An occupational health risk index: definition, description and mapping at municipality level.

IF 1.2 4区 医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Epidemiologia & Prevenzione Pub Date : 2023-11-01 DOI:10.19191/EP23.6.A620.083
Claudio Gariazzo, Luca Taiano, Alberto Scarselli, Nicola Caranci, Alessandro Marinaccio
{"title":"An occupational health risk index: definition, description and mapping at municipality level.","authors":"Claudio Gariazzo, Luca Taiano, Alberto Scarselli, Nicola Caranci, Alessandro Marinaccio","doi":"10.19191/EP23.6.A620.083","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>to develop an occupational health risk index that can help to introduce the occupational risk component into epidemiological studies and assess the level of occupational risk in Italian municipalities useful for supporting prevention measures.</p><p><strong>Design: </strong>defi nition of a municipal index as a combination of occupational and territorial indicators derived from national registers of occupational data and environmental archives.</p><p><strong>Setting and participants: </strong>the index composition is based on data on work injuries, occupational diseases and workers exposed to carcinogens in the years 2015-2019 available at the municipal level, as well as data on municipalities hosting sites of national interest for environmental remediation (SIN) and those in which big industrial facilities (GIE), registered as pollutant emitters, are located.</p><p><strong>Main outcome measures: </strong>standardized rates of occupational injuries and occupational diseases occurred in Italian municipalities were calculated from data collected by the Italian National Institute for Insurance against Accidents at Work (Inail) in relation to the working-age population (15-69 and 15+ for injuries and occupational diseases, respectively), estimated by the Italian National Statistical Institute (Istat) in 2018. In addition, data from the National Information System on Occupational Exposure to carcinogens (SIREP) were included, from which raw rates were calculated at municipal level. Finally, two other indicators were included, describing the presence/absence of a SIN and the number of GIEs industrial facilities in each municipality. The index of occupational health risk (INDORS) is calculated by summing standardised values of the above fi ve indicators as a continuous variable and it was also classifi ed by quintiles of population as a categorical variable. The association between cause-specific mortality and INDORS levels was evaluated using data on mortality occurring in 2015.</p><p><strong>Results: </strong>during the observation period 2,011,457, 131,353 and 140,183 events were recorded for injuries, occupational diseases and workers exposed to carcinogens, mainly among male workers. A municipal map of INDORS levels (1-5) shows a strong South-North gradient, in line with the Italian industrial geographical context. The contributions of the SIN and GIE indicators are higher in the hot spot municipalities located in the Southern regions and islands. Among the municipalities analysed 1,099 were classifi ed in the lowest risk level, 1,331 in the low-medium level, 1,619 in the medium level, 2,621 in the medium-high level and 1,284 in the highest risk level. The index shows a direct correlation with accidental mortality and an inverse correlation with all-cause and malignant neoplasm mortality.</p><p><strong>Conclusions: </strong>the proposed index can be useful to introduce the occupational risk dimension in ecological studies and results as a flexible tool to rank Italian municipalities in terms of occupational risk.</p>","PeriodicalId":50511,"journal":{"name":"Epidemiologia & Prevenzione","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiologia & Prevenzione","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.19191/EP23.6.A620.083","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: to develop an occupational health risk index that can help to introduce the occupational risk component into epidemiological studies and assess the level of occupational risk in Italian municipalities useful for supporting prevention measures.

Design: defi nition of a municipal index as a combination of occupational and territorial indicators derived from national registers of occupational data and environmental archives.

Setting and participants: the index composition is based on data on work injuries, occupational diseases and workers exposed to carcinogens in the years 2015-2019 available at the municipal level, as well as data on municipalities hosting sites of national interest for environmental remediation (SIN) and those in which big industrial facilities (GIE), registered as pollutant emitters, are located.

Main outcome measures: standardized rates of occupational injuries and occupational diseases occurred in Italian municipalities were calculated from data collected by the Italian National Institute for Insurance against Accidents at Work (Inail) in relation to the working-age population (15-69 and 15+ for injuries and occupational diseases, respectively), estimated by the Italian National Statistical Institute (Istat) in 2018. In addition, data from the National Information System on Occupational Exposure to carcinogens (SIREP) were included, from which raw rates were calculated at municipal level. Finally, two other indicators were included, describing the presence/absence of a SIN and the number of GIEs industrial facilities in each municipality. The index of occupational health risk (INDORS) is calculated by summing standardised values of the above fi ve indicators as a continuous variable and it was also classifi ed by quintiles of population as a categorical variable. The association between cause-specific mortality and INDORS levels was evaluated using data on mortality occurring in 2015.

Results: during the observation period 2,011,457, 131,353 and 140,183 events were recorded for injuries, occupational diseases and workers exposed to carcinogens, mainly among male workers. A municipal map of INDORS levels (1-5) shows a strong South-North gradient, in line with the Italian industrial geographical context. The contributions of the SIN and GIE indicators are higher in the hot spot municipalities located in the Southern regions and islands. Among the municipalities analysed 1,099 were classifi ed in the lowest risk level, 1,331 in the low-medium level, 1,619 in the medium level, 2,621 in the medium-high level and 1,284 in the highest risk level. The index shows a direct correlation with accidental mortality and an inverse correlation with all-cause and malignant neoplasm mortality.

