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Predicting Individual Preferences in Mindfulness Techniques Using Personality Traits

机译:预测使用人格特征的谨慎技术中的个人喜好

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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.
机译:令人越来越普遍的干预措施(MBIS)促使令人兴奋的科学研究调查其对健康和健康的有益影响。大多数思想计划都作为多方面的包装作为多方面的包装,包括一系列不同的思想技术,每个技术都具有不同的重点和机制。然而,这种方法忽略了潜在的个体差异,这可能是为了响应练习各种心态技术而产生的。本研究研究了四种原型思想技术的偏好[重点关注(FA),开放监测(OM),爱情(LK)和身体扫描(BS)],并确定了可能导致这些偏好中的个体差异的因素。没有现有技术的参与者通过音频指导指示暴露于每种技术,并被要求在所有实践结束时对其偏好进行排名。结果表明,同情心预测了对慈爱的偏好,女性倾向于比男性更喜欢爱情。相反,通过非反应性和非诊断对现时经验的不反应来预测对开放监测的偏好。此外,对于相对于其他替代方案,为个人的优选技术检测了更高的状态正常。这些发现表明,个人倾向于更喜欢与其个性兼容的技术,因为预测因子变量包括特异性与练习这些技术的特性能力。我们的结果表明,评估个人差异的可能性,然后定制MBIS对个人需求的可能性可能是提高干预效果和后续结果的有用方式。

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