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预防医学  2025, Vol. 37 Issue (11): 1179-1183    DOI: 10.19485/j.cnki.issn2096-5087.2025.11.020
  健康教育 本期目录 | 过刊浏览 | 高级检索 |
六安市第三产业重点人群职业健康素养调查
刘磊1, 程婷婷1, 钱春生2, 黄瑞1, 李婷2, 唐昆1, 卫东2, 苏怡雯3, 李皓炜2, 李鹏飞1
1.六安市疾病预防控制中心,安徽 六安 237000;
2.舒城县疾病预防控制中心,安徽 舒城 231300;
3.蚌埠医科大学公共卫生学院,安徽 蚌埠 233030
Occupational health literacy among key populations in the tertiary industry in Lu'an City
LIU Lei1, CHENG Tingting1, QIAN Chunsheng2, HUANG Rui1, LI Ting2, TANG Kun1, WEI Dong2, SU Yiwen3, LI Haowei2, LI Pengfei1
1. Lu'an Center for Disease Control and Prevention, Lu'an, Anhui 237000, China;
2. Shucheng County Center for Disease Control and Prevention, Shucheng, Anhui 231300, China;
3. School of Public Health, Bengbu Medical University, Bengbu, Anhui 233030, China
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摘要 目的 了解安徽省六安市第三产业重点人群职业健康素养(OHL)水平及影响因素,为制定针对性的健康干预策略和完善区域职业健康政策提供依据。方法 于2024年8—9月,采用分层随机整群抽样方法抽取六安市5类第三产业重点人群为调查对象,采用《全国重点人群OHL监测调查个人问卷》收集性别、年龄、文化程度和OHL等资料,分析OHL水平;采用多因素logistic回归模型分析重点人群OHL水平的影响因素。结果 调查1 243人,其中男性700人,占56.32%;女性543人,占43.68%。年龄MQR)为42.00(17.00)岁。具备OHL 609人,OHL水平为48.99%;职业健康保护基本知识、健康工作方式和行为、职业健康法律知识和职业健康保护基本技能OHL水平分别为84.71%、60.34%、43.93%和37.09%。多因素logistic回归分析结果显示,文化程度(小学及以下,OR=0.149,95%CI:0.064~0.344;初中,OR=0.340,95%CI:0.184~0.629;高中,OR=0.408,95%CI:0.230~0.723)、个人月均收入(3 000~<5 000元,OR=1.655,95%CI:1.092~2.508;5 000~<7 000元,OR=2.195,95%CI:1.302~3.699;≥7 000元,OR=2.062,95%CI:1.016~4.183)、用人单位性质(民营企业,OR=2.992,95%CI:1.569~5.443)和产业类别(教育业,OR=3.423,95%CI:1.407~8.327;快递/外卖配送业,OR=0.459,95%CI:0.268~0.787;医疗卫生业,OR=7.539,95%CI:3.255~17.461)与重点人群OHL水平存在统计学关联。结论 六安市第三产业重点人群OHL水平可进一步提升,文化程度、个人月均收入、用人单位性质和产业类别是OHL水平的主要影响因素。
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刘磊
程婷婷
钱春生
黄瑞
李婷
唐昆
卫东
苏怡雯
李皓炜
李鹏飞
关键词 重点人群职业健康素养影响因素    
AbstractObjective To analyze the occupational health literacy (OHL) level and its influencing factors among key populations in the tertiary industry in Lu'an City, Anhui Province, so as to provide a basis for developing targeted health interventions and improving regional occupational health policies. Methods A stratified cluster random sampling method was employed to select five categories of key populations from the tertiary industry in Lu'an City as study subjects from August to September 2024. Data on gender, age, education level, and OHL were collected through the National OHL Monitoring Questionnaire for Key Populations. The OHL levels were analyzed, and influencing factors of OHL levels among key populations were analyzed using a multivariable logistic regression model. Results A total of 1 243 individuals were surveyed, comprising 700 (56.32%) males and 543 (43.68%) females. The median age was 42.00 (interquartile range, 17.00) years. There were 609 individuals with OHL, and the OHL level was 48.99%. The OHL levels in fundamental knowledge of occupational health protection, healthy work styles and behaviors, knowledge of occupational health laws, and basic skills for occupational health protection were 84.71%, 60.34%, 43.93%, and 37.09%, respectively. Multivariable logistic regression analysis showed that educational level (primary school and below, OR=0.149, 95%CI: 0.064-0.344; junior high school, OR=0.340, 95%CI: 0.184-0.629; high school, OR=0.408, 95%CI: 0.230-0.723), average monthly personal income (3 000-<5 000 yuan, OR=1.655, 95%CI: 1.092-2.508; 5 000-<7 000 yuan, OR=2.195, 95%CI: 1.302-3.699; ≥7 000 yuan, OR=2.062, 95%CI: 1.016-4.183), employer nature (private enterprises, OR=2.992, 95%CI: 1.569-5.443), and industry category (education, OR=3.423, 95%CI: 1.407-8.327; courier / food delivery services, OR=0.459, 95%CI: 0.268-0.787; healthcare, OR=7.539, 95%CI: 3.255-17.461) were statistically associated with the OHL level among key population. Conclusion The OHL level among key population in the tertiary industry of Lu'an City can be further enhanced, with educational level, average monthly personal income, employer nature, and industry category identified as the primary influencing factors.
