AUTHOR=Sugden Nicole , Thomas Matt , Kiernan Michael , Wilesmith Michele TITLE=Validation of the Prospective Memory Concerns Questionnaire (PMCQ) JOURNAL=Frontiers in Human Neuroscience VOLUME=15 YEAR=2021 URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2021.686850 DOI=10.3389/fnhum.2021.686850 ISSN=1662-5161 ABSTRACT=
Prospective memory (PM), the ability to remember to complete intended tasks, is essential for successfully completing activities of daily living. PM impairments are common in people with neuropathology such as acquired brain injury and dementia. These PM impairments affect individuals’ capabilities in key aspects of daily living including their health, safety, and independence. The Prospective Memory Concerns Questionnaire (PMCQ) was designed as a self-report measure to understand individuals’ concerns about their memory. This questionnaire may help identify issues with PM which in turn may assist clinicians in the targeted implementation of memory compensation strategies. The PMCQ was developed using Rasch and classical test methodologies, with subscales measuring frequency of forgetting behaviors, memory concerns, and retrieval failures. The current study aimed to confirm the factor structure of the PMCQ for use in adults in the general population. The study also aimed to examine relationships between the PMCQ and naturalistic performance-based measures of PM to determine how the self-report PMCQ could be used in conjunction with performance-based measures. A community dwelling sample of 558 adults completed the PMCQ, an event-based naturalistic PM task, and time-based naturalistic PM task. Confirmatory factor analyses (CFAs) indicated that a higher order model with three subscales containing 35 items produced acceptable fit [RMSEA = 0.056 (90% CI 0.054, 0.060), SRMR = 0.062, CFI = 0.915, TLI = 0.909] The PMCQ demonstrated good internal consistency (total α = 0.95, subscales: α = 0.88–0.89). The Forgetting Behaviors subscale significantly correlated with performance on the event-based naturalistic PM task (