Metabolic Flexibility during Exercise in Children with Obesity and Matched Controls
Bibliographic record
Abstract
BACKGROUND: Impaired metabolic flexibility (MetFlex) could contribute to ectopic fat accumulation and pathological conditions, such as type 2 diabetes. MetFlex refers to the ability to adapt substrate oxidation to availability. To the best of our knowledge, no studies have examined MetFlex under exercise conditions in children with obesity (OB) compared with a control group (CON) without obesity. Therefore, the primary objective was to compare MetFlex during exercise in children with OB compared with CON matched for chronological age, sex, and biological maturation. A better understanding of MetFlex could help elucidate its role in the pathogenesis of childhood obesity and insulin resistance. METHODS: Children with obesity and without obesity age 8 to 17 yr attended two visits, which included anthropometric measurements, blood work (OB group only), a maximal aerobic fitness (V˙O2max) test, and MetFlex test with a C-enriched carbohydrate (1.75