Department of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
BMC Musculoskelet Disord. 2011 Jan 25;12:23. doi: 10.1186/1471-2474-12-23.
Low back pain (LBP) is common among office workers and is the most common cause of work-related disability in people under 45 years of age. The aetiology of LBP is widely accepted to be multi-factorial. Prognostic research into office workers at risk of developing LBP has received limited attention. The aims of this study were to develop a risk score to identify office workers likely to have LBP and to evaluate its predictive power.
397 office workers filled out a self-administered questionnaire and underwent physical examination. The questionnaire gathered data on individual, work-related physical and psychosocial data as well as the presence of low back pain in the previous 4 weeks. The physical examination included measurement of body weight, height, waist circumference, hamstrings length, spinal scoliosis, spinal curve, Backache Index and lumbar stability. Logistic regression was used to select significant factors associated with LBP to build a risk score. The coefficients from the logistic regression model were transformed into the components of a risk score.
The model included six items: previous history of working as an office worker, years of work experience, continuous standing for >2 hrs/d, frequency of forward bending during work day, chair having lumbar support and Backache Index outcome. The risk score for LBP in office workers (The Back pain Risk score for Office Workers: The BROW) was built with a risk score ranging from 0 to 9. A cut-off score of ≥ 4 had a sensitivity of 80% and a specificity of 58%. The positive predictive value and negative predictive values were 70% each.
The BROW is easy and quick to administer. It appears to have reasonable sensitivity, specificity, positive predictive value and negative predictive values for the cut-off point of ≥ 4. The BROW is a promising tool for use to identify office workers in need of early interventions. Further prospective study is needed to validate the predictive performance of the BROW.
腰痛（LBP）在办公室工作人员中很常见，是 45 岁以下人群中与工作相关的残疾的最常见原因。腰痛的病因被广泛认为是多因素的。对有发生腰痛风险的办公室工作人员的预后研究受到的关注有限。本研究的目的是开发一种风险评分来识别可能患有腰痛的办公室工作人员，并评估其预测能力。
397 名办公室工作人员填写了一份自我管理问卷并接受了体检。问卷收集了个人、与工作相关的身体和心理社会数据以及在过去 4 周内腰痛的存在情况。体检包括测量体重、身高、腰围、腘绳肌长度、脊柱侧凸、脊柱曲线、腰痛指数和腰椎稳定性。使用逻辑回归选择与 LBP 相关的显著因素来构建风险评分。逻辑回归模型的系数被转化为风险评分的组成部分。
该模型包括六个项目：以前有办公室工作经历、工作年限、连续站立>2 小时/天、工作日向前弯曲的频率、椅子有腰部支撑和腰痛指数结果。办公室工作人员的腰痛风险评分（办公室工作人员腰痛风险评分：BROW）由 0 到 9 的风险评分组成。≥4 的截断分数的敏感性为 80%，特异性为 58%。阳性预测值和阴性预测值均为 70%。
BROW 易于管理且快速。对于≥4 的截断点，它似乎具有合理的敏感性、特异性、阳性预测值和阴性预测值。BROW 是一种很有前途的工具，可用于识别需要早期干预的办公室工作人员。需要进一步的前瞻性研究来验证 BROW 的预测性能。
