Development and validation of the geriatric apathy scale: Examining multi-dimensional apathy profiles in a neurodegenerative population with cultural considerations.

BACKGROUND: Apathy is a common motivational deficit in neurodegenerative diseases, but lacks a culturally sensitive tool accounting for ethnic Chinese culture's impact on motivation initiation. This study developed and validated the Geriatric Apathy Scale (GAS), comprehensively incorporating cultural nuances, setting diagnostic cutoffs, and examining apathy's multi-dimensional aspects in a neurodegenerative cohort. METHODS: The 16-item GAS was developed by considering ethnic Chinese cultural characteristics and conducting a literature review. The study involved 296 participants, comprising 113 with Parkinson's disease (PD), 66 with Alzheimer's disease (AD), and 117 healthy controls (HC). All participants completed the GAS, Apathy Evaluation Scale (AES), Geriatric Depression Scale (GDS-15), Mini-Mental State Examination, and Activities of Daily Living (ADLs). RESULTS: The GAS showed good internal consistency (r = 0.862) and test-retest reliability (r = 0.767). It correlated moderately with the AES (r = 0.639, p < .001), weakly with GDS-15 (r = 0.166, p < .01), and negatively with ADLs (r = -1.19, p < .05). Clinical diagnosis cutoff scores were identified at 15.5 for PD (sensitivity: 0.789; specificity: 0.693) and 12.5 for AD (sensitivity: 0.821; specificity: 0.632). Noteworthy disparities were observed in the Cognition and Social Motivation dimension, with elevated severity in both PD and AD compared to HC (p < .01). Interestingly, within-group comparisons revealed greater apathy severity in the Cognition and Social Motivation dimension for PD (p < .001) and AD (p = .001) versus Emotional Response and Expression and Spontaneous Behavioral Activation. CONCLUSIONS: The GAS, a psychometrically validated scale, assesses apathy in neurodegenerative populations, accounting for ethnic Chinese culture's influence. It establishes clinical cutoff points and explores the multi-dimensional nature of apathy.

The Development of a Multi-Modality Emotion Recognition Test Presented via a Mobile Application.

Emotion recognition ability is the basis of interpersonal communication and detection of brain alterations. Existing tools for assessing emotion recognition ability are mostly single modality, paper-and-pencil test format, and using only Western stimuli. However, various modalities and cultural factors greatly influence emotion recognition ability. We aimed to develop a multi-modality emotion recognition mobile application (MMER app). A total of 169 healthy adults were recruited as participants. The MMER app's materials were extracted from a published database, and tablets were used as the interface. The Rasch, factor analysis, and related psychometric analyses were performed. The Cronbach alpha was 0.94, and the test-retest reliability was 0.85. Factor analyses identified three factors. In addition, an adjusted score formula was provided for clinical use. The MMER app has good psychometric properties, and its further possible applications and investigations are discussed.