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Record W4383683310 · doi:10.58931/cdet.2023.1213

Resistance Exercise in the Context of Type 1 Diabetes

2023· article· en· W4383683310 on OpenAlexaff
Jane E. Yardley

Bibliographic record

VenueCanadian Diabetes & Endocrinology Today · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsHypoglycemiaAerobic exerciseMedicineGlycemicContext (archaeology)LongevityAthletesInsulin resistanceDiabetes mellitusType 2 diabetesType 1 diabetesPopulationGerontologyElite athletesPhysical exercisePhysical therapyEndocrinologyEnvironmental healthBiology

Abstract

fetched live from OpenAlex

Exercise and physical activity are associated with many benefits for individuals with type 1 diabetes (T1D), including increased longevity and a decrease in the incidence/severity of diabetes-related complications. Unfortunately, these activities (and aerobic exercise in particular) also increase the risk of hypoglycemia and glycemic variability, both of which act as barriers to being more active in this population. Resistance exercise is an often-overlooked activity, as historically it has been seen in training reserved for elite athletes. For individuals with T1D, it is associated with a multitude of benefits including a reduced risk of hypoglycemia during activity. With improved insulin formulations and rapid increases in technology to manage T1D, people with this condition are living longer, healthier lives. This article describes the many reasons why resistance exercise should be a part of this longevity.

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.154
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.273
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 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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