• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Annals of work exposures and health. >A Quantitative General Population Job Exposure Matrix for Occupational Daytime Light Exposure
【24h】

A Quantitative General Population Job Exposure Matrix for Occupational Daytime Light Exposure

机译：用于职业日间光线暴露的定量总人口工作曝光矩阵

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

High daytime light levels may reduce the risk of affective disorders. Outdoor workers are during daytime exposed to much higher light intensities than indoor workers. A way to study daytime light exposure and disease on a large scale is by use of a general population job exposure matrix (JEM) combined with national employment and health data. The objective of this study was to develop a JEM applicable for epidemiological studies of exposure response between daytime light exposure, affective disorders, and other health effects by combining expert scores and light measurements. We measured light intensity during daytime work hours 06:00-17:59 for 1-7 days with Philips Actiwatch Spectrum (R) light recorders (Actiwatch) among 695 workers representing 71 different jobs. Jobs were coded into DISCO-88, the Danish version of the International Standard Classification of Occupations 1988. Daytime light measurements were collected all year round in Denmark (55-56 degrees N). Arithmetic mean white light intensity (lux) was calculated for each hour of observation (n = 15,272), natural log-transformed, and used as the dependent variable in mixed effects linear regression models. Three experts rated probability and duration of outdoor work for all 372 jobs within DISCO-88. Their ratings were used to construct an expert score that was included together with month of the year and hour of the day as fixed effects in the model. Job, industry nested within job, and worker were included as random effects. The model estimated daytime light intensity levels specific for hour of the day and month of the year for all jobs with a DISCO-88 code in Denmark. The fixed effects explained 37% of the total variance: 83% of the between-jobs variance, 57% of the between industries nested in jobs variance, 43% of the between-workers variance, and 15% of the within-worker variance. Modeled daytime light intensity showed a monotonic increase with increasing expert score and a 30-fold ratio between the highest and lowest exposed jobs. Building construction laborers were based on the JEM estimates among the highest and medical equipment operators among the lowest exposed. This is the first quantitative JEM of daytime light exposure and will be used in epidemiological studies of affective disorders and other health effects potentially associated with light exposure.
机译：高白天的光水平可能会降低情感障碍的风险。在白天，户外工人的光强度比室内工人更高。一种大规模研究日间光暴露和疾病的方法是使用一般人口工作暴露矩阵（JEM）与国家就业和健康数据相结合。这项研究的目的是开发适用于白天光暴露，情感障碍和其他健康效应之间暴露反应流行病学研究的JEM，通过结合专家评分和光测量。在695名代表71个不同工作的工人中，我们在白天工作时间内测量了白天工作时间06：00-17：59：59：59：00-17：59。作业被编码为Disco-88，这是1988年国际职业标准分类的丹麦版本​​。丹麦全年收集了白天的光测量（55-56度）。计算算术平均白光强度（LUX），每小时观察（n = 15,272），自然对数转换，并用作混合效应线性回归模型中的因变量。三名专家评估了迪斯科88中所有372个工作的户外工作的概率和持续时间。他们的评分用于构建一个专家分数，该分数与一天中的一年和小时一起作为模型中的固定效果。工作，行业嵌套在工作中，工人被包括在随机效果中。该模型估计的白天光强度水平特定于一年中的每日小时，用于在丹麦带有迪斯科-88代码的所有工作。固定效果解释了总方差的37％：乔布斯之间的差异的83％，嵌套在就业方差的行业中的57％，工人间差异的43％和工人内方差的15％。建模的白天光强度显示出单调的增加，而专家得分的提高和最高裸露的作业之间的30倍比率。建筑施工工人基于JEM估计值最低的医疗设备运营商之一。这是白天光暴露的第一个定量JEM，将用于情感障碍和其他与光暴露有关的健康影响的流行病学研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号