Department of Psychology, Humphrey Hall, 62 Arch Street, Queen's University, Kingston K7L 3L3, Ontario, Canada.
Department of Psychology, Humphrey Hall, 62 Arch Street, Queen's University, Kingston K7L 3L3, Ontario, Canada.
J Affect Disord. 2024 Dec 15;367:823-831. doi: 10.1016/j.jad.2024.08.230. Epub 2024 Sep 3.
Deficits in cognition and motivation predict functioning in depressive and psychotic disorders. However, experimental tasks of cognitive motivation are inconsistently correlated with functioning, time-intensive, and not intuitive in clinical practice. We aimed to develop and validate a self-report instrument to assess motivation processes pertinent to engagement with cognitive activities in daily life.
Following item generation, scale dimensionality, reliability, and validity were evaluated iteratively over Studies 1-3 with online general adult participants (n = 205; n = 235; n = 181). The 20-item Cognitive Motivation scale was also validated in a Study 3 sub-sample reporting high levels of depressive symptoms (n = 74) and Study 4 early psychosis outpatients (n = 25).
Two-factor model of cognitive approach and cognitive withdrawal, each with good internal consistency, convergent validity, discriminant validity was supported. Cognitive withdrawal showed stronger associations with cognitive difficulties, depressive symptoms, and functional impairments than traditional motivation scale. Participants reporting high depression levels showed more severe difficulties with cognitive motivation than participants reporting low depression levels. In early psychosis outpatients, correlations with functioning and cognitive effort expenditure provided support for scale validity.
Cross-sectional data collection restricted evaluation of repeated administration psychometric properties. Scale validation was mostly established in online community samples and a small patient sample during the COVID-19 pandemic, thereby limiting generalizability of clinical applications.
Cognitive Motivation scale is a promising tool for future intervention trials seeking to target motivational processes associated with functioning in the general population and potentially across patient groups with amotivation symptoms.
认知和动机缺陷可预测抑郁和精神病性障碍患者的功能。然而,认知动机的实验任务与功能的相关性不一致,且耗时且在临床实践中不直观。我们旨在开发和验证一种自我报告工具,以评估与日常生活中参与认知活动相关的动机过程。
在研究 1-3 中,通过在线一般成年参与者(n=205;n=235;n=181)进行了项目生成、量表维度、信度和效度的迭代评估。在研究 3 的子样本中,还对包含高抑郁症状的(n=74)和研究 4 的早期精神病门诊患者(n=25)进行了 20 项认知动机量表的验证。
认知接近和认知回避的双因素模型,内部一致性和收敛效度良好,具有区分效度。认知回避与认知困难、抑郁症状和功能障碍的相关性比传统动机量表更强。报告高抑郁水平的参与者比报告低抑郁水平的参与者在认知动机方面表现出更严重的困难。在早期精神病门诊患者中,与功能和认知努力支出的相关性为量表的有效性提供了支持。
横断面数据采集限制了对重复管理的心理测量特性的评估。量表的验证主要是在在线社区样本和 COVID-19 大流行期间的小患者样本中进行的,因此限制了其在临床应用中的普遍性。
认知动机量表是一种很有前途的工具,可用于未来的干预试验,旨在针对与一般人群功能相关的动机过程,可能还针对有动机障碍症状的患者群体。