心房颤动患者自我调节疲劳现状及其影响因素分析

doi:10.3969/j.issn.1006-9143.2026.04.007

天津护理 ›› 2026, Vol. 34 ›› Issue (4): 413-417.DOI: 10.3969/j.issn.1006-9143.2026.04.007

心房颤动患者自我调节疲劳现状及其影响因素分析

方妍方储馨李婷婷张娟娟姚琳张理想周晓娟

（中国科学技术大学附属第一医院，安徽合肥 230036）

出版日期:2026-08-28 发布日期:2026-09-02
基金资助:
安徽省高等学校省级质量工程项目（2022jyxm1849）；中国科学技术大学校级本科质量工程项目（2022xjyxm089）

Status and influencing factors of self-regulatory fatigue in patients with atrial fibrillation

FANG Yan, FANG Chuxin, LI Tingting, ZHANG Juanjuan, YAO Lin, ZHANG Lixiang, ZHOU Xiaojuan

(The First Affiliated Hospital of University of Science and Technology of China, Hefei Anhui 230036)

Online:2026-08-28 Published:2026-09-02

摘要/Abstract

摘要： 目的：分析心房颤动患者自我调节疲劳现状及其影响因素。方法：采用便利抽样法，选取安徽省合肥市某三级甲等医院心血管内科住院的心房颤动患者为调查对象。采用一般资料调查表、自我调节疲劳量表（Self-Regulatory Fatigne Scale，SRF-S）、一般自我效能感量表（General Self-Efficacy Scale，GSES）和心理弹性量表（The Connor-Davidson Resilience Scale，CD-RISC）对患者进行问卷调查。结果：338 例患者 SRF-S 总分为（45.95±18.18）分。Pearson 相关分析结果显示，心房颤动患者 SRF-S 总分与 GSES 和CD-RISC 总分均呈负相关关系（P<0.05）。多元线性回归分析结果表明，GSES、CD-RISC、合并脑卒中、房颤类型、文化程度及月收入均是心房颤动患者自我调节疲劳的独立影响因素（P<0.05）。结论：心房颤动患者自我调节疲劳程度有待改善，且受多种因素影响，医护人员可依据自我调节疲劳的影响因素制定针对性的干预方案并实施，以降低其自我调节疲劳程度。

关键词: 心房颤动, 自我调节疲劳, 现状, 影响因素, 护理

Abstract: Objective: To analyze the current status of self-regulatory fatigue and its influencing factors in patients with atrial fibrillation. Methods: A convenience sampling method was used to select patients with atrial fibrillation hospitalized in the cardiovascular medicine department of a tertiary grade A hospital in Hefei, Anhui Province. A survey was conducted using the General Information Questionnaire, the Self-Regulatory Fatigue Scale (SRF-S), the General Self-Efficacy Scale (GSES), and the Connor-Davidson Resilience Scale (CD-RISC). Results: The total score of the SRF-S among 338 patients was (45.95±18.18). Pearson correlation analysis showed that the total score of the SRF-S in patients with atrial fibrillation was negatively correlated with the total scores of GSES and CD-RISC (P<0.05). Multiple linear regression analysis indicated that the total score of GSES, the total score of CD-RISC, comorbid stroke, type of atrial fibrillation, education level, and monthly income level were independent influencing factors of the self-regulatory fatigue in patients with atrial fibrillation (P<0.05). Conclusion: The level of self-regulatory fatigue in patients with atrial fibrillation needs to be improved, and it is influenced by multiple factors. Healthcare providers can develop targeted intervention programs based on the influencing factors of self-regulatory fatigue to reduce the level of self-regulatory fatigue in patients with atrial fibrillation.

Key words: Atrial fibrillation, Self-regulatory fatigue, Status, Influencing factors, Nursing

方妍方储馨李婷婷张娟娟姚琳张理想周晓娟. 心房颤动患者自我调节疲劳现状及其影响因素分析[J]. 天津护理, 2026, 34(4): 413-417.

FANG Yan, FANG Chuxin, LI Tingting, ZHANG Juanjuan, YAO Lin, ZHANG Lixiang, ZHOU Xiaojuan. Status and influencing factors of self-regulatory fatigue in patients with atrial fibrillation[J]. Tianjin Journal of Nursing, 2026, 34(4): 413-417.

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心房颤动患者自我调节疲劳现状及其影响因素分析

Status and influencing factors of self-regulatory fatigue in patients with atrial fibrillation

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