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Peer-reviewedCC BYFrontiers in public health

The relationship between secondary traumatic stress and secondary posttraumatic growth in clinical nurses: a cross-sectional study based on latent profile analysis

  • Anni Hu1
  • Ping Zhang2
  • Yongpeng Dong1
  • Juanhua Jia1
  • Li Dong3
  • Jiangying Han4
  • Hongmei Zhu1
4 affiliations
  1. 1Department of Emergency, The First Affiliated Hospital of Anhui Medical University , ,
  2. 2Department of Cardiac Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University , ,
  3. 3Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine , ,
  4. 4Department of Nursing, The First Affiliated Hospital of Anhui Medical University , ,
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Abstract

Objective: This study aims to identify the latent profiles of secondary traumatic stress-secondary posttraumatic growth (STS-SPTG) among clinical nurses and explore factors associated with profile membership.

Methods: A convenience sampling method was used to recruit clinical nurses from a provincial tertiary Grade A hospital in Anhui Province between June and August 2024. Data were collected using the general information questionnaire, the Secondary Traumatic Stress Scale, the Secondary Posttraumatic Growth Inventory, the 10-item Big Five Inventory, and the Social Support Rating Scale. Latent profile analysis was performed to identify distinct STS-SPTG profiles among clinical nurses, and multinomial logistic regression analysis was used to explore factors associated with profile membership.

Results: A total of 496 valid questionnaires were collected. Three latent profiles of STS-SPTG were identified among clinical nurses: the low-response profile (34.3%), the high-risk profile (42.3%), and the positive-growth profile (23.4%). Self-rated health status, job satisfaction, perceived job burnout, administrative position, personality traits, and social support were associated with latent profile membership among clinical nurses ( p < 0.05).

Conclusion: Clinical nurses exhibited substantial heterogeneity in STS-SPTG patterns. The identified profiles and associated factors may provide preliminary evidence for early identification and stratified supportive approaches for nurses with different psychological response patterns. However, associations involving personality traits should be interpreted cautiously and require further validation in future studies.

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Cite

BibTeXRIS
BibTeX
@article{hu2026relationship,
  title = {{The relationship between secondary traumatic stress and secondary posttraumatic growth in clinical nurses: a cross-sectional study based on latent profile analysis}},
  author = {Anni Hu and Ping Zhang and Yongpeng Dong and Juanhua Jia and Li Dong and Jiangying Han and Hongmei Zhu},
  journal = {Frontiers in public health},
  year = {2026},
  month = oct,
  doi = {10.3389/fpubh.2026.1909010},
  url = {https://europepmc.org/article/PMC/PMC13671999},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - The relationship between secondary traumatic stress and secondary posttraumatic growth in clinical nurses: a cross-sectional study based on latent profile analysis
AU  - Anni Hu
AU  - Ping Zhang
AU  - Yongpeng Dong
AU  - Juanhua Jia
AU  - Li Dong
AU  - Jiangying Han
AU  - Hongmei Zhu
PY  - 2026
DA  - 2026/10/02
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1909010
UR  - https://europepmc.org/article/PMC/PMC13671999
AB  - Objective: This study aims to identify the latent profiles of secondary traumatic stress-secondary posttraumatic growth (STS-SPTG) among clinical nurses and explore factors associated with profile membership.  Methods: A convenience sampling method was used to recruit clinical nurses from a provincial tertiary Grade A hospital in Anhui Province between June and August 2024. Data were collected using the general information questionnaire, the Secondary Traumatic Stress Scale, the Secondary Posttraumatic Growth Inventory, the 10-item Big Five Inventory, and the Social Support Rating Scale. Latent profile analysis was performed to identify distinct STS-SPTG profiles among clinical nurses, and multinomial logistic regression analysis was used to explore factors associated with profile membership.  Results: A total of 496 valid questionnaires were collected. Three latent profiles of STS-SPTG were identified among clinical nurses: the low-response profile (34.3%), the high-risk profile (42.3%), and the positive-growth profile (23.4%). Self-rated health status, job satisfaction, perceived job burnout, administrative position, personality traits, and social support were associated with latent profile membership among clinical nurses ( p < 0.05).  Conclusion: Clinical nurses exhibited substantial heterogeneity in STS-SPTG patterns. The identified profiles and associated factors may provide preliminary evidence for early identification and stratified supportive approaches for nurses with different psychological response patterns. However, associations involving personality traits should be interpreted cautiously and require further validation in future studies.
SN  - 2296-2565
ER  -