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Record W3008746056 · doi:10.1515/psych-2020-0003

Lessons Learned from an ACT-Based Physician-Delivered Weight Loss Intervention: A Pilot RCT Demonstrates Limits to Feasibility

2020· article· en· W3008746056 on OpenAlexaffabout
Mallory Frayn, Kimberly Carrière, Bärbel Knaüper

Bibliographic record

VenueOpen Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcGill University
Fundersnot available
KeywordsAttritionPsychological interventionIntervention (counseling)Randomized controlled trialWeight lossMedicineWeight managementFamily medicinePhysical therapyNursingObesity

Abstract

fetched live from OpenAlex

Abstract Background: Acceptance and Commitment Therapy (ACT) interventions have shown to be effective in facilitating weight loss for emotional eaters, however, the lack of accessibility of these interventions limits their impact. The present study aimed to increase the accessibility of an ACT intervention for emotional eaters through delivery by physicians. Methods: This two-arm pilot randomized controlled trial tested the effectiveness and feasibility of a brief ACT intervention for emotional eaters compared with standard care at a weight loss clinic in Toronto, Canada. Primary outcomes were changes in weight and emotional eating. Treatment satisfaction was also assessed. Results: Participants in neither condition lost weight. Both conditions displayed decreases in emotional eating, but no condition interaction was found. Both patients and physicians reported high treatment satisfaction with the ACT intervention. However, there were high attrition rates and variability in intervention completion times. Conclusion: The ACT intervention led to reductions in emotional eating and was well received by patients and physicians alike. However, the present study identified high attrition as a limitation to the feasibility of this mode of intervention delivery. Future interventions may be more effectively delivered in primary care settings by encouraging further brevity and exploring delivery by other health professionals. Trial registration: ClinicalTrials.gov NCT03611829. Registered 26 July 2018. Retrospectively registered.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.220
GPT teacher head0.463
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2020
Admission routes2
Has abstractyes

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