Conclusions: the proposed index can be useful to introduce the occupational risk dimension in ecological studies and results as a flexible tool to rank Italian municipalities in terms of occupational risk.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
职业健康风险指数:市镇一级的定义、描述和绘图。
目标:开发一种职业健康风险指数,帮助将职业风险成分引入流行病学研究,并评估意大利城市的职业风险水平,以支持预防措施。设计:将城市指数定义为从国家职业数据登记簿和环境档案中得出的职业和地区指标的组合。环境和参与者:指数构成基于 2015-2019 年市级工伤、职业病和接触致癌物质工人的数据,以及拥有国家环境修复(SIN)场所的城市和登记为污染物排放者的大型工业设施(GIE)所在城市的数据。主要结果测量指标:根据意大利国家工伤保险研究所(Inail)收集的数据,计算出意大利各市发生的工伤和职业病的标准化比率,与意大利国家统计局(Istat)2018年估算的工作年龄人口(工伤和职业病分别为15-69岁和15岁以上)相关。此外,还纳入了国家致癌物质职业接触信息系统(SIREP)的数据,并根据这些数据计算出各市的原始比率。最后,还纳入了另外两个指标,分别描述各市是否存在 SIN 以及 GIEs 工业设施的数量。职业健康风险指数(INDORS)作为连续变量,由上述五项指标的标准化值相加计算得出;作为分类变量,该指数还按人口的五分位数进行了分类。结果显示:在观察期内,工伤、职业病和接触致癌物质工人的死亡率分别为 2 011 457、131 353 和 140 183,主要集中在男性工人中。INDORS 水平(1-5)的城市地图显示出强烈的南北梯度,与意大利的工业地理环境相一致。在南部地区和岛屿的热点城市,SIN 和 GIE 指标的贡献率较高。在所分析的城市中,有 1 099 个城市属于最低风险等级,1 331 个城市属于中低风险等级,1 619 个城市属于中等风险等级,2 621 个城市属于中高风险等级,1 284 个城市属于最高风险等级。该指数与意外事故死亡率直接相关,而与全因死亡率和恶性肿瘤死亡率成反比。结论:所提出的指数有助于在生态研究中引入职业风险维度,并可作为一种灵活的工具,对意大利各城市的职业风险进行排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Epidemiologia & Prevenzione
Epidemiologia & Prevenzione 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.60
自引率
14.30%
发文量
0
审稿时长
>12 weeks
期刊介绍: Epidemiologia & Prevenzione, oggi organo della Associazione italiana di epidemiologia, raccoglie buona parte delle migliori e originali esperienze italiane di ricerca epidemiologica e di studio degli interventi per la prevenzione e la sanità pubblica. La rivista – indicizzata su Medline e dotata di Impact Factor – è un canale importante anche per la segnalazione al pubblico internazionale di contributi che altrimenti circolerebbero soltanto in Italia. E&P in questi decenni ha svolto una funzione di riferimento per la sanità pubblica ma anche per i cittadini e le loro diverse forme di aggregazione. Il principio che l’ha ispirata era, e rimane, che l’epidemiologia ha senso se è funzionale alla prevenzione e alla sanità pubblica e che la prevenzione ha ben poche possibilità di realizzarsi se non si fonda su valide basi scientifiche e se non c’è la partecipazione di tutti i soggetti interessati. Modalità di comunicazione aggiornate, metodologia statistica ed epidemiologica rigorosa, validità degli studi e solidità delle interpretazioni dei risultati sono la solida matrice su cui E&P è costruita. A questa si accompagna una forte responsabilità etica verso la salute pubblica, che oggi ha ampliato in forma irreversibile il suo orizzonte, e include in forma sempre più consapevole non solo gli esseri umani, ma l’intero pianeta e le modificazioni che l’uomo apporta all’universo in cui vive. L’ambizione è che l’offerta di nuovi strumenti di comunicazione, informazione e formazione, soprattutto attraverso l''uso di internet, renda la rivista non solo un tradizionale veicolo di contenuti e analisi scientifiche, ma anche un potente strumento a disposizione di una comunità di interessi e di valori che ha a cuore la salute pubblica.
期刊最新文献
[Personal protection strategies for mitigating the effects of air pollution: A narrative literature review]. [On the June 25, 2024 Judgment of the Court of Justice of the European Union regarding Ilva Taranto (Southern Italy)]. Social inequalities in health within the City of Milan (Lombardy Region, Northern Italy): An ecological assessment. [Testing an algorithm to identify disabilities using current health and social healthcare database: the experience of the Agency for Health Protection of the Metropolitan Area of Milan]. [Registers as central real world data source: the experience of the Italian Multiple Sclerosis and Related Disorders Register].
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1