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The NIOSH Lifting Equation and Low-Back Pain, Part 2: Association With Seeking Care in the BackWorks Prospective Cohort Study

机译:NIOSH抬升方程式和腰痛,第2部分:BackWorks前瞻性队列研究中与寻求护理的关联

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Objective: The aim of this study was to investigate the relationship between the revised NIOSH lifting equation (RNLE) and risk of seeking care for low-back pain (SC-LBP). Background: The RNLE is commonly used to quantify low-back physical stressors from lifting/lowering of loads in workplaces. There is no prospective study on relationship between RNLE and SC-LBP. Method: A cohort of 258 incident-eligible workers from 30 diverse facilities was followed for up to 4.5 years. Job physical exposures were individually measured.Worker demographics, medical history, psychosocial factors, hobbies, and current low-back pain were obtained at baseline. The cohort was followed monthly to ascertain SC-LBP and quarterly to determine changes in physical exposure.Associations between SC-LBP and both the peak lifting index (PLI) and peak composite lifting index (PCLI) were tested in multivariate models using proportional hazards regression. Results: SC-LBP lifetime prevalence at baseline was 31.9%, and there were 24 incident cases during follow-up. Factors predicting SC-LBP included job physical exposure (PLI and PCLI), history of low-back pain, age, female gender, and lower body mass index. In adjusted models, risk (hazard ratio [HR]) increased per unit increase in PLI and PCLI (p = .03 and .02, and maximum HR = 23.0 and 21.9, respectively).Whereas PCLI suggested a continuous increase in risk with an increase in PCLI, the PLI showed elevated, though somewhat reduced, risk at higher exposures (HR = 14.9 at PLI = 6). Conclusion: Job physical stressors are associated with increased risk of SC-LBP Data suggest that both the PLI and PCLI are useful metrics for estimating exposure to job physical stressors.
机译:目的:本研究的目的是研究修订的NIOSH抬高方程(RNLE)与寻求治疗下腰痛的风险(SC-LBP)之间的关系。背景:RNLE通常用于量化工作场所负荷的提升/降低引起的腰背物理压力源。 RNLE与SC-LBP之间的关系尚无前瞻性研究。方法:对来自30个不同机构的258名符合事件资格的工人进行了长达4.5年的跟踪研究。分别测量工作的身体暴露量,在基线时获得工人的人口统计学,病史,社会心理因素,爱好和当前的腰背痛。每月随访该队列以确定SC-LBP,每季度确定一次物理暴露的变化。使用比例风险回归在多变量模型中测试了SC-LBP与峰值提升指数(PLI)和峰值复合提升指数(PCLI)的关联。结果:基线时SC-LBP的终生患病率为31.9%,随访期间有24例事件。预测SC-LBP的因素包括工作身体暴露(PLI和PCLI),下背部疼痛的病史,年龄,女性和较低的体重指数。在调整后的模型中,PLI和PCLI每增加1单位,风险(危险比[HR])增加(p分别为.03和.02,最大HR分别为23.0和21.9)。如果PCLI升高,则PLI在较高暴露下显示出较高的风险(尽管有所降低)(PLI = 6时HR = 14.9)。结论:工作压力源与SC-LBP风险增加相关。数据表明,PLI和PCLI都是评估工作压力源暴露的有用指标。

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