BMC nursing · 2025
Latent profile analysis of resilience and its relationship with social support, coping style, and death attitude among Chinese palliative nurses.
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Zhang Shu, Jiang Jianjun, Guan Chang, Li Juejin, Hu Xiaolin
Аннотация
BACKGROUND: Nurses assume primary responsibility for palliative care. Owing to the complexity of palliative care and frequent exposure to death, there is a need to explore the latent resilience profiles of nurses to create targeted protective systems for improving mental health and the quality of palliative care.
METHODS: A cross-sectional study was performed. A total of 320 palliative care nurses were recruited. The sociodemographic questionnaire, the Connor and Davidson's Resilience Scale, the Perceived Social Support Scale, the Simplified Coping Style Questionnaire, and the Death Attitude Profile-Revised were used for data collection. A latent profile analysis of resilience among palliative nurses was performed, and the factors influencing the latent profiles were explored via multivariate logistic regression analysis.
RESULTS: The results of latent profile analysis revealed three distinct resilience subgroups among palliative nurses: a "low resilience - difficulty adapting to work stress" group (39.6%); a "moderate resilience - challenged in regulating negative emotions" group (42.7%); and a "high resilience - well coping in adversity recovery" group (17.7%). Multiple logistic regression showed that protective factors for resilience included good family support, positive coping, and high death avoidance acceptance, and risk factors included suboptimal health conditions, the intention to leave the job, and the fear of death.
CONCLUSIONS: Palliative nurses exhibit individual differences in resilience. Protective and risk factors for resilience among nurses should be evaluated to identify unique needs and targeted intervention.
METHODS: A cross-sectional study was performed. A total of 320 palliative care nurses were recruited. The sociodemographic questionnaire, the Connor and Davidson's Resilience Scale, the Perceived Social Support Scale, the Simplified Coping Style Questionnaire, and the Death Attitude Profile-Revised were used for data collection. A latent profile analysis of resilience among palliative nurses was performed, and the factors influencing the latent profiles were explored via multivariate logistic regression analysis.
RESULTS: The results of latent profile analysis revealed three distinct resilience subgroups among palliative nurses: a "low resilience - difficulty adapting to work stress" group (39.6%); a "moderate resilience - challenged in regulating negative emotions" group (42.7%); and a "high resilience - well coping in adversity recovery" group (17.7%). Multiple logistic regression showed that protective factors for resilience included good family support, positive coping, and high death avoidance acceptance, and risk factors included suboptimal health conditions, the intention to leave the job, and the fear of death.
CONCLUSIONS: Palliative nurses exhibit individual differences in resilience. Protective and risk factors for resilience among nurses should be evaluated to identify unique needs and targeted intervention.