职业与健康 ›› 2025, Vol. 41 ›› Issue (23): 3184-3189.

• 论著 • 上一篇    下一篇

基于潜类别增长模型的新诊断尘肺病患者心理弹性变化轨迹分析

范娇, 黄燕舞(), 陈丽娟   

  1. 湖南省职业病防治院职业性肺病一科,湖南 长沙 410007
  • 收稿日期:2025-03-26 修回日期:2025-04-02 出版日期:2025-12-01 发布日期:2025-12-10
  • 通讯作者: 黄燕舞,主任护师,E-mail:147060398@qq.com
  • 作者简介:范娇,女,护师,主要从事尘肺病护理工作。
  • 基金资助:
    湖南省自然科学基金(2025JJ80790)

Analysis of psychological resilience trajectories in newly diagnosed pneumoconiosis patients based on the latent class growth model

Jiao FAN, Yanwu HUANG(), Lijuan CHEN   

  1. Department of Occupational Lung Disease I,Hunan Prevention and Treatment Institute for Occupational Diseases,Changsha,Hunan 410007,China
  • Received:2025-03-26 Revised:2025-04-02 Online:2025-12-01 Published:2025-12-10
  • Contact: HUANG Yanwu,Chief nurse,E-mail:147060398@qq.com

摘要:

目的 运用潜类别增长模型(latent class growth model,LCGM)深入分析新诊断尘肺病患者心理弹性的动态变化轨迹,并探讨其影响因素,辅助临床识别潜在低弹性个体。方法 选取2023年1—12月在湖南省某三级甲等医院278例新诊断尘肺患者作为研究对象,采用一般资料调查表、社会支持评定量表(social support rating scale,SSRS)、家庭关怀度指数问卷(family care index scale,APGAR)、简易应对方式问卷(simplified coping style questionnaire,SCSQ)及心理弹性量表10(10-item Connor-Davidson resilience scale,CD-RISC-10)在患者入院新诊断24 h内(T0)、诊断1个月(T1)、诊断3个月(T2)和诊断6个月(T3)时对患者进行调查,采用有序多分类logistic回归分析不同人口学特征的新诊断尘肺病患者心理弹性变化差异。结果 LCGM结果显示,新诊断的尘肺病患者心理弹性变化轨迹可分为心理弹性成长型、心理弹性平稳型和心理弹性衰弱型3种,其中,278例新诊断尘肺患者中心理弹性成长型68例,占24.5%,心理弹性平稳型163例,占58.6%,心理弹性衰弱型47例,占16.9%。多元有序logistic回归分析结果显示,年龄、家庭月收入、呼吸合并症、社会支持、积极应对、消极应对和家庭关怀指数均是潜在类别的影响因素,差异均有统计学意义(均P<0.05)。结论 新诊断的尘肺病患者心理弹性可分为心理弹性成长型、心理弹性平稳型和心理弹性衰弱型3种变化轨迹,且大部分患者为心理弹性平稳型。医护人员应予以足够关注,并积极采取心理干预措施以增强新诊断尘肺病患者心理弹性水平,确保身心健康。

关键词: 潜类别增长模型, 新诊断尘肺患者, 心理弹性, 变化轨迹分析

Abstract:

Objective To deeply analyze the dynamic changes in psychological resilience of newly diagnosed pneumoconiosis patients using the latent class growth model(LCGM),and explore its influencing factors,in order to assist clinical identification of individuals with potential low resilience. Methods A total of 278 newly diagnosed pneumoconiosis patients from a grade-A tertiary hospital in Hunan Province,diagnosed between January and December 2023,were selected as the research subjects. The general information survey questionnaire,the social support rating scale(SSRS),the family care index scale(APGAR), the simplified coping style questionnaire(SCSQ),and the 10-item Connor-Davidson resilience scale(CD-RISC-10) were administered to patients within 24 hours of admission(T0),1 month after diagnosis(T1),3 months after diagnosis(T2),and 6 months after diagnosis(T3). Ordinal multivariate logistic regression analysis was employed to investigate the differences in psychological resilience changes among newly diagnosed pneumoconiosis patients with different demographic characteristics. Results The results of LCGM revealed that the trajectories of psychological resilience changes in newly diagnosed pneumoconiosis patients could be categorized into three types:psychological resilience growth type,psychological resilience stability type,and psychological resilience decline type. Among the 278 newly diagnosed pneumoconiosis patients,68(24.5%) exhibited resilience growth,163(58.6%) exhibited resilience stability,and 47(16.9%) exhibited resilience decline. The results of multiple ordinal logistic regression analysis showed that the differences were statistically significant(all P<0.05). Conclusion The psychological resilience of newly diagnosed pneumoconiosis patients can be categorized into three trajectories:psychological resilience growth type,psychological resilience stability type,and psychological resilience decline type,with the majority of patients falling into the resilience stability category. Healthcare providers should give sufficient attention to these patients and actively implement psychological interventions to enhance the psychological resilience of newly diagnosed pneumoconiosis patients,ensuring both physical and mental well-being.

Key words: Latent class growth model, Newly diagnosed pneumoconiosis patients, Psychological resilience, Trajectory analysis

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