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极端天气状况与工作相关的工伤和疾病之间的关联。流行病学研究的系统综述。

The association between extreme weather conditions and work-related injuries and diseases. A systematic review of epidemiological studies.

作者信息

Bonafede Michela, Marinaccio Alessandro, Asta Federica, Schifano Patrizia, Michelozzi Paola, Vecchi Simona

机构信息

Dipartimento di Medicina, Epidemiologia e Igiene del Lavoro e Ambientale, Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro (INAIL), Rome, Italy.

Dipartimento di Epidemiologia del Servizio Sanitario Regionale, Regione Lazio, Rome, Italy.

出版信息

Ann Ist Super Sanita. 2016 Jul-Sep;52(3):357-367. doi: 10.4415/ANN_16_03_07.

DOI:10.4415/ANN_16_03_07
PMID:27698294
Abstract

INTRODUCTION

The relationship between extreme temperature and population health has been well documented. Our objective was to assess the evidence supporting an association between extreme temperature and work related injuries.

METHODS

We carried out a systematic search with no date limits using PubMed, the Cochrane central register of controlled trials, EMBASE, Web of Science and the internet sites of key organizations on environmental and occupational health and safety. Risk of bias was evaluated with Cochrane procedure.

RESULTS

Among 270 studies selected at the first step, we analyzed 20 studies according to inclusion criteria (4 and 16 referring to extreme cold and heat temperature, respectively).

DISCUSSION

Despite the relevance for policy makers and for occupational safety authorities, the associations between extreme temperature and work related injuries is seldom analyzed. The estimation of risk, the identification of specific jobs involved and the characterization of the complex mechanisms involved could help to define prevention measures.

摘要

引言

极端温度与人群健康之间的关系已有充分记录。我们的目标是评估支持极端温度与工作相关伤害之间关联的证据。

方法

我们使用PubMed、Cochrane对照试验中心注册库、EMBASE、科学网以及环境与职业健康及安全关键组织的网站进行了无日期限制的系统检索。采用Cochrane程序评估偏倚风险。

结果

在第一步筛选出的270项研究中,我们根据纳入标准分析了20项研究(分别有4项和16项涉及极寒和极热温度)。

讨论

尽管对政策制定者和职业安全当局具有相关性,但极端温度与工作相关伤害之间的关联很少被分析。风险评估、涉及的特定工作识别以及所涉及复杂机制的特征描述有助于确定预防措施。

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