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Chronic Obstructive Pulmonary Disease in Never-Smoking Dairy Farmers
Jordan Minov
Jovanka Karadzinska-Bislimovska
Dragan Mijakoski
Authors Info & Affiliations
Abstract
Introduction :
Work-related chronic obstructive pulmonary disease (COPD) represents a considerable part of the disease burden globally.
Objective :
To assess the COPD prevalence and characteristics in never-smoking dairy farmers.
Materials and Methodology :
We have conducted a cross-sectional study with 75 male dairy farmers aged 26 to 59 years, and compared them with equivalent number of male office workers similar by age, and duration of employment. Data on chronic respiratory symptoms, job history and daily activities were obtained by questionnaire. Lung functional testing of the examined subjects included baseline spirometry, and bronchodilator reversibility measurement.
Results :
Dairy farmers showed higher prevalence of overall respiratory symptoms, but significant difference was noticed for cough, phlegm, and dyspnea. Dairy farmers had more prevalent work-related respiratory symptoms, being significant for overall symptoms, cough, and phlegm. The mean baseline values of spirometric parameters were lower in dairy farmers, but significance was reported for FEV1/FVC%, MEF50, MEF75, and MEF25-75. Dairy farmers had significantly higher COPD prevalence than office controls (10.7% vs 2.7%, P = 0,049). Dairy farmers and office controls showed significant association between COPD and age over 45 years. Dairy farmers had a significant association between COPD and employment duration of over 20 years (P = 0.023), but also between COPD and work-related chronic respiratory symptoms (P = 0.041).
Conclusion :
The study findings favor the cause-effect association between job exposure to respiratory hazards, and development of persistent airway obstruction among dairy farmers.
INTRODUCTION
Farm work is already well familiar occupational hazard for the development of chronic respiratory symptoms and respiratory disorders. The most significant deal of dust, vapors, and gases exposure in farming occurs mainly in barns and animal confinement buildings [1]. Predominant part of this daily exposure is composed by dusts, bacteria, and moulds, but also by endotoxin and ammonia as substances that are often been measured and closely related to respiratory health [2, 3]. Apart of these components, animal derived material, with special emphasizes to dander, hair and skin can be also associated with an increased risk of respiratory diseases [4].
Respiratory disorders in dairy farmers are properly documented for the last few decades. Many studies performed so far in dairy farmers across Europe, but also in the United States have shown increased rates of chronic bronchitis (CB), hypersensitivity, occupational and work-related asthma, and organic dust toxic syndrome [5, 6]. Typical findings of chronic obstructive respiratory diseases have been reported by researchers, meaning presence of decreased flow rates, bronchial hyperresponsiveness (BHR), and increased wheezing, cough, and production of phlegm [7-10].
In their everyday work, farmers are exposed to a wide range of vapors, organic and inorganic dusts, fumes, and other chemical agents [11, 12]. Some of the recent studies [13-15] have associated these known hazardous exposures with the presence of respiratory symptoms in farmers, but however, most of them succeeded in detection and measurement of only a few agents.
The existing literature review in this domain confirms the present evidence that chronic obstructive pulmonary disease (COPD) due to occupational exposures has significantly increased during the last few decades, and became a major source of morbidity in lots of occupations, and conclusively a relevant public health problem [16-18].
A vast number of epidemiological studies performed so far demonstrated that tobacco smoke is undoubtedly the main cause of COPD, nevertheless results from certain studies point out that population attributable fraction for COPD related to workplace exposures to dusts, gases, vapors, and fumes may be 15-20% in overall population and can reach up to 30% in never smokers [19, 20].
Having this in mind, and despite the well known fact that cigarette smoking is the best studied COPD risk factor, recent research in the field indicates that it is not the only one, showing a consistent evidence from epidemiological studies that chronic airflow limitation may be also developed among non-smokers occupationally exposed to dusts, gases, vapors, and fumes [21, 22].
Some earlier study findings showed that workplace exposure to toxic gases, grain dust in farms, as well as dust and fumes in factories [23] was strongly associated with COPD. American Thoracic Society (ATS) in 2003 conducted a large epidemiological survey focused on workplace derived factors connected to COPD. The survey detected that 15% of COPD cases were related to occupational exposure [24], while a subsequent follow-up performed afterwards has proven similar estimates [25].
