4.3 Article

How Does Mindfulness Work? Exploring a Theoretical Model Using Samples of Meditators and Non-meditators

期刊

MINDFULNESS
卷 9, 期 3, 页码 860-870

出版社

SPRINGER
DOI: 10.1007/s12671-017-0826-7

关键词

Mindfulness; Mechanisms; Multi-sample analyses; Psychological model; Meditators

资金

  1. PROMOSAM: research in processes, mechanisms and psychological treatments for mental health promotion [PSI2014-56303-REDT]
  2. Network for Prevention and Health Promotion in primary Care (RedIAPP)
  3. Universitat de Valencia (VLC-Campus Atraccio de talent)
  4. Instituto de Salud Carlos III of the Ministry of Economy and Competitiveness (Spain)
  5. ISCIII [CD16/00147]

向作者/读者索取更多资源

Several models have been proposed to explain the effects of mindfulness training on health and well-being, including several potential mechanisms. The goal of the present study is to empirically test a model of mindfulness mechanisms by comparing samples of meditators and non-meditators. Multi-sample path structural equation models were estimated and tested in two samples, one with 386 meditators and the other with 284 participants with no meditation experience. Results showed higher scores on the five mechanisms in the sample of meditators compared to non-meditators. It showed a greater effect of attentional control on body awareness and non-reactivity and of body awareness on non-reactivity, in meditators compared to non-meditators. The effect of attentional control on reappraisal, however, was lower for this group. The model was useful for explaining mindfulness in both meditators and non-meditators, and it was sensitive in identifying the elements of the process that differ in these two collectives. This study offers preliminary evidence about the important role of body awareness as a key mechanism in mindfulness. Therefore, body awareness should be included in future models designed to understand the underpinnings of mindfulness.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据