Association entre la passion et le fonctionnement optimal chez les personnes autistes : le Modèle dualiste de la passion

Titre original en anglais : Association Between Passion and Optimal Functioning in Autistic Individuals: The Dualistic Model of Passion

Cette publication est incluse dans le projet « Contributions académiques de personnes autistes sur l’autisme ». un auteur·ice de cette publication est identifié·e comme autiste dans le projet.

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Meilleur, A., Cusson, N., Vallerand, R. J., Couture, M., Gilbert, E., Soulières, I., & Bussières, E. L. (2024). Association Between Passion and Optimal Functioning in Autistic Individuals: The Dualistic Model of Passion. Autism in Adulthood, 8(3), 482-494. https://doi.org/10.1089/aut.2024.0166

Date de publication: 25/10/2024 Ajout dans AutiHub: 11/09/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
7
Auteur·ices de la publication identifié·es comme autistes
1 / 7 (14,3 %)
  1. Alexa Meilleur
  2. Noémie Cusson *
  3. Robert J. Vallerand
  4. Mélanie Couture
  1. Elsa Gilbert
  2. Isabelle Soulières
  3. Eve-Line Bussières

Résumé

Contexte : Les personnes autistes ont des intérêts intenses dans lesquels elles investissent une quantité importante de temps et d'énergie. Les intérêts intenses (c.-à-d., les passions) et leur incidence sur le fonctionnement optimal ont été étudiés pour la première fois à l'aide du Modèle dualiste de la passion (MDP). Le MDP postule que les passions harmonieuse (PH) et obsessionnelle (PO) peuvent prédire le fonctionnement optimal (bien-être, contribution à la société et performance). Alors que la PH est décrite comme une forme équilibrée et flexible d'engagement envers un sujet ou une activité, la PO est définie comme une forme rigide d'engagement qui a une incidence négative sur le fonctionnement optimal. Méthodes : Des personnes autistes âgées de 14 à 33 ans (n = 108) ont participé à une étude quantitative en ligne et ont rempli des mesures d'autoévaluation relatives à leur intérêt préféré du moment (c.-à-d., PH, PO, émotions, flow, conflit, rumination et fonctionnement optimal). Les objectifs étaient de caractériser la passion et de déterminer si la PH et la PO prédisaient les émotions, le flow, le conflit, la rumination et le fonctionnement optimal. Des analyses descriptives (moyennes, écarts-types et corrélations par paires) ainsi qu'un modèle d'analyse de cheminement ont été réalisés pour répondre à ces objectifs. Résultats : Les résultats ont révélé que les participants étaient très passionnés par leur intérêt préféré, présentant des niveaux relativement élevés de PH et de PO pour des activités telles que les jeux vidéo, l'acquisition de connaissances et les arts créatifs. La modélisation par équations structurelles a montré que, comme le prédit le MDP, la PH était associée aux émotions positives et au flow. À son tour, la PO était positivement associée au conflit, à la rumination et aux émotions négatives. Enfin, la PH et la PO étaient associées respectivement de manière positive et négative au fonctionnement optimal. Conclusion : Les résultats suggèrent que les intérêts intenses peuvent être définis comme une passion à l'aide du MDP. Le MDP offre un cadre théorique pouvant rendre compte de la dualité des intérêts intenses et prédire les résultats psychologiques et fonctionnels. Apprendre à favoriser des niveaux plus élevés de PH pour les intérêts intenses peut améliorer le bien-être et promouvoir des expériences psychologiques positives.

Background: Autistic individuals have intense interests in which they invest a significant amount of time and energy. Intense interests (i.e., passions) and their impact on optimal functioning were investigated for the first time using the Dualistic Model of Passion (DMP). The DMP posits that harmonious (HP) and obsessive passions (OP) can predict optimal functioning (well-being, contribution to society, and performance). Whereas HP is described as a balanced and flexible form of engagement toward a topic or an activity, OP is defined as a rigid form of engagement that negatively impacts optimal functioning. Methods: Autistic individuals aged 14–33 (n = 108) participated in an online quantitative study and completed self-report measures relating to their favorite interest of the moment (i.e., HP, OP, emotions, flow, conflict, rumination, and optimal functioning). Aims were to characterize passion and to determine whether HP and OP predicted emotions, flow, conflict, rumination, and optimal functioning. Descriptive analyses (means, standard deviations, and pairwise correlations) and a path analysis model were performed to answer these aims. Results: Results revealed that participants were highly passionate for their favorite interest, showing relatively high levels of HP and OP for activities such as video games, knowledge acquisition, and creative arts. Structural equation modeling showed that, as predicted by the DMP, HP was associated with positive emotions and flow. In turn, OP was positively associated with conflict, rumination, and negative emotions. Finally, HP and OP were positively and negatively associated with optimal functioning respectively. Conclusion: Findings suggest that intense interests can be defined as passion using the DMP. The DMP offers a theoretical framework that can account for the duality of intense interest and predict psychological and functional outcomes. Learning to foster higher levels of HP for intense interests can improve well-being and promote positive psychological experiences.

Bibliographie citée par cette référence

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Références citées
106
Avec un DOI
96
Sans DOI, à partir du texte brut de la bibliographie
10
8 / 106 (7,5 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
1 / 106 (0,9 %)
Références avec noms d’auteurices détectés
105 / 106 (99,1 %)
Sans nom d’auteurice détecté
1
Sans titre structuré
0
Sans identifiant stable
9
Références avec noms bruts d’auteurices restant à vérifier
0
Références avec problème de récupération des métadonnées externes
0
Ces indicateurs portent sur les références citées affichées sur cette page, après fusion des doublons techniques. Une référence sans DOI peut quand même soutenir les statistiques d’auteurices lorsqu’un titre et des noms d’auteurices sont disponibles.
Noms d’auteurices détectés dans la bibliographie citée
392
À partir du DOI ou de métadonnées externes
392
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
0
Noms bruts restant à vérifier
0
140 / 392 (35,7 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 252 / 392 (64,3 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
17 / 392 (4,3 %)
Calculé sur l’ensemble des noms d’auteurices détectés dans la bibliographie citée. Parmi les noms associés à un·e auteurice déjà présent·e dans AutiHub : 17 / 140 (12,1 %). Personnes distinctes identifiées comme autistes : 13 / 323 (4,0 %).
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