Janwantanakul Prawit, Sihawong Rattaporn, Sitthipornvorakul Ekalak, Paksaichol Arpalak
Department of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
BMC Musculoskelet Disord. 2015 Oct 14;16:298. doi: 10.1186/s12891-015-0768-y.
Having a screening tool with reasonable predictive ability is essential in providing information about an individual's risk of developing a disease, allowing an examination to be conducted with limited personnel and time, and selecting the relevant individuals for therapeutic research. This study aimed to produce a screening tool to identify office workers at risk of developing non-specific low back pain (LBP) with disability, and to evaluate the tool's predictive power.
At baseline, 615 healthy office workers filled out a self-administered questionnaire and underwent physical examination to gather potential risk factors. The incidence of LBP was collected every month thereafter. Disability level was assessed using the Roland-Morris Disability Questionnaire (RMDQ). The minimum RMDQ score for categorization as LBP was 3. Logistic regression was used to select significant factors to build a risk score. The coefficients from the logistic regression model were used to develop the components of a screening tool.
Over the 1-year follow-up, 8.8 % of participants reported incident LBP with disability. The screening tool for non-specific low back pain with disability in office workers comprised two items that contributed to the total score: previous history of LBP and psychological demand (assessed by the Job Content Questionnaire). The score range of the screening tool was 12 to 69. With a cut-off score of 53, the sensitivity was 65 % and the specificity was 68 %. The positive and negative predictive values were 16 and 95 %, respectively. The area under the receiver-operating characteristic curve was 0.76.
A screening tool for non-specific low back pain with disability in office workers was developed and appears to have reasonable sensitivity, specificity, positive predictive values, and negative predictive values. Further validation and impact studies of the screening tool in a new population of office workers are suggested.
拥有一个具有合理预测能力的筛查工具对于提供个体患某种疾病风险的信息、在人员和时间有限的情况下进行检查以及选择相关个体进行治疗研究至关重要。本研究旨在制作一种筛查工具，以识别有发展为伴有残疾的非特异性下腰痛（LBP）风险的上班族，并评估该工具的预测能力。
在基线时，615名健康上班族填写了一份自填式问卷，并接受了体格检查以收集潜在风险因素。此后每月收集LBP的发病率。使用罗兰 - 莫里斯残疾问卷（RMDQ）评估残疾程度。归类为LBP的最低RMDQ分数为3分。采用逻辑回归选择显著因素以构建风险评分。逻辑回归模型的系数用于开发筛查工具的组成部分。
在1年的随访中，8.8%的参与者报告了伴有残疾的新发LBP。上班族伴有残疾的非特异性下腰痛筛查工具由两项构成总分：LBP既往史和心理需求（通过工作内容问卷评估）。筛查工具的分数范围为12至69分。截断分数为53分时，敏感性为65%，特异性为68%。阳性预测值和阴性预测值分别为16%和95%。受试者工作特征曲线下面积为0.76。
开发了一种上班族伴有残疾的非特异性下腰痛筛查工具，该工具似乎具有合理的敏感性、特异性、阳性预测值和阴性预测值。建议在新的上班族人群中对该筛查工具进行进一步验证和影响研究。
