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This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (3683) Web-based and Mobile Health Interventions (4250) Neurology and Neurosciences (305) Behavior Change (910) Dementia and Cognitive Decline (750) Cognitive and Neurorehabilitation (382) Prevention and Health Promotion (1494) Cognitive Training for the Elderly (167)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31664, first published .
Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model

Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model

Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model

Authors of this article:

Jaegyeong Lee1 Author Orcid Image ;   Jung Min Lim2 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Diwanji V, Cortese J, Merle P. Fighting a Global Pandemic in the Digital Age: Use of Infographics to ‘Flatten the Curve’ in the U.S. and India. International Journal of Strategic Communication 2023;17(5):415 View
  2. Wang C, Liu S, Li A, Liu J. Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study. Journal of Medical Internet Research 2023;25:e51501 View
  3. Zakrzewski J, Davis J, Gemelli Z, Korthauer L. Understanding Health Beliefs and Health Behaviors in Older Adults at Risk for Alzheimer’s Disease. Journal of Alzheimer’s Disease 2024;99(3):1093 View
  4. Ali S, Alizai H, Hagos D, Rubio S, Calabia D, Serrano Jimenez P, Senthil V, Appel L. mHealth Apps for Dementia, Alzheimer Disease, and Other Neurocognitive Disorders: Systematic Search and Environmental Scan. JMIR mHealth and uHealth 2024;12:e50186 View
  5. Sanborn V, Davis J, Korthauer L. Health Behavior Change to Mitigate Dementia Risk: An Updated Review. Current Geriatrics Reports 2024;13(3):162 View
  6. Sopić D. The Use of Mobile Applications in Communication Between Elderly Individuals and Their Families: Literature Review and Research Agenda. IFAC-PapersOnLine 2024;58(3):250 View
  7. de Arriba-Pérez F, García-Méndez S, Otero-Mosquera J, González-Castaño F. Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models. Applied Intelligence 2024;54(24):12613 View
  8. Tsai F, Shen S, Hu Y, Tseng C. Health beliefs model to explore older adults’ dementia prevention and health promotion from 2021 to 2022 in Taiwan: A cross-sectional survey study. Medicine 2024;103(42):e39744 View
  9. McAlister K, Baez L, Braunsdorf A, Yang Y, Kessler D, Huberty J. User Engagement With and Perceived Impact of a Digital Cognitive Training App on Cognition, Daily Functioning, and Mental Fitness: Secondary Analysis of Cross-Sectional Survey Data. JMIR Formative Research 2025;9:e80027 View
  10. Sambou M, Dobbe J, Albers E, Deckers K, Arends L, Ikram M, Smets E, Bramer W, Labrecque J, Visser L, Wolters F. Knowledge and perception of dementia risk and protective factors: a systematic review and meta-analysis. The Journal of Prevention of Alzheimer's Disease 2026;13(6):100565 View