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Record W4399686040 · doi:10.2337/db24-963-p

963-P: Is Using an Automated Insulin Delivery System Associated with a Higher Physical Activity Frequency? A BETTER Registry Analysis

2024· article· en· W4399686040 on OpenAlexaboutno aff
ZEKAI WU, Jane E. Yardley, Tamanna Chahal, CAPUCINE GUÉDET, Virginie Messier, Caroline Grou, Valérie Boudreau, ANNE-SOPHIE BRAZEAU, RÉMI RABASA-LHORET

Bibliographic record

VenueDiabetes · 2024
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsType 1 diabetesMedicineInsulin pumpInsulin deliveryPhysical therapyDiabetes mellitusFamily medicineGerontologyEndocrinology

Abstract

fetched live from OpenAlex

Introduction & Objective: To explore the association between using an automated insulin delivery (AID) system and physical activity (PA) frequency among people with type 1 diabetes (T1D). Methods: Cross-sectional study using the Canadian BETTER T1D registry. Inclusion criteria: T1D; aged ≥ 18 y/o; reported PA with a validated questionnaire (Canadian Community Health Survey). “PA” includes organized or unorganized sports, fitness or recreational PA lasting ≥ 10 consecutive minutes; “moderate to vigorous PA” is PA that makes participants sweat at least a little and breathe harder. Regression models (with and without adjustment for imbalanced variables - sex, age, T1D duration) were used to compare PA frequency among treatment options, with pairwise comparison between the AID group and each of the other groups. Results: Among 1213 participants, the AID group and pump+continuous glucose monitoring (CGM) group had a similar frequency of PA and moderate to vigorous PA, but these levels were higher in the AID group than those of injections+CGM and no-CGM groups (Table). Conclusion: In real-world settings, compared with injections+CGM or No-CGM, AID users within the BETTER T1D registry have a higher frequency of PA and moderate to vigorous PA. However, these frequencies are similar between AID and pump+CGM users. Disclosure Z. Wu: None. J.E. Yardley: Speaker's Bureau; Dexcom, Inc. Research Support; LifeScan Diabetes Institute. T. Chahal: None. C. Guédet: None. V. Messier: None. C. Grou: None. V. Boudreau: None. A. Brazeau: Other Relationship; Dexcom, Inc. Research Support; Canadian Institutes of Health Research, Juvenile Diabetes Research Foundation (JDRF), Diabète québec, Fonds de recherche du Québec en Santé. R. Rabasa-Lhoret: Other Relationship; Abbott, AstraZeneca, Bayer Inc., Boehringer-Ingelheim, Dexcom, Inc. Research Support; Diabetes Canada. Other Relationship; Eli Lilly and Company. Research Support; Cystic Fibrosis Canada, Canadian Institutes of Health Research, FFRD - Fondation Francophone pour la Recherche du Diabète. Other Relationship; Janssen Pharmaceuticals, Inc. Research Support; Juvenile Diabetes Research Foundation (JDRF). Other Relationship; Novo Nordisk, GlaxoSmithKline plc. Consultant; HLS Therapeutics Inc., Insulet Corporation. Speaker's Bureau; CPD Networks. Other Relationship; Medtronic. Consultant; Pfizer Inc. Speaker's Bureau; Tandem Diabetes Care, Inc. Other Relationship; Sanofi. Speaker's Bureau; Vertex Pharmaceuticals Incorporated. Research Support; SFD - Société Francophone du Diabète. Funding Canadian Institutes of Health Research (JT1-157204) and Juvenile Diabetes Research Foundation (4-SRA-2018-651-Q-R)

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.028
GPT teacher head0.310
Teacher spread0.282 · 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 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
Published2024
Admission routes1
Has abstractyes

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