Suppr超能文献

意大利劳动者中与工作相关的肌肉骨骼疾病的流行情况:是否存在对相关职业风险因素的低估?

Prevalence of work related musculoskeletal disorders in Italian workers: is there an underestimation of the related occupational risk factors?

机构信息

Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, Via Alvaro del Portillo 200, 00128, Rome, Italy.

Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers' Compensation Authority (INAIL), Monte Porzio Catone, 00078, Rome, Italy.

出版信息

BMC Musculoskelet Disord. 2020 Nov 12;21(1):738. doi: 10.1186/s12891-020-03742-z.

Abstract

BACKGROUND

Work-related musculoskeletal disorders (WMSDs) represent an important socio-economic burden. The current risk assessment and management involved in the ethiopathogenesis of WMSDs is based on observational tools and checklists, which have some limitations in terms of accuracy and reliability. The aim of this study was to assess WMSD prevalence and identify possible correlations with several socio-demographic and work-related variables in a large cohort representative of Italian workers in order to improve our understanding of the WMSD phenomenon.

METHODS

This study includes data from INSuLa, a cross-sectional nationally representative survey of health and safety at work, developed by the Italian Workers' Compensation Authority. A total of 8000 Italian workers were included. Multivariate logistic regression analyses were performed to evaluate the association of independent variables, such as workers' perceptions of exposure to biomechanical/ergonomic and video display unit (VDU) risks (Risk Perceived) and the actual risk exposure (Risk Detected) on Back, Lower and Upper limb pain. Socio-demographic, occupational and other health-related variables were included to investigate possible association with musculoskeletal disorders.

RESULTS

Workers perceiving a significant exposure to biomechanical/ergonomic and VDU risks but not included in a health surveillance program for them (Risk Perceived/No Risk Detected) have had significantly higher odds of reporting musculoskeletal disorders. Regarding the biomechanical/ergonomic risk these workers are in the 19-24 age range (39.9%), transportation, warehousing/information and communication sectors (38.9%) and are employed in companies with more than 250 workers (35.8%). Regarding VDU risk, workers are in the 45-54 age range (24.5%), professional, financial and business services (38.0%) and come from companies with more than 250 employees (25.6%).

CONCLUSIONS

Within the occupational safety and health management systems an appropriate assessment of occupational risk factors correlated to musculoskeletal disorders (mainly biomechanical/ergonomic and VDU) and the correct definition of their exposure levels is essential to adequately prevent the onset of WMSDs. In this regard, our findings provide useful information to design novel approaches, aimed at improving our understanding of emerging risks, identifying gaps in current risk assessment strategies and enhancing workplace interventions are mandatory to improve the occupational risk assessment and management process and therefore implement the subsequent health surveillance systems.

摘要

背景

与工作相关的肌肉骨骼疾病(WMSD)是一个重要的社会经济负担。目前,WMSD 的病因学中的风险评估和管理基于观察工具和清单,这些工具在准确性和可靠性方面存在一些局限性。本研究的目的是评估 WMSD 的患病率,并确定其与意大利工人中具有代表性的大型队列中的几个社会人口学和工作相关变量之间的可能相关性,以便更好地了解 WMSD 现象。

方法

本研究的数据来自意大利工人补偿局开发的全国代表性工作健康和安全横断面调查 INSuLa。共纳入 8000 名意大利工人。进行多变量逻辑回归分析,以评估工人对生物力学/人体工程学和视频显示单元(VDU)风险(感知风险)的暴露以及实际风险暴露(检测到的风险)与背部、下臂和上肢疼痛之间的关联。纳入社会人口统计学、职业和其他与健康相关的变量,以调查与肌肉骨骼疾病的可能关联。

结果

感知到显著的生物力学/人体工程学和 VDU 风险但未纳入健康监测计划的工人(感知到风险/未检测到风险)报告肌肉骨骼疾病的可能性明显更高。对于生物力学/人体工程学风险,这些工人处于 19-24 岁年龄组(39.9%)、运输、仓储/信息和通信部门(38.9%),并受雇于拥有 250 名以上工人的公司(35.8%)。对于 VDU 风险,工人处于 45-54 岁年龄组(24.5%)、专业、金融和商业服务(38.0%),并来自拥有 250 名以上员工的公司(25.6%)。

结论

在职业安全和健康管理系统中,对与肌肉骨骼疾病(主要是生物力学/人体工程学和 VDU)相关的职业危险因素进行适当评估,并正确定义其暴露水平,对于充分预防 WMSD 的发生至关重要。在这方面,我们的研究结果提供了有用的信息,旨在设计新方法,旨在提高对新兴风险的理解,确定当前风险评估策略中的差距,并加强工作场所干预措施,以改善职业风险评估和管理过程,从而实施后续的健康监测系统。

相似文献

7
Characteristics of Work-Related Musculoskeletal Disorders in Korea.韩国工作相关肌肉骨骼疾病的特征。
Int J Environ Res Public Health. 2023 Jan 6;20(2):1024. doi: 10.3390/ijerph20021024.
9
[Analysis of influencing factors of work-related musculoskeletal disorders of workers in a cabinet factory].[某橱柜厂工人工作相关肌肉骨骼疾病影响因素分析]
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2021 Nov 20;39(11):839-843. doi: 10.3760/cma.j.cn121094-20200805-00453.

引用本文的文献

本文引用的文献

2
Variable selection strategies and its importance in clinical prediction modelling.变量选择策略及其在临床预测模型中的重要性。
Fam Med Community Health. 2020 Feb 16;8(1):e000262. doi: 10.1136/fmch-2019-000262. eCollection 2020.
6
Bayesian network model to diagnose WMSDs with working characteristics.基于工作特性的 WMSDs 贝叶斯网络诊断模型。
Int J Occup Saf Ergon. 2020 Jun;26(2):336-347. doi: 10.1080/10803548.2018.1502131. Epub 2018 Aug 29.
8
Reducing the global burden of musculoskeletal conditions.减轻全球肌肉骨骼疾病负担。
Bull World Health Organ. 2018 May 1;96(5):366-368. doi: 10.2471/BLT.17.204891. Epub 2018 Apr 12.
9
Scientific basis of ISO standards on biomechanical risk factors.ISO 生物力学风险因素标准的科学基础。
Scand J Work Environ Health. 2018 May 1;44(3):323-329. doi: 10.5271/sjweh.3718. Epub 2018 Feb 27.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验