A Latent Profile Analysis of Emotion Regulation in Relation to Distress of Symptoms in Youth with Prodromal Psychotic Symptoms.
Behav Sci (Basel)
; 14(8)2024 Aug 11.
Article
en En
| MEDLINE
| ID: mdl-39199094
ABSTRACT
(1) Background:
Although abnormal emotion regulation is a key characteristic of youth with prodromal psychotic symptoms and is closely related to the degree of distress caused by these symptoms, research on the internal heterogeneity of emotion regulation within this clinically high-risk population has been insufficient. (2)Methods:
The current study analyzed data from 394 college students with prodromal psychotic symptoms, using latent profile analysis (LPA) to identify emotion regulation profiles based on differences in expressive suppression and cognitive reappraisal. One-way ANOVA was employed to examine the relationship between the identified latent profiles and distress of symptoms. (3)Results:
Three latent profiles were identified "high cognitive reappraisal group" (n = 117, 29.70%), "moderate cognitive reappraisal group" (n = 233, 59.14%), and "low cognitive reappraisal group" (n = 44, 11.16%). Significant differences in distress of negative symptoms (F = 9.122, p < 0.05) and perceptual abnormalities (F = 3.103, p < 0.05) were observed across the latent profiles but not in unusual thought content and specific perceptual abnormalities (both p > 0.05). The "low cognitive reappraisal group" exhibited the most severe distress of symptoms, followed by the "moderate cognitive reappraisal group", while the "high cognitive reappraisal group" experienced the least distress. (4)Conclusions:
The current study provides evidence for the heterogeneity of emotion regulation among youth with prodromal psychotic symptoms and reveals differences in distress of perceptual abnormalities and negative symptoms between the latent profiles of emotion regulation. These findings support the development of targeted psychological interventions to alleviate the distress of symptoms and improve quality of life.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Behav Sci (Basel)
Año:
2024
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
Suiza