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Record W2331047549 · doi:10.1097/yco.0b013e3283438107

Steps towards permanently increasing physical activity in the population

2011· review· en· W2331047549 on OpenAlexaff
Ronald C. Plotnikoff, Nandini Karunamuni

Bibliographic record

VenueCurrent Opinion in Psychiatry · 2011
Typereview
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsPublic Health OntarioHealth Canada
Fundersnot available
KeywordsRecreationConceptualizationPsychological interventionLife course approachPhysical activityGerontologyMental healthPsychologyHealth promotionPromotion (chess)Public healthPopulationCognitionApplied psychologyMedicineDevelopmental psychologyEnvironmental healthPolitical scienceNursingComputer sciencePsychotherapistPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Maintaining recommended levels of physical activity throughout the lifespan is an important public health objective, considering this behaviour is positively associated with both physical and mental health across all age groups. This article provides an overview of selected publications with an exclusive focus on research relating to physical activity promotion published in the past 18 months. RECENT FINDINGS: Physical activity can be integrated during the life-course of individuals through recreational, transportation and occupational activities. A growing body of research on social-cognitive theories continues to inform the conceptualization and development of physical activity interventions. SUMMARY: Transitions during the life-course provide numerous challenges and opportunities for physical activity interventions. Multiple-level approaches across various settings and modes of delivery need to be taken into account to keep individuals active.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.214
GPT teacher head0.472
Teacher spread0.258 · 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 designOther design
Domainnot available
GenreReview

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
Published2011
Admission routes1
Has abstractyes

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