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Functional recovery following musculoskeletal injury in hospital workers

机译:医院工作人员肌肉骨骼损伤后的功能恢复

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摘要

>Background Hospital workers are at high risk of work-related musculoskeletal disorders (WRMSDs), but outcomes following such injuries have not been well studied longitudinally.>Aims To ascertain functional recovery in hospital workers following incident WRMSDs and identify predictors of functional status.>Methods Cases (incident WRMSD) and matched referents from two hospitals were studied at baseline and at 2 year follow-up for health status [SF-12 physical component summary (PCS)], lost workdays, self-rated work effectiveness and work status change (job change or work cessation). Predictors included WRMSD and baseline demographics, socio-economic status (SES), job-related strain and effort–reward imbalance. Logistic regression analysis tested longitudinal predictors of adverse functional status.>Results The WRMSD-associated risk of poor (lowest quartile) PCS was attenuated from a baseline odds ratio (OR) of 5.2 [95% confidence interval (CI) 3.5–7.5] to a follow-up OR of 1.5 (95% CI 1.0–2.3) and was reduced further in multivariate modelling (OR = 1.4; 95% CI 0.9–2.2). At follow-up, WRMSD status did not predict significantly increased likelihood of lost workdays, decreased effectiveness or work status change. In multivariate modelling, lowest quintile SES predicted poor PCS (OR = 2.0; 95% CI 1.0–4.0) and work status change (OR = 2.5; 95% CI 1.1–5.8). High combined baseline job strain/effort–reward imbalance predicted poor PCS (OR = 1.7; 95% CI 1.1–2.7) and reduced work effectiveness (OR = 2.6; 95% CI 1.6–4.2) at follow-up.>Conclusions Baseline functional deficits associated with incident WRMSDs were largely resolved by 2 year follow-up. Nonetheless, lower SES and higher combined job strain/effort–reward imbalance predicted adverse outcomes, controlling for WRMSDs.
机译:>背景医院工作人员面临与工作相关的肌肉骨骼疾病(WRMSD)的高风险,但对此类损伤后的结局尚未进行充分的纵向研究。>目的为了确定医院的功能恢复>方法,在基线和随访2年时对来自两家医院的病例(事件WRMSD)和相匹配的被访者的健康状况进行了研究[SF-12身体成分摘要(PCS)],工作日损失,自我评估的工作效率和工作状态变化(工作变动或停止工作)。预测因素包括WRMSD和基线人口统计数据,社会经济状况(SES),与工作有关的压力以及努力-奖赏失衡。 Logistic回归分析测试了不良功能状态的纵向预测因素。>结果与WRMSD相关的不良(最低四分位数)PCS风险从基准比值比(OR)5.2 [95%置信区间(CI) )(3.5–7.5)至随访OR为1.5(95%CI 1.0–2.3),并在多变量建模中进一步降低(OR = 1.4; 95%CI 0.9–2.2)。在随访中,WRMSD的状态并不能预测工作日丢失,有效性下降或工作状态变化的可能性显着增加。在多变量建模中,最低的五分位数SES预测PCS较差(OR = 2.0; 95%CI 1.0-4.0)和工作状态变化(OR = 2.5; 95%CI 1.1-5.8)。基线工作压力/努力-报酬-奖励不平衡的高组合预测随访时PCS较差(OR = 1.7; 95%CI 1.1-2.7),工作效率降低(OR = 2.6; 95%CI 1.6-4.2)。>结论与事件WRMSD相关的基线功能缺陷在2年的随访中得到了解决。尽管如此,较低的SES和较高的综合工作压力/努力-奖赏不平衡预测了不良后果,可控制WRMSD。

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