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Record W1978294549 · doi:10.1007/s12160-012-9390-5

Social Cognitive Changes Following Weight Loss and Physical Activity Interventions in Obese, Older Adults in Poor Cardiovascular Health

2012· article· en· W1978294549 on OpenAlexaff
Lawrence R. Brawley, W. Jack Rejeski, Jill E. Gaukstern, Walter T. Ambrosius

Bibliographic record

VenueAnnals of Behavioral Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Saskatchewan
FundersNational Center for Research ResourcesNational Heart, Lung, and Blood InstituteNational Institute on Aging
KeywordsHealth psychologyWeight lossPsychological interventionObesityPhysical activityCardiovascular healthMedicineGerontologyCognitionPsychologyClinical psychologyPhysical therapyPsychiatryPublic healthInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: The study objectives were to determine (a) the effects of group-mediated cognitive-behavioral interventions on change in performance self-efficacy, satisfaction with function, and with appearance among older, overweight/obese adults in poor cardiovascular health and (b) whether self-efficacy mediated change in 400-m walk time. METHODS: This translational, randomized controlled trial of physical activity and weight loss was conducted within community Cooperative Extension Centers. Participants were randomized to three intervention arms: Physical Activity, Weight Loss + Physical Activity, or a Successful Aging education control. RESULTS: Across 18 months, the Weight Loss + Physical Activity intervention demonstrated greater improvements in self-efficacy, satisfaction with function, and appearance versus other trial arms. Physical Activity intervention participants also experienced significant improvements in self-efficacy and satisfaction with function versus those in Successful Aging. Self-efficacy mediated 400-m walk time at 18 months. CONCLUSIONS: Both group-mediated cognitive-behavioral interventions yielded desirable improvements in social cognitions and preserved mobility improvements post-intervention.

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)0.001
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 score0.685
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.201
GPT teacher head0.470
Teacher spread0.269 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations34
Published2012
Admission routes1
Has abstractyes

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