企业粉尘职业危害监督量化分级管理指标体系的筛选

目的是建立粉尘职业卫生监督量化分级管理指标体系,为企业的粉尘职业危害防治提供依据。对象与方法是以59名国内职业卫生领域专家为研究对象。通过编制的调查表,让专家依据各指标的重要程度打分。国内职业卫生领域符合条件的专家以电子邮件方式发送调查问卷70份,收回调查表59份。利用变异系数法,计算每一指标的平均分、变异系数和满分比,评价信度和效度,最终筛选确定粉尘企业职业危害监督量化分级管理的指标体系。结果如下,59名专家积极系数84.3%,8项一级指标和69项二级指标的平均值均超过2.5,变异系数均在50%以下,满分比均介于0-1之间,8项一级指标的克朗巴赫值均大于0.6,相关系数介于0.249-0.705之间。除预防措施和粉尘危害项目存在的问题外,其余均具有统计学意义。结论为企业粉尘职业危害监督量化分级管理指标体系经筛选包括8项一级指标和69项二级指标。     

北京市职业安全健康重点实验室模式探究

为进一步提升北京市科技攻关能力,推进北京市科技创新体系建设,由北京市劳动保护科学研究所牵头,联合有关单位共同申请的《北京市职业安全健康重点实验室》,将成为北京市首个多方合作、优势互补、强强联合的典范。该实验室对于全面提升我国和北京市职业安全健康科技创新能力,加快科研成果的转化和培养新型复合型职业安健康领域的科研人才,以及在引领相关领域科研模式创新发展等方面将发挥重要的作用。     

淮河流域某地区地下水污染健康风险评价

为研究淮河流域下游某地区地下水中污染物对人体产生的潜在健康危害风险,对该地区的水质进行了监测分析,并采用美国环境保护署（U.S.EPA）推荐的健康风险评价模型对该地区地下水中污染物所引起的健康风险进行了评价.结果表明,所监测的污染物浓度都在生活饮用水卫生标准（GB 5749—2006）和地下水质量标准（GB/T 148...     

北京建成区道路绿化空间结构和行道树健康状况

采用实地普查测量方法,定量研究了北京建成区188条道路行道树的树种结构、径级分布、立木层次和健康状况。结果表明,国槐（Sophora japonica）、毛白杨（Populus alba）、银杏（Ginkgo biloba）是建成区主要行道树种,使用量分别占研究区树木总株数的54．7％、13．7％和7．4％。建成区树木...     

海洋溢油污染的生态与健康危害

随着溢油事故的频繁发生,海洋溢油污染备受关注.本文在阐述国内外海洋溢油污染现状的基础上,针对溢油污染对人类健康的影响进行了初步分析,并针对海洋环境中溢油的环境行为以及对海洋生态系统、沿岸滩涂生态系统的毒性效应进行了概述.最后,对海洋溢油污染研究的发展趋势进行了展望.     

北京市三种典型城市绿地类型的保健功能分析

随着城市化进程的加快,越来越多的城市居民的健康受到城市污染的影响,因而城市绿地对人体的保健作用日益受到重视。通过实地监测的方法,选择北京3种典型类型的绿地、在不同空间以及不同的季相条件组合下,对形成绿地保健功能的空气负离子浓度、空气温度、湿度、二氧化碳浓度、噪音等因子进行了研究。结果表明：（1）不同绿地类型的保健功能有较大的差距,以同一时段空气中的负离子浓度为例,其最大值发生在郊野公园（1810cm^-3）,高于单位绿地（980cm^-3）,远高于作为对照的商业中心（110cm^-3）;（2）在同一绿地的不同空间位置也存在明显差异,以道路绿化防护林带为例,林带中心空气中的负离子浓度高达1900cm-^-3,高于林缘（591cm^-3）和林外（120cm^-3）;（3）同一绿地保健功能随季相变化发生明显改变,在有叶期的道路绿化防护林带中心的空气负离子浓度（1900cm^-3）是落叶期相同位置空气中负离子浓度（750cm-^-3）的两倍多。空气温湿度、噪音、CO2浓度的空间和时间上的变化类似于空气负离子。本研究获得的数据支持了城市绿地保健功能理论,可为合理设计城市绿地增强其保健功能提供依据。     

基于二元语义的职业健康安全管理体系绩效评价

为提高职业健康安全管理体系(OHSMS)绩效和职业健康安全绩效,根据OHSMS绩效评价的重要性,提出基于二元语义的OHSMS绩效评价模型。研究科学合理的评价指标体系,并运用层次分析法(AHP)和灰色关联分析法(GRA)确定主客观权重,再运用乘法集成法确定组合权重,作为评价指标的最终权重,运用二元语义的集结算子,计算OHSMS绩效评价指标的综合值,取得最终的评价结果。结果表明,基于二元语义的OHSMS绩效评价将专家经验与定量计算相结合,合理地处理许多因素的不确定性,通过确定不符合项和改进措施,持续改进OHSMS绩效。     

Acciphilia on the road: An analysis of severe collisions

Introduction

Although prior studies of road traffic accidents have found between-group differences in risk, little attention has been given to the encounter between drivers involved in severe collisions.

Method

The present study empirically evaluates two different possible causes of "social accidents," which are defined as collisions between two or more drivers where some faulty social interaction might be assumed, and which are the most prevalent cause of road injuries. The analyses use merged Israeli collision records from 1983 to 2004 with data from two national censuses, thus providing an unprecedented empirical basis to study the social foundations of car accidents. The data are used to adjudicate between two alternative hypotheses: the heterogeneity hypothesis (socially different drivers tend to collide) versus the homogeneity hypothesis (socially similar drivers tend to collide).

Results

Multivariate analyses provide preliminary support for the latter hypothesis. Given an accident, there are more collisions among drivers from the same broad educational group, and the factors that influence this correlation are independent of geography. The paper thus leads to the idea that severe collisions reflect a sociological or ecological process that is akin to acciphilia.

Impact on Industry

The preliminary findings suggest that variation between drivers may be preferable to similarity, since apparently there is a greater tendency toward collisions between similar drivers.     

Evaluating repeated patient handling injuries following the implementation of a multi-factor ergonomic intervention program among health care workers

Objective

The objective of this study was to evaluate repeated patient handling injuries following a multi-factor ergonomic intervention program among health care workers.

Methods

This was a quasi-experimental study which had an intervention group and a non-randomized control group. Data were collected from six hospitals in Saskatchewan, Canada from September 1, 2001 to December 1, 2006.

Results

A total of 1,480 individuals who had a previous injury were eligible for the study. Medium and small size hospitals in the intervention group had significantly fewer repeated injuries than in the control group. Multivariate analysis showed that the intervention group had 38.1% lower odds of having repeated injury compared to the control group, after adjusting for hospital size.

Conclusions

The work-related repeated injury after a multi-factor intervention program was reduced. The synergistic relationships between components of multi-factor intervention and applicability of injury prevention programs to different settings need to be further explored.

Impact on Industry

Implementing a multi-factor program with the right equipment and training can lower the risk of injury among health care workers.