Correlates and Predictors of Metamemory in an Online Sample

OBJECTIVE: Metamemory is a key component of various neuropsychiatric conditions, including functional cognitive disorder, and is associated with quality of life across such conditions. Improved characterization of correlates and predictors of metamemory in the general population may help inform clinical care. The authors examined psychometric properties of the Multifactorial Memory Questionnaire (MMQ), as well as relationships of metamemory with well-being and health-related factors. METHODS: In total, 438 U.S. adults (mean±SD age=32.0±7.0 years) completed an online survey on Amazon's Mechanical Turk platform. Psychometric properties of three MMQ scales were assessed, and hierarchical regressions were used to examine how metamemory relates to well-being and health-related factors (i.e., emotional distress, sleep disturbance, and pain interference). RESULTS: =0.14, respectively; all p<0.001). CONCLUSIONS: The MMQ is a psychometrically robust measure of metamemory, with scientific and clinical utility in neuropsychiatry. Metamemory was found to be related to well-being in a heterogeneous adult sample from the general population. Health-related variables, particularly emotional distress and sleep disturbance, are associated with memory satisfaction, perceived memory, and strategy use. These findings emphasize the importance of assessing metamemory and incorporating health-related variables into conceptualization and treatment of metamemory in neuropsychiatric conditions.

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Journal
Journal of Neuropsychiatry
Published
2026-08-27
DOI
https://doi.org/10.1176/appi.neuropsych.20250292
Primary Topic
Cognitive Functions and Memory
Type
article
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article

Correlates and Predictors of Metamemory in an Online Sample

Jennifer K. Hoots, Ryan Van Patten, Nathan E. Cook, W. Curt LaFrance et al.
Journal of Neuropsychiatry
Cognitive Functions and Memory
article

Correlates and Predictors of Metamemory in an Online Sample

Jennifer K. Hoots, Ryan Van Patten, Nathan E. Cook, W. Curt LaFrance, Lawrence Chan
article en

Abstract

OBJECTIVE: Metamemory is a key component of various neuropsychiatric conditions, including functional cognitive disorder, and is associated with quality of life across such conditions. Improved characterization of correlates and predictors of metamemory in the general population may help inform clinical care. The authors examined psychometric properties of the Multifactorial Memory Questionnaire (MMQ), as well as relationships of metamemory with well-being and health-related factors. METHODS: In total, 438 U.S. adults (mean±SD age=32.0±7.0 years) completed an online survey on Amazon's Mechanical Turk platform. Psychometric properties of three MMQ scales were assessed, and hierarchical regressions were used to examine how metamemory relates to well-being and health-related factors (i.e., emotional distress, sleep disturbance, and pain interference). RESULTS: =0.14, respectively; all p<0.001). CONCLUSIONS: The MMQ is a psychometrically robust measure of metamemory, with scientific and clinical utility in neuropsychiatry. Metamemory was found to be related to well-being in a heterogeneous adult sample from the general population. Health-related variables, particularly emotional distress and sleep disturbance, are associated with memory satisfaction, perceived memory, and strategy use. These findings emphasize the importance of assessing metamemory and incorporating health-related variables into conceptualization and treatment of metamemory in neuropsychiatric conditions.

Journal of Neuropsychiatry
University of Rhode Island (US), Brown University (US), Providence VA Medical Center (US), Lifespan (US)
Openalex Percentile: Top 6%
Cognitive Functions and Memory
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Correlates and Predictors of Metamemory in an Online Sample — Jennifer K. Hoots, Ryan Van Patten, et al. · Journal of Neuropsychiatry (2026) | TGRS Research Map | TGRS