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基于Boruta算法和logistic回归模型的欧盟建筑业员工职业伤害影响因素分析

李志安 张林 张鹏 朱晓俊

环境与职业医学2025,Vol.42Issue(2):151-156,6.
环境与职业医学2025,Vol.42Issue(2):151-156,6.DOI:10.11836/JEOM24336

基于Boruta算法和logistic回归模型的欧盟建筑业员工职业伤害影响因素分析

Influencing factors of occupational injury in construction workers of European Union based on Boruta algorithm and logistic regression

李志安 1张林 1张鹏 2朱晓俊3

作者信息

  • 1. 广东药科大学公共卫生学院,广东 广州 510240
  • 2. 国家卫生健康委职业安全卫生研究中心,国家卫生健康委粉尘危害工程防护重点实验室,北京 102308
  • 3. 广东药科大学公共卫生学院,广东 广州 510240||国家卫生健康委职业安全卫生研究中心,国家卫生健康委粉尘危害工程防护重点实验室,北京 102308
  • 折叠

摘要

Abstract

[Background]Construction workers represent a high risk group for occupational injuries.Cur-rently,domestic and international studies examining the factors affecting occupational injuries among construction workers focus on demographic and behavioural characteristics.However,there is limited attention to psychosocial,use of digital technology,and health status of workers. [Objective]To analyze the occurrence of occupational injuries among workers in the construction industry,explore impacts of psychosocial risk,use of digital technology,health status,and pre-ventive measures at the workplace on occupational injuries,and provide a basis for the develop-ment of preventive measures. [Methods]Publicly available data from the European Union Occupational Safety and Health Ad-ministration were retrieved,comprising a sample of 2167 construction workers.The outcome indicator was the presence of occupational injuries among workers.A total of 25 variables in the dimensions of psychosocial risk,use of digital technology,health status,and preventive measures at the workplace were extracted after Chi-square test,and then a combination of Boruta's algo-rithm and logistic regression was applied to identify the key factors affecting occupational in-juries. [Results]Among the 2167 construction workers surveyed,182(8.6%)reported experiencing occupational injuries.The Boruta algorithm identified eight characteristics which in descending order of importance were musculoskeletal disorders,job type,depression and anxi-ety,level of completed education,use of electronic smart products,timely solution of safety problems,overall fatigue,and age.The logistic regression results indicated that six variables had statistically significant effects on occupational injuries:age,job type,level of completed education,musculoskeletal disorders,overall fatigue,and timely solution of safety problems(P<0.05). [Conclusion]Occupational injuries in construction workers are influenced by a variety of factors,including age,job type,level of completed education,musculoskeletal disorders,overall fatigue,and timely solution of safety problems.Companies and workers should take targeted measures to reduce the incidence of occupational injuries.

关键词

建筑业员工/职业伤害/影响因素/Boruta算法/logistic回归

Key words

construction worker/occupational injury/influencing factor/Boruta algorithm/logistic regression

分类

预防医学

引用本文复制引用

李志安,张林,张鹏,朱晓俊..基于Boruta算法和logistic回归模型的欧盟建筑业员工职业伤害影响因素分析[J].环境与职业医学,2025,42(2):151-156,6.

环境与职业医学

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