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自我报告变量作为装配线工人上肢肌肉骨骼症状的决定因素

Self-Reported Variables as Determinants of Upper Limb Musculoskeletal Symptoms in Assembly Line Workers.

作者信息

Guerreiro Marisa M, Serranheira Florentino, Cruz Eduardo B, Sousa-Uva António

机构信息

NOVA National School of Public Health, Occupational Health and Environmental Health Department, Universidade NOVA de Lisboa, Lisbon, Portugal.

NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Comprehensive Health Research Center (CHRC), Lisbon, Portugal.

出版信息

Saf Health Work. 2020 Dec;11(4):491-499. doi: 10.1016/j.shaw.2020.07.008. Epub 2020 Aug 7.

Abstract

BACKGROUND

Assembly lines work is frequently associated to work-related upper limb musculoskeletal disorders. The related disability and absenteeism make it important to implement efficient health surveillance systems. The main objective of this study was to identify self-reported variables that can determine work-related upper limb musculoskeletal symptoms-discomfort/pain-during a 6-month follow-up.

METHODS

This was a prospective study with a 6-month follow-up period, performed in an assembly line. Upper limb musculoskeletal discomfort/pain was assessed through the presence of self-reported symptoms. Uni- and multivariate logistic regression analyses were used to evaluate which self-reported variables were associated to upper limb symptoms after 6 months at the present and to upper limbs symptoms in the past month.

RESULTS

Of the 200 workers at baseline, 145 replied to the survey after 6 months. For both outcomes, "having upper limb symptoms during the previous 6 months" and "education" were possible predictors.

CONCLUSION

Our results suggest that having previous upper limb symptoms was related to its maintenance after 6 months, sustaining it as a specific determinant. It can be a hypothesis that this population had mainly workers with chronic symptoms, although our results give only limited support to self-reported indicators as determinants for upper limb symptoms. Nevertheless, the development of an efficient health surveillance system for high demanding jobs should implicate self-reported indicators, but also clinical and work conditions assessment should be accounted on the future.

摘要

背景

流水线工作常与工作相关的上肢肌肉骨骼疾病有关。相关的残疾和旷工情况使得实施有效的健康监测系统变得很重要。本研究的主要目的是确定在6个月的随访期间能够决定工作相关上肢肌肉骨骼症状(不适/疼痛)的自我报告变量。

方法

这是一项在流水线上进行的为期6个月随访期的前瞻性研究。通过自我报告症状的存在情况评估上肢肌肉骨骼不适/疼痛。采用单因素和多因素逻辑回归分析来评估哪些自我报告变量与6个月后目前的上肢症状以及过去一个月的上肢症状相关。

结果

在基线时的200名工人中,145人在6个月后回复了调查。对于“在过去6个月内有上肢症状”和“教育程度”这两个结果而言,它们均可能是预测因素。

结论

我们的结果表明,既往有上肢症状与6个月后症状持续存在有关,这支持将其作为一个特定决定因素。可以推测该人群主要是患有慢性症状的工人,但我们的结果仅为自我报告指标作为上肢症状的决定因素提供了有限支持。尽管如此,为高要求工作建立有效的健康监测系统应纳入自我报告指标,而且未来还应考虑临床和工作条件评估因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed48/7728709/c447dca47826/gr1.jpg

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