There is a large amount of data, showing that job exposures in farming might be related with the chronic airway disorders, being different from known bronchial changes in asthma.
Scientific research also made difference between development of respiratory symptoms and existence of chronic airways obstruction determined by spirometry measurement. In most cases, this chronic airflow limitation is due to bronchial obstruction and damage in the parenchyma fibers [26], and leads to chronic peripheral lung inflammation [27].
Dust from cereal grains and feed for animals, manure gases, vapors derived from disinfectants, and components of micro-organisms, such as endotoxins and fungi are the key agricultural exposures mentioned as probable promoters of the airway inflammation. This process further leads to chronic airway lung disorder, fibrosis and wall thickening, and finally to emphysema [28].
In this current research our objective was to explore the prevalence and characteristics of COPD in never-smoking dairy farmers.
MATERIALS AND METHODOLOGY
Design of the Study
Our team at the Institute for Occupational Health of R. Macedonia, Skopje - WHO Collaborating Center for Occupational Health and GA2LEN Collaborating Center conducted a cross-sectional survey within the Center for Respiratory Functional Diagnostics in the period October 2013 - June 2014. The main objective was to explore the frequency of chronic respiratory symptoms, mean values of measured spirometric parameters, and COPD prevalence among never-smoking male dairy farmers, and compare them with the appropriate variables in a group of never-smoking male office workers. The Institute’s ethics committee has approved the content of our study protocol, whereas each examined subject was informed and gave written consent before any involvement in the study.
Subjects
We have examined 52 male subjects, with age range 26 to 59 years involved as dairy farmers with employment duration of 5 to 40 years (mean duration 21.6 ± 5.3).
The examined subjects were employed as dairy farmers, working inside confinement buildings, and exposed to: dust, inappropriate microclimate conditions, chemical hazards, vapors, gases, heavy manual work, animal contact, unfavorable body positions, and repetitive hand movements. Their main occupational activities were: preparation of fodder feeding and animal meals, milking, staying in the barn, preparation of straw, and hay making, cattle rising, as well as taking care about milk hygiene and health of the animals.
Depending on the exposure duration, the study subjects were divided in two subgroups: exposed less or more than 20 years.
In terms of the study title, all examined dairy farmers were never smokers, either non-smokers, never smoked at all, or they were daily smokers before with less than 100 cigarettes smoked in their total lifetime [29].
In order to compare the obtained results, we have examined a similar group of 52 male office workers matched to dairy farmers by age and duration of employment as controls.
The subjects who were diagnosed by physician to have some chronic respiratory disorder (asthma, COPD, bronchiectasis, etc.), or treated with bronchodilators and/or corticosteroids were not included in the study. Both groups did not comprise any subjects in whom either spirometry or bronchodilator reversibility testing was contraindicated [30].
Questionnaire
The study subjects were interviewed by a physician, also responsible for completion of the study questionnaire. It comprised data about job history, chronic respiratory symptoms within the previous 12 months, and their work-relatedness.
The work history was assessed by data concerning the previous and current job engagement, working hours, daily activities, working conditions, and use of protective equipment.
The European Community for Coal and Steel questionnaire, and the European Community Respiratory Health Survey questionnaire [31, 32] were used to collect data about the chronic respiratory symptoms in the previous 12 months (cough, phlegm, dyspnea, wheezing, and chest tightness).
We have also evaluated data about chronic respiratory diseases diagnosed by physician, environmental exposure to tobacco smoke (ETS), family history of COPD and chronic bronchitis, medication use, and other accompanying diseases in the study subjects.
Chronic respiratory symptoms were defined as work-related if more than usual cough, phlegm, dyspnea, wheezing, and chest tightness were present during the daily work [33].
Exposure to tobacco combustion products caused by other people smoking (at home, workplace), i.e. as a presence of at least one smoker in the household and/or in the workplace [34, 35], was defined as ETS, also known as passive smoking. Furthermore, in order to fulfill some special study requirements, passive smokers were separated within two groups regarding the number of their daily hours of ETS exposure (less or more than four hours per day).
