Lifetime Occupational Exposure to Dusts, Gases and Fumes Is Associated with Bronchitis Symptoms and Higher Diffusion Capacity in COPD Patients

Abstract

Background

Occupational exposure to dusts, gases and fumes has been associated with reduced FEV₁ and sputum production in COPD patients. The effect of occupational exposure on other characteristics of COPD, especially those reflecting emphysema, has not been studied in these patients.

Methods

We studied 338 patients hospitalized for a first exacerbation of COPD in 9 Spanish hospitals, obtaining full occupational history in a face-to-face interview; job codes were linked to a job exposure matrix for semi-quantitative estimation of exposure to mineral/biological dust, and gases/fumes for each job held. Patients underwent spirometry, diffusing capacity testing and analysis of gases in stable conditions. Quality of life, dyspnea and chronic bronchitis symptoms were determined with a questionnaire interview. A high- resolution CT scan was available in 133 patients.

Results

94% of the patients included were men, with a mean age of 68(8.5) years and a mean FEV₁% predicted 52 (16). High exposure to gases or fumes was associated with chronic bronchitis, and exposure to mineral dust and gases/fumes was associated with higher scores for symptom perception in the St. George’s questionnaire. No occupational agent was associated with a lower FEV₁. High exposure to all occupational agents was associated with better lung diffusion capacity, in long-term quitters. In the subgroup with CT data, patients with emphysema had 18% lower D_LCO compared to those without emphysema.

Conclusions

In our cohort of COPD patients, high exposure to gases or fumes was associated with chronic bronchitis, and high exposure to all occupational agents was consistently associated with better diffusion capacity in long-term quitters.

Introduction

Chronic obstructive pulmonary disease (COPD) is a leading cause of death, particularly in developing countries [1] and is characterized by abnormal inflammatory response of the lungs to noxious particles and gases. Although smoking is the most important risk factor, other factors, including occupational exposure, may play a role in the etiology of COPD [2].

According to current estimates, COPD may be attributed to occupational exposure in approximately 20% of smokers and 30% of nonsmokers [3], [4]. A temporal relationship has been established in prospective cohort studies, and an exposure-response gradient has been demonstrated [3], [4].

The effect of occupational exposure on the development or the characteristics of COPD has also been studied in several cohorts. A variable degree of lung obstruction has been associated with occupational exposure in patients with and without alpha-1-antitrypsin deficiency [5]–[7]. In a more recent longitudinal study, a decline in FEV₁ over time has been described in early stages of the disease [8] in association with fume exposure, while a cross-sectional study has shown COPD severity to be associated with mineral dust exposure [7]. In several of these studies, occupational exposure was also associated with symptoms of bronchitis [5], [7].

Altogether these findings suggest that the FEV₁ decline associated with occupational exposure is likely caused by airway disease. However, the possibility of occupational irritants being a risk factor of emphysema has not previously been explored. Silica and coal exposure was formerly linked with emphysema in experimental studies and workforce cohorts of miners, including autopsy studies [9]–[11]. Lifetime occupational exposure occurring during the jobs most commonly done by COPD patients includes inhalation of mineral and biological dusts and gases/fumes, but the likelihood of these groups of agents producing emphysema has not been analyzed.

We studied a multicenter cohort of COPD patients recruited at their first hospital admission (PAC-EPOC Study) in order to test the hypothesis that occupational exposure to dusts, gases and fumes may be associated with worse lung function, measured by spirometry and diffusion capacity variables.

Methods

Ethics Statement

The study protocol was approved by the Ethics Committees of the participating hospitals and participants provided written informed consent. Ethics Committee CEIC-IMAS num. 2002/1346/I.

Study Design and Population

This is a cross-sectional analysis evaluating the influence of lifetime occupational exposure on the characteristics of COPD in 338 patients from the PAC-COPD study cohort. The aims and methods of PAC-COPD have been described elsewhere [12]. Briefly, it is a longitudinal multicenter study including 342 patients enrolled during their first hospitalization for a COPD exacerbation in 9 Spanish teaching hospitals from January 2004 to March 2006.

Clinical, Radiological and Lung Functional Variables

At recruitment (first hospitalization for a COPD exacerbation) all patients answered a questionnaire including information on socio-demographic and lifestyle factors, providing their complete occupational history. Clinical, functional characterization and high-resolution CT (HRCT) were performed 3 months after enrollment or later under stable conditions. Detailed information on the methods applied and their standardization has been described elsewhere [13]. An interviewer-led questionnaire from the European Community Respiratory Health Survey included a variety of host and lifestyle factors as well as respiratory symptoms [14]. Chronic bronchitis was defined as regular cough with phlegm at least 3 months a year. Dyspnea was assessed using the Modified Medical Research Council (mMRC) scale [15]. Health status was measured with the validated Spanish version of the St. George’s Respiratory Questionnaire [16].

