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多理论模型(MTM)能否解释人们练习冥想的意图?

Can the Multi-Theory Model (MTM) of Health Behavior Change Explain the Intent for People to Practice Meditation?

机构信息

14722University of Nevada, Las Vegas, USA.

303419Baylor University, Waco, USA.

出版信息

J Evid Based Integr Med. 2021 Jan-Dec;26:2515690X211064582. doi: 10.1177/2515690X211064582.

Abstract

Meditation is gaining popularity as adjuvant therapy for many chronic ailments, mental well-being, and spiritual growth. Behavioral theories have been underutilized in understanding meditation behavior. This study aimed to test if a fourth-generation multi-theory model (MTM) could explain the intent for starting and maintaining meditation behavior in a sample of US adults. A face and content valid 48-item instrument based on MTM was administered in a cross-sectional design through an online survey (n = 330). Internal consistency (Cronbach's alpha > 0.70) and construct validation using structural equation modeling of the subscales were all acceptable. Hierarchical multiple regression revealed that, after controlling for demographic covariates, the MTM constructs of participatory dialogue (β  =  0.153;   =  .002) and behavioral confidence (β  =  0.479;  < .001) were statistically significant in predicting intent for starting meditation behavior and accounted for 32.9% of the variance. Furthermore, after controlling for demographic covariates, the MTM constructs of emotional transformation (β  =  0.390;  < .001) and changes in the social environment (β  =  0.395;  < .001) were statistically significant and accounted for 52.9% of the variance in the intent for maintaining meditation behavior. Based on this study, it can be concluded that MTM offers a pragmatic framework to design, implement, and evaluate evidence-based (theory-based) meditation behavior change interventions.

摘要

冥想作为许多慢性疾病、心理健康和精神成长的辅助疗法越来越受到欢迎。在理解冥想行为方面,行为理论尚未得到充分利用。本研究旨在测试第四代多理论模型(MTM)是否可以解释美国成年人样本中开始和维持冥想行为的意图。基于 MTM 的 48 项面部和内容有效的工具在横断面设计中通过在线调查(n = 330)进行管理。子量表的内部一致性(Cronbach's alpha > 0.70)和结构方程建模的构建验证均可以接受。分层多元回归显示,在控制人口统计学协变量后,MTM 的参与性对话(β  =  0.153;p = 0.002)和行为信心(β  =  0.479;p < 0.001)结构与开始冥想行为的意图呈统计学显著相关,解释了 32.9%的方差。此外,在控制人口统计学协变量后,MTM 的情感转化(β  =  0.390;p < 0.001)和社会环境变化(β  =  0.395;p < 0.001)结构与维持冥想行为的意图呈统计学显著相关,解释了 52.9%的方差。基于这项研究,可以得出结论,MTM 为设计、实施和评估基于证据(基于理论)的冥想行为改变干预措施提供了一个实用的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7410/8671666/d6ace31a55e9/10.1177_2515690X211064582-fig1.jpg

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