Baseline Spirometry
Measurements of forced vital capacity (FVC), forced expiratory volume in one second (FEV1), FEV1/FVC ratio, and maximal expiratory flow at 50%, 25%, and 25-75% of FVC (MEF50, MEF25, and MEF25-75, respectively), also known as the baseline spirometry, was recorded by the Ganshorn SanoScope LF8 (Ganshorn Medizin Electronic GmbH, Germany) spirometer. The best result out of three measurements the FEV1 values was recorded, being in the 5% range value. The spirometry results were given as percents of their predicted values due to the current European Respiratory Society (ERS) and ATS recommendations [30]. In order to derive the predicted values of spirometric parameters, we have used the combined reference equations for males aged 18 to 70 years, with a height range of 155-190 cm, given in the ERS statement [36].
Bronchodilator Reversibility Testing
Our team performed the bronchial reversibility testing following the actual GOLD spirometry guide [37]. According to this guide, spirometric measurements were performed before and 20 minutes after administration of 400 μg salbutamol by metered dose inhaler. COPD, characterized by a fixed airflow narrowing was defined if post-bronchodilator FEV1/FVC remained less than 0.70. The %FEV1 reversibility ([post-bronchodilator FEV1 - prebronchodilator FEV1] / pre-bronchodilator FEV1 x 100) determined the degree of FEV1 reversibility. In such cases, diagnosis of COPD was not negate if there was a significant FEV1 improvement (a change more than 12% and more than 200 mL compared to the baseline value) in the presence of fixed airflow limitation.
Diagnosis of COPD
The COPD diagnosis was established in accordance with the actual GOLD recommendations [38], i.e., COPD was determined by the presence of a post-bronchodilator FEV1/FVC less than 0.70, showing persistent airflow limitation in those subjects who have reported dyspnea, chronic cough or phlegm, and/or a exposure history to the disease risk factors (tobacco smoke, gas cooking, heating fuels smoke, and/or workplace dusts and chemical hazards).
Statistical Analysis
Data description and analysis were conducted using Statistica for Windows version 7 and Epi info 6. Mean values with their standard deviation were used for expressing the continuous variables, while variables of category were presented as numbers and percents. We have used the chi-square test (or Fisher’s exact test if recommended) in order to test differences in the frequency of chronic respiratory symptoms, whereas analysis and comparison of spirometric measurements in the study was done using independent-samples T-test. Statistically significant was reported a P-value of less than 0.05. Regression analyses were performed to explore the influence of age, body mass index (BMI), and ETS exposure on respiratory symptoms development.
RESULTS
Characteristics of the study subjects are presented in Table 1. They were alike in both groups (Table 1).
Demographic characteristics of the study subjects.
| Variable | Dairy Farmers (n = 52) | Office Workers (n = 52) |
|---|---|---|
| Mean age (years) | 49.4 ± 5.1 | 48.7 ± 4.9 |
| Age range (years) | 26 - 59 | 27 - 58 |
| Less than 45 years | 24 (46.2%) | 27 (51.9%) |
| More than 45 years | 28 (53.8%) | 25 (48.1%) |
| BMI (kg/m2) | 24.5 ± 3.9 | 25.1 ± 3.7 |
| Mean duration of employment (years) | 21.6 ± 5.3 | 20.2 ± 5.1 |
| Duration of employment less than 20 years | 25 (48.1%) | 28 (53.8%) |
| Duration of employment more than 20 years | 27 (51.9%) | 24 (46.2%) |
| Family history of COPD or CB | 6 (11.5%) | 3 (5.8%) |
| Environmental ETS | 20 (38.5%) | 18 (34.6%) |
| Exposed less than 4 hours | 13 (25%) | 10 (19.2%) |
| Exposed more than 4 hours | 7 (13.5%) | 8 (15.4%) |
| Accompanying diseases | ||
| Arterial hypertension | 8 (15.4%) | 10 (19.2%) |
| Diabetes mellitus type 2 | 3 (5.8%) | 4 (7.7%) |
| Peptic ulcer | 6 (11.5%) | 5 (9.6%) |
* Numerical data are expressed as mean value with standard deviation; frequencies as number and percentage of study subjects with certain variable.
