Liang Zhiqi, Shi Yingying, Zhang Yunjie, Zhang Hanyi, Zhuo Yu, Lv Ningning, Gao Gexin, Li Jufang
School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Public Health Nurs. 2025 Mar-Apr;42(2):800-810. doi: 10.1111/phn.13482. Epub 2024 Nov 21.
This study aimed to describe the self-management behavior levels and further explore its influencing factors among patients with chronic disease.
A cross-sectional study.
460 convenient samples of patients with chronic disease in Zhejiang Province were investigated using a demographic characteristics questionnaire, the Lubben Social Network Scale (LSNS-6), and the Chronic Disease Self-Management Behavior Scale between October and December 2023. Data were analyzed using descriptive analysis, t-test, one-way analysis of variance, Pearson correlation analysis, Spearman correlation, and hierarchical multiple regression analysis.
The mean score of the self-management behavior of the patients with chronic disease was 32.27 (standard deviation [SD] = 8.67). Hierarchical multiple regression analysis indicated that self-management behavior among patients with chronic disease was influenced by the individual factor (frequency of health check-ups), the family factors (number of children, spouse status, and family network), and the social factor (place of residence).
The self-management behavior among patients with chronic disease was at a moderate level and needed further improvement. The self-management behavior among patients with chronic disease was influenced by three kinds of factors. Specifically, for the individual factor, patients who had a higher frequency of health check-ups reported better self-management behavior; for the family factors, patients who had no spouse, few children, and a strong family network showed better self-management behavior; for the social factor, patients living in urban areas had better self-management behavior.
本研究旨在描述慢性病患者的自我管理行为水平，并进一步探讨其影响因素。
横断面研究。
2023年10月至12月期间，采用人口统计学特征问卷、鲁本社会网络量表（LSNS-6）和慢性病自我管理行为量表，对浙江省460例方便抽样的慢性病患者进行调查。采用描述性分析、t检验、单因素方差分析、Pearson相关分析、Spearman相关分析和分层多元回归分析对数据进行分析。
慢性病患者自我管理行为的平均得分为32.27（标准差[SD]=8.67）。分层多元回归分析表明，慢性病患者的自我管理行为受个体因素（健康检查频率）、家庭因素（子女数量、配偶状况和家庭网络）和社会因素（居住地点）的影响。
慢性病患者的自我管理行为处于中等水平，需要进一步改善。慢性病患者的自我管理行为受三种因素影响。具体而言，就个体因素而言，健康检查频率较高的患者自我管理行为较好；就家庭因素而言，没有配偶、子女较少且家庭网络较强的患者自我管理行为较好；就社会因素而言，居住在城市地区的患者自我管理行为较好。
