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The Role of Defeatist Performance Beliefs in State Fluctuations of Negative Symptoms in Schizophrenia Measured in Daily Life via Ecological Momentary Assessment

无血性 精神分裂症(面向对象编程) 心理学 认知 生态有效性 心理干预 机制(生物学) 临床心理学 精神科 哲学 认识论
作者
Lauren Luther,Ian M. Raugh,Paul M. Grant,Aaron T. Beck,Gregory P. Strauss
出处
期刊:Schizophrenia Bulletin [Oxford University Press]
标识
DOI:10.1093/schbul/sbae128
摘要

Abstract Background and Hypothesis: The Cognitive Model of Negative Symptoms is a prominent model that posits that defeatist performance beliefs (DPB) are a key psychological mechanism underlying negative symptoms in those with schizophrenia (SZ). However, the ecological validity of the model has not been established, and temporally specific evaluations of the model’s hypotheses have not been conducted. This study tested the model’s key hypotheses in real-world environments using ecological momentary assessment (EMA). Study Design: Fifty-two outpatients with SZ and 55 healthy controls (CN) completed 6 days of EMA. Multilevel models examined concurrent and time-lagged associations between DPB and negative symptoms in daily life. Study Results: SZ displayed greater DPB in daily life than CN. Furthermore, greater DPB were associated with greater concurrently assessed negative symptoms (anhedonia, avolition, and asociality) in daily life. Time-lagged analyses indicated that in both groups, greater DPB at time t led to elevations in negative symptoms (anhedonia, avolition, or asociality) at t + 1 above and beyond the effects of negative symptoms at time t. Conclusions: Results support the ecological validity of the Cognitive Model of Negative Symptoms and identify a temporally specific association between DPB and subsequent negative symptoms that is consistent with the model’s hypotheses and a putative mechanistic pathway in Cognitive Behavioral Therapy for negative symptoms. Findings suggest that DPB are a psychological factor contributing to negative symptoms in real-world environments. Implications for measuring DPB in daily life and providing just-in-time mobile health-based interventions to target this mechanism are discussed.

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