BMI: body mass index; kg: kilogram; m: meter; COPD: chronic obstructive pulmonary disease; CB: chronic bronchitis; ETS: exposure to tobacco smoke.
Prevalence of respiratory symptoms in the last 12 months in examined groups.
| Respiratory Symptoms in the Last 12 Months | Dairy Farmers (n = 52) | Office Workers (n = 52) | P-Value* |
|---|---|---|---|
| Any respiratory symptom | 19 (36.5%) | 12 (23.1%) | 0.133 |
| Cough | 17 (32.7%) | 8 (15.4%) | 0.038 |
| Phlegm | 10 (19.2%) | 3 (5.8%) | 0.037 |
| Dyspnea | 8 (15.4%) | 2 (3.8%) | 0.045 |
| Wheezing | 6 (11.6%) | 4 (7.7%) | 0.505 |
| Chest tightness | 5 (9.6%) | 3 (5.8%) | 0.715 |
Data are expressed as number and percentage of study subjects with certain variable.
* Tested by chi-square test or Fisher’s exact test where appropriate.
Prevalence of work-related respiratory symptoms among dairy farmers and office workers.
| Respiratory Symptoms in the Last 12 Months | Dairy Farmers (n = 52) | Office Workers (n = 52) | P-Value* | OR (95% CI) |
|---|---|---|---|---|
| Any work-related respiratory symptoms | 16 (30.8%) | 7 (13.5%) | 0.034 | 2.86 (0.97-8.68) |
| Cough | 13 (25%) | 5 (9.6%) | 0.0381 | 3.13 (0.93-11.15) |
| Phlegm | 8 (15.4%) | 2 (3.8%) | 0.045 | 4.4.55 (0.82-32.87) |
| Dyspnea | 4 (7.7%)td> | 1 (1.9%) | 0.362 | 4.25 (0.42-103.53) |
| Wheezing | 3 (5.8%) | 2 (3.8%) | 0.646 | 1.53 (0.20-13.79) |
| Chest tightness | 3 (5.8%) | 1 (1.9%) | 0.617 | 3.3.12 (0.27-80.71) |
Data are expressed as number and percentage of study subjects with certain variable.
OR: odds ratio; CI: confidence interval.
* Tested using multivariate logistic regression adjusted for age, BMI and ETS exposure.
Mean baseline values of spirometric parameters in the examined subjects.
| Spirometric Parameter | Dairy Farmers (n = 52) | Office Workers (n = 52) | P-Value* |
|---|---|---|---|
| FVC (% pred) | 85.3 ± 9.4 | 88.5 ± 10.1 | 0.0975 |
| FEV1 (% pred) FEV1/FVC% | 81.4 ± 8.7 72.8 ± 4.3 | 84.6 ± 9.1 74.7 ± 5.2 | 0.0697 0.0449 |
| MEF50 (% pred) MEF75 (% pred) | 55.9 ± 6.1 53.7 ± 5.7 | 60.5 ± 5.9 60.8 ± 6.4 | 0.0002 0.0000 |
| MEF25-75 (% pred) | 61.8 ± 6.3 | 64.5 ± 7.1 | 0.0428 |
Data are expressed as mean value with standard deviation.
FVC: forced vital capacity; FEV1: forced expiratory volume in 1 second; MEF50, MEF75, MEF25-75: maximal expiratory flow at 50%, 75%, and 25-75% of FVC, respectively; % pred: % of predicted value.
Tested by independent-sample T-test.
Mean post-bronchodilator values of spirometric parameters in the examined subjects.
| Spirometric Parameter | Dairy Farmers (n = 52) | Office Workers (n = 52) | P-Value* |
|---|---|---|---|
| FVC (% pred) | 88.1 ± 10.3 | 92.3 ± 10.1 | 0.0382 |
| FEV1 (% pred) FEV1/FVC% | 83.2 ± 8.1 73.6 ± 4.2 | 87.6 ± 7.9 75.8 ± 4.5 | 0.0060 0.0114 |
| MEF50 (% pred) MEF75 (% pred) | 57.6 ± 6.5 56.2 ± 5.8 | 62.4 ± 6.1 61.9 ± 5.4 | 0.0002 0.0000 |
| MEF25-75 (% pred) | 63.1 ± 6.5td> | 65.9 ± 7.8 | 0.0494 |
Data are expressed as mean value with standard deviation.
