Dispositional mindfulness facets predict the efficiency of attentional networks

Several studies in mindfulness and meditation re- search have used the Attentional Network Task (ANT) to as- sess changes in the efficiency of attentional networks. The approaches used for mental training, the experimental designs, and the results in such studies are however heterogeneous, and in most cases, do not involve an assessment of dispositional mindfulness in its different facets. In this article,we originally report a study in which performances in the Attention Network Test Interactions (ANTI), a revised version of the ANT, are predicted by dispositional mindfulness facets (assessed through the five facets mindfulness questionnaire) in a population naïve to meditation. Regression analyses re- vealed that the mindfulness facets observe and acting with awareness were effective predictors of the efficiency of the three assessed attentional networks. Specifically, we found that observe scores predicted higher alerting scores. We also found that a higher acting with awareness score predicted slower response times when the executive control system was involved. Our results thus appear to contrast with other studies finding faster response times with mindfulness medi- tation training. More generally, our findings suggest that a higher dispositional mindfulness does not necessarily impli- cate an increased attentional efficiency in terms of response times.

Publication type: 
Articolo
Author or Creator: 
Di Francesco
Simona Arianna
Simione
Luca
L'opez-Ram'on
Maria Fernanda
Belardinelli
Marta Olivetti
Lupi'a~nez
Juan
Raffone
Antonino
Publisher: 
Springer Science and Business Media, New York, NY , Stati Uniti d'America
Source: 
Mindfulness (N. Y., Print) (2016). doi:10.1007/s12671-016-0634-5
info:cnr-pdr/source/autori:Di Francesco, Simona Arianna and Simione, Luca and L'opez-Ram'on, Maria Fernanda and Belardinelli, Marta Olivetti and Lupi'a~nez, Juan and Raffone, Antonino/titolo:Dispositional mindfulness facets predict the efficiency of atten
Date: 
2016
Resource Identifier: 
http://www.cnr.it/prodotto/i/366464
https://dx.doi.org/10.1007/s12671-016-0634-5
info:doi:10.1007/s12671-016-0634-5
http://link.springer.com/10.1007/s12671-016-0634-5
Language: 
Eng