Abstract：Objective To investigate the prevalence of occupational injury and identify its influencing factors among workers in a steel enterprise in Gansu Province, so as to provide insights into prevention of occupational injury among steel workers. Methods Workers were sampled from a steel enterprise in Gansu Province using a cluster sampling method from January to March 2022, and participants' demographics, occupational history and occupational injury were collected using questionnaire surveys. The type of job and site and type of injury were analyzed among workers with occupational injuries, and factors affecting workers' occupational injuries were identified using a multivariable logistic regression model. Results A total of 12 089 questionnaires were allocated and 10 725 valid questionnaires were recovered, with an effective recovery rate of 88.71%. The respondents included 9 412 males (87.77%) and 1 312 females (12.23%), and had a median age of 36.00 (interquartile range, 15.00) years. Junior college and above was the predominant educational level (6 056 workers, 56.47%), and the respondents had a median length of service of 10 (interquartile range, 11) years. The prevalence of occupational injury was 5.25% among respondents. Overhaul worker was the main type of job (11.90%), and object strike was the predominant type of occupational injury (18.25%), while the lower limb was the predominant site of injury (27.82%). Multivariable logistic regression analysis identified men (OR=2.464, 95%CI: 1.580-3.843), age (30 to 39 years, OR=2.561, 95%CI: 1.643-3.993; 40 to 49 years, OR=5.197, 95%CI: 2.679-10.079; 50 years and older, OR=10.620, 95%CI: 6.788-16.615), exposure to high temperature (OR=1.400, 95%CI: 1.165-1.683), operating equipment failure (OR=1.291, 95%CI: 1.048-1.591), absence of personal safety protection equipment (OR=1.555, 95%CI: 1.064-2.273) and safety behavior scores (OR=0.967, 95%CI: 0.937-0.996) as factors affecting occupational injuries among workers in a steel enterprise. Conclusions Men and overhaul workers are at a high risk of occupational injuries in this steel enterprise. Objectstrike is the predominant type of injury and lower limb is the main site of injury. The risk of occupational injuries is affected by gender, age, working environments, equipment status and safety behaviors.
[1] 邬堂春. 职业卫生与职业医学:第8版[M].北京:人民卫生出版社,2017:322-324. [2] International Labour Organization.Quick guide on sources and uses of statistics on occupational safety and health[EB/OL].[2023-10-27].https://www.ilo.org/global/statistics-and-databases/publications/WCMS_759401/lang--en/index.htm. [3] RAJAK R,CHATTOPADHYAY A,MAURYA P.Accidents and injuries in workers of iron and steel industry in West Bengal,India:prevalence and associated risk factors[J].Int J Occup Saf Ergon,2022,28(4):2533-2540. [4] 中国钢铁新闻网.世界钢协发布行业安全与职业健康数据报告(2023)[EB/OL].[2023-10-27].http://www.csteelnews.com/xwzx/gjgt/202305/t20230526_75146.html. [5] 中华人民共和国国家标准局.企业职工伤亡事故分类标准:GB 6441—86[S].1986. [6] 胡伟江,周安寿.某钢铁企业非致死性职业伤害流行病学调查[J].中国职业医学,2010,37(1):29-31. [7] 谢晶,白梅,杨莉,等.某钢铁厂1998—2008年职业伤害危险因素分析[J].环境与职业医学,2015,32(7):630-636. [8] 中华人民共和国中央人民政府.人社部等八部门印发工伤预防五年行动计划(2021—2025年)[EB/OL].[2023-10-27].https://www.gov.cn/xinwen/2021-01/23/content_5582060.html. [9] 张琳. 1975至2015年徐州铁路职业伤害流行病学研究[J].中华劳动卫生职业病杂志,2016,34(8):586-590. [10] REY-MERCHÁN M D C,LÓPEZ-ARQUILLOS A.Organizational and personal factors in occupational traffic injuries at work in Spain[J].Traffic Inj Prev,2021,22(7):519-523. [11] 李雪,王力民,张宁,等.2008—2017年乌鲁木齐铁路局职业伤害流行病学特征分析[J].现代预防医学,2018,45(17):3107-3110,3117. [12] 雷林,周海滨,彭绩.2012—2016年深圳急门诊职业伤害病例特征分析[J].伤害医学(电子版),2017,6(3):47-51. [13] 鲁京浦. 2006—2010年胜利油田职业伤害流行病学特征分析[J].中国职业医学,2015,42(4):476-480. [14] MULUGETA H,BIRILE A,KETEMA H,et al.Non-fatal occupational injury prevalence and associated factors in an integrated large-scale textile industry in Addis Ababa,Ethiopia[J/OL].Int J Environ Res Public Health,2022,19(6)[2023-10-27].https://doi.org/10.3390/ijerph19063688. [15] LIAO C W,CHIANG T L.Occupational injuries among non-standard workers in the Taiwan construction industry[J].J Safety Res,2022,82:301-313. [16] EBI K L,CAPON A,BERRY P,et al.Hot weather and heat extremes:health risks[J].Lancet,2021,398(10301):698-708. [17] 李向文,王永斌,刘启玲,等.噪声和高温职业暴露与高血压的关系研究[J].预防医学,2019,31(12):1189-1192,1199. [18] 王力民,李雪,尹建刚.铁及其化合物粉尘职业暴露与呼吸系统损害[J].预防医学,2016,28(2):145-147,151. [19] DAS B.Assessment of ergonomic exposure,work-related occupational injuries,and prevention:child work in the brickfield industry in India[J].Toxicol Ind Health,2021,37(8):481-495. [20] WIN K N,TRIVEDI A,LAI A,et al.Non-fatal occupational accidents in Brunei Darussalam[J].Ind Health,2021,59(3):193-200.