FVC: forced vital capacity; FEV1: forced expiratory volume in 1 second; MEF50, MEF75, MEF25-75: maximal expiratory flow at 50%, 75%, and 25-75% of FVC, respectively; % pred: % of predicted value.
* Tested by independent-sample T-test.
Dairy farmers showed a higher prevalence of overall respiratory symptoms in the last year compared to office controls. Significant difference was noticed for cough, phlegm, and dyspnea (Table 2).
Work-related respiratory symptoms in the last 12 months were more prevalent among dairy farmers in comparison with office workers. Significant difference was reached for overall work-related respiratory symptoms, cough, and phlegm (Table 3).
The mean baseline values of spirometric parameters were lower in dairy farmers. Significant difference was detected for FEV1/FVC%, MEF50, MEF75, and MEF25-75 (Table 4).
Dairy farmers had significantly lower mean post-bronchodilator values of every spirometric parameter (Table 5). The mean FEV1 reversibility (%FEV1 reversibility) was significantly higher in dairy farmers (11.1% vs 4.8%, P = 0.019; Independent-samples T-test).
According to the obtained results in our study, criteria for diagnosis of COPD (post-bronchodilator FEV1/FVC less than 0.70) were fulfilled by eight subjects (10.7%) among dairy farmers, and two subjects (2.7%) among office workers (10.7% vs 2.7%, P = 0,049; Chi-square test) (Fig. 1).
Prevalence of COPD in the study subjects.
Mean FVC, FEV1, and MEF25-75 values in dairy farmers with diagnosed COPD were 83.8±4.9, 81.2±5.3, and 60.4±5.2, while those in office workers with diagnosed COPD were 86±1.4, 82.6±1.4, and 63±1.4 respectively.
Work-relatedness of the chronic respiratory symptoms was reported by every examined dairy farmer with diagnosed COPD, while COPD office controls did not report any work-relatedness to the symptoms. Concerning COPD severity classification due to GOLD 2010 [39], we have found six COPD cases in dairy farmers categorized as a mild COPD (FEV1/FVC<0.70; FEV1≥80% predicted), and two cases with COPD among dairy farmers categorized as a moderate COPD (FEV1/FVC<0.70; 50%≤FEV1<80% predicted). The two confirmed COPD cases in office workers were categorized as a mild COPD.
Both dairy farmers and office controls had significant association between COPD and age over 45 years (P = 0.032 vsP = 0.048, respectively). Dairy farmers showed a significant association between COPD and employment duration of over 20 years (P = 0.023), as well as work-related chronic respiratory symptoms (P = 0.041). There was no significant association between COPD and some other variables (BMI, family history of COPD or CB, and environmental ETS), neither in dairy farmers, nor office workers.
DISCUSSION
Globally, COPD remains one of most important factors for both morbidity and mortality. The existing facts showed that smoking is the most important causative factor, but it is regularly accompanied by a vast number of occupational and environmental exposures. The current study explored the influence of specific workplace exposure among never-smoking dairy farmers on COPD developing and its characteristics. In both dairy farmers and controls, a relatively big number of passive smokers were noticed, being alike to its registered frequency in our country already documented in the previous studies [40]. This also indicates that so far there are still insufficient activities focused on smoking cessation nationwide.
The supreme interest in smoking, as a proven major risk factor for COPD development, has overshadowed the influence of non-smoking causes. However, Husman and colleagues [41] have put the occupation in relation with COPD in their longitudinal study among farmers and non-farming workers in Finland, showing the presence of disease in 2.7% of farmers compared to 0.7% of non-farming workers. This way, they proved the adverse effect of occupational exposure in farming independent of smoking, indicating that CB is a work-related disease among farmers.