Forced spirometry and bronchodilator testing, determination of carbon monoxide diffusing capacity (D_LCO) and gases analysis were performed according to national guidelines [17], [18]. High-resolution CT (HRCT) was available for analysis in a subsample of 133 patients.

The HRCT were read independently by two trained readers. Emphysema was defined as sharply delineated low-density areas subdivided into acinar, panlobular or subpleural in both lungs. Emphysema was expressed as a dichotomous variable (presence or absence). Detection of emphysema in any lobe was considered as the presence of emphysema. Using post-bronchodilator spirometry values, COPD severity was classified according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines [19].

Occupational Exposure Assessment

Information on lifetime occupational history was obtained using a structured interviewer-led questionnaire. The job title, type of industry, a description of work tasks, and starting and ending years were recorded for all jobs held for at least 3 consecutive months and more than 8 hours per week. Jobs were coded using the International Standard Classification of Occupations 1988 (ISCO-88) system [20] and the codes were linked to a general population job exposure matrix [21], [22], with which each individual job was classified into none, low, or high exposure to biological dust, mineral dust, and gases/fumes. Cumulative lifetime exposure to each of the 3 agents was determined using the total number of years the individual had worked in jobs with high exposure.

Data Analysis

For each of the 3 types of exposure (biological dust, mineral dust, and gases/fumes), patients were classified into 3 categories (none, low, or high exposure) according to their cumulative lifetime exposure. In all the analyses, the reference category consisted of patients who had never worked in a high-exposure job thereby including all those with a history of working in jobs involving no exposure or low exposure to the agents under study. Patients who had sometime worked in a high-exposure job were further subdivided according to the number of years of high exposure, using the median years of exposure to each agent as the cut-off point. Associations between cumulative exposure categories and COPD characteristics were evaluated using multivariate logistic regression and linear regression analyses for dichotomous and continuous variables, respectively. All models were adjusted for sex, age, squared age,weight, current smoking status and pack-years smoked, whereas models for the absolute spirometry parameters, FEV₁ and FVC, were additionally adjusted for standing height. To test for potential effect modification, final models were stratified according to the presence of chronic bronchitis, dyspnea (MRC <3/≥3) and GOLD stages (I–II and III–IV). For sensitivity analysis; we repeated all the analyses: (i) excluding subjects who were active workers at recruitment, and (ii) stratifying subjects according to smoking status (current, short-term (<10 y) quitters and long-term (>10 y) quitters). Analyses were carried out using Stata SE 10.0 (Stata Corporation, College Station, TX, USA).

Results

Most participants were men older than 68 years with a low educational level and occupationally inactive at recruitment (Table 1). Almost half were current smokers, and only 2 patients had never smoked. There was a wide range of severity, symptoms, impairment of quality of life, and clinical and functional characteristics of COPD. Almost half of the patients had an FEV₁ below 50% of the predicted value. Only 8% did not have dyspnea, and 15% had dyspnea at rest.

Table 1. Clinical and functional characteristics of COPD patients at first hospital admission (Spain, 2004–2006).

Number of Patients		338
Age, years; mean (SD)		68 (8.5)
Women		21 (6%)
More than primary education		48 (14%)
Currently occupationally active		61 (18%)
Smoking Status	Never smoker or long-term quitters (>10y)	92 (27%)
	Short-term quitters (≤10y)	103 (30%)
	Current smoker	143 (42%)
	Pack-years: mean (SD)	66 (41)
mMRC Dyspnea Scale (n = 334)	Grades 0, 1 or 2 (none to moderate)	182 (54%)
	Grades 3, or 4 (severe to very severe)	152 (46%)
Chronic bronchitis symptoms*		105 (31%)
Post-bronchodilator lung function; mean (SD)	FEV1, L/s	1.56 (0.55)
	FEV1, % predicted	52 (16)
	FVC, L	2.92 (0.73)
	FVC, % predicted	73 (16)
	FEV1/FVC, %	53 (12)
GOLD Stage	I (Mild COPD)	19 (6%)
	II (Moderate COPD)	161 (48%)
	II (Severe COPD)	131 (39%)
	IV (Very severe COPD)	27 (8%)
DLCO, % predicted; mean (SD) DLCO/VA, % predicted; mean (SD)		65 (21) 70 (20)
pO2 (mmHg), m(SE) PaCO2 (mmHg), m(SE)		74 (10) 41 (5.3)
Number of patients with Emphysema by HRCT(n = 133)		100 (75%)
St. George’s Respiratory Questionnaire: mean (SD)†	Symptom score	49 (18)
	Activity score	47 (25)
	Impact score	26 (19)
	Total score	37 (18)

Abbreviation: mMRC, Modified Medical Research Council; Number (%) is given, unless otherwise indicated.

