Dataset Information

Self-reported trait mindfulness and affective reactivity: a motivational approach using multiple psychophysiological measures.

ABSTRACT: As a form of attention, mindfulness is qualitatively receptive and non-reactive, and is thought to facilitate adaptive emotional responding. One suggested mechanism is that mindfulness facilitates disengagement from an affective stimulus and thereby decreases affective reactivity. However, mindfulness has been conceptualized as a state, intervention, and trait. Because evidence is mixed as to whether self-reported trait mindfulness decreases affective reactivity, we used a multi-method approach to study the relationship between individual differences in self-reported trait mindfulness and electrocortical, electrodermal, electromyographic, and self-reported responses to emotional pictures. Specifically, while participants (N = 51) passively viewed pleasant, neutral, and unpleasant IAPS pictures, we recorded high-density (128 channels) electrocortical, electrodermal, and electromyographic data to the pictures as well as to acoustic startle probes presented during the pictures. Afterwards, participants rated their subjective valence and arousal while viewing the pictures again. If trait mindfulness spontaneously reduces general emotional reactivity, then for individuals reporting high rather than low mindfulness, response differences between emotional and neutral pictures would show relatively decreased early posterior negativity (EPN) and late positive potential (LPP) amplitudes, decreased skin conductance responses, and decreased subjective ratings for valence and arousal. High mindfulness would also be associated with decreased emotional modulation of startle eyeblink and P3 amplitudes. Although results showed clear effects of emotion on the dependent measures, in general, mindfulness did not moderate these effects. For most measures, effect sizes were small with rather narrow confidence intervals. These data do not support the hypothesis that individual differences in self-reported trait mindfulness are related to spontaneous emotional responses during picture viewing.

SUBMITTER: Cosme D

PROVIDER: S-EPMC4352075 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Self-reported trait mindfulness and affective reactivity: a motivational approach using multiple psychophysiological measures.

Cosme Danielle D Wiens Stefan S

PloS one 20150306 3

As a form of attention, mindfulness is qualitatively receptive and non-reactive, and is thought to facilitate adaptive emotional responding. One suggested mechanism is that mindfulness facilitates disengagement from an affective stimulus and thereby decreases affective reactivity. However, mindfulness has been conceptualized as a state, intervention, and trait. Because evidence is mixed as to whether self-reported trait mindfulness decreases affective reactivity, we used a multi-method approach ...[more]

PMID: 25749431

Similar Datasets

Project description:Mindfulness-based interventions have proved effective in reducing various clinical symptoms and in improving general mental health and well-being. The investigation of the mechanisms of therapeutic change needs methods for assessment of mindfulness. Existing self-report measures have, however, been strongly criticized on various grounds, including distortion of the original concept, response bias, and other. We propose a psychophysiological method for the assessment of the mindfulness learned through time-limited mindfulness-based therapy by people who undergo meditation training for the first time. We use the individual pre-post-therapy changes (dERPi) in the event-related brain potentials (ERPs) recorded in a passive meditation task as a measure of increased mindfulness. dERPi is computed through multivariate assessment of individual participant's ERPs. We tested the proposed method in a group of about 70 recurrently depressed participants, randomly assigned in 1.7:1 ratio to mindfulness-based cognitive therapy (MBCT) or cognitive therapy (CT). The therapy outcome was measured by the long-term change (dDS) relative to baseline in the depression symptoms (DS) assessed weekly, for 60 weeks, by an online self-report questionnaire. We found a strong, highly significant, negative correlation (r = -0.55) between dERPi (mean = 0.4) and dDS (mean = -0.7) in the MBCT group. Compared to this result, the relationship between dDS and the other (self-report) measures of mindfulness we used was substantially weaker and not significant. So was also the relationship between dERPi and dDS in the CT group. The interpretation of dERPi as a measure of increased mindfulness was further supported by positive correlations between dERPi and the other measures of mindfulness. In this study, we also replicated a previous result, namely, the increase (dLCNV) of the late contingent negative variation (LCNV) of the ERP in the MBCT group, but not in the control group (in this case, CT). We interpreted dLCNV as a measure of increased meditative concentration. The relationship between dLCNV and dDS was, however, very week, which suggests that concentration might be relatively unimportant for the therapeutic effect of mindfulness. The proposed psychophysiological method could become an important component of a "mindfulness test battery" together with self-report questionnaires and other newly developed instruments.

