Stoleski Saso, Minov Jordan, Karadzinska-Bislimovska Jovanka, Mijakoski Dragan, Atanasovska Aneta, Bislimovska Dragana
Institute for Occupational Health of Republic of Macedonia, WHO Collaborating Center, Galen Collaborating Center, Skopje, Republic of Macedonia.
Open Access Maced J Med Sci. 2019 Jul 28;7(14):2350-2359. doi: 10.3889/oamjms.2019.630. eCollection 2019 Jul 30.
To evaluate the prevalence of chronic respiratory symptoms, lung function impairment, and chronic obstructive respiratory diseases in dairy farmers. Our objective is to then examine their relation to exposure duration and to explore the usefulness of job exposure matrices as tools for exposure assessment, and predictors for respiratory health impairment.
A cross-sectional study was performed, including 83 dairy farmers (mean age: 52.6 ± 8.7 years; mean exposure duration: 23.7 ± 7.6 years) and 80 office workers as a control group (mean age: 52.7 ± 8.2 years) matched for age, smoking habits, and socioeconomic status. Methods of evaluating examined subjects included a questionnaire on respiratory symptoms in the last 12 months, spirometry and histamine challenge, as well as the use of job exposure matrices (JEM).
Dairy farmers had a significantly higher prevalence of cough (38.5), phlegm (27.7%), and wheezing (21.7%), than controls (p < 0.05). All mean baseline spirometric parameters were lower in dairy farmers compared to the controls, but statistical significance was confirmed only for MEF25, MEF50, and MEF75% (p = 0.010, p = 0.001, and p = 0.004, respectively). The prevalence of bronchial hyperresponsiveness, asthma, and chronic obstructive pulmonary disease was higher in dairy farmers but without statistical significance. JEM were useful tools for exposure assessment and predictors of factors for asthma and COPD development.
The results suggest that occupational exposure among crop farmers is associated with a higher prevalence of respiratory symptoms, lung function impairment, and a higher prevalence of chronic respiratory diseases. JEM showed good potential for farming exposure evaluation and promoted their applicability within the diagnostic algorithm focused on respiratory health assessment.
评估奶农慢性呼吸道症状、肺功能损害及慢性阻塞性呼吸道疾病的患病率。我们的目标是随后研究它们与暴露持续时间的关系,并探讨工作暴露矩阵作为暴露评估工具以及呼吸道健康损害预测指标的实用性。
进行了一项横断面研究,纳入83名奶农(平均年龄:52.6±8.7岁;平均暴露持续时间:23.7±7.6年)和80名办公室职员作为对照组(平均年龄:52.7±8.2岁),两组在年龄、吸烟习惯和社会经济地位方面相匹配。评估受试对象的方法包括关于过去12个月呼吸道症状的问卷、肺功能测定和组胺激发试验,以及使用工作暴露矩阵(JEM)。
奶农咳嗽(38.5%)、咳痰(27.7%)和喘息(21.7%)的患病率显著高于对照组(p<0.05)。与对照组相比,奶农所有平均基线肺功能测定参数均较低,但仅MEF25、MEF50和MEF75%具有统计学意义(分别为p=0.010、p=0.001和p=0.004)。奶农支气管高反应性、哮喘和慢性阻塞性肺疾病的患病率较高,但无统计学意义。JEM是暴露评估的有用工具,也是哮喘和慢性阻塞性肺疾病发生因素的预测指标。
结果表明,奶农的职业暴露与呼吸道症状患病率较高、肺功能损害以及慢性呼吸道疾病患病率较高有关。JEM在农业暴露评估方面显示出良好潜力,并促进了其在专注于呼吸道健康评估的诊断算法中的适用性。