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首页> 外文期刊>Occupational and environmental medicine >Predictors of early leaving from the cotton spinning mill environment in newly hired workers.
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Predictors of early leaving from the cotton spinning mill environment in newly hired workers.

机译：可以预测新雇用工人将提前退出棉纺厂环境。

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OBJECTIVE: This longitudinal study aimed to identify the predictors of leaving during the first year of employment from the cotton spinning mill environment in newly hired workers. METHODS: One hundred and ninety eight consecutively appointed new employees were investigated by questionnaire, lung function test, and skin test. They were examined before employment and at the end of the 1st week, and the 1st, 3rd, 6th, and 12th month after starting work and when possible before leaving their job. 572 personal dust sampling and 191 endotoxin measurements were performed to assess the environmental exposure. For the univariate analysis chi2, Student t tests, ANOVA, and Kruskall Wallis tests were used. Cox proportional hazards analysis was used to identify factors associated with leaving the job. RESULTS: Fifty three per cent of workers left the mill environment during their first working year. Work related lower respiratory tract symptoms reported at the third month were associated with an increase rate of leaving the industry compared to those remaining in the industry (25% v 4.8%; p<0.005). Having respiratory symptoms at the first month of work predicted those leaving the industry at some point in the next 11 months. According to the Cox model, increasing age and having work related lower respiratory tract symptoms were found to be predictors for leaving job at the first working year. Atopic status, dust and endotoxin levels, and lung function changes were not consistently predictive of workers who left the industry in the follow up period. CONCLUSION: This study demonstrated that work related respiratory symptoms can predict workers likely to leave the cotton mill environment during the first year of employment, but atopy or acute lung function changes do not.
机译：目的：这项纵向研究旨在确定在棉纺厂就业的第一年内，新雇用工人离开的预测因素。方法：通过问卷调查，肺功能测试和皮肤测试对198位连续任命的新员工进行了调查。他们在就业之前以及在开始工作后的第一个星期，第1、3、6和12个月以及可能的情况下在离开工作之前接受检查。进行了572次个人灰尘采样和191次内毒素测量，以评估环境暴露。对于chi2单变量分析，使用了学生t检验，ANOVA和Kruskall Wallis检验。使用Cox比例风险分析来确定与离职相关的因素。结果：53％的工人在他们的第一个工作年离开了工厂环境。第三个月报告的与工作有关的下呼吸道症状与离开该行业的比例相比有上升趋势（25％对4.8％; p <0.005）。在工作的第一个月出现呼吸道症状，预示着在接下来的11个月内会离开该行业的症状。根据Cox模型，发现年龄增长和与工作有关的下呼吸道症状是第一工作年离职的预测因素。特应性状况，灰尘和内毒素水平以及肺功能变化不能一致地预测在随访期内离开该行业的工人。结论：这项研究表明，与工作有关的呼吸系统症状可以预测工人在工作的第一年中可能离开棉纺厂的环境，但是特应性或急性肺功能的改变却没有。

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