Project description:Mindfulness has been described as an inherent human capability that can be learned and trained, and its improvement has been associated with better health outcomes in both medicine and psychology. Although the role of practice is central to most mindfulness programs, practice-related improvements in mindfulness skills is not consistently reported and little is known about how the characteristics of meditative practice affect different components of mindfulness. The present study explores the role of practice parameters on self-reported mindfulness skills. A total of 670 voluntary participants with and without previous meditation experience (n = 384 and n = 286, respectively) responded to an internet-based survey on various aspects of their meditative practice (type of meditation, length of session, frequency, and lifetime practice). Participants also completed the Five Facets Mindfulness Questionnaire (FFMQ), and the Experiences Questionnaire (EQ). The group with meditation experience obtained significantly higher scores on all facets of FFMQ and EQ questionnaires compared to the group without experience. However different effect sizes were observed, with stronger effects for the Observing and Non-Reactivity facets of the FFMQ, moderate effects for Decentering in EQ, and a weak effect for Non-judging, Describing, and Acting with awareness on the FFMQ. Our results indicate that not all practice variables are equally relevant in terms of developing mindfulness skills. Frequency and lifetime practice--but not session length or meditation type--were associated with higher mindfulness skills. Given that these 6 mindfulness aspects show variable sensitivity to practice, we created a composite index (MINDSENS) consisting of those items from FFMQ and EQ that showed the strongest response to practice. The MINDSENS index was able to correctly discriminate daily meditators from non-meditators in 82.3% of cases. These findings may contribute to the understanding of the development of mindfulness skills and support trainers and researchers in improving mindfulness-oriented practices and programs.

Project description:Objectives:Previous research indicates that mindfulness meditation reduces anxiety and depression and enhances well-being. We examined the impact of app-delivered mindfulness meditation on resting state functional MRI (fMRI) connectivity among physician assistant (PA) students and surgery residents. Methods:PA students and residents were randomized to receive a popular meditation app or to wait-list control group. Before and after the 8-week meditation period, we acquired fMRI scans of participants' resting state, and participants completed a self-report measure of mindfulness. We used a 2?×?2, within- and between-group factorial design and leveraged a whole-brain connectome approach to examine changes in within- and between-network connectivity across the entire brain, and to examine whether changes in connectivity were associated with app use or to changes in self-reported mindfulness. Results:Meditation practitioners exhibited significantly stronger connectivity between the frontoparietal network and the left and right nucleus accumbens and between the default mode (DMN) and salience networks, among other regions. Mindfulness practice time was correlated with increased connectivity between the lateral parietal cortex and the supramarginal gyrus, which were also positively correlated with increased scores on the "Describing" subscale of the Five Facet Mindfulness Questionnaire between baseline and post-meditation. These findings are consistent with previous research indicating that mindfulness-based interventions alter functional connectivity within the DMN and between the DMN and other networks both during meditation and at rest, as well as increased connectivity in systems important for emotion and reward. Conclusions:Recent commentaries call for healthcare provider and trainee wellness programs that are sustainable and preventive in nature rather than reactive; these data indicate that even brief sessions of app-delivered mindfulness practice are associated with functional connectivity changes in a dose-dependent manner.

Project description:Inability to efficiently deal with emotionally laden situations, often leads to poor interpersonal interactions. This adversely affects the individual's psychological functioning. A higher trait emotional intelligence (EI) is not only associated with psychological wellbeing, educational attainment, and job-related success, but also with willingness to seek professional and non-professional help for personal-emotional problems, depression and suicidal ideation. Thus, it is important to identify low (EI) individuals who are more prone to mental health problems than their high EI counterparts, and give them the appropriate EI training, which will aid in preventing the onset of various mood related disorders. Since people may be unaware of their level of EI/emotional skills or may tend to fake responses in self-report questionnaires in high stake situations, a system that assesses EI using physiological measures can prove affective. We present a multimodal method for detecting the level of trait Emotional intelligence using non-contact based autonomic sensors. To our knowledge, this is the first work to predict emotional intelligence level from physiological/autonomic (cardiac and respiratory) response patterns to emotions. Trait EI of 50 users was measured using Schutte Self Report Emotional Intelligence Test (SSEIT) along with their cardiovascular and respiratory data, which was recorded using FMCW radar sensor both at baseline and while viewing affective movie clips. We first examine relationships between users' Trait EI scores and autonomic response and reactivity to the clips. Our analysis suggests a significant relationship between EI and autonomic response and reactivity. We finally attempt binary EI level detection using linear SVM. We also attempt to classify each sub factor of EI, namely-perception of emotion, managing own emotions, managing other's emotions, and utilization of emotions. The proposed method achieves an EI classification accuracy of 84%, while accuracies ranging from 58 to 76% is achieved for recognition of the sub factors. This is the first step towards identifying EI of an individual purely through physiological responses. Limitation and future directions are discussed.

