Underlying mechanisms of diabetes knowledge influencing diabetes self-management behaviors among patients with type II diabetes in rural China: Based on health belief model

Xiaoying Wang, Bo Tian,Shengfa Zhang,Jina Li, Weiping Yang,Linni Gu,Weijun Zhang

Patient Education and Counseling(2023)

引用 0|浏览3
暂无评分
摘要
Objective: To investigate the association between diabetes knowledge and diabetes self-management (DSM) behaviors and to explore the influence mechanism between them among patients with type 2 diabetes mellitus (T2DM) based on health belief model in rural China.Methods: This cross-sectional study included 483 participants with T2DM from 8 villages of 3 townships in Jiangsu Province. All participants completed a structured questionnaire, including demographic information, diabetes knowledge, DSM behaviors, health beliefs, and cognitive function. Multiple linear regression and mediation analysis were performed to analyze the association between diabetes knowledge and DSM behaviors, furthermore the mechanism between them.Results: Diabetes knowledge and self-efficacy positively influenced DSM behaviors. Health beliefs multiply mediated the association between diabetes knowledge and DSM behaviors. Perceived behavioral barriers mediated the relationship between diabetes knowledge and DSM behaviors, where a suppression effect existed. A chain-mediated effect was found: diabetes knowledge affected perceived benefits, followed by self-efficacy, and finally DSM behaviors.Conclusion: Diabetes knowledge acquisition played an important role in improving DSM behaviors, and health beliefs multiply mediated the relationship between them. Practice Implications: When designing interventions, health systems and health providers should refocus on diabetes knowledge, emphasize the benefits of self-management, and consider the barriers that patients may encounter.
更多
查看译文
关键词
Type 2 Diabetes Mellitus,Health Belief Model,Diabetes Self -management,Diabetes Knowledge,Multiple Mediating Effects
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要