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Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits
The growing popularity of mindfulness-based interventions (MBIs) has prompted exciting scientific research investigating their beneficial effects on well-being and health. Most mindfulness programs are provided as multi-faceted packages encompassing a set of different mindfulness techniques, each wi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314956/ https://www.ncbi.nlm.nih.gov/pubmed/32625133 http://dx.doi.org/10.3389/fpsyg.2020.01163 |
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author | Tang, Rongxiang Braver, Todd S. |
author_facet | Tang, Rongxiang Braver, Todd S. |
author_sort | Tang, Rongxiang |
collection | PubMed |
description | The growing popularity of mindfulness-based interventions (MBIs) has prompted exciting scientific research investigating their beneficial effects on well-being and health. Most mindfulness programs are provided as multi-faceted packages encompassing a set of different mindfulness techniques, each with distinct focus and mechanisms. However, this approach overlooks potential individual differences, which may arise in response to practicing various mindfulness techniques. The present study investigated preferences for four prototypical mindfulness techniques [focused attention (FA), open monitoring (OM), loving-kindness (LK), and body scan (BS)] and identified factors that may contribute to individual differences in these preferences. Participants without prior mindfulness experiences were exposed to each technique through audio-guided instructions and were asked to rank their preferences at the end of all practices. Results indicated that preferences for loving-kindness were predicted by empathy, and that females tended to prefer loving-kindness more than males. Conversely, preferences for open monitoring were predicted by nonreactivity and nonjudgment of present moment experiences. Additionally, higher state mindfulness was detected for individuals’ preferred technique relative to other alternatives. These findings suggest that individuals tend to prefer techniques compatible with their personalities, as the predictor variables encompass trait capacities specifically relevant to practicing these techniques. Together, our results suggest the possibility that assessing individual difference and then tailoring MBIs to individual needs could be a useful way to improve intervention effectiveness and subsequent outcomes. |
format | Online Article Text |
id | pubmed-7314956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73149562020-07-02 Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits Tang, Rongxiang Braver, Todd S. Front Psychol Psychology The growing popularity of mindfulness-based interventions (MBIs) has prompted exciting scientific research investigating their beneficial effects on well-being and health. Most mindfulness programs are provided as multi-faceted packages encompassing a set of different mindfulness techniques, each with distinct focus and mechanisms. However, this approach overlooks potential individual differences, which may arise in response to practicing various mindfulness techniques. The present study investigated preferences for four prototypical mindfulness techniques [focused attention (FA), open monitoring (OM), loving-kindness (LK), and body scan (BS)] and identified factors that may contribute to individual differences in these preferences. Participants without prior mindfulness experiences were exposed to each technique through audio-guided instructions and were asked to rank their preferences at the end of all practices. Results indicated that preferences for loving-kindness were predicted by empathy, and that females tended to prefer loving-kindness more than males. Conversely, preferences for open monitoring were predicted by nonreactivity and nonjudgment of present moment experiences. Additionally, higher state mindfulness was detected for individuals’ preferred technique relative to other alternatives. These findings suggest that individuals tend to prefer techniques compatible with their personalities, as the predictor variables encompass trait capacities specifically relevant to practicing these techniques. Together, our results suggest the possibility that assessing individual difference and then tailoring MBIs to individual needs could be a useful way to improve intervention effectiveness and subsequent outcomes. Frontiers Media S.A. 2020-06-18 /pmc/articles/PMC7314956/ /pubmed/32625133 http://dx.doi.org/10.3389/fpsyg.2020.01163 Text en Copyright © 2020 Tang and Braver. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Tang, Rongxiang Braver, Todd S. Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits |
title | Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits |
title_full | Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits |
title_fullStr | Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits |
title_full_unstemmed | Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits |
title_short | Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits |
title_sort | predicting individual preferences in mindfulness techniques using personality traits |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314956/ https://www.ncbi.nlm.nih.gov/pubmed/32625133 http://dx.doi.org/10.3389/fpsyg.2020.01163 |
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