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

• Published in: Biomedical and environmental sciences Vol. 25; no. 4; pp. 421 - 429
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: China Elsevier B.V 01.08.2012; Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 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,Beijing 100020, China%Beijing Municipal Institute of Labor Protection, Beijing 100054, China
• Subjects: Adolescent; Adult; Case-control studies; China - epidemiology; Cross-Sectional Studies; Female; Humans; Logistic回归模型; Low back pain; Low Back Pain - epidemiology; Male; Occupational health; Occupations; Posture; Risk Factors; Young Adult; 中国; 共线性问题; 危险因素; 多因素分析; 病例; 职业人群; 风险因素; China; Case-control studies; Occupational health; Low back pain; Risk factors
• ISSN: 0895-3988; 2214-0190
• DOI: 10.3967/0895-3988.2012.04.007

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.