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Record W2611504846 · doi:10.21037/mhealth.2017.04.05

HealtheBrain: an innovative smartphone application to improve cognitive function in older adults

2017· article· en· W2611504846 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuemHealth · 2017
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsCognitionPsychological interventionCognitive declineIntervention (counseling)PsychologyMedicineMontreal Cognitive AssessmentGerontologyCognitive impairmentPhysical therapyPhysical medicine and rehabilitationPsychiatryDementiaDisease

Abstract

fetched live from OpenAlex

Background: Exercise-based interventions have shown promise in slowing cognitive decline, however there is limited evidence for scalability. Our previous research has linked a novel visuospatial memory exercise intervention, incorporating patterned walking or square-stepping exercise (SSE) with significant improvements in executive function and memory among older adults with normal cognition as well as those with subjective cognitive complaints (SCC) and mild cognitive impairment (MCI). The aim of the current study was to determine the feasibility and utility of the HealtheBrain smartphone app to deliver SSE outside the laboratory among older adults with and without cognitive impairment. Methods: Previous healthy research subjects with and without SCC or MCI, who had previous exposure to SSE, and who owned or had access to an iPhone of iPad, were recruited to download the HealtheBrain app and use it up to 3 weeks. There were no restrictions on the number of times subjects could use the app. A 15-question survey was developed to assess feasibility and utility of the HealtheBrain app and completed online following the brief exposure period. Results: Of 135 people who were identified, 95 were contacted between September 2014 to August 2015, 27 downloaded the HealtheBrain app on their iPhone or iPad from the App Store and 19 completed the questionnaire. Subjects (n=19) were an average age of 68.3±5.4; 74% female and had 15.5±2.8 years of education (84% post-secondary education), a mean Mini Mental State examination score of 29.1 (SD 1.2) out of 30 and Montreal Cognitive Assessment score of 26.3 (SD 1.9) out of 30. Subjects used the HealtheBrain app 1-7 days per week, mostly at home. Of possible stages of progression, subjects mainly used the stage 1 and 2 beginner patterns. Subjects reported perceived and technical challenges registering horizontal step patterns associated with stage 2 and greater progression. Sixty percent found the app was easy to use or similar to what they experienced with SSE in the laboratory setting. Most said they would continue to use the HealtheBrain app and would recommend it to friends and family. Conclusions: The HealtheBrain app was feasible in providing SSE to older adults with the appropriate smartphone device outside the laboratory setting. Challenges were identified with perceived capture of higher levels of SSE stages that used horizontal step patterns. This as well as technical issues with horizontal step patterns will be addressed by newer GPS technology in current smartphone devices. Most subjects stated they would continue to use the HealtheBrain app and refer to their friends and family. We believe that our findings in a representative cohort support the HealtheBrain app as a scalable intervention to promote cognitive health in older adults.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.340
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it