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 

机构地区：[1]Department of Occupational and Environmental Health, School of Public Health, Peking University, Beo'ing 100191, China [2]School of Public Health, Tongji Medical Collage, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China [3]Administration Department, Henan Provincial Institute of Occupational Health, Zhengzhou 450052, Henan, China [4]Injury Prevention Research Center, Medical College of Shantou University, Shantou 515041, Guangdong, China [5]Beijing Centers for Disease Control and Prevention, Beo'ing 100020, China [6]Beijing Municipal Institute of Labor Protection, Beijing 100054, China

出　　处：《Biomedical and Environmental Sciences》2012年第4期421-429,共9页生物医学与环境科学（英文版）

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

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.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.

关 键 词：Case-control studies Low back pain Occupational health Risk factors 

分 类 号：O212.1[理学—概率论与数理统计] X591[理学—数学]