目的 了解脑卒中患者配偶照顾者恐惧疾病进展的潜在剖面特征及其影响因素。方法 2021年10月至2022年11月，采用便利抽样法选取河南省6所三级甲等医院的脑卒中患者及其配偶照顾者为研究对象，采用一般资料调查表、配偶恐惧疾病进展简化量表、家庭韧性问卷、领悟社会支持量表对其进行调查。采用潜在剖面分析探讨脑卒中患者配偶照顾者恐惧疾病进展的潜在分型，并通过单因素分析和多元Logistic回归分析确定影响因素。结果 脑卒中患者配偶照顾者恐惧疾病进展可分为4个潜在剖面：低恐惧-轻度家庭健康担忧组(18.11%)、中恐惧-中度家庭健康与社会功能担忧组(31.49%)、中高恐惧-重度家庭健康担忧组(22.32%)和高恐惧-重度家庭健康与社会功能担忧组(28.08%)。患者的中风次数、对疾病了解程度及配偶照顾者的文化程度、有无工作、家庭韧性和领悟社会支持是配偶照顾者恐惧疾病进展的影响因素(均P＜0.05)。结论 脑卒中患者配偶照顾者恐惧疾病进展存在异质性，护理人员应根据不同的类别特征，制订针对性预防及心理干预措施。

Objective To explore the latent profile characteristics of fear of progression and its influencing factors among spousal caregivers of stroke patients.Methods The convenience sampling method was used to select spousal caregivers of stroke patients in 6 tertiary A hospitals in Henan Province from October 2021 to November 2022 as study subjects.The General Information Questionnaire,Fear of Progression-Questionnaire-Short Form/Partner,Family Resilience Questionnaire,and Perceived Social Support Scale were used for investigation.Latent profile analysis was conducted to identify the potential typology of spousal caregivers’ fear of progression in stroke patients.The univariate analysis and multivariate logistic regression were used to explore related influencing factors.Results Spousal caregivers’ fear of progression of stroke patients could be categorized into 4 potential profiles:low fear-mild family health concern group (18.11%),medium fear-moderate family health and social functioning concern group (31.49%),medium-high fear-severe family health concern group (22.32%) and high fear-severe family health and social functioning concern group (28.08%).The number of strokes，patients’ knowledge of the disease,and the spousal caregiver’s literacy,presence of a job,family resilience and perceived social support were influencing factors in spousal caregiver’s fear of progression (all P＜0.05).Conclusions Heterogeneity exists in spousal caregivers’ fear of progression in stroke patients,and healthcare professionals should develop targeted preventive and psychological interventions based on the characteristics of different categories.

R473.54

国家自然科学基金(72004205)；教育部重点实验室开放基金(LNYBPY-2023-01)；河南省重点研发与推广专项(242102310295)