Manoj Sharma, Matthew Asare, Ram Lakhan, Amar Kanekar, Vinayak K Nahar, Sheniz Moonie
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Hierarchical multiple regression revealed that, after controlling for demographic covariates, the MTM constructs of participatory dialogue (β = 0.153; <i>P</i> = .002) and behavioral confidence (β = 0.479; <i>P</i> < .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; <i>P</i> < .001) and changes in the social environment (β = 0.395; <i>P</i> < .001) were statistically significant and accounted for 52.9% of the variance in the intent for maintaining meditation behavior. 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引用次数: 1
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欢迎。行为理论在理解冥想行为方面一直没有得到充分的利用。这项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开始和保持冥想行为的意图。采用横断面设计,通过在线调查(n = 330),使用基于MTM的48项面部和内容有效量表。内部一致性(Cronbach’s alpha > 0.70)和使用结构方程模型对子量表进行结构验证均可接受。层次多元回归显示,在控制人口统计协变量后,MTM构建了参与式对话(β = 0.153;P = .002)和行为的信心(β= 0.479;p p p
Can the Multi-Theory Model (MTM) of Health Behavior Change Explain the Intent for People to Practice Meditation?
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; P = .002) and behavioral confidence (β = 0.479; P < .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; P < .001) and changes in the social environment (β = 0.395; P < .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.