Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59974, first published .
Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study

Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study

Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study

Journals

  1. Holmqvist S, Kaplan M, Chaturvedi R, Shou H, Giovannetti T. Longitudinal and Combined Smartwatch and Ecological Momentary Assessment in Racially Diverse Older Adults: Feasibility, Adherence, and Acceptability Study. JMIR Human Factors 2025;12:e69952 View
  2. Caporusso E, Melillo A, Perrottelli A, Giuliani L, Marzocchi F, Pezzella P, Giordano G. Current limitations in technology-based cognitive assessment for severe mental illnesses: a focus on feasibility, reliability, and ecological validity. Frontiers in Behavioral Neuroscience 2025;19 View
  3. McKniff M, Holmqvist S, Kaplan M, Simone S, Tassoni M, Mis R, Giovannetti T. Subtle inefficiencies in everyday tasks indicate early functional difficulties in older adults: Implications for clinical practice and research. The Clinical Neuropsychologist 2025:1 View
  4. Shaik M, Anik F, Hasan M, Chakravarty S, Ramos M, Rahman M, Ahamed S, Sakib N. Advancing Remote Monitoring for Patients With Alzheimer Disease and Related Dementias: Systematic Review. JMIR Aging 2025;8:e69175 View
  5. Zawada S, Acosta J, Collins C, Dumitrascu O, Harahsheh E, Hagen C, Ganjizadeh A, Mahmoudi E, Erickson B, Demaerschalk B. Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study. Mayo Clinic Proceedings: Digital Health 2025;3(3):100240 View
  6. Alam A, Rabbani M, Prybutok V. Effectiveness, Adoption Determinants, and Implementation Challenges of ICT-Based Cognitive Support for Older Adults with MCI and Dementia: A PRISMA-Compliant Systematic Review and Meta-Analysis (2015–2025). Healthcare 2025;13(12):1421 View
  7. Calvert E, Hackett K, Torous J, Giovannetti T. Barriers and facilitators to usability of a smartphone-based digital mental health tool in older adults: Insights from a secondary analysis of mindLAMP. International Psychogeriatrics 2025:100123 View
  8. Del Bene V, Aita S, Fonseca L, Borgogna N, Buchholz A, Woods S, Schretlen D, Kiselica A, Webber T, Schmitter-Edgecombe M, DesRuisseaux L, Merritt V, Thaler N, Bangen K, Vance D, Deboeck P, Arce Rentería M, Hill B. Cognitive intra-individual variability as an emerging measure of neuropsychological inference: A narrative review of its history, methodology, empirical support, future directions, and recommendations for best practices. The Clinical Neuropsychologist 2025:1 View
  9. Amirpour A, Saarijärvi M, Eckerblad J, Markovic G, Thorell A, Nilsson U, Bergman L. Evaluation of a Digital, Self-Administered, Cognitive Test Battery in Older Adult Patients Undergoing Abdominal Surgery: Nonrandomized Feasibility Trial. JMIR Formative Research 2025;9:e71911 View
  10. Castillo J, Cheong J, Choudhary S, Bondre A, Rozatkar A, Mehta U, Shrivastava R, Ahmad M, Malviya A, Sen Y, Tugnawat D, Bhan A, Modak T, Das N, Nagendra S, Reddy P, Chatterjee R, Lane E, Naslund J, Torous J. Mobile cognitive remote assessment of schizophrenia: a global multi-site pilot study. Schizophrenia 2025;11(1) View