20.77) | -11.24 (-59.22, 36.74) | 189 (3.8) | 1.37 (-6.35, 9.09) | -0.79 (-11.35, 9.77) |
| Cleaning and building service | 89 (2.3) | 14.43 (-0.51, 29.36) | 22.96 (3.79, 42.12) | 99 (2.0) | 4.34 (-5.94, 14.61) | 8.33 (-5.74, 22.39) |
| Other service occupations | 27 (0.7) | 16.64 (-9.39, 42.68) | 12.39 (-21.03, 45.80) | 137 (2.7) | 0.04 (-8.71, 8.80) | 1.44 (-10.54, 13.42) |
| 79 (2.0) | 8.54 (-7.14, 24.23) | -0.34 (-20.47, 19.79) | 15 (0.3) | 16.35 (-8.91, 41.61) | 15.65 (-18.92, 50.22) | |
| Mechanics and repairers | 238 (6.0) | -2.11 (-11.68, 7.47) | 1.61 (-10.69, 13.90) | 12 (0.2) | -2.72 (-30.95, 25.52) | 8.44 (-30.21, 47.08) |
| Construction and extractive trades | 275 (7.0) | 0.62 (-8.43, 9.66) | -3.41 (-15.02, 8.20) | 7 (0.1) | 23.08 (-13.82, 59.99) | -20.08 (-70.59, 30.42) |
| Other precision occupations | 219 (5.6) | -7.16 (-17.06, 2.74) | -4.69 (-17.39, 8.02) | 78 (1.6) | 4.71 (-6.63, 16.06) | 12.15 (-3.37, 27.68) |
| Textile, apparel, furnishing machine operators | 8 (0.2) | -25.17 (-72.50, 22.17) | -75.31 (-136.06, -14.55) | 85 (1.7) | 5.37 (-5.58, 16.32) | 0.08 (-14.91, 15.06) |
| Machine operators, assorted materials | 101 (2.6) | 6.73 (-7.28, 20.75) | 8.76 (-9.23, 26.75) | 91 (1.8) | -9.47 (-20.05, 1.10) | -8.70 (-23.18, 5.77) |
| Hand working occupations | 41 (1.0) | -22.38 (-43.58, -1.18) | -26.11 (-53.32, 1.10) | 52 (1.0) | -3.92 (-17.67, 9.83) | -9.78 (-28.60, 9.05) |
| Motor vehicle operation | 196 (5.0) | -1.40 (-11.88, 9.08) | -6.14 (-19.59, 7.32) | 25 (0.5) | 4.98 (-14.72, 24.68) | -0.17 (-27.13, 26.79) |
| Transportation, excl. motor vehicle | 78 (2.0) | -2.66 (-18.33, 13.00) | 3.11 (-17.00, 23.21) | 5 (0.1) | 18.38 (-25.38, 62.13) | 13.78 (-46.11, 73.67) |
| Handlers, equipment cleaners, helpers, laborers | 109 (2.8) | -3.19 (-16.7, 10.32) | -1.18 (-18.52, 16.16) | 62 (1.2) | -5.93 (-18.56, 6.70) | -2.10 (-19.39, 15.19) |
| Other machine operating occupations | 85 (2.2) | 4.22 (-10.86, 19.30) | 7.8 (-11.56, 27.16) | 79 (1.6) | -1.43 (-12.75, 9.89) | -12.44 (-27.93, 3.05) |
| 6 (0.2) | -25.84 (-80.58, 28.90) | 28.89 (-41.37, 99.16) | 818 (16.3) | 0.08 (-4.43, 4.59) | 0.71 (-5.47, 6.88) | |
1Mean change (with 95% CI) per year, adjusted for age, age squared, height, height squared, number of cigarettes per day, race, smoking status, and study center
Our study evaluated the cumulative incidence of respiratory symptoms and average annual changes in FEV1 and FVC over an approximately three-year follow-up period between the baseline ARIC study examination (1987-1989) and the first follow-up (1990-1992). We observed elevated risk of new-onset respiratory symptoms among ARIC study participants who reported working in specific occupations, including mechanic and repair occupations and cleaning and building services. These results extend previous findings of elevated prevalences of asthma, chronic bronchitis, and chronic cough among ARIC study participants employed in precision production and service occupations [
Previous research into the incidence of asthma in a general population-based sample has suggested that workplace exposures cause more than 10% of all adult-onset asthma [
Despite the elevated risks of new-onset respiratory symptoms in these populations, we did not observe statistically significant elevations in the risk of airway obstruction or lung function decline.
The limitations of using these data to evaluate associations between occupation and respiratory health have been described previously [
In the ARIC study, occupations were categorized at visit 1 and risks identified here are attributed to these occupations without additional information about length of employment, job tasks, use of respiratory protection, or changes in employment during the follow-up period. Without information about these and other potentially important occupational factors, our classification of participants based on their self-reported occupation undoubtedly compounds misclassification of participants' occupations with exposure variations within each category. Our categorization of occupations also does not account for specific occupational exposures among individuals working in each occupation. In large population-based cohorts studies in which individual exposure assessment is not feasible, job exposure matrices (JEMs) have been used to assign specific asthmagenic exposures to individual occupations [
Men and women in specific occupations may be at risk of developing work-related respiratory disease. The long-term respiratory health consequences of inhalation exposures among mechanics, repairers, cleaners and janitors, building service professionals, and other workers remain largely unexplored.
95% CI: 95 percent confidence interval; ARIC: Atherosclerosis Risk in Communities Study; FEV1: Forced expiration in one second; FVC: Forced vital capacity; LLN: Lower limit of normal; RR: Risk ratio; SD: Standard deviation
The authors declare that they have no competing interests.
MCM participated in the conception and design of the analysis, performed the statistical analysis, interpreted the data, and drafted the manuscript. SJL, LEC, and LAP participated in the design of the analysis, interpreted the data, and critically reviewed drafts of the manuscript. LEW participated in the conception and design of the analysis, interpreted the data, and critically reviewed drafts of the manuscript. All authors read and approved the final manuscript.
The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C). Dr. London is supported by the Division of Intramural Research, National Institute of Environmental Health Sciences.
The authors thank the staff and participants of the ARIC study for their important contributions.