Fan Chengxin, Fan Zina, Li Qiusha, Zhao Zixuan, Yang Chunxiao, Chen Zhongming, Yin Wenqiang
School of Public Health, Shandong Second Medical University, Weifang, China.
"Health Shandong" Severe Social Risk Prevention and Management Synergy Innovation Center, Weifang, China.
Front Public Health. 2025 May 21;13:1508716. doi: 10.3389/fpubh.2025.1508716. eCollection 2025.
Traditional Chinese medicine plays a unique role and has proven efficacy in preventing and treating common and chronic diseases. Moxibustion, as a type of traditional Chinese medicine healthcare therapy, has a broad mass, social, and cultural foundation in China. This study analyzes the pathways and influencing factors of residents' acceptance of moxibustion.
Data were collected from 808 residents in 18 cities or districts using whole cluster stratified random sampling. Take the expanded Unified Theory of Acceptance and Use of Technology model scale as the research tool. Data were analyzed by SPSS 25.0 and AMOS 24.0, including descriptive statistics, one-way analysis of variance, structural equation model analysis, and multi-group model analysis.
Structural equation modeling showed that performance expectancy (β = 0.603, < 0.001), effort expectancy (β = 0.260, < 0.001), social influence (β = 0.373, < 0.001), and perceived risk (β = -0.162, < 0.001) significantly predicted behavioral intention. Facilitating conditions (β = 0.186, < 0.01) and behavioral intention (β = 0.708, < 0.001) directly affect usage behavior. The multiple-group analysis found that experiential and chronic disease status played a moderating role in the structural pathways.
The study confirmed that the constructed resident moxibustion technology model can serve as a suitable framework for predicting the factors that influence residents' intention to use moxibustion and their behaviors. Increasing residents' performance expectations and effort expectations, creating a positive social environment, and reducing perceived risk are key factors in enhancing residents' behavior and willingness to use moxibustion.
中医药在防治常见及慢性病方面发挥着独特作用且疗效已得到证实。艾灸作为一种中医疗法，在中国具有广泛的群众、社会及文化基础。本研究分析居民对艾灸接受程度的途径及影响因素。
采用整群分层随机抽样法收集了18个市或区的808名居民的数据。以扩展的技术接受与使用统一理论模型量表作为研究工具。采用SPSS 25.0和AMOS 24.0对数据进行分析，包括描述性统计、单因素方差分析、结构方程模型分析和多组模型分析。
结构方程模型显示，绩效期望（β = 0.603，< 0.001）、努力期望（β = 0.260，< 0.001）、社会影响（β = 0.373，< 0.001）和感知风险（β = -0.162，< 0.001）显著预测行为意向。促进条件（β = 0.186，< 0.01）和行为意向（β = 0.708，< 0.001）直接影响使用行为。多组分析发现，体验和慢性病状况在结构路径中起调节作用。
该研究证实构建的居民艾灸技术模型可作为预测影响居民艾灸使用意向及行为因素的合适框架。提高居民的绩效期望和努力期望、营造积极的社会环境以及降低感知风险是增强居民艾灸使用行为和意愿的关键因素。
