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Social support and physical activity participation among healthy adults: a systematic review of prospective studies

2016· review· en· 222 citations· W2515514073 on OpenAlex· 10.1080/1750984x.2016.1183222

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Systematic reviewConsensus signal: Systematic review
Genre
Candidate signal: ReviewConsensus signal: Review
Teacher disagreement score
0.169
Threshold uncertainty score
0.818
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.000
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)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.079
GPT teacher head0.492
Teacher spread
0.413 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

The objective of this review was to determine the direction and strength of the prospective relationship between social support and PA among healthy adults. A systematic review was conducted; including studies up until December 2015, in the following databases: Ovid MEDLINE, EMBASE, PsychINFO, SPORTDiscus, and Scopus. Published English and French written studies were included if the reported study used a longitudinal design; examined the relationship between social support and PA over at least two intervals; and assessed a sample of healthy adults between 18–65 years of age. Two reviewers independently extracted study information and independently assessed the risk of bias in each study. The initial search yielded a total of 2892 citations, and 20 studies were included in the review. Follow-up period ranged from 2 weeks to 10 years. Irrespective of the type and source of support, the strength and direction of the association between social support and PA was inconsistent across studies, with effect sizes ranging from small to large and from negative to positive. Based on meta-analysis, there was a small positive association between support for PA from friends and future PA. Researchers are encouraged to continue to conduct longitudinal studies to better understand the relationship between social support and PA.

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.

The record

Venue
International Review of Sport and Exercise Psychology
Topic
Physical Activity and Health
Field
Medicine
Canadian institutions
University of British ColumbiaUniversity of Toronto
Funders
not available
Keywords
ScopusSocial supportPsychologyAssociation (psychology)Meta-analysisMEDLINELongitudinal studyWeb of scienceProspective cohort studyClinical psychologyGerontologyMedicineSocial psychologyInternal medicine
Has abstract in OpenAlex
yes