Suppr超能文献

一种在超声检查中实施人体工程学以预防与工作相关的肌肉骨骼疾病的新方法(ErgoSon)。

A new approach for the implementation of ergonomics in sonography to prevent work-related musculoskeletal disorders (ErgoSon).

作者信息

Weimer Johannes Matthias, Dumancic Bastian, Weinmann-Menke Julia, Rombusch Josefine, Ernst Benjamin, Krambeck Alexa, Golbach Rejane, Topal Eugen, Maurer-Grubinger Christian, Ille Carlotta, Groneberg David A, Erbe Christina, Ohlendorf Daniela, Holzgreve Fabian

机构信息

Rudolf Frey Learning Clinic, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Department of Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

出版信息

J Occup Med Toxicol. 2025 Apr 7;20(1):11. doi: 10.1186/s12995-025-00457-6.

Abstract

BACKGROUND

A substantial body of research has documented a high prevalence of neck, shoulder, wrist, and back pain among sonography users. However, the specific postures that contribute to these complaints have scarcely been systematically investigated, to date. This proposed study offers a novel method to record users' body posture during sonography examinations kinematically and to survey the complaints of sonography users in various specialities. Using this data, well-founded ergonomic recommendations for the prevention of work-related musculoskeletal disorders (WRMSDs) will be developed.

METHODS

A minimum of 38 study participants across two groups (19 beginners; 19 experienced) per speciality (head and neck sonography, abdominal sonography, cardiac sonography, musculoskeletal sonography, and obstetric/gynaecological sonography) will be assessed using kinematic whole-body (including finger movements) analysis based on inertial motion capture. Subsequently, ergonomic risk will be determined by integrating the quantitative data into the Rapid Upper Limb Assessment (RULA). Moreover, a questionnaire on musculoskeletal complaints and ergonomics in sonography will be used in certified sonography courses, ultrasound-based centres, and university teaching. The primary outcome measures of this proposed study include typical tasks based on joint angles and assessment using RULA scores. In addition, the prevalence of WRMSDs will be recorded. The Mann-Whitney-U test will be employed to calculate the differences between the two study groups in each speciality. In addition, inferential statistical comparisons will be conducted for continuous data using confidence bands; the statistical parametric mapping method will be employed here. The significance level will be set at p = 0.05.

CONCLUSIONS

This article proposes a study (or series of studies) to describe the continuous ergonomic risk for typical tasks across different disciplines of sonography and to identify increased ergonomic risks. Such studies offer significant potential for preventing WRMSDs. The insights gained could inform the future design of prevention programmes and the development of recommendations for action, as well as teaching sonography users an ergonomically optimised way of working. The results could suggest that ergonomics training is incorporated more thoroughly into ultrasound training curricula to minimise health risks for future users.

摘要

背景

大量研究记录了超声检查使用者中颈部、肩部、手腕和背部疼痛的高患病率。然而,迄今为止,导致这些不适的具体姿势几乎没有得到系统的研究。本拟议研究提供了一种新颖的方法,用于在超声检查过程中动态记录使用者的身体姿势,并调查不同专业超声检查使用者的不适情况。利用这些数据,将制定出有充分依据的预防工作相关肌肉骨骼疾病(WRMSDs)的人体工程学建议。

方法

每个专业(头颈超声、腹部超声、心脏超声、肌肉骨骼超声和妇产科超声)至少有38名研究参与者分为两组(19名初学者;19名有经验者),将使用基于惯性运动捕捉的全身运动分析(包括手指运动)进行评估。随后,通过将定量数据整合到快速上肢评估(RULA)中来确定人体工程学风险。此外,一份关于超声检查中肌肉骨骼不适和人体工程学的问卷将在认证超声课程、超声中心和大学教学中使用。本拟议研究的主要结局指标包括基于关节角度的典型任务和使用RULA评分进行评估。此外,还将记录WRMSDs的患病率。将采用曼-惠特尼-U检验来计算每个专业两个研究组之间的差异。此外,将使用置信带对连续数据进行推断性统计比较;此处将采用统计参数映射方法。显著性水平将设定为p = 0.05。

结论

本文提出一项研究(或一系列研究),以描述超声检查不同学科典型任务中持续存在的人体工程学风险,并识别增加的人体工程学风险。此类研究在预防WRMSDs方面具有巨大潜力。获得的见解可为未来预防计划的设计和行动建议的制定提供参考,还可为超声检查使用者传授人体工程学优化的工作方式。结果可能表明,人体工程学培训应更全面地纳入超声培训课程,以将未来使用者的健康风险降至最低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3c3/11978026/1cccfcad3c45/12995_2025_457_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验