Culbreth Adam J, Barch Deanna M, Nepal Subigya, Ben-Zeev Dror, Campbell Andrew, Moran Erin K
Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland, School of Medicine.
Department of Psychological & Brain Sciences, Washington University in St. Louis.
J Psychopathol Clin Sci. 2025 Jul 21. doi: 10.1037/abn0001000.
Anhedonia and avolition are core clinical features of schizophrenia, bipolar disorder, and major depressive disorder, which have been traditionally assessed using clinical rating scales. However, recent developments in mobile technology allow for measurement of anhedonia and amotivation using passive sensors (e.g., global positioning system and actigraphy) and surveys completed in daily life (i.e., ecological momentary assessment [EMA]). The current study examined associations between clinical rating scales assessing anhedonia and amotivation and passive sensing measures. We aimed to determine the added value of passive sensing measures in explaining variability in clinical interviews, compared to models using EMA alone. We recruited a transdiagnostic sample (schizophrenia = 41, bipolar disorder = 47, and major depressive disorder = 48) to complete an in-person assessment session, as well as a 2-week EMA and passive sensing protocol. Passive sensing measures included physical distance traveled, number of phone calls sent/received, and number of texts sent/received. EMA included the assessment of interest and enjoyment in daily activities. We found that reports of interest/enjoyment in daily activities significantly predicted gold standard, clinical rating scales of anhedonia and avolition across diagnostic groups (standardized β = -0.208, = .015, model R2 = .04). Including participant distance traveled into this model aided our ability to explain variance (standardized β = -0.280, < .001, model ² = .12). Finally, adding call (standardized β = -0.170, = .039) and text (standardized β = -0.198, = .022) data further improved variance explained (model ² = .18). These data suggest that passive sensor streams strengthen the associations between assessments in daily life and gold standard ratings of anhedonia and avolition, suggesting "added value" in using these approaches to understand motivational experience in people with psychotic and mood pathology. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
快感缺失和意志缺失是精神分裂症、双相情感障碍和重度抑郁症的核心临床特征,传统上使用临床评定量表对其进行评估。然而,移动技术的最新发展使得能够使用被动传感器(如全球定位系统和活动记录仪)以及在日常生活中完成的调查(即生态瞬时评估[EMA])来测量快感缺失和缺乏动机。本研究考察了评估快感缺失和缺乏动机的临床评定量表与被动传感测量之间的关联。我们旨在确定与仅使用EMA的模型相比,被动传感测量在解释临床访谈变异性方面的附加价值。我们招募了一个跨诊断样本(精神分裂症 = 41人,双相情感障碍 = 47人,重度抑郁症 = 48人),以完成一次面对面评估,以及一个为期2周的EMA和被动传感方案。被动传感测量包括行进的身体距离、发送/接收的电话数量以及发送/接收的短信数量。EMA包括对日常活动中的兴趣和享受的评估。我们发现,日常活动中兴趣/享受的报告显著预测了跨诊断组快感缺失和意志缺失的金标准临床评定量表(标准化β = -0.208,p = .015,模型R² = .04)。将参与者行进的距离纳入该模型有助于我们解释方差(标准化β = -0.280,p < .001,模型R² = .12)。最后,添加通话(标准化β = -0.170,p = .039)和短信(标准化β = -0.198,p = .022)数据进一步改善了解释的方差(模型R² = .18)。这些数据表明,被动传感器数据流加强了日常生活评估与快感缺失和意志缺失金标准评定之间的关联,表明使用这些方法来理解患有精神病和情绪障碍的人的动机体验具有“附加价值”。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)