*Chronic cough with phlegm;

^†Scores range from 0 (no health impairment) to 100 (maximum impairment).

Description of Occupational Exposure

A total of 948 occupations were reported. Among all participants, 67% had worked in a job involving high exposure to biological dust, mineral dust, and/or gases/fumes (Table 2). A history of high exposure to biological dust was found in 24%, among whom there was a predominance of agricultural workers, freight handlers, carpenters, and bakers. A history of high mineral dust exposure was seen in 40%, with the most prevalent occupations being agricultural workers, construction workers, freight handlers, and mechanics. High exposure to gases/fumes was observed in 42%, with a variety of occupations, including drivers, mechanics, painters, shoemakers, metal workers, welders, and machine operators. Regarding overlap between the different exposures, pairwise agreement between the different categories of exposure ranged from 54% to 61%. Patients with a history of high exposure to gases/fumes were less likely to be women, and those with high biological dust exposure were more likely to be older. Patients with high exposure to dusts or gases/fumes were 2 years older on average and were more often men than patients with lower exposures (Table 2). There were no large differences in smoking habits between exposure categories, except for patients in the highest mineral dust exposure category, who were less likely to be active smokers.

Table 2. Classification and descriptive statistics of cumulative lifetime occupational exposure (N = 338).

Occupational exposure		Number	Women	Meanage, y	Current smokers	Mean pack-years
Biological dust *	Never high exposure	249†	19 (7%)	67	106 (43%)	66
	High exposure ≤13 years	41	2 (5%)	68	17 (41%)	66
	High exposure >13 years	39	0 (0%)	71	19 (49%)	65
	P value		0.20	0.01	0.75	0.85
Mineral dust ‡	Never high exposure	190§	17 (9%)	67	92 (48%)	69
	High exposure ≤15 years	64	3 (5%)	69	28 (44%)	65
	High exposure >15 years	63	1 (2%)	69	17 (27%)	61
	P value		0.11	0.14	0.01	0.18
Gases or fumes #	Never high exposure	185¶	17 (9%)	67	81 (44%)	65
	High exposure ≤ 24.5 years	67	4 (6%)	67	31 (46%)	60
	High exposure >24.5 years	67	0 (0%)	68	28 (42%)	72
	P value		0.02	0.62	0.87	0.61
Dusts, gases or fumes	Never high exposure	110	13 (12%)	66	52 (47%)	68
	Sometime high exposure	228	8 (4%)	68	91 (40%)	65
	P value		<0.01	0.03	0.20	0.47

*Not including 9 participants with sometime high exposure of unknown duration;

^†Including 137 with no exposure and 112 with sometime low exposure;

^‡Not including 21 participants with sometime high exposure of unknown duration;

^§Including 71 with no exposure and 119 with sometime low exposure;

^#Not including 19 participants with sometime high exposure of unknown duration;

^¶Including 39 with no exposure and 146 with sometime low exposure.

Relationship between Occupational Exposure and COPD Outcomes

Chronic bronchitis symptoms tended to be more common and the St. George’s questionnaire symptoms score was greater among individuals with high exposure to mineral dust and gases/fumes, although the associations did not reach statistical significance for all comparisons (Table 3). Dyspnea was not associated with occupational exposure. Occupational exposure was not associated with airway obstruction according to spirometry variables. A consistently higher D_LCO value was associated with high exposure to mineral dust, and/or gases/fumes. Similar findings were obtained on analyzing the corrected diffusion capacity as KCO (D_LCO/V_A). High occupational exposures tended to be associated with higher oxygen partial pressure (PO2), but statistical significance was only observed for biological dust.

Table 3. Associations between cumulative lifetime occupational exposure and clinical and functional outcome.

