OCCUPATION AND HEALTH ›› 2025, Vol. 41 ›› Issue (23): 3184-3189.

• Treatise • Previous Articles     Next Articles

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

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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