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Record W2924868137 · doi:10.1111/aphw.12160

Living for Today or Tomorrow? Self‐Regulation amidst Proximal or Distal Exercise Outcomes

2019· article· en· W2924868137 on OpenAlexaff
M. Blair Evans, Erin R. Shanahan, Scott A. Leith, Noah Litvak, Anne E. Wilson

Bibliographic record

VenueApplied Psychology Health and Well-Being · 2019
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsCanadian Fitness and Lifestyle Research InstituteWilfrid Laurier University
Fundersnot available
KeywordsMedicinePromotion (chess)Physical therapyPhysical activitySelf-efficacyPsychologyGerontologySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Although health promotion efforts to increase exercise behavior often emphasise long-term outcomes, sustained action in service of a distal reward is challenging. These studies examined how focusing on the proximal benefits of exercise, compared to distal outcomes or more general outcomes, may strengthen individuals' self-regulatory self-efficacy and support physical activity or exercise behavior. METHODS: Participants in Study 1 (N = 1057 community members) completed an online survey. Participants in Study 2 (N = 69 students) and Study 3 (N = 107 students) experienced experimental manipulations related to proximal or distal outcomes of exercise, and then completed survey measures. In Study 4, new members at a commercial gym (N = 210) completed a survey and had check-ins recorded over 17 weeks. RESULTS: In Study 1, participants who ranked proximal outcomes of exercise as relatively more important than distal outcomes reported more frequent physical activity. In Studies 2 and 3, participants induced to focus on proximal outcomes reported increased self-regulatory self-efficacy. In Study 4, valuing proximal benefits predicted sustained exercise behavior (i.e. check-ins), particularly when fitness goal adherence felt difficult. CONCLUSIONS: Those holding increased proximal outcome beliefs reported more activity and greater efficacy to overcome the barriers that derail exercise.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.387
Teacher spread0.359 · 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.

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

Citations11
Published2019
Admission routes1
Has abstractyes

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