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Long-term exposure to heavy physical work, disability pension due to musculoskeletal disorders and all-cause mortality: 20-year follow-up-introducing Helsinki Health Study job exposure matrix.长期暴露于重体力劳动、因肌肉骨骼疾病导致的残疾抚恤金和全因死亡率:20 年随访——引入赫尔辛基健康研究职业暴露矩阵。
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J Rheumatol. 2008 Aug;35(8):1645-9. Epub 2008 Jul 1.
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Long-term effects of biomechanical exposure on severe knee pain in the Gazel cohort.Gazel 队列中生物力学暴露对严重膝关节疼痛的长期影响。
Scand J Work Environ Health. 2011 Jan;37(1):37-44. doi: 10.5271/sjweh.3123. Epub 2010 Oct 1.
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Incidence of Chronic and Other Knee Pain in Relation to Occupational Risk Factors in a Large Working Population.大量在职人群中慢性及其他膝关节疼痛的发病率与职业风险因素的关系
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Job-Exposure Matrix: A Useful Tool for Incorporating Workplace Exposure Data Into Population Health Research and Practice.工作暴露矩阵:将工作场所暴露数据纳入人群健康研究与实践的有用工具。
Front Epidemiol. 2022 Apr 26;2:857316. doi: 10.3389/fepid.2022.857316. eCollection 2022.
2
Effects of education, income, and occupation on prevalence and symptoms of knee osteoarthritis.教育、收入和职业对膝骨关节炎的患病率和症状的影响。
Sci Rep. 2021 Jul 7;11(1):13983. doi: 10.1038/s41598-021-93394-3.
3
The prevalence of occupational exposure to ergonomic risk factors: A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury.职业接触人体工效学风险因素的流行率:来自世卫组织/国际劳工组织工作相关疾病和伤害负担联合估算的系统评价和荟萃分析。
Environ Int. 2021 Jan;146:106157. doi: 10.1016/j.envint.2020.106157. Epub 2020 Dec 14.
4
Comparison Between a Job-Exposure Matrix (JEM) Score and Self-Reported Exposures for Carrying Heavy Loads Over the Working Lifetime in the CONSTANCES Cohort.工作负荷暴露矩阵(JEM)评分与 CONSTANCES 队列中工作生涯中搬运重物的自我报告暴露的比较。
Ann Work Expo Health. 2020 Apr 30;64(4):455-460. doi: 10.1093/annweh/wxaa015.
5
Influence of severe knee pain, meniscus surgery and knee arthroplasty on physical ability: an observational study of 114 949 adults in the CONSTANCES cohort.严重膝关节疼痛、半月板手术和膝关节置换对身体能力的影响:CONSTANCES 队列中 114949 名成年人的观察性研究。
BMJ Open. 2019 Dec 15;9(12):e031549. doi: 10.1136/bmjopen-2019-031549.
6
Association between occupational exposure and Dupuytren's contracture using a job-exposure matrix and self-reported exposure in the CONSTANCES cohort.基于职业暴露矩阵和 CONSTANCES 队列中自我报告的暴露情况,评估职业暴露与掌腱膜挛缩的相关性。
Occup Environ Med. 2019 Nov;76(11):845-848. doi: 10.1136/oemed-2019-105912. Epub 2019 Aug 12.
7
The CONSTANCES job exposure matrix based on self-reported exposure to physical risk factors: development and evaluation.基于自我报告的物理风险因素暴露的 CONSTANCES 工作暴露矩阵:开发和评估。
Occup Environ Med. 2019 Jun;76(6):398-406. doi: 10.1136/oemed-2018-105287. Epub 2019 Jan 31.
8
[Development of “MADE”, a French Job exposure matrix for evaluation of biomechanical exposure].[“MADE”的开发,一种用于评估生物力学暴露的法国工作暴露矩阵]
Sante Publique. 2018 May-June;30(3):333-337. doi: 10.3917/spub.183.0333.
9
Availability of a New Job-Exposure Matrix (CANJEM) for Epidemiologic and Occupational Medicine Purposes.新型职业暴露矩阵(CANJEM)在流行病学和职业医学中的应用。
J Occup Environ Med. 2018 Jul;60(7):e324-e328. doi: 10.1097/JOM.0000000000001335.
10
Occupational Exposure to Knee Loading and the Risk of Osteoarthritis of the Knee: A Systematic Review and a Dose-Response Meta-Analysis.职业性膝关节负荷暴露与膝骨关节炎风险:一项系统评价和剂量反应荟萃分析
Saf Health Work. 2017 Jun;8(2):130-142. doi: 10.1016/j.shaw.2017.02.001. Epub 2017 Feb 22.

