Introduction: Self-monitoring abilities, both in the moment (online) and general self-knowledge (offline) of one's errors, are crucial to implementing modification to tasks to support healthy, independent aging. Cognitive strategies (CS) aid in functional, physical, and cognitive abilities, but without recognition of their need, individuals may struggle to complete daily tasks. The current study examined whether higher levels of self-monitoring would predict higher use and quality of real-world cognitive strategies in older adults.
Methods: Participants included 80 community-dwelling midlife and older adults. Participants completed a remote battery of neuropsychological tasks, including a computerized go-no-go task that evaluated online self-monitoring, and a self-reported questionnaire to measure offline self-monitoring (Cognitive Self-Efficacy Questionnaire). To assess CS, a count score (CS Quantity) and utility score (CS Quality) were computed based on strategies utilized in completion of real-world prospective memory tasks.
Results: Online self-monitoring was not significantly related to offline self-monitoring ((77) = -.07, = .52). A hierarchical regression revealed that while offline self-monitoring significantly predicted 7% of the variance in CS Quality, above and beyond age, global cognition, and premorbid functioning (Δ = .07, Δ = 6.23, = .02), the addition of online self-monitoring did not contribute significant incremental validity (Δ = .001, Δ = 0.12, = .73). The second hierarchical regression revealed that neither online nor offline self-monitoring significantly predicted CS Quantity, after controlling for sex (Δ = .004, Δ = 0.29, = .60).
Conclusion: The results support the distinction between online and offline self-monitoring concepts and their assessment. For community-dwelling midlife and older adults without dementia, clinicians may consider an individual's perceptions of their ability to self-monitor when working to facilitate the use of cognitive strategies.
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http://dx.doi.org/10.1080/13803395.2025.2451315 | DOI Listing |
J Clin Exp Neuropsychol
January 2025
Department of Psychology, Washington State University, Pullman, WA, USA.
Introduction: Self-monitoring abilities, both in the moment (online) and general self-knowledge (offline) of one's errors, are crucial to implementing modification to tasks to support healthy, independent aging. Cognitive strategies (CS) aid in functional, physical, and cognitive abilities, but without recognition of their need, individuals may struggle to complete daily tasks. The current study examined whether higher levels of self-monitoring would predict higher use and quality of real-world cognitive strategies in older adults.
View Article and Find Full Text PDFBMJ Open
November 2024
School of Sport Science, Beijing Sport University, Beijing, China.
Objectives: This study aimed to compare the effectiveness of different wearable intervention strategies in reducing sedentary time (ST) and prolonged sitting (PS) on healthy adults.
Design: A network meta-analysis (NMA).
Data Sources: PubMed, Web of Science, SPORTDiscus, ProQuest, Opengrey, Medline and Cochrane Central Register of Controlled Trials were searched up to 1 June 2024.
J Adolesc
November 2024
School of Culture and Society, Dalarna University, Falun, Sweden.
Introduction: Current literature recognizes that various socialization agents often shape political behavior. This study employs frameworks of political socialization and political agency to explore how extracurricular activities and political intentions established at age 16 influence aspects of political participation and civic engagement at age 20.
Methods: A 4-year longitudinal study was conducted using a community-based sample of 933 adolescents from a medium-sized Swedish city with a population of approximately 135,000.
Artif Intell Med
August 2024
Diabeloop, 17 rue Félix Esclangon, Grenoble, 38000, France.
The development of closed-loop systems for glycemia control in type I diabetes relies heavily on simulated patients. Improving the performances and adaptability of these close-loops raises the risk of over-fitting the simulator. This may have dire consequences, especially in unusual cases which were not faithfully - if at all - captured by the simulator.
View Article and Find Full Text PDFTrials
February 2024
Department of Endocrinology, First People's Hospital of Kunshan Affiliated With Jiangsu University, Kunshan, 215300, China.
Background: Type 2 diabetes mellitus (T2DM) is a common metabolic disease that requires long-term management and treatment. Digital intervention, as an emerging medical model, has been widely used in the treatment of T2DM patients. Behavioral economics theory provides a favorable perspective for studying the effect of digital intervention because it can reveal the decision-making mechanisms behind human behavior and provide more effective interventions for digital intervention.
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