	High exposure to biological dust		P trend	High exposure to mineral dust		P trend	High exposure to gases or fumes		P trend
	≤13 years	>13 years		≤15 years	>15 years		≤24.5 years	>24.5 years
	OR (95% CI)	OR (95% CI)		OR (95% CI)	OR (95% CI)		OR (95% CI)	OR (95% CI)
MMRC dyspnea scale 3 or 4 *	0.7 (0.3,1.6)	1.1 (0.5,2.5)	0.966	0.9 (0.4,1.7)	0.9 (0.5,1.7)	0.676	1.2 (0.6,2.2)	0.8 (0.4,1.5)	0.525
Chronic bronchitis symptoms	1.8 (0.8,4.1)	1.3 (0.5,3.3)	0.405	3.0 (1.5,6.1)	1.3 (0.6,2.9)	0.255	1.7 (0.9,3.4)	1.9 (0.9,3.8)	0.058
GOLD stage III or IV †	0.6 (0.3,1.3)	0.4 (0.2,1.0)	0.029	0.6 (0.3,1.2)	1.1 (0.6,2.2)	0.908	0.6 (0.3,1.1)	1.1 (0.6,2.1)	0.921
	Coefficient (95% CI)	Coefficient (95% CI)		Coefficient (95% CI)	Coefficient (95% CI)		Coefficient (95% CI)	Coefficient (95% CI)
Post-bronchodilator FEV1, L/s	0.01 (−0.16,0.17)	0.11 (−0.07,0.29)	0.268	0.04 (−0.10,0.19)	0.00 (−0.15,0.15)	0.938	0.07 (−0.07,0.21)	−0.05 (−0.19,0.10)	0.651
Post-bronchodilator FVC, L	−0.11 (−0.34,0.12)	0.02 (−0.23,0.27)	0.880	0.05 (−0.15,0.26)	−0.07 (−0.28,0.14)	0.600	0.01 (−0.19,0.21)	−0.11 (−0.31,0.10)	0.336
DLCO,% predicted DLCO/VA % predicted	7.8 (0.5,15.1) 6.4 (−0.9,13.7)	5.6 (−2.2,13.4) 5.3 (−2.4,13.1)	0.068 0.094	8.6 (2.3,14.9) 7.1 (0.6,13.6)	8.2 (1.8,14.7) 8.3 (1.6,15.0)	0.007 0.010	5.0 (−1.3,11.3) 4.4 (−2.2,10.9)	8.3 (2.1,14.5) 6.7 (0.3,13.0)	0.008 0.036
PaO2 (mmHg)	0.3 (−3.8,4.4)	5.9 (1.5,10.3)	0.017	0.2 (−3.1,3.5)	2.9 (−0.6,6.3)	0.123	2.5 (−0.7,5.8)	1.4 (−1.9,4.7)	0.328
PaCO2 (mmHg)	1.3 (−0.6,3.2)	−1.2 (−3.2,0.8)	0.527	0.3 (−1.4,1.9)	0.7 (−1.0,2.4)	0.423	−0.4 (−2.0,1.2)	0.5 (−1.2,2.1)	0.645
SGRQ Symptom score	2.7 (−3.3,8.8)	3.0 (−3.4,9.5)	0.285	7.0 (1.5,12.6)	5.1 (−0.6,10.8)	0.044	5.5 (0.3,10.7)	6.1 (0.8,11.4)	0.015
SGRQ Activity score	−5.4 (−14.2,3.4)	1.3 (−8.0,10.7)	0.928	−2.5 (−10.2,5.2)	−2.8 (−10.7,5.1)	0.453	−0.8 (−8.1,6.5)	−0.6 (−8.0,6.8)	0.863
SGRQ Impact score	0.8 (−5.6,7.3)	1.6 (−5.2,8.5)	0.626	0.2 (−5.6,6.1)	2.9 (−3.0,8.9)	0.360	1.3 (−4.1,6.8)	2.2 (−3.3,7.7)	0.411
SGRQ Total score	−0.7 (−6.8,5.5)	1.8 (−4.8,8.4)	0.671	0.6 (−5.0,6.2)	1.6 (−4.1,7.3)	0.581	1.5 (−3.7,6.6)	2.1 (−3.2,7.3)	0.417

Abbreviations: GOLD, Global Initiative for Chronic Obstructive Lung Disease; MMRC, Modified Medical Research Council; SGRQ, St George’s Respiratory Questionnaire.

Multivariate logistic or linear regression models, adjusted for sex, age, age 2, weight, smoking status, and pack-years smoked. Referral category for all comparisons includes participants with no history of high exposure to biological dust, mineral dust, or gases/fumes (n = 110; see Table 2).