Project description:Mindfulness interventions have been shown to improve several subcomponents of attention; however, the psychological mechanisms driving these improvements are unknown. Mindfulness interventions train individuals to monitor present moment experiences while adopting an attitude of acceptance toward these experiences. We conducted a theoretically driven randomized controlled trial to test the putative mechanisms of mindfulness training that drive improvements in attentional control. Participants were randomly assigned to 1 of 3 conditions: (a) monitor and accept (MA) training, a standard 8-week mindfulness-based stress reduction (MBSR) intervention that included cultivation of both monitoring and acceptance skills; (b) monitor only (MO) training, a well-matched modified 8-week MBSR-adapted intervention that focused on monitoring skills only; or (c) no treatment (NT) control. Momentary attentional control was measured via ecological momentary assessment for 3 days at baseline and postintervention. Trait attentional control was assessed at baseline and postintervention using traditional self-report. Participants also completed a dichotic listening task to assess sustained attention at baseline and postintervention. We found that MA and MO participants improved in momentary and trait attentional control (but not attention task performance) relative to NT participants. Analyses of indirect effects were consistent with the possibility that increased momentary attentional control partially accounts for MA/MO intervention-related increases in trait attentional control. This randomized controlled trial provides one of the first experimental tests of the mechanisms of mindfulness interventions that drive improvements in attention outcomes. These findings support the notion that present-focused monitoring skills training drives mindfulness intervention-related improvements in momentary attentional control, which in turn fosters greater trait attentional control. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Project description:BackgroundObtaining patients' views of their health and outcomes of interventions utilising patient-reported outcome measures (PROMs) is a well-established method, but there is still uncertainty about the impact of PROMs on services and patient care. Studies are now needed of alternative ways of implementing PROMs. This paper describes a case study of the introduction of a new PROM to assess musculoskeletal (MSK) problems, known as the Musculoskeletal Health Questionnaire (MSK-HQ).MethodsFollowing an invitation from the Arthritis Research UK (ARUK), 11 groups and organisations agreed to become 'partners' in piloting the MSK-HQ. Twenty-nine interviews and a focus group were carried out with key informants from the partners. Interviews were supplemented with some documentary evidence of partners' meetings. Data were coded and analysed with NVivo software V.10. Analysis was carried out via a framework method.ResultsParticipants reported positive evidence that the MSK-HQ is feasible and practical for use in patient care with content that helped health professionals identify and address patients' main presenting problems. Although mediated and reported through health professionals' judgments, the questionnaire was also seen as very relevant and acceptable to a wide spectrum of patients.There was also broad support for the view that whilst the MSK-HQ is relevant to individual patient care, it could also, when aggregated, reflect the experiences of patients as a group and be used as evidence for third parties concerned with the provision and commissioning of services.The main difficulties revealed by the case study were in the form of logistics and sustainability. It was recognised that electronic systems would be more effective for administration and data processing but they were not feasible to develop and implement within reasonable timelines and available budgets. A sustainable approach to using the PROM required significant long-term commitment of budget, a coherent system, and active support from diverse organisations.ConclusionsThe current study supports the view that a bottom-up approach is a promising method to generate PROM-related insights that are relevant to patients and health professionals. The partnership approach to developing and using PROMs may have wider relevance and potential as a model of implementation.

Dataset Information

Self-reported trait mindfulness and affective reactivity: a motivational approach using multiple psychophysiological measures.

Publications

Self-reported trait mindfulness and affective reactivity: a motivational approach using multiple psychophysiological measures.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets