Nursing assistants (NAs) working in nursing homes (NHs) are at higher risk for work-related musculoskeletal symptoms (WRMSs) than their counterparts working in other health care settings. Worldwide, NAs have ranked shoulders in the top three body parts at risk of WRMSs. However, factors associated with their shoulder WRMSs are currently unknown. The aim of this study was to identify these associated risk factors among NAs working in NHs. 440 NAs from 47 nursing homes (with 60–90% response rate from each nursing home), recruited by convenience sampling, participated in this cross-sectional study in 2014–2015. A validated and reliable questionnaire was used for data collection. Information on demographic, job content questionnaire (JCQ), perceived physical exertion (PE), workstyle, ergonomic and manual handling knowledge and other work-related factors was collected using a self-administered questionnaire. 53% of the participants reported experiencing with WRMSs in their shoulders. Nine associated factors of shoulder WRMSs were identified using bivariate analysis. With the adjustment of age and gender using multivariable logistic regression, body mass index (OR = .931, 95% CI [.874–.991]), job title of health workers (OR = 2.72, 95% CI [1.18–6.25]) and workstyle-working through pain (OR = 1.06, 95% CI [1.01–1.11]) remained as predictors. Effort should be directed at integrating “workstyle intervention” into lifestyle physical activity training for NAs.

中文翻译：

---

在疗养院工作的护理助手中与肩膀有关的与工作有关的肌肉骨骼症状的预测指标

与在其他医疗机构工作的同行相比，在疗养院（NHs）工作的护理助理（NAs）面临与工作相关的肌肉骨骼症状（WRMS）的风险更高。在全球范围内，NA均在面临WRMS风险的前三大身体部位中排在第二位。但是，目前尚不清楚与它们的肩WRMS相关的因素。这项研究的目的是在从事NHs工作的NAs中识别这些相关的危险因素。2014年至2015年，通过便利性抽样征集了来自47个疗养院的440个NA（每个疗养院的回应率60-90％），参加了这项横断面研究。使用经过验证且可靠的调查表进行数据收集。有关人口统计信息，工作内容问卷（JCQ），体力劳动（PE），工作风格，使用自我管理的调查表收集了人体工程学和手动处理方面的知识以及其他与工作相关的因素。53％的参与者报告说他们的肩膀上经历了WRMS。使用双变量分析确定了九个肩WRMS的相关因素。通过使用多元逻辑回归调整年龄和性别，体重指数（OR = .931，95％CI [.874–.991]），卫生工作者的职称（OR = 2.72，95％CI [1.18–6.25] ]）和通过痛苦进行的工作方式工作（OR = 1.06，95％CI [1.01-1.11]）仍然是预测指标。应努力将“工作方式干预”整合到NA的生活方式体育锻炼中。使用双变量分析确定了九个肩WRMS的相关因素。通过使用多元逻辑回归调整年龄和性别，体重指数（OR = .931，95％CI [.874–.991]），卫生工作者的职称（OR = 2.72，95％CI [1.18–6.25] ]）和通过痛苦进行的工作方式工作（OR = 1.06，95％CI [1.01-1.11]）仍然是预测指标。应努力将“工作方式干预”整合到NA的生活方式体育锻炼中。使用双变量分析确定了九个肩WRMS的相关因素。通过使用多元逻辑回归调整年龄和性别，体重指数（OR = .931，95％CI [.874–.991]），卫生工作者的职称（OR = 2.72，95％CI [1.18–6.25] ]）和通过痛苦进行的工作方式工作（OR = 1.06，95％CI [1.01-1.11]）仍然是预测指标。应努力将“工作方式干预”整合到NA的生活方式体育锻炼中。