* As compared to MMRC dyspnea scale 0, 1 or 2.

^†As compared to GOLD Stage.

After stratification by smoking status, there was a consistent positive association among long-term quitters between high exposure to mineral dust, biological dusts and gases-fumes with a higher D_LCO. These associations were not observed among current smokers and recent quitters (Table 4). Associations did not change after stratification for chronic bronchitis, dyspnea and GOLD stage neither after excluding the 61 occupationally-active patients. The mentioned stratification and sensitivity analyses were carried out for the relationship between cumulative exposure categories and the rest of COPD variables and no differences were found.

Table 4. Associations between lifetime occupational exposures and DLCO, stratified according to smoking history.

Exposure Category		Former Smokers Long-term quitters>10 years (n = 93)		Formers Smokers Short-term quitters≤10 years (n = 104)		Current smokers (n = 145)
		Coefficient (95% CI)	P value	Coefficient (95% CI)	P value	Coefficient (95% CI)	P value
Lifetime high exposure to	Biological dust	18.0 (0.7, 35.4)	0.042	−5.1 (−23.5, 13.2)	0.576	2.2 (−8.5, 12.8)	0.687
	Mineral dust	22.2 (10.0, 34.4)	0.001	−3.5 (−16.1, 9.0)	0.573	4.0 (−7.12, 15.2)	0.476
	Gases or fumes	14.6 (−0.4, 29.6)	0.057	10.1 (−0.6, 20.8)	0.065	5.6 (−3.7, 14.9)	0.233

Linear regression models adjusted for sex, age, age2, weight and pack-years smoked. The reference category for all comparisons included participants with no history of high exposure to biological dust, mineral dust, or gases/fumes (n = 110; see Table 2).

In the subgroup analysis of 133 patients with lung CT data, those with emphysema (75% of total) had 18% lower DLCO compared to those without emphysema (p<0.001). Emphysema was less frequent in patients with high exposure, although these differences did not reach statistical significance.

Discussion

In this study, exposure to gases or fumes was significantly associated with chronic bronchitis, and exposure to mineral dust and gases/fumes was associated with a higher symptom score in the quality of life questionnaire. Occupational exposure was not associated with any spirometry variable, but a consistent association was found between exposure to mineral dust and gas or fumes and better diffusion capacity.

Exposure to gases/fumes was associated with chronic bronchitis. A large body of evidence from previous population-based and workforce-based studies supports the notion that occupational exposure increases the risk of developing bronchitis [23]–[29]. Experimental models have demonstrated that several inhaled agents, such as sulfur dioxide, vanadium, and endotoxin can induce chronic obstructive bronchitis [30]–[32]. The present study reinforces the hypothesis that exposure to airway irritants in the workplace increases bronchial mucus production in COPD patients.

Remarkably, we did not detect an association between occupational exposure and airway obstruction. Previous studies performed in general population and workforce-based cohorts clearly demonstrated an association between occupational exposures and moderate COPD as well as a decline in FEV1 among the occupationally-exposed [23]–[26], [33]. For instance, a 0.25% predicted reduction of FEV₁ per year of exposure to fumes but not to dust was shown in a cohort of 5724 relatively young (average 48 years) COPD patients followed during 5 years [8]. Data on the effect of occupational exposure on the severity of COPD are only available in a few cross-sectional studies. Among individuals with alpha-1 antitrypsin deficiency, the FEV₁ was lower in those highly exposed to mineral dust [5]. This difference was not observed in a more recent cohort of COPD patients, although exposure to mineral dust or other types of dust, gases, or fumes was associated with a FEV₁<30% [7]. The lack of relationship between occupational exposure and airway obstruction in our cohort could be due to the characteristics of the patients, including older patients with advanced COPD, thereby making differences difficult to find. The inclusion of subjects with low exposures in the reference category may have precluded the detection of significant associations between occupational exposures and spirometry variables. It would have been preferable to include only patients with no history of occupational exposures in this reference category, but unfortunately this subgroup of our cohort was too small to perform meaningful analyses.

The association of occupational exposures with a better lung diffusion capacity is an unexpected result of this study. The fact that only long-term quitters showed significant associations suggests that in the rest of the patients smoking, which is well known to impair D_LCO, could have counterbalanced the association between occupational exposures and better diffusion capacity. A decrease in D_LCO in COPD patients suggests the presence of emphysema [34], and our results confirm this relationship, since DLCO was associated with emphysema detected by HRCT. However, on analyzing the relationship between occupational exposure and emphysema in the subsample of 133 patients with available lung CT, we observed a trend towards a lower frequency of emphysema in highly-exposed patients, albeit without statistical significance.

