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Record W4213357655 · doi:10.17925/use.2013.09.02.95

Exercise is Medicine—The Importance of Physical Activity, Exercise Training, Cardiorespiratory Fitness, and Obesity in the Prevention and Treatment of Type 2 Diabetes

2013· article· en· W4213357655 on OpenAlexaff
Carl J. Lavie, Neil M. Johannsen, Damon L. Swift, Martin Sénéchal, Conrad P. Earnest, Timothy Church, Adrian Hutber, Robert E. Sallis, Steven N. Blair

Bibliographic record

VenueUS Endocrinology · 2013
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsJuvenile Diabetes Research FoundationUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsMedicineCardiorespiratory fitnessType 2 diabetesDiabetes mellitusGlycemicPopulationObesityAerobic exercisePhysical therapyPhysical fitnessInternal medicineGerontologyEndocrinologyEnvironmental health

Abstract

fetched live from OpenAlex

Type 2 diabetes has reached epidemic proportions worldwide and is associated with increased risk for cardiovascular diseases and premature mortality. Diet and physical activity (PA)-based lifestyle interventions have been shown to prevent progression to type 2 diabetes in patients at high risk. Regular PA substantially reduces the risk for type 2 diabetes and a high level of PA is associated with a substantial reduction in type 2 diabetes risk. In addition, there is strong evidence suggesting a steep inverse relationship between both PA and cardiorespiratory fitness (CRF) and mortality in patients with type 2 diabetes. Of particular concern is the dramatic, steep increase in mortality among patients with low CRF. An important point is that obese individuals who are at least moderately fit have a lower mortality risk than those who are normal weight but unfit. A large body of evidence demonstrates that exercise improves glycemic control in type 2 diabetes; the greatest improvements are achieved with combined aerobic and resistance training. A primary goal of public health strategies is to promote PA and move patients out of the least fit, high-risk cohort by increasing PA among the least active. Any plan to deal with the global epidemic of type 2 diabetes must give major attention to low PA and how this can be reversed in the general population.

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)0.000
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 score0.748
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.279
Teacher spread0.251 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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