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Enregistrement W2050106676 · doi:10.1176/pn.43.15.0038a

Being Artistic and Unconventional May Aid Depression Recovery

2008· article· en· W2050106676 sur OpenAlexaboutno aff
Joan Arehart-Treichel

Notice bibliographique

RevuePsychiatric News · 2008
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueArt Therapy and Mental Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAgreeablenessConscientiousnessExtraversion and introversionBig Five personality traitsPersonalityPsychologyOpenness to experiencePersonality psychologyMental healthClinical psychologyNeuroticismDepression (economics)PsychotherapistPsychiatrySocial psychology

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Clinical & Research NewsFull AccessBeing Artistic and Unconventional May Aid Depression RecoveryJoan Arehart-TreichelJoan Arehart-TreichelPublished Online:1 Aug 2008https://doi.org/10.1176/pn.43.15.0038aPaint those "blues" pink! Or maybe a sunburst orange.... Who would have thought that being artistic, or dreamy and imaginative, would have anything to do with depressed persons recovering their mental good health? Yet out of sundry personality traits, it is precisely these, along with being funky and adventurous, that a new study has linked with depression recovery.The study was headed by R. Michael Bagby, Ph.D., director of clinical research at the Center for Addiction and Mental Health in Toronto. Results were published in the June Canadian Journal of Psychiatry.Bagby and his colleagues studied 174 individuals who had been diagnosed with a major depression. Each was evaluated with the revised NEO Personality Inventory, one of the most widely used personality-evaluation yardsticks and one that is applicable across languages, cultures, and countries. The five major personality traits captured by the inventory are neuroticism, extraversion, openness, agreeableness, and conscientiousness; these five traits in turn encompass 30 personality facets.The subjects were then randomized to receive either an antidepressant or cognitive-behavioral therapy (CBT) treatment for a 16- or 20-week period.Both groups experienced, on average, significant reductions in depression. However, individuals within each group varied in their treatment response, so the researchers assessed whether their personalities had anything to do with this variation and discovered that this was in fact the case.Out of the five personality traits, only one—openness—was significantly linked with treatment outcome. Specifically, higher scores on openness at pretreatment were significantly linked with less depression at treatment completion than were lower scores on this trait. Moreover, higher scores on four particular facets of openness—being artistic, dreamy and imaginative, adventurous, and unconventional—were also significantly linked with less depression at treatment completion.And when the researchers assessed whether there were any significant personality-trait–treatment-response interactions, they found one—for neuroticism. Specifically, subjects who had scored higher on neuroticism at pretreatment and who then received an antidepressant experienced significantly less depression at treatment completion than did those subjects who had scored higher on neuroticism at pretreatment and who then received CBT.And when the researchers looked to see whether there were significant personality-facet-treatment-response interactions, they found three. They concerned the facets of trust, straightforwardness, and tender-mindedness, all of which come under the agreeableness trait. More specifically, those subjects who scored higher on tender-mindedness, or lower on trust or straightforwardness, and who then received an antidepressant experienced significantly less depression at treatment completion than did those subjects who had scored comparably on these three facets at pretreatment and who then received CBT.Some of these results did not surprise Bagby and his group, they said in their study report. For instance, the reason why neurotic depressed subjects who got an antidepressant tended to be less depressed after treatment than neurotic depressed subjects who got CBT could well be due to antidepressants stabilizing turbulent negative emotions better than CBT does.But other results did come as a surprise, they acknowledged. For example, they had no explanation for why tender-minded subjects, that is, those who were sympathetic and soft-hearted, and who received an antidepressant had less depression at the end of treatment than did tender-minded subjects who received CBT.In any event, Bagby and his team believe that depressed patients' treatment responses might be optimized if their personalities are taken into consideration. For instance, they suggested, it might be wise to first give neurotic depressed patients an antidepressant in order to stabilize their negative emotions and then to follow-up with some CBT sessions when they are calmer and more capable of deploying CBT strategies. Also, "as CBT has been demonstrated to confer a slight advantage over antidepressant medication in the prevention of depression recurrence," the researchers noted," this sequencing strategy maximizes the benefits of the superior effects of SSRIs in the treatment of the acute episode and the protective effects of CBT for recurrence."The study was funded by the Ontario Mental Health Foundation, Canadian Institute of Health Research, and U.S. National Institute on Aging."Personality and Differential Treatment Response in Major Depression: A Randomized Controlled Trial Comparing Cognitive-Behavioral Therapy and Pharmacotherapy" is posted at<www.cpa-apc.org> under the June issue. ▪ ISSUES NewArchived

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,724
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,030
Tête enseignante GPT0,257
Écart entre enseignants0,227 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
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
Publié2008
Routes d'admission1
Résumé présentoui

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