Frontiers in psychology · 2026
Unraveling family resilience patterns in ICU first-episode stroke: a latent profile analysis.
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Du Jinlei, Yang Jin, Wu Yulian, Lei Ling, Nie Chencong, Wu Xiaoling
Аннотация
OBJECTIVE: To identify latent family resilience profiles among families of patients with first-episode stroke in the intensive care unit (ICU) and examine factors associated with resilience heterogeneity, with the aim of informing targeted family-support interventions.
METHODS: A cross-sectional study was conducted among 335 ICU patients with first-episode stroke and their primary caregivers. Family resilience was assessed using the Chinese version of the Family Resilience Assessment Scale (FRAS-C). Latent profile analysis (LPA) was used to identify subgroups of family resilience, while LASSO regression and multiple binary logistic regression were applied to determine influencing factors.
RESULTS: Two distinct resilience profiles were identified: Developing Families, characterized by lower levels of communication, resource utilization, and positive outlook; and Optimized Families, characterized by higher resilience across all dimensions. ICU admission count (OR = 2.299, 95% CI: 1.066-4.960), frequency of care and support from relatives or friends (OR = 1.851, 95% CI: 1.068-3.206), and number of additional organ system dysfunctions (OR = 0.233, 95% CI: 0.122-0.445) were significantly associated with family resilience profiles (all P < 0.05).
CONCLUSION: Family resilience among ICU first-episode stroke patients shows notable heterogeneity, with two typical resilience patterns. Early identification of high-risk families-particularly those with limited social support or higher disease complexity-can guide clinicians in delivering targeted communication support, psychological counseling, and resource linkage interventions. Tailored resilience-enhancing strategies may contribute to better patient recovery and improved family adaptation during critical care.
METHODS: A cross-sectional study was conducted among 335 ICU patients with first-episode stroke and their primary caregivers. Family resilience was assessed using the Chinese version of the Family Resilience Assessment Scale (FRAS-C). Latent profile analysis (LPA) was used to identify subgroups of family resilience, while LASSO regression and multiple binary logistic regression were applied to determine influencing factors.
RESULTS: Two distinct resilience profiles were identified: Developing Families, characterized by lower levels of communication, resource utilization, and positive outlook; and Optimized Families, characterized by higher resilience across all dimensions. ICU admission count (OR = 2.299, 95% CI: 1.066-4.960), frequency of care and support from relatives or friends (OR = 1.851, 95% CI: 1.068-3.206), and number of additional organ system dysfunctions (OR = 0.233, 95% CI: 0.122-0.445) were significantly associated with family resilience profiles (all P < 0.05).
CONCLUSION: Family resilience among ICU first-episode stroke patients shows notable heterogeneity, with two typical resilience patterns. Early identification of high-risk families-particularly those with limited social support or higher disease complexity-can guide clinicians in delivering targeted communication support, psychological counseling, and resource linkage interventions. Tailored resilience-enhancing strategies may contribute to better patient recovery and improved family adaptation during critical care.