Article(id=1281616701695431136, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.02.0322, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757952000000, receivedDateStr=2025-09-16, revisedDate=1763568000000, revisedDateStr=2025-11-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1783490832970, onlineDateStr=2026-07-08, pubDate=1772208000000, pubDateStr=2026-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783490832970, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783490832970, creator=13701087609, updateTime=1783490832970, updator=13701087609, issue=Issue{id=1281616655499366465, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='2', pageStart='1', pageEnd='270', issueExtLink='null', onlineDate='null', pubDate='1772208000000', pubDateStr='2026-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783490821957, creator='13701087609', updateTime=1783588693138, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027157069218127, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027157069218128, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=235, endPage=243, ext={EN=ArticleExt(id=1281616701900952033, articleId=1281616701695431136, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Path analysis of negative emotions in high-noise-exposed male workers based on Bayesian network models, columnId=1149735805633081985, journalTitle=China Safety Science Journal, columnName=Occupational Health, runingTitle=null, highlight=null, articleAbstract=

In order to explore the influencing pathways of negative emotions among occupational noise-exposed workers, 493 male workers with high noise exposure from five typical manufacturing enterprises were recruited as subjects. Data were collected through occupational health surveys, noise measurements, and psychological scales. Key variables, including age, cumulative noise exposure (CNE), marital status, and nine other factors, were screened using the least absolute shrinkage and selection operator (LASSO) regression, based on which a Bayesian network model was constructed. The results showed that the detection rate of negative emotions among male workers was 5.7%, with an average noise exposure level of 91.5 dB(A). The model identified multiple influencing pathways, and their probability distributions varied across age groups: in the <30 years group, the pathway "age → marital status → negative emotions" was predominant (16.4%); in the 30-39 years group, the direct pathway "age → negative emotions" was most prominent (30.6%); while in the ≥40 years group, the pathway "age → CNE → negative emotions" was dominant (21.5%-29.4%). Moreover, the high CNE group generally exhibited a higher probability of negative emotions than the medium exposure group. The study indicates that negative emotions among male workers under high noise exposure are interactively influenced by factors such as age, CNE, smoking, drinking, and marital status. The Bayesian network model effectively reveals these complex pathway relationships.

, authors=Xinyun DUAN¹, Linyue LI¹, Jingxuan MA¹, Yongwei WANG^{**, 1, 2, 3}, authorsList=Xinyun DUAN, Linyue LI, Jingxuan MA, Yongwei WANG, authorCompany=null, correspAuthors=Yongwei WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281616702601400804, articleId=1281616701695431136, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于贝叶斯网络的男职工噪声暴露与负性情绪路径分析, columnId=1281608104106242978, journalTitle=中国安全科学学报, columnName=职业健康, runingTitle=null, highlight=null, articleAbstract=

为探究职业噪声暴露人员负性情绪的影响路径，首先以5家典型制造业中493名高噪声暴露男职工作为研究对象，通过职业卫生调查、噪声测定及心理量表收集数据；然后采用最小绝对收缩和选择算子（LASSO）回归筛选出年龄、累积噪声暴露（CNE）、婚姻状况等9个关键变量，并据此构建贝叶斯网络模型。结果显示，男职工负性情绪检出率为5.7%，平均噪声暴露水平为91.5 dB（A）；模型识别出多条影响路径，其概率分布存在年龄差异：<30岁组以“年龄→婚姻状况→负性情绪”为主（16.4%），30~39岁组以“年龄→负性情绪”为主（30.6%），而≥40岁组则以“年龄→CNE→负性情绪”为主（21.5%~29.4%），且高CNE组负性情绪发生概率普遍高于中暴露组。研究表明：高噪声暴露下男职工的负性情绪产生受年龄、CNE、吸烟、饮酒及婚姻状况等因素交互影响，贝叶斯网络能有效揭示其复杂路径关系。

, authors=段昕昀¹, 李林玥¹, 马景璇¹, 王永伟主任医师^{**, 1, 2, 3}, authorsList=段昕昀, 李林玥, 马景璇, 王永伟主任医师, authorCompany=null, correspAuthors=王永伟主任医师, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=xNb+XUlDGQVpi8SPdw8jdA==, magXml=Gs4OlxhaAVBCC0Ewq+SgcA==, pdfUrl=null, pdf=MAuvleBd5eHt0oE8JquJCw==, pdfFileSize=2485547, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=gzVlRiAMjTkt1deMho8RnQ==, mapNumber=null, fund=null)}, authors=[Author(id=1281616704681775599, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616701695431136, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=duanxy0609@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281616704765661681, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616701695431136, authorId=1281616704681775599, language=EN, stringName=Xinyun DUAN, firstName=Xinyun, middleName=null, lastName=DUAN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan 610041, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281616704836964850, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616701695431136, authorId=1281616704681775599, language=CN, stringName=段昕昀, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹四川大学 华西公共卫生学院（华西第四医院），四川 成都 610041, bio={"content":"

段昕昀（1999—），男，四川广安人，硕士研究生，研究方向为职业中毒与职业流行病学。E-mail:duanxy0609@163.com。

"}, bioImg=null, bioContent=

段昕昀（1999—），男，四川广安人，硕士研究生，研究方向为职业中毒与职业流行病学。E-mail:duanxy0609@163.com。

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