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作 者:朱晓俊 谷一硕 樊晶光 ZHU Xiaojun;GU Yishuo;FAN Jingguang(National Center for Occupational Safety and Health,National Health Commission of the People's Republic of China,NHC Key Laboratory for Engineering Control of Dust Hazard,Beijing 102308,China)
机构地区:[1]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
出 处:《环境与职业医学》2025年第2期127-132,共6页Journal of Environmental and Occupational Medicine
摘 要:劳动者在职业生命周期,可能面临职业伤害、职业病、工作相关疾病等多种健康问题的侵袭,如何全方位保障劳动者健康是亟须解决的关键科学问题。劳动者在职业活动中呈现出多种职业危险因素复杂暴露或多种疾病共存的特点,职业伤害与职业病、工作相关疾病存在紧密关联。在大卫生大健康背景下开展职业伤害防控,应进一步增强系统观念,突出“全过程”和“全方位”,即建立健全覆盖监测-评估-干预及干预效果评价全过程的职业伤害监测体系,并构建职业伤害与职业病、工作相关疾病联防联控策略,助推在政府、社会、用人单位、劳动者等多个层面开展高效集约化健康管理,努力实现全方位保障劳动者健康。在探讨职业倦怠、职业紧张、共病等因素对职业伤害的可能影响时,引入机器学习方法,为开展职业伤害影响因素的识别分析及作用机制探讨提供了新的分析思路。During the career life cycle,workers may face various health problems such as occupational injuries,occupational diseases,and work-related diseases.How to comprehensively protect the health of workers is a crucial scientific issue that needs to be solved urgently.Workers show the characteristics of co-exposure to multiple occupational risks or co-existence of multiple health conditions in their occupational activities.Occupational injuries are closely related to occupational diseases and work-related diseases.To carry out prevention and control of occupational injuries in the context of"big health",we should further strengthen the systematic approach and highlight the concept of"overall process"and"all-round".That is to establish an occupational injury surveillance system covering the whole process of surveillance-assessment-intervention and the evaluation of intervention effects,and to set up the joint prevention and control strategy of occupational injuries,occupational diseases,and work-related diseases.This will promote the implementation of efficient and intensive health management at government,society,employers,workers and other levels to achieve all-round protection of workers'health.When exploring the possible effects of job burnout,occupational stress,comorbidity,and other factors on occupational injuries,the introduction of machine learning methods provides a new approach to identifying and analyzing the influencing factors of occupational injuries and to exploring potential underlying mechanisms.
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