MétaCan
Menu
Back to cohort
Record W2085145390 · doi:10.1097/hco.0b013e328364289c

Physical activity and risk of cardiovascular disease

2013· review· en· W2085145390 on OpenAlexfundno aff
Jian Li, Adrian Loerbroks, Peter Angerer

Bibliographic record

VenueCurrent Opinion in Cardiology · 2013
Typereview
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
FundersHeart and Stroke Foundation of Canada
KeywordsMedicinePhysical activityDiseaseEpidemiologyGerontologyLeisure timeEnvironmental healthPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Abundant evidence has documented inverse associations of physical activity and the risk of cardiovascular disease (CVD). However, the effects of different types of physical activity (e.g., leisure time and occupational physical activity) are still poorly understood. RECENT FINDINGS: Drawing on recommended and established guidelines for study selection, we identified and included 23 prospective epidemiological studies published during the last 2 years. These studies included a total of more than 790 000 adults at baseline with some 22 000 incident cases occurring during follow-up. Our findings suggest that moderate and high levels of leisure time physical activity are associated with a moderately reduced risk of CVD. In contrast, moderate and high levels of occupational physical activity showed weak positive associations, that is, a slightly increased risk of CVD. SUMMARY: This updated meta-analysis supports the notion of primary prevention of CVD through engagement in leisure time physical activity. The role of occupational physical activity in CVD prevention is questionable.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.176
GPT teacher head0.436
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations216
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in CardiologySame topicPhysical Activity and HealthFrench-language works237,207