Risk Factors of Low Back Pain among the Chinese Occupational Population:A Case-control Study

作     者：LI Jing Yun WANG Sheng HE Li Hua WU Shan Shan YANG Lei YU Shan Fa LI Li Ping WANG Jian Xin HUANG Yan Di LI Jing Yun;WANG Sheng;HE Li Hua;WU Shan Shan;YANG Lei;YU Shan Fa;LI Li Ping;WANG Jian Xin;HUANG Yan Di

作者机构：Department of Occupational and Environmental Health School of Public Health Peking University Beo'ing 100191 China School of Public Health Tongji Medical Collage Huazhong University of Science and Technology Wuhan 430030 Hubei China Administration Department Henan Provincial Institute of Occupational Health Zhengzhou 450052 Henan China Injury Prevention Research Center Medical College of Shantou University Shantou 515041 Guangdong China Beijing Centers for Disease Control and Prevention Beo'ing 100020 China Beijing Municipal Institute of Labor Protection Beijing 100054 China 

出 版 物：《Biomedical and Environmental Sciences》 (生物医学与环境科学（英文版）)

年 卷 期：2012年第25卷第4期

页      面：421-429页

核心收录：

学科分类：02[经济学] 07[理学] 08[工学] 09[农学] 070103[理学-概率论与数理统计] 083002[工学-环境工程] 0202[经济学-应用经济学] 020208[经济学-统计学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0903[农学-农业资源与环境] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 0713[理学-生态学] 

基　　金：supported by the Research Fund from National Science and Technology Infrastructure Program of the People's Republic of China  2006BA106B08 

主　　题：Case-control studies Low back pain Occupational health Risk factors 

摘      要：Objective To explore the risk factors of low back pain among the Chinese occupational population in several major industries. Methods A total of 7200 subjects （3600 cases and 3600 controls） were randomly sampled from a cross-sectional study, and they were investigated for individual and occupational factors of low back pain. The potential risk factors were first selected by using chi-square tests. Secondly, collinearity diagnosis proceeded by using the Kendall＇s rank correlation. Finally, binary logistic regression model was used for multi-factor analysis. Results Collinearity diagnosis showed that there was a severe collinearity problem among the potential risk factors of low back pain. Logistic regression model included 20 variables with statistical significance. Bending neck forward or holding neck in a forward posturefor long periods （0R=1.408） was the most important risk factor inducing low back pain in this study, followed by bending heavily with the trunk （0R=1.402）, carrying out identical work almost for the whole day （0R=1.340）. Additionally, suHicient normal break was a protective factor of low back pain. Conclusion Low back pain among the Chinese occupational population was associated with body height, occupation, work organization, physical work, working posture, and others. All these risk factors could be regarded as the indicators of low back pain, and some relevant preventive measures should be taken to reduce low back pain risk.