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Record W2138374627 · doi:10.3810/psm.2011.05.1909

Prescribing Exercise for Individuals with Type 2 Diabetes: Recommendations and Precautions

2011· review· en· W2138374627 on OpenAlexaff
Sheri R. Colberg, Ronald J. Sigal

Bibliographic record

VenueThe Physician and Sportsmedicine · 2011
Typereview
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Calgary
FundersFudan University
KeywordsMedicineGlycemicType 2 diabetesDiabetes mellitusExercise prescriptionSedentary lifestylePhysical therapyMedical prescriptionObesityPhysical exerciseType 2 Diabetes MellitusIntensive care medicinePhysical activityInternal medicineNursingEndocrinology

Abstract

fetched live from OpenAlex

An increasing prevalence of obesity and sedentary behavior has strongly contributed to the epidemic of type 2 diabetes mellitus. Although regular exercise improves glycemic control and is associated with reduced morbidity and mortality, many physicians fail to prescribe it. This article highlights the recommended types and quantities of physical activities that can (and should) be undertaken by individuals with type 2 diabetes, along with precautions required to maximize the safety of exercise in those using various medications and in the presence of diabetes-related complications. This article assesses the need for pre-exercise stress testing, reviews the latest exercise prescription recommendations for individuals with type 2 diabetes, and recommends strategies to assist individuals in adopting and maintaining an active lifestyle.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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)

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 head0.107
GPT teacher head0.358
Teacher spread0.252 · 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 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

Citations24
Published2011
Admission routes1
Has abstractyes

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