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中文医务人员健康相关生活质量:潜在剖面分析。

Health-related quality of life in Chinese medical staff: a latent profile analysis.

机构信息

Department of Cardiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

出版信息

Front Public Health. 2023 May 5;11:1183483. doi: 10.3389/fpubh.2023.1183483. eCollection 2023.

DOI:10.3389/fpubh.2023.1183483
PMID:37213640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10196040/
Abstract

OBJECTIVE

To investigate subgroups of health-related quality of life (HRQoL) in the Chinese medical staff and identify the demographic factors associated with these profiles.

METHODS

574 Chinese medical staff were surveyed online. HRQoL was measured by using the 36-Item Short Form Health Survey, Version 2. Latent profile analysis (LPA) was used to identify the profiles of HRQoL. The associations between HRQoL profiles and covariates were assessed using multinomial logistic regression.

RESULTS

Three HRQoL profiles were developed: low HRQoL at 15.6%, moderate HRQoL at 46.9%, and high HRQoL at 37.6%. Multinomial logistic regression showed night shift times, aerobic exercise conditioning, and personality type significantly predicted the profile membership.

CONCLUSION

Our findings develop earlier approaches that only used total scores to evaluate this group's HRQoL and help them with tailored interventions to promote better HRQoL.

摘要

目的

调查中国医务人员健康相关生活质量(HRQoL)的亚组,并确定与这些特征相关的人口统计学因素。

方法

在线调查了 574 名中国医务人员。使用 36 项简短健康调查问卷,第 2 版(36-Item Short Form Health Survey, Version 2)测量 HRQoL。采用潜在剖面分析(Latent profile analysis, LPA)来确定 HRQoL 特征。使用多项逻辑回归评估 HRQoL 特征与协变量之间的关联。

结果

确定了三种 HRQoL 特征:低 HRQoL 占 15.6%,中 HRQoL 占 46.9%,高 HRQoL 占 37.6%。多项逻辑回归显示,夜班次数、有氧运动条件和人格类型显著预测了特征的隶属关系。

结论

我们的研究结果扩展了之前仅使用总分来评估该群体 HRQoL 的方法,并有助于针对他们实施定制干预,以提高 HRQoL。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/10196040/55bcc0f7cb3d/fpubh-11-1183483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/10196040/e08348d2e19f/fpubh-11-1183483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/10196040/133278346b81/fpubh-11-1183483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/10196040/55bcc0f7cb3d/fpubh-11-1183483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/10196040/e08348d2e19f/fpubh-11-1183483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/10196040/133278346b81/fpubh-11-1183483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/10196040/55bcc0f7cb3d/fpubh-11-1183483-g003.jpg

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