Using ecological momentary assessment and machine learning techniques to predict depressive symptoms in emerging adults

The objective of this study was to predict the level of depressive symptoms in emerging adults by analyzing sociodemographic variables, affect, and emotion regulation strategies. Participants were 33 emerging adults (M = 24.43; SD = 2.80; 56.3 % women). They were asked to assess their current emotio...

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Veröffentlicht in:	Psychiatry research 2024-02, Vol.332, p.115710-115710, Article 115710
Hauptverfasser:	De la Barrera, Usue, Arrigoni, Flavia, Monserrat, Carlos, Montoya-Castilla, Inmaculada, Gil-Gómez, José-Antonio
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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