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Record W4416939343 · doi:10.2196/86276

Feasibility of Internet-Based Mind-Body Training for Adults With Subjective Cognitive Decline: Protocol for a Randomized Controlled Trial

2025· article· en· W4416939343 on OpenAlexvenueno aff
Ruchika Shaurya Prakash, Madhura Phansikar, Megan Fisher, Sarah Dove, Rebecca Andridge, Douglas W. Scharre, Kathy Wright, Elizabeth Head, Claire O’Callaghan, Quinn K. Meyerson, Elizabeth Jean Duraney, Matthew Schroeder, Niyathi Chakrapani, Eli Grant, Tyreek Jones, James Teng, Michael Esterman, Joshua M. Smyth, Thomas Gregoire, Rond Malhas

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialProtocol (science)CognitionCognitive trainingTraining (meteorology)Intervention (counseling)

Abstract

fetched live from OpenAlex

Background: In the United States, the prevalence of Alzheimer disease (AD) is projected to double over the next 30 years, with associated familial and societal costs estimated at US $1 trillion annually if current trends continue. Although pharmacological treatments of AD are showing promise, the adoption of healthy lifestyle behaviors, particularly during the preclinical phase of AD, may reduce dementia rates by up to 45%. Subjective cognitive decline (SCD), defined as persistent self-perceived declines in cognitive functioning compared with previously normal cognitive abilities, has been identified as a potential preclinical stage of AD. Objective: This randomized controlled trial aims to evaluate the feasibility and acceptability of an internet-based, asynchronous mindfulness-based stress reduction program compared with an active control group (an internet-based lifestyle education program). Secondary objectives include examining preliminary effects of each intervention on SCD, plasma-based biomarkers of amyloid and tau pathology, and everyday mind-wandering. Methods: Sixty adults aged 50 years and older will be screened for SCD in the absence of objective cognitive impairment, based on the Uniform Data Set Neuropsychological Battery (version 3.0) from the National Alzheimer's Coordinating Center. Eligible and consenting participants will complete behavioral and imaging-based tasks of sustained attention and mind-wandering, as well as blood draws at baseline and after the 8-week intervention. After baseline assessments, participants will be randomized to either an internet-based, asynchronous mindfulness-based stress reduction program or the internet-based lifestyle education program. Both programs have been adapted from our manualized in-person programs and refined through focus group interviews with the target population. Results: The study was funded in April 2024. Phase 1 focused on iterative development of the 2 programs based on focus group feedback. Recruitment for the randomized controlled trial (internet-based mind-body training trial) began in June 2025 and is ongoing. Recruitment is expected to conclude in September 2026, with data collection ending in December 2026. Conclusions: Behavioral, lifestyle-based interventions that emphasize experiential practices show promise as preventative strategies to prevent decline in cognitive and brain health. Yet, there remain significant barriers to engaging with in-person programs, including limited accessibility, time and schedule constraints, and travel logistics. The internet-based mind-body training trial will evaluate the feasibility and acceptability of 2 fully online, mind-body training programs for adults at risk for AD. Future Stage II and Stage III studies will be necessary to establish the efficacy of these programs for improving AD biomarkers and cognitive outcomes and their broader dissemination to adults noticing subtle changes in cognitive functioning.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.066
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.020
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0110.005
Bibliometrics0.0030.003
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0660.010

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 head0.260
GPT teacher head0.623
Teacher spread0.364 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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