Evidence map›Paper›PMID 42890603›Full record

ArticleFrontiers in public health2026

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

Anni Hu, Ping Zhang, Yongpeng Dong, Juanhua Jia, Li Dong, Jiangying Han, Hongmei Zhu

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Anni HuDepartment of Emergency, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ping ZhangDepartment of Cardiac Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Yongpeng DongDepartment of Emergency, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Juanhua JiaDepartment of Emergency, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Li DongDepartment of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiangying HanDepartment of Nursing, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Hongmei ZhuDepartment of Emergency, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

Compassion FatigueNursing Staff, HospitalPosttraumatic Growth, PsychologicalAdultBurnout, ProfessionalChinaCross-Sectional StudiesFemaleHumansJob SatisfactionMalePsychological GrowthSocial SupportSurveys and Questionnairesclinical nursescross-sectional studylatent profile analysissecondary posttraumatic growthsecondary traumatic stress

Identifiers

PMID42890603
PMCPMC13671999

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.