Key wordskey population    occupational health literacy    influencing factor
收稿日期: 2025-07-10      修回日期: 2025-09-16     
中图分类号:  R135  
作者简介: 刘磊,本科,副主任医师,主要从事职业病防治工作,E-mail:llei@lacdc.com.cn
引用本文:   
刘磊, 程婷婷, 钱春生, 黄瑞, 李婷, 唐昆, 卫东, 苏怡雯, 李皓炜, 李鹏飞. 六安市第三产业重点人群职业健康素养调查[J]. 预防医学, 2025, 37(11): 1179-1183.
LIU Lei, CHENG Tingting, QIAN Chunsheng, HUANG Rui, LI Ting, TANG Kun, WEI Dong, SU Yiwen, LI Haowei, LI Pengfei. Occupational health literacy among key populations in the tertiary industry in Lu'an City. Preventive Medicine, 2025, 37(11): 1179-1183.
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http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.11.020      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I11/1179
[1] FRIEDRICH J,MÜNCH A K,THIEL A,et al.Occupational Health Literacy Scale(OHLS):development and validation of a domain-specific measuring instrument[J/OL].Health Promot Int,2023,38[2025-09-16].https://doi.org/10.1093/heapro/daac182.
[2] WANG J L,MO C B,SHENG Q J,et al.Association of length of service and job category with occupational health literacy of port employees in Shenzhen,China[J/OL].BMC Public Health,2023,23[2025-09-16].https://doi.org/10.1186/s12889-023-15769-7.
[3] 孙彦彦,孙新,万霞,等.我国2022年重点人群职业健康素养水平及其影响因素[J].中国职业医学,2023,50(3):241-247.
SUN Y Y,SUN X,WAN X,et al.Occupational health literacy level and its influencing factors among key populations in China in 2022[J].China Occup Med,2023,50(3):241-247.(in Chinese)
[4] 安徽省统计局.我省第三产业规模扩大质量提升[EB/OL].[2025-09-16].https://tjj.ah.gov.cn/public/6981/149921561.html.
[5] 国家统计局.中国居民及重点人群健康素养监测统计调查制度[EB/OL].[2025-09-16].https://www.stats.gov.cn/fw/bmdcxmsp/bmzd/202302/t20230215_1907197.html.
[6] 中国疾病预防控制中心职业卫生与中毒控制所.关于印发《2022年重点人群职业健康素养水平计算标准》的通知:中疾控职科便函〔2023〕5号[Z].北京:中国疾病预防控制中心职业卫生与中毒控制所,2021.
[7] 张新国,李晶鑫,马永志.安阳市2023年重点人群职业健康素养水平与影响因素分析[J].河南医学高等专科学校学报,2024,36(3):352-355.
ZHANG X G,LI J X,MA Y Z.Analysis of occupational health literacy levels and influencing factors of key populations in Anyang City in 2023[J].J Henan Med Coll,2024,36(3):352-355.(in Chinese)
[8] 谢巧妹,胡琼,胡迅嘉,等.安徽省十大重点行业人群职业健康素养水平及影响因素分析[J].职业卫生与应急救援,2025,43(1):31-36.
XIE Q M,HU Q,HU X J,et al.Occupational health literacy level and influencing factors of workers in ten key industries in Anhui Province[J].Occup Health Emerg Rescue,2025,43(1):31-36.(in Chinese)
[9] 陈强,郭震,朱玮,等.金华市重点人群职业健康素养调查[J].预防医学,2025,37(7):747-750,756.
CHEN Q,GUO Z,ZHU W,et al.Occupational health literacy among key populations in Jinhua City[J].China Prev Med J,2025,37(7):747-750,756.(in Chinese)
[10] 张文丽,张丽,胡在方,等.北京市某区制造业工人抑郁、焦虑症状调查[J].预防医学,2024,36(9):796-800.
ZHANG W L,ZHANG L,HU Z F,et al.Depression and anxiety symptoms among manufacturing workers in a district of Beijing Municipality[J].China Prev Med J,2024,36(9):796-800.(in Chinese)
[11] WANG D L,WANG Y,MA H F,et al.The effect of health literacy on health investment intention:a cross-sectional study among petrochemical employees in China[J/OL].Front Public Health,2024,12[2025-09-16].https://doi.org/10.3389/fpubh.2024.1358269.
[12] 何文蕾,杨军红,贺瑶瑶,等.贵州省2022年职业人群职业健康素养水平与影响因素分析[J].中国职业医学,2023,50(4):394-398,404.
HE W L,YANG J H,HE Y Y,et al.Analyzing the occupational health literacy and its influencing factors among occupational populations in Guizhou Province,2022[J].China Occup Med,2023,50(4):394-398,404.(in Chinese)
[13] 沙磊,刘海琴,宋琳萍,等.南通市企业劳动者职业健康素养水平及其影响因素研究[J].职业卫生与应急救援,2025,43(1):37-40.
SHA L,LIU H Q,SONG L P,et al.Occupational health literacy level and its influencing factors of enterprise workers in Nantong[J].Occup Health Emerg Rescue,2025,43(1):37-40.(in Chinese)
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