Siri Saugestad Helland, Emily Gabriela Vira, John Kjøbli, Espen Røysamb, Ragnhild Bang Nes, Jannike Kaasbøll, Silje Baardstu
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The fit of different structural models of emotion regulation and psychopathology were compared, and latent factors from the final models were included in multiple regression analyses to explore the associations between p and emotion regulation strategies. A bifactor exploratory structural equation model (B-ESEM) showed best fit for modelling p. For emotion regulation strategies, an ESEM model showed best fit, including Rumination, Reactive Impulsivity, Distraction, Non-Acceptance, Problem Solving, Social Support, and Proactive Behavior. Results showed that a higher score on p was predicted by higher scores on the emotion regulation strategies Rumination (β = .38, p < .001) and Reactive Impulsivity (β = .35, p < .001), and lower scores on Problem Solving (β = -.15, p < .001). The results indicate that Rumination and Reactive Impulsivity have the strongest associations with p and may be promising targets for mental health interventions for adolescents.</p>","PeriodicalId":36218,"journal":{"name":"Research on Child and Adolescent Psychopathology","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What Emotion Regulation Strategies are Associated with a General Psychopathology Factor (p) in Adolescence? 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引用次数: 0
摘要
青少年的心理健康问题日益增多,迫切需要采取跨诊断干预措施,因为大多数青少年都会遇到多个领域的问题。研究发现,一般精神病理学因子(p)可以捕捉到各种心理健康问题的共同差异。与此同时,情绪调节的跨诊断性也得到了实证支持。在本研究中,我们探讨了 p 与情绪调节策略之间的关联,以确定哪些策略可能是有希望的干预目标。研究采用了基于人群的青少年与心理健康研究(YAMHS)的数据(N = 2,464,平均年龄 13.7 岁,SD 0.6)。比较了情绪调节和心理病理学的不同结构模型的拟合度,并将最终模型中的潜在因素纳入多元回归分析,以探讨p与情绪调节策略之间的关联。双因素探索性结构方程模型(B-ESEM)显示了 p 模型的最佳拟合度。情绪调节策略方面,ESEM 模型显示了最佳拟合度,包括反刍、反应冲动、分心、不接受、解决问题、社会支持和积极主动行为。结果表明,情绪调节策略中的 "反刍 "得分越高,则 p 得分越高(β = 0.38,p = 0.01)。
What Emotion Regulation Strategies are Associated with a General Psychopathology Factor (p) in Adolescence? Identifying Possible Transdiagnostic Targets for Intervention.
Mental health problems in adolescence are increasing and there is an urgent call for transdiagnostic interventions, as most adolescents experience problems across multiple domains. Research has identified a general psychopathology factor (p) capturing the shared variance across mental health problems. In parallel, there is empirical support for the transdiagnostic nature of emotion regulation. In the current study, we explore the associations between p and emotion regulation strategies to identify which strategies may be promising targets for intervention. Data from the population-based Youth and Mental Health Study (YAMHS) (N = 2,464, mean age 13.7 years, SD 0.6) was used. The fit of different structural models of emotion regulation and psychopathology were compared, and latent factors from the final models were included in multiple regression analyses to explore the associations between p and emotion regulation strategies. A bifactor exploratory structural equation model (B-ESEM) showed best fit for modelling p. For emotion regulation strategies, an ESEM model showed best fit, including Rumination, Reactive Impulsivity, Distraction, Non-Acceptance, Problem Solving, Social Support, and Proactive Behavior. Results showed that a higher score on p was predicted by higher scores on the emotion regulation strategies Rumination (β = .38, p < .001) and Reactive Impulsivity (β = .35, p < .001), and lower scores on Problem Solving (β = -.15, p < .001). The results indicate that Rumination and Reactive Impulsivity have the strongest associations with p and may be promising targets for mental health interventions for adolescents.