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Online Flow Experience: The Contribution of Distinct Depressive Profiles.

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Titel: Online Flow Experience: The Contribution of Distinct Depressive Profiles.
Autoren: Footitt, Trent1, Gourdouros, Mary1, Poulus, Dylan R.2, Carras, Michelle Colder3, Zarate, Daniel1, Schivinski, Bruno4, Stavropoulos, Vasileios1 vasileios.stavropoulos@rmit.edu.au
Quelle: Canadian Journal of Behavioural Science. Oct2025, Vol. 57 Issue 4, p298-310. 13p.
Schlagwörter: *DATA analysis, *QUESTIONNAIRES, *INTERNET, *DESCRIPTIVE statistics, *ONE-way analysis of variance, *STATISTICS, SATISFACTION, CRONBACH'S alpha, PSYCHOLOGICAL well-being, STRUCTURAL equation modeling, LONGITUDINAL method, MOTIVATION (Psychology), DIGITAL media, PSYCHOLOGICAL stress, DATA analysis software, MENTAL depression, VIDEO games, SELF-perception
Abstract (English): Depressive symptoms have been associated with how an individual is involved with their online activity, particularly their experience of the balance between their skills and the online challenges they may encounter. Interestingly, the occurrence of different depressive typologies has been supported, whilst the concept of online flow has been introduced to describe immersive engagement with online tasks/actions due to experiencing challenges. To assess such hypotheses, this study aims to determine the potentially distinct depressive profiles best describing a normative sample of gamers whilst also assessing how these may vary in their reported online flow levels both concurrently and longitudinally. The sample included 565 gamers ranging from 12 to 68 years old, who were longitudinally assessed in the community, 6 months apart, at two different timepoints. Their depressive and online flow behaviours were examined via the Depression, Anxiety, and Stress Scale and the Online Flow Questionnaire, respectively. Advanced latent class analyses indicated five distinct depressive profiles: Mild Depression With Low Self-Deprecation (16.6%), More Severe Depression With High Devaluation of Life (11.9%), No Depression With Low Motivation/Self- Esteem (10.1%), High Self-Image/Life Satisfaction (54.2%), and Moderate Depression With High Self- Deprecation (7.26%). Furthermore, a significant difference in concurrent and prospective online flow scores between different depressive profiles was revealed. Results support that individuals experiencing higher online flow may differ regarding their depressive symptoms, with significant implications for assessment and intervention practice. [ABSTRACT FROM AUTHOR]
Abstract (French): Les symptômes dépressifs ont été associés à la façon dont une personne est impliquée dans son activité en ligne, en particulier son expérience de l'équilibre entre ses compétences et les défis en ligne qu'elle peut rencontrer. Fait intéressant, la présence de différentes typologies dépressives a été corroborée, tandis que le concept de flux en ligne a été introduit pour décrire l'engagement immersif avec des tâches/actions en ligne en raison de difficultés rencontrées. Pour évaluer ces hypothèses, cette étude vise à déterminer les profils dépressifs potentiellement distincts qui décrivent le mieux un échantillon normatif de joueurs, tout en évaluant la façon dont ces profils peuvent varier dans leurs niveaux de flux en ligne rapportés, à la fois simultanément et longitudinalement. L'échantillon comprenait 565 joueurs âgés de 12 à 68 ans, qui ont été évalués longitudinalement dans la communauté, à 6 mois d'intervalle, à deux moments différents. Leurs comportements dépressifs et de flux en ligne ont été examinés à l'aide de l'échelle de dépression, d'anxiété et de stress et du questionnaire de flux en ligne, respectivement. Des analyses avancées de classes latentes ont révélé cinq profils dépressifs distincts : Dépression légère avec faible dépréciation de soi (16,6%), dépression plus grave avec forte dévalorisation de la vie (11,9%), pas de dépression avec faible motivation/estime de soi (10,1%), image de soi/satisfaction de la vie élevée (54,2%) et dépression modérée avec forte dépréciation de soi (7,26%). De plus, une différence significative dans les scores de flux en ligne simultanés et prospectifs entre les différents profils dépressifs a été révélée. Les résultats confirment que les personnes ayant un flux en ligne plus élevé peuvent présenter des symptômes dépressifs différents, ce qui a des implications significatives pour l'évaluation et la pratique d'intervention [ABSTRACT FROM AUTHOR]
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Beschreibung
Abstract:Depressive symptoms have been associated with how an individual is involved with their online activity, particularly their experience of the balance between their skills and the online challenges they may encounter. Interestingly, the occurrence of different depressive typologies has been supported, whilst the concept of online flow has been introduced to describe immersive engagement with online tasks/actions due to experiencing challenges. To assess such hypotheses, this study aims to determine the potentially distinct depressive profiles best describing a normative sample of gamers whilst also assessing how these may vary in their reported online flow levels both concurrently and longitudinally. The sample included 565 gamers ranging from 12 to 68 years old, who were longitudinally assessed in the community, 6 months apart, at two different timepoints. Their depressive and online flow behaviours were examined via the Depression, Anxiety, and Stress Scale and the Online Flow Questionnaire, respectively. Advanced latent class analyses indicated five distinct depressive profiles: Mild Depression With Low Self-Deprecation (16.6%), More Severe Depression With High Devaluation of Life (11.9%), No Depression With Low Motivation/Self- Esteem (10.1%), High Self-Image/Life Satisfaction (54.2%), and Moderate Depression With High Self- Deprecation (7.26%). Furthermore, a significant difference in concurrent and prospective online flow scores between different depressive profiles was revealed. Results support that individuals experiencing higher online flow may differ regarding their depressive symptoms, with significant implications for assessment and intervention practice. [ABSTRACT FROM AUTHOR]
ISSN:0008400X
DOI:10.1037/cbs0000437