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Record W3196281674 · doi:10.1186/s12879-021-06540-7

Action for better brain health among people living with HIV: protocol for a randomized controlled trial

2021· article· en· W3196281674 on OpenAlexafffund
Adria Quigley, Marie‐Josée Brouillette, Lesley K. Fellows, Nancy E. Mayo

Bibliographic record

VenueBMC Infectious Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersInstitute of Infection and ImmunityCanadian Institutes of Health ResearchLOEWE Zentrum AdRIAGilead Sciences
KeywordsPsychological interventionMedicineRandomized controlled trialGerontologyCognitionGoal settingBehavior changePhysical therapyPsychologyNursingPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Lifestyle changes can protect or improve brain health in older adults. However, sustained lifestyle change is difficult for everyone and may be more difficult for those with executive dysfunction, including some people living with HIV. Thus, the key question is how we can improve adherence to the most promising interventions among people living with HIV experiencing cognitive difficulties. Goal management training is a cognitive rehabilitation program that targets executive dysfunction by teaching goal-directed behaviour and self-management. It is a promising means to improve adherence to lifestyle interventions. OBJECTIVE: To estimate the extent to which goal management training before a healthy lifestyle program is associated with greater adherence to health recommendations, achievement of health-related goals, and better brain health and health outcomes compared to the healthy lifestyle program alone among people living with HIV. METHODS: Brain Health Now cohort participants with cognitive difficulties or are not aging successfully are eligible. All participants will be given health resources, a health coach, a goal-setting digital application, and access to an online goal-setting workshop. The intervention group will participate in nine 2-h goal management training sessions and then will enter the healthy lifestyle program. Control participants will enter the healthy lifestyle program directly. A total sample of 100 participants will participate for 12 months. The main outcome is adherence to the healthy lifestyle program, defined as the number of weeks where physical activity adherence targets were met (150 min per week, measured with an activity monitor). Weekly social activities will be captured via self-report with confidential photo validation. We will send weekly health state reports to the participants. Downstream outcomes include cognitive ability, health-related quality of life, mobility, vascular risk profile, and social network size. We will analyze the data using a linear regression model. DISCUSSION: This project is the first to test whether goal management training can augment adherence to health recommendations among individuals with cognitive difficulties. If successful, behavioural interventions such as goal management training could be implemented as an adjunct to lifestyle interventions in other clinical populations. TRIAL REGISTRATION: This trial was registered on clinicaltrials.gov (NCT04345484) on April 14, 2020, https://clinicaltrials.gov/ct2/show/NCT04345484?term=NCT04345484&draw=2&rank=1 .

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)0.028
metaresearch head score (Gemma)0.031
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 score0.133
Threshold uncertainty score0.445

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.031
Meta-epidemiology (narrow)0.0080.004
Meta-epidemiology (broad)0.0150.008
Bibliometrics0.0030.004
Science and technology studies0.0050.003
Scholarly communication0.0050.005
Open science0.0040.003
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.1330.018

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 head0.021
GPT teacher head0.365
Teacher spread0.344 · 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

Citations5
Published2021
Admission routes2
Has abstractyes

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