Elevated defeatist performance beliefs predict state increases in negative symptoms in daily life in clinical high-risk for psychosis youth: implications for mobile health treatments

作者：Lauren I. Luther, Ian Matthew Raugh, Luca Bela G. Webber, Paul M. Grant, Aaron Tim Beck, Vijay Anand Mittal, Elaine F. Walker, Gregory P. Strauss · 发表于：European Archives of Psychiatry and Clinical Neuroscience · 年份：2025 · DOI：10.1007/s00406-025-02143-4 · 被引用次数：3 · 研究领域：Digital Mental Health Interventions、Bipolar Disorder and Treatment、Schizophrenia research and treatment

BACKGROUND: Negative symptoms are a strong predictor of conversion to a formal psychotic disorder in youth at clinical high-risk for developing psychosis (CHR). Identification of temporally precise mechanisms underlying increases in negative symptoms could enhance early intervention and specifically support the utility of mobile health treatments. Guided by Cognitive Behavioral models of psychopathology, we examine whether a core type of biased thinking-defeatist performance beliefs (DPB)-is a real-world mechanism of negative symptoms as well as a secondary symptom that is common in CHR youth: depressed mood. METHODS: CHR youth (n = 119) and healthy control (CN; 59) subjects completed ecological momentary assessment surveys assessing DPB, negative symptoms, and depressed mood for six days. RESULTS: CHR youth reported elevated DPB in daily life compared to CN. Greater DPB were associated with greater concurrent negative symptoms and depressed mood in daily life. Time-lagged analyses demonstrated that increased DPB at time t led to elevations in negative symptoms and depressed mood at t + 1 above and beyond the effects of the respective symptom at time t; DPB also varied across time of day, study day, day of the week, activity context, and social partners. CONCLUSIONS: DPB may be a promising shared mechanism contributing to negative symptoms and depressed mood in CHR youth in their daily life. Findings also provide proof-of-concept support for the utility of mobile health treat...