MétaCan
Menu
Back to cohort
Record W4409575140 · doi:10.1249/mss.0000000000003720

Acute Effects of Daily Life Spontaneous and Structured Physical Activity on Glycemia in Children with Type 1 Diabetes

2025· article· en· W4409575140 on OpenAlexaff
Angéline Melin, Élodie Lespagnol, Sémah Tagougui, Julie Dereumetz, Pierre Morel, Serge Berthoin, Cassandra Parent, Alexis Coquart, Chantal Stuckens, Christine Lefèvre, Georges Baquet, Rémi Rabasa‐Lhoret, Elsa Heyman

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsUniversité de MontréalMontreal Clinical Research Institute
Fundersnot available
KeywordsMedicineGlycemicHypoglycemiaType 1 diabetesConfoundingDiabetes mellitusInsulinInternal medicineOdds ratioLogistic regressionType 2 diabetesPhysical activityContinuous glucose monitoringEndocrinologyPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVES: In type 1 diabetes, glycemia management is rendered complex through the confounding influence of spontaneous physical activity (PA), particularly frequent in children. We aim to understand the glycemic effects of self-reported PA and cumulative spontaneous PA in their everyday life, controlling for carbohydrate intake and insulin. METHODS: In this 7-d observational study, 45 children/adolescents (21 females, 11.7 ± 3.4 yr) wore a continuous glucose monitoring system and accelerometer, completing diaries about PA, diet, and insulin. Types of PA included (i) self-reported PA and its characteristics (duration, subjective intensity) and conditions (previous sessions, timing and pre-exercise carbohydrate intake, insulin-on-board, glycemia), and (ii) spontaneous cumulative PA (accelerometry) adjusted for sedentary time. Linear mixed models were used with results expressed as the estimated coefficient " e ." In cases of skewed continuous dependent outcomes containing a preponderance of zero % values, random-intercept binary logistic regressions were used with results expressed as odds ratios (OR). RESULTS: Accumulating moderate-to-vigorous PA during the late afternoon ( e = -0.32, P = 0.039) was associated with decreased concomitant time spent >13.9 mmol·L -1 . Time spent >10.0 mmol·L -1 during self-reported PA was lower when children consumed less high-glycemic-index carbohydrates the previous hour ( e = +0.49, P = 0.034; albeit found only in one model out of two) or were physically active before the session (tendency: e = -11.58, P < 0.07). PA conditions were not significantly associated with hypoglycemia. Risk of spending some time <3.9 mmol·L -1 during sessions was higher in the case of longer PA duration (OR = 1.02, P = 0.008). Risk of nocturnal time <3.0 mmol·L -1 was greater when children performed longer duration structured PA (OR = 1.02, P = 0.054) or accumulated more afternoon vigorous-intensity PA (OR = 1.06, P = 0.04). CONCLUSIONS: Increasing spontaneous active behavior during the late afternoon could help reduce daytime spent >13.9 mmol·L -1 . There is a possibility that hyperglycemia during exercise could be limited by multiplying daily PA sessions or avoiding excessive pre-exercise carbohydrate intake. However, as only sessions characteristics, especially duration, predicted time <3.9 mmol·L -1 during PA and <3.0 mmol·L -1 the following night, simplified guidelines (not considering PA conditions) on hypoglycemic risk could be developed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.273
Teacher spread0.268 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueMedicine & Science in Sports & ExerciseSame topicDiabetes Management and ResearchFrench-language works237,207