Lei Zheng1, Na Zhao2, Dingyan Chen3, Meirong Hu4, Xianghua Fu5, Lorann Stallones6, Huiyun Xiang7, Zengzhen Wang8. 1. Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Anhui Institute of Geriatrics, Ma Anshan 243011, China. Electronic address: mastjmuzl@gmail.com. 2. Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: zn0794@163.com. 3. Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China. Electronic address: chendyan@gmail.com. 4. Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: mymy1212@163.com. 5. Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: fuxianghua202@sina.com. 6. Colorado Injury Control Research Center, Department of Psychology, Colorado State University, Fort Collins, CO 80526, USA. Electronic address: Lorann.Stallones@ColoState.EDU. 7. Center for Injury Research & Policy, Columbus Children's Research Institute, Columbus, OH 43205, USA. Electronic address: Huiyun.Xiang@nationwidechildrens.org. 8. Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: wzzh@mails.tjmu.edu.cn.
Abstract
PURPOSE: To identify the annual prevalence and potential risk factors of nonfatal agricultural machinery injuries among agricultural machinery operators in the northern areas of China. METHODS: A quota sampling method was used to study 1921 agricultural machinery operators in 5 provinces in northern China. Agricultural machinery injuries that occurred between July 1, 2008, and June 30, 2009 were investigated. Data on nonfatal injuries and related factors were obtained by in-person interviews. RESULTS: The prevalence of agricultural machinery-related injuries among the surveyed operators was 13.1%. Being male, having lower family income and/or poor hearing, being in debt, and feeling stressed were five significant risk factors for injuries. The majority of injuries took place on farmlands (46.6%), roads (26.3%), or in backyards (17.5%). The four most common causes of injuries were being stuck by starting handles that slipped, being slashed or stabbed by sharp objects, being struck by falling objects, and falls from stationary vehicles. CONCLUSIONS: The prevalence of agricultural machinery-related injuries in our study was high. Males, low family income, poor hearing, and stress were associated with high risk of injury occurrence.
PURPOSE: To identify the annual prevalence and potential risk factors of nonfatal agricultural machinery injuries among agricultural machinery operators in the northern areas of China. METHODS: A quota sampling method was used to study 1921 agricultural machinery operators in 5 provinces in northern China. Agricultural machinery injuries that occurred between July 1, 2008, and June 30, 2009 were investigated. Data on nonfatal injuries and related factors were obtained by in-person interviews. RESULTS: The prevalence of agricultural machinery-related injuries among the surveyed operators was 13.1%. Being male, having lower family income and/or poor hearing, being in debt, and feeling stressed were five significant risk factors for injuries. The majority of injuries took place on farmlands (46.6%), roads (26.3%), or in backyards (17.5%). The four most common causes of injuries were being stuck by starting handles that slipped, being slashed or stabbed by sharp objects, being struck by falling objects, and falls from stationary vehicles. CONCLUSIONS: The prevalence of agricultural machinery-related injuries in our study was high. Males, low family income, poor hearing, and stress were associated with high risk of injury occurrence.
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