如何使用生物力学工作暴露矩阵和工作史来获取肌肉骨骼疾病的工作暴露?数学模型在康斯坦茨队列中严重膝关节疼痛中的应用。

How to Use Biomechanical Job Exposure Matrices with Job History to Access Work Exposure for Musculoskeletal Disorders? Application of Mathematical Modeling in Severe Knee Pain in the Constances Cohort.

机构信息

Univ. Angers, CHU Angers, Univ. Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)-UMRS 1085, SFR ICAT, 49100 Angers, France.

CNRS, LAREMA, SFR MATHSTIC, Université d'Angers, 49100 Angers, France.

出版信息

Int J Environ Res Public Health. 2022 Dec 4;19(23):16217. doi: 10.3390/ijerph192316217.

DOI:10.3390/ijerph192316217
PMID:36498290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9740575/
Abstract

INTRODUCTION

Musculoskeletal disorders related to work might be caused by the cumulative effect of occupational exposures during working life. We aimed to develop a new model which allows to compare the accuracy of duration of work and intensity/frequency associations in application to severe knee pain.

METHODS

From the CONSTANCES cohort, 62,620 subjects who were working at inclusion and coded were included in the study. The biomechanical job exposure matrix "JEM Constances" was used to assess the intensity/frequency of heavy lifting and kneeling/squatting at work together with work history to characterize the association between occupational exposure and severe knee pain. An innovative model G was developed and evaluated, allowing to compare the accuracy of duration of work and intensity/frequency associations.

RESULTS

The mean age was 49 years at inception with 46 percent of women. The G model developed was slightly better than regular models. Among the men subgroup, odds ratios of the highest quartile for the duration and low intensity were not significant for both exposures, whereas intensity/duration were for every duration. Results in women were less interpretable.

CONCLUSIONS

Though higher duration increased strength of association with severe knee pain, intensity/frequency were important predictors among men. Exposure estimation along working history should have emphasis on such parameters, though other outcomes should be studied and have a focus on women.

摘要

简介

与工作相关的肌肉骨骼疾病可能是由于工作生涯中职业暴露的累积效应引起的。我们旨在开发一种新的模型,该模型可以比较工作持续时间和强度/频率关联的准确性,以应用于严重的膝关节疼痛。

方法

从 CONSTANCES 队列中,纳入了 62620 名在纳入时正在工作且被编码的受试者。使用生物力学工作暴露矩阵“JEM Constances”评估了工作中重负荷和跪地/蹲姿的强度/频率,以及工作史,以表征职业暴露与严重膝关节疼痛之间的关联。开发并评估了一种创新模型 G,允许比较工作持续时间和强度/频率关联的准确性。

结果

起始时的平均年龄为 49 岁,女性占 46%。开发的 G 模型略优于常规模型。在男性亚组中,对于两种暴露,最高四分位的持续时间和低强度的比值对于两种暴露都没有显著意义,而强度/持续时间则对于每个持续时间都有意义。女性的结果更难以解释。

结论

尽管较高的持续时间增加了与严重膝关节疼痛的关联强度,但强度/频率是男性的重要预测因素。沿工作史的暴露评估应重点关注这些参数,尽管应研究其他结果并关注女性。