Relationship between latent classes of recurrence risk perception and health behaviors in ischemic stroke patients
10.3760/cma.j.cn115682-20231130-02337
- VernacularTitle:缺血性脑卒中患者复发风险感知的潜在类别与健康行为的关系
- Author:
Xiangmin WANG
1
;
Xiaomei ZHANG
;
Xiaohang DONG
;
Xiyi TAN
;
Qinger LIN
;
Hongzhen ZHOU
Author Information
1. 南方医科大学南方医院护理部，广州 510515
- Keywords:
Stroke;
Recurrence;
Risk perception;
Health behavior;
Latent class analysis
- From:
Chinese Journal of Modern Nursing
2024;30(16):2180-2188
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the latent classes of recurrence risk perception in ischemic stroke patients and their relationship with health behaviors.Methods:Convenience sampling was used to select 312 patients with ischemic stroke from two ClassⅢ Grade A hospitals of Guangzhou from December 2022 to June 2023 as the research subject. Before discharge, the General Information Questionnaire, Recurrence Risk Perception Scale for Patients with Stroke, and Health Behavior Scale for Stroke Patients were used for investigation. One month later, the Health Behavior Scale for Stroke Patients was used for follow-up. Latent class analysis and multiple Logistic regression analysis were used to explore the latent classes of recurrence risk perception and their influencing factors, while multiple linear regression was used to analyze the relationship between latent classes of recurrence risk perception and health behavior at 1-month follow-up.Results:A total of 312 questionnaires were distributed, and 302 valid questionnaires were collected, with an effective response rate of 96.79%. One month later, 261 study subjects completed follow-up. The recurrence risk perception in ischemic stroke patients were divided into four classes of overall low perceived accuracy, light consequence-heavy disease-moderate perceived accuracy, heavy self-care-light diet-upper moderate perceived accuracy, and overall high perceived accuracy. Age, educational level, place of residence and monthly average income were influencing factors for different latent classes ( P<0.05). Compared with patients with overall low perceived accuracy, patients with heavy self-care-light diet-upper moderate perceived accuracy, as well as those with overall high perceived accuracy, showed better health behavior after discharge, with a statistically significant difference ( P<0.05) . Conclusions:Medical and nursing staff should provide targeted nursing interventions based on the common characteristics and individual differences of different classes of patients, helping patients correctly perceive the recurrence risk, improve health behavior, and prevent stroke recurrence.
