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Enregistrement W7073760910

Being Mindfully Present in the Moment: Influences on Psychological Functioning

2013· article· en· W7073760910 sur OpenAlexaboutno aff

Notice bibliographique

RevueResearchArchive–Te Puna Rangahau (Victoria University of Wellington) · 2013
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueSeismic Imaging and Inversion Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMindfulnessTraitPsychological interventionConstruct (python library)MindsetMental healthPremise
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Mindfulness is defined as a fundamental way of being, a way of relating to all of one‟s experiences whether positive, negative, or neutral, with an attentive, curious, and nonevaluative mindset (Kabat-Zinn, 2003; Williams, Teasdale, Segal, & Kabat-Zinn, 2007). The basic premise underlying mindfulness is that accepting moment-to-moment experiences as they arise, with an open-minded disposition, helps protect against psychological symptoms such as anxiety, depression, stress, and adverse ruminative thoughts (Baer, 2003; Hofmann, Sawyer, Witt, & Oh, 2010). In addition, mindfulness is also thought to enhance psychological health and wellbeing, such as increases in emotional intelligence, body image, and positive mental health (Bohlmeijer, ten Klooster, Fledderus, Veehof, & Baer, 2011; Stewart, 2004).\nExtant mindfulness literature has largely focused on the outcomes that are associated with mindfulness-based interventions designed to enhance an individual‟s state of mindfulness, though, less is known about naturally occurring dispositional mindfulness. According to some researchers, mindfulness manifesting as a trait (or individual difference characteristic) is an inherent human capacity that varies between individuals (Brown & Ryan, 2003; Kabat-Zinn, 1990). To examine the complexities of trait mindfulness, it is necessary to have a comprehensive understanding of the operationalisation of the construct. To date, however, methods for assessing mindfulness have received little attention in psychological research (Baer, Smith, Hopkins, Krietemeyer, & Toney, 2006).\nAcross a series of three empirical studies (Chapters 2 through 4), this thesis aimed to explore the naturally occurring construct of trait mindfulness using two measures designed to capture this multifaceted phenomenon – the Five-Facet Mindfulness Questionnaire (FFMQ; Baer et al., 2006) and the Trait Toronto Mindfulness Scale (Trait TMS; Davis, Lau, & Cairns, 2009). Study 1 (Chapter 2) began with a psychometric analysis of the FFMQ, and then explored how the tendency to be mindful related to both positive and negative psychological outcomes. Contrary to expectations, a confirmatory factor analysis of the FFMQ in this sample yielded a 2-factor model of mindfulness (Nonjudging Awareness and Describing) as opposed to the five factors proposed by Baer et al. (2006). Further analyses revealed that the factor of Nonjudging Awareness appeared to be the most potent aspect of mindfulness that positively predicted happiness, life satisfaction, and adaptive coping (positive psychological outcomes) and negatively predicted depression, anxiety, and maladaptive coping (negative psychological outcomes).\nIn Study 2 (Chapter 3), both the FFMQ and the Trait TMS were compared and tested for factor structure across three points in time on a community sample of individuals (N = 319). Both measurement invariance and convergent validity were explored, with results supporting expectations. First, results yielded a 5-factor structure of the FFMQ and a 2-factor structure of the Trait TMS. Second, factorial invariance on both mindfulness measures was evidenced across three time points. Third, results indicated moderate construct overlap between these two trait measures of mindfulness, i.e., they tapped a similar construct, as was expected.\nStudy 3 (Chapter 4) sought to extend on the previous two studies‟ findings by 1) exploring whether trait mindfulness was positively predictive of positive psychological outcomes and negatively predictive of negative outcomes across time, and 2) comparing the psychological functioning of two groups – individuals with and without meditation experience – across time. Using the same sample from Study 2, trait mindfulness, as measured by the FFMQ and Trait TMS, supported hypotheses, though some predicted findings appeared to be manifested between the second and third time points only. Moreover, results indicated that meditation experience may protect against maladaptive psychological outcomes such as depression and anxiety, while increasing feelings of subjective happiness and life satisfaction (supporting traditional meditation ideology and current empirical literature).\nIn combination, the present research supports and contributes novel perspectives to the existing body of mindfulness literature by suggesting that establishing ways to amplify the naturally occurring trait of mindfulness, although challenging, will prove fertile within Western clinical psychology, which looks to influence an individual‟s psychological wellbeing. Chapter 5 concludes this thesis with a discussion of the implications of the combined series of studies. Strengths and limitations of this research were considered, and future directions were proposed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,240
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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