Dalphin et al. started the research into COPD in agricultural workers several decades ago, exploring the prevalence of CB and respiratory function in French dairy farmers. They gave the conclusion that dairy farmers were at risk for development of both CB and an airway obstruction [2]. Furthermore, Greskevitch et al. [42], were involved in a survey to study mortality and morbidity in agricultural workers linked to respiratory pathology. According to their results, crop farm workers and livestock farm workers showed significantly increased mortality related to respiratory conditions. Concerning the smoking habit in farmers, findings have shown that ex-smokers had higher prevalence of asthma, compared to non-smokers.
In our study, we have registered higher prevalence of overall chronic respiratory symptoms in the previous year in dairy farmers compared to office controls, being significantly frequent for cough, phlegm and dyspnea. Similar results about the prevalence of these symptoms in farmers were obtained by numerous studies. Radon et al., based on the results of the European Farmers’ project showed a higher prevalence of chronic phlegm in animal farmers compared to the general population [43]. Heading in this direction, the research in Switzerland concluded that agricultural work was closely related to the CB risk and phlegm production in comparison with the general public [44]. Nevertheless, presence of chronic respiratory symptoms reporting did not always match the level of chronic airflow limitation determined by spirometry.
Dairy farmers and their respiratory health were in focus of numerous studies in France. According to Dalphin et al. [2], examined group of 250 dairy farmers had a significantly higher prevalence of CB (12%), compared to matched control subjects (6%). These findings were most likely present in subjects aged 40 years or more, but also in non-smokers. Another survey [7], have shown a 6.4% rate of CB among dairy farmers versus 0.7% in non-exposed controls, reporting an increase in the CB frequency among smokers, both exposed and controls, whereas the exposure effect was higher or equal to the effect of smoking on CB.
Our actual research confirmed that work-related respiratory symptoms in the previous year were more prevalent among dairy farmers compared to office controls reaching significance for overall work-related respiratory symptoms, cough, and phlegm, which is in accordance with some previous studies. The Croatian study was focused on the issue of CB in 236 livestock farm-workers, dealing with dairy cattle, and compared the results with 165 food packing workers [45]. The CB frequency was significantly higher among male farm-workers (21.9%) compared with controls (6.7%), (P<0.05). The frequency was higher among smokers (27.6%) versus non-smokers (6.5%), (P<0.05). Another study that was focused on the CB prevalence in farm workers with no breeding or managing livestock, was that of Kern et al. [46], showing significantly higher rate of CB in male farm workers (20.9%), compared to controls (7.4%), (P < 0.001). On the other hand, smokers had a higher CB prevalence (30.2%) in comparison with non-smokers (6.9%), (P < 0.001).
Recent Finnish study among a larger group of farmers [47] showed an association between CB, atopy, and smoking (RR=1.43 and RR=2.43 respectively), whereas a similar study in Norway [48] reported that the CB prevalence was highest among full-time farmers with livestock production (11.2%), while CB frequency was lowest among part-time farmers without livestock production (4.4%). A significant influence of smoking was described concerning the prevalence of CB (5.8% in never smokers and 13.5% in ever smokers).
Concerning lung function testing, we have found that mean baseline spirometric values were lower in dairy farmers showing significance for FEV1/FVC%, MEF50, MEF75, and MEF25-75.
The CB prevalence and COPD development was studied by Eduard et al. and compared between crop and livestock farmers [10]. Based on this research they have concluded that livestock farmers suffered from both those conditions, having an odds ratio of 1.9 for CB, and 1.4 for COPD. This study explored the lung function among examined farmers, as well as the effect of exposure to biological agents. FEV1 had a significant reduction, whereas FVC did not. Despite a significantly lower FEV1 in atopic farmers, there was no significant relationship between atopy, CB, COPD and FVC. Nevertheless, the exposure effects and their influence on COPD were significantly increased in atopic farmers.
In order to confirm the COPD diagnosis in our study subjects, defined as a post-bronchodilator FEV1/FVC less than 0.70, a bronchodilator reversibility test was performed. This procedure was done due to actual GOLD recommendat-ions, requiring the post-bronchodilator spirometry for both COPD diagnosis and severity assessment, having in mind that the degree of airflow limitation reversibility (measurements of FEV1 before and after bronchodilator administration) is no longer mandatory or recommended.
The prevalence of COPD in our study was significantly higher in dairy farmers (10.7%) compared to office controls, confirming the increased risk for COPD development in farming occupations. Our results were similar to those the study performed by Miravitlles et al. [49] exploring the prevalence of COPD among Spanish population. They reported an overall COPD prevalence of 10.2% (95% CI 9.2% to 11.1%) out of 3802 participants with good-quality postbronchodilator spirometry, being higher in men (15.1%) than in women (5.6%).
Earlier study findings showed that ambient exposure to grain dust in farms [41] was related to COPD. In 2003, ATS conducted a large epidemiological survey focused on workplace factors related to COPD, and discovered that approximately 15% of COPD cases were related to occupational exposure [24], while a subsequent follow-up determined similar results [25].
COPD among non-smoking animal farmers working inside confined buildings was studied also by Monsó et al. [50]. COPD was found in 18 out of 105 examined farmers (17.1%). 8 cases (7.6%) had a moderate diseases form, while 3 cases (2.9%) had severe COPD. A dose-relationship between COPD, dust, and endotoxin exposure was also determined, and the highest COPD prevalence was reported in subjects exposed to both dust and endotoxin.
Having in mind the longitudinal study data, Hnizdo et al. [51] concerning the airway obstruction due to occupation, reported that among Mexican-Americans the largest percentage (32.0%) of attributable fraction was connected to agriculture. Never smoking farmers compared to never smoking subjects from other occupations reported a 1.6-fold increased risk for non-reversible airways obstruction in farmers. Similar to these findings, the frequency of COPD GOLD I or higher was 24.5% among farmers who never smoked, versus 15.9% in other subjects who never smoked and had occupations different from farming (P<0.017).
Concerning the subjects’ age range in our study, among both groups, COPD was closely related to age over 45 years, as an explanation about the cumulative effect of different occupational and environmental exposures during the lifetime among the predisposed subjects. Also, we have detected a significant association between COPD and job exposure duration of over 20 years in dairy farmers. On the other hand, their COPD was associated with the work-related chronic respiratory symptoms.
Lamprecht et al., performing the survey of 1258 adults aged over 40 years [52] detected that 7.7% of the COPD risk was farming related, while mild COPD was present in about 30% of the subjects. Regarding the subjects’ age groups, Iversen et al. [53] exploring CB in Danish farmers found a 23.6% CB prevalence. 17.9% of this was found in farmers aged 31 to 50 years, and 33% in farmers aged 51 to 70 years. The rates were highest among pig farmers (32.0%), but also in both dairy and pig farmers (28.4%). The lowest ones were registered in only dairy farmers (17.5%) and farmers with no animals kept (18.6%). Analyzing CB in randomly selected Swiss farmers, Danuser et al. [44] detected 16% prevalence rate, and showed a significant increase with age. The main risk factors for CB development were crop farming, age over 60 years, former smoking, and more than 4 hours daily spent in confinement buildings. Non-smoking Swiss farmers had 12% CB prevalence, significantly higher compared to general Swiss population (6.8%).
Finally, the current research has its own limitation factors. Certain influence on the obtained data and their analyze could have the considerably low number of study participants in both groups, absence of workplace monitoring to clearly understand the impact of exposure type and degree on COPD development, as well as lack of atopy evaluation among the examined subjects. Furthermore, alike every cross-sectional survey, the results could be jeopardized by the influence of healthy workers’ effect.
Nevertheless, this study has also its strength, translated into the research on the workplace exposure and its respiratory effects among never-smoking dairy farmers engaged in one specific farming job.
CONCLUSION
The actual study findings are in line with the results from other similar studies about the cause-effect association between job exposure to respiratory hazards among dairy farmers and development of persistent airway obstruction. This should further help in detection of critical points for action, but also indicate the need of adverse occupational exposures reduction through adequate preventive measures, use of respiratory protective equipment, and implementation of engineering controls.
CONFLICT OF INTEREST
The authors confirm that this article content has no conflict of interest.
ACKNOWLEDGEMENTS
Declared none.
