Computer Use and Musculoskeletal Disorders

描述：本提案中要解决的诺拉领域是职业病， 伤害优先研究，特别是上半身肌肉骨骼疾病 四肢。该提案的总体目标是增加对 影响上肢肌肉骨骼症状存活时间的因素， 在每周键控至少15小时的计算机用户中，到 为了实现这一目标，对先前的现有数据进行了额外的统计分析， 在一项影响UEMSD发病因素的大型前瞻性研究中收集 在计算机用户中，建议。 具体目标是： 1)制定计算机用户姿势和工作空间维度指数 并确定其预测UEMSD的能力，方法是（a）使用因子 分析以识别和描述身体姿势和工作站的组合 潜在地预测计算机用户中的UEMSD的维度，以及（B）使用 量化关联的存活分析方法（即，危害 比率）之间的姿势变量的组合和时间发作的 计算机用户中的UEMSD; 2)检查键控时间之间的线性关系的假设， 通过比较线性模型、阈值模型和其他模型的能力， 描述这些关联的统计模型;以及 3)描述UEMSD的性别特异性姿势和工作空间风险因素 在计算机用户中。 成功完成第一个目标将导致量化的 将姿势测量和/或办公室工作空间尺寸分开的方法 联合使用可增加或降低UEMSD的风险。成功 第二个目标的完成将促进对自然的认识， 时间键控和UEMSD发作之间的关联。成功完成 第三个目标将促进对观察到的性别问题的原因的了解， 计算机用户报告UEMSD的差异。

DESCRIPTION: The NORA area to be addressed in this proposal is Work Disease and Injury Priority Research, specifically Musculoskeletal Disorders of the Upper Extremities. The overall goal of the proposal is to add to knowledge of the factors affecting survival time to upper extremity musculoskeletal symptoms and disorders (UEMSDs) among computer users keying at least 15 hours per week. To achieve this goal, additional statistical analyses of existing data previously collected in a major prospective study of factors affecting the onset of UEMSDs among computer users are proposed. The specific aims are to: 1) Develop an index of postures and workspace dimensions among computer users and determine its ability to predict UEMSDs by (a) using the methods of factor analysis to identify and describe combinations of body postures and workstation dimensions potentially predictive of UEMSDs among computer users and (b) using the methods of survival analysis to quantify the associations (i.e., hazard ratios) between those combinations of posture variables and time to onset of UEMSDs among computer users; 2) examine the assumption of linear relationships between keying hours and UEMSDs by comparing the ability of linear models, threshold models and other statistical models to describe these associations; and 3) describe gender-specific postural and workspace risk factors for UEMSDs among computer users. Successful completion of the first aim will result in the quantification of the ways that separate postural measurements and/or office workspace dimensions work in combination to increase or decrease risk of UEMSDs. Successful completion of the second aim will advance knowledge of the nature of the association between hours keying and onset of UEMSDs. Successful completion of the third aim will advance knowledge of the causes of observed gender differences in the reporting of UEMSDs among computer users.