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The NIOSH Lifting Equation and Low-Back Pain, Part 1: Association With Low-Back Pain in the BackWorks Prospective Cohort Study

机译:NIOSH抬升方程式和下腰痛,第1部分:BackWorks前瞻性队列研究中与下腰痛的关联

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Objective: The aim of this study was to evaluate relationships between the revised NIOSH lifting equation (RNLE) and risk of low-back pain (LBP). Background: The RNLE is commonly used to quantify job physical stressors to the low back from lifting and/or lowering of loads. There is no prospective study on the relationship between RNLE and LBP that includes accounting for relevant covariates. 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 LBP were obtained at baseline. The cohort was followed monthly to ascertain development of LBP and quarterly to determine changes in job physical exposure. The relationship between LBP and peak lifting index (PLI) and peak composite lifting index (PCLI) were tested in multivariate models using proportional hazards regression. Results: Point and lifetime prevalences of LBP at baseline were 7.1 % and 75.1%, respectively. During follow-up, there were 123 incident LBP cases. Factors predicting development of LBP included job physical exposure (PLI and PCLI), history of LBP, psychosocial factors, and housework. In adjusted models, risk (hazard ratio [HR]) increased per-unit increase in PLI and PCLI (p = .05 and .02; maximum HR = 4.3 and 4.2, respectively). PLI suggested a continuous increase in risk with an increase in PLI, whereas the PCLI showed elevated, but somewhat reduced, risk at higher exposures. Conclusion: Job physical stressors are associated with increased risk of LBP. Data suggest that the PLI and PCLI are useful metrics for estimating exposure to job physical stressors.
机译:目的:本研究的目的是评估修订的NIOSH抬高方程(RNLE)与下腰痛风险(LBP)之间的关系。背景:RNLE通常用于量化工作物理压力源于提升和/或降低负荷所导致的腰背压力。目前尚无关于RNLE与LBP之间关系的前瞻性研究,包括相关协变量的解释。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情况,并在基线获得工作人员的人口统计学,病史,社会心理因素,爱好和当前的LBP。每月随访该队列以确定LBP的发展,每季度跟踪一次以确定工作身体暴露的变化。使用比例风险回归在多变量模型中测试了LBP与峰值提升指数(PLI)和峰值复合提升指数(PCLI)之间的关系。结果:基线时LBP的点和终生患病率分别为7.1%和75.1%。在随访期间,有123起LBP事件。预测LBP发展的因素包括工作中的身体暴露(PLI和PCLI),LBP的病史,社会心理因素和家务劳动。在调整后的模型中,单位PLI和PCLI的风险(风险比[HR])增加(p = .05和.02;最大HR分别为4.3和4.2)。 PLI提示随着PLI的增加,风险不断增加,而PCLI在较高的暴露水平下显示出升高的风险,但有所降低。结论:工作压力源与LBP风险增加有关。数据表明,PLI和PCLI是评估工作物理压力源暴露的有用指标。

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