In patients and experimental animals, only exposure to occupational agents such as endotoxin, coal, silica, and cadmium are possible causes of emphysema, (whereas this relationship has not been demonstrated for other inhaled agents [35]–[39]. Alternatively, small airway disease but not emphysema has been demonstrated in rats exposed to ozone, endotoxin, vanadium pentoxide and SO2 [30], [31], [40], [41]. In humans, cadmium fumes and coal and silica dust have been shown to produce emphysema in highly-exposed workers such as cadmium alloy manufacturers and miners, respectively [10], [37]. In miners, emphysema correlated with years worked and the dust content of the lungs [42]. It is important to remark that the exposures recorded in the present study are representative of the jobs commonly held by the general working population, which included 30% of bricklayers, 10% of service workers and 10% of white collar workers, among others. The mass concentration of respirable dust in these jobs is much lower than in a mine, thus explaining the lack of association with emphysema.

We cannot exclude a healthy worker effect biasing our results, meaning that patients less susceptible to developing emphysema due to tobacco smoke are those that remain in high-exposure jobs [43]. According to recommended strategies to minimize this bias [44], our cohort included both active and inactive individuals according to employment status, and the analysis did not show differences regarding the associations found. Moreover, a consistently increased D_LCO was associated with sometime high exposure, regardless of the duration, making a selection bias for the higher D_LCO levels recorded in exposed individuals improbable. Finally, high lifetime exposure is able to detect exposure even when some workers with health problems had left a high-exposure job. Hence, although the healthy worker effect should be taken into account, we do not think it represents a significant confounder of our results.

The impact of occupational exposure on quality of life has been investigated in only one study [45]. The authors concluded that the combination of exposure to vapors, gas, fumes or dust, and work disability were associated with poorer quality of life, measured with an adapted form of the St. George’s questionnaire. In the present study, we found an independent association between the Symptoms dimension of this questionnaire and exposure to mineral dust and gases/fumes.

Our study has several limitations. Assessment of occupational exposure is always a challenge for investigators. Even when JEMs (Job Exposure Matrix) are used, exposure can be misclassified because JEMs do not take into account the fact that exposure can differ within the same job or occupation [46]. Nevertheless, this would likely be a non-differential misclassification of exposure, which typically results in bias towards the null. The alternative and probably more widely applied method is the use of self-reported information. Although it is simpler to perform, there are misclassification concerns and a bias away from the null with this method, making JEMs preferable. Although data from women were not excluded from the analysis, they represented a small percentage of the cohort; thus the results are more representative of male COPD patients. Lastly, our results might have been influenced by the fact that the study’s design included patients recruited after his first COPD exacerbation. So, occupational exposures could have accelerated the rate of development of small airways disease relative to emphysema, thus favoring exacerbation and hospitalization. This potential shift of COPD exacerbated patients towards the “bronchitis phenotype” might explain the scarcity of emphysema in highly exposed patients compared to the low/unexposed group.

In conclusion, our data show that occupational exposure to airbone dusts, gases or fumes was consistently associated with more symptoms and chronic bronchitis and higher lung diffusion capacity. This suggests that occupational exposures produce bronchitis rather than emphysema in COPD patients. However, further case-control and prospective cohort studies are needed to confirm these results.

Funding Statement

The PAC-COPD Study is funded by grants from the Fondo de Investigación Sanitaria (FIS PI020541), Ministry of Health, Spain; Agència d’Avaluació de Tecnologia i Recerca Mèdiques (AATRM 035/20/02), Catalan Government; Spanish Society of Pulmonology and Thoracic Surgery (SEPAR 2002/137); Catalan Pulmonology Foundation (FUCAP 2003 Beca Marià Ravà); Red RESPIRA (RTIC C03/11); Red RCESP (RTIC C03/09); Fondo de Investigación Sanitaria (PI052486); Fondo de Investigación Sanitaria (PI052302); Fondo de Investigación Sanitaria (PI060684); Fundació La Marató de TV3 (num. 041110); and Novartis Farmacèutica, Spain. CIBERESP and CIBERES are funded by Instituto de Salud Carlos III, Ministry of Health, Spain. Judith Garcia-Aymerich has a researcher contract from Instituto de Salud Carlos III (CP05/00118), Ministry of Health, Spain. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.