ArticleJMIR mHealth and uHealth2017
Cognitive Testing in People at Increased Risk of Dementia Using a Smartphone App: The iVitality Proof-of-Principle Study.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- eHealth tools to assess the neurological function for research, in absence of the neurologist - a systematic review, part I (software).Journal of neurology · 2024Pooled it
- Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- Real-Time Smartphone Monitoring Assessments as a Cognitive Biomarker of Alzheimer Disease: Protocol for a Development Study.JMIR research protocols · 2026Article
- Feasibility and Acceptability of a Remote Sleep-Dependent Memory Assessment in Older Adults With Cognitive Concerns: Pilot Cross-Sectional Study.JMIR aging · 2026Article
- Criterion validity of five open-source app-based cognitive and sensory tasks in an Australian adult life course sample aged 18 to 82: Labs without walls.Behavior research methods · 2025Article
- The Validity of a Smartphone-Based Application for Assessing Cognitive Function in the Elderly.Diagnostics (Basel, Switzerland) · 2025Article
- Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.Neuropsychology · 2025Article
- Smartphone App Designed to Collect Health Information in Older Adults: Usability Study.JMIR human factors · 2024Article
- The RODI mHealth app Insight: Machine-Learning-Driven Identification of Digital Indicators for Neurodegenerative Disorder Detection.Healthcare (Basel, Switzerland) · 2023Article
- Adherence type impacts completion rates of frequent mobile cognitive assessments among older adults with and without cognitive impairment.Research square · 2023Article
- New Opportunities for the Early Detection and Treatment of Cognitive Decline: Adherence Challenges and the Promise of Smart and Person-Centered Technologies.BMC digital health · 2023Article
- Examination of the reliability and feasibility of two smartphone applications to assess executive functioning in racially diverse older adults.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2022Article
- Incorporating ecological momentary assessment into multimethod investigations of cognitive aging: Promise and practical considerations.Psychology and aging · 2022Article
- Relationships between daily mood states and real-time cognitive performance in individuals with bipolar disorder and healthy comparators: A remote ambulatory assessment study.Journal of clinical and experimental neuropsychology · 2021Article
- The Utility of Cognitive Screeners in the Detection of Dementia Spectrum Disorders in Spanish-Speaking Populations.Journal of geriatric psychiatry and neurology · 2021Review
- Telehealth in Neurodegenerative Diseases: Opportunities and Challenges for Patients and Physicians.Brain sciences · 2021Review
- Feasibility and initial validation of 'HD-Mobile', a smartphone application for remote self-administration of performance-based cognitive measures in Huntington's disease.Journal of neurology · 2021Article
- The Cognitive Online Self-Test Amsterdam (COST-A): Establishing norm scores in a community-dwelling population.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Patterns and Perceptions of Smartphone Use Among Academic Neurologists in the United States: Questionnaire Survey.JMIR mHealth and uHealth · 2020Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmartphone-assisted technologies potentially provide the opportunity for large-scale, long-term, repeated monitoring of cognitive functioning at home.
objectiveThe aim of this proof-of-principle study was to evaluate the feasibility and validity of performing cognitive tests in people at increased risk of dementia using smartphone-based technology during a 6 months follow-up period.
methodsWe used the smartphone-based app iVitality to evaluate five cognitive tests based on conventional neuropsychological tests (Memory-Word, Trail Making, Stroop, Reaction Time, and Letter-N-Back) in healthy adults. Feasibility was tested by studying adherence of all participants to perform smartphone-based cognitive tests. Validity was studied by assessing the correlation between conventional neuropsychological tests and smartphone-based cognitive tests and by studying the effect of repeated testing.
resultsWe included 151 participants (mean age in years=57.3, standard deviation=5.3). Mean adherence to assigned smartphone tests during 6 months was 60% (SD 24.7). There was moderate correlation between the firstly made smartphone-based test and the conventional test for the Stroop test and the Trail Making test with Spearman ρ=.3-.5 (P<.001). Correlation increased for both tests when comparing the conventional test with the mean score of all attempts a participant had made, with the highest correlation for Stroop panel 3 (ρ=.62, P<.001). Performance on the Stroop and the Trail Making tests improved over time suggesting a learning effect, but the scores on the Letter-N-back, the Memory-Word, and the Reaction Time tests remained stable.
conclusionsRepeated smartphone-assisted cognitive testing is feasible with reasonable adherence and moderate relative validity for the Stroop and the Trail Making tests compared with conventional neuropsychological tests. Smartphone-based cognitive testing seems promising for large-scale data-collection in population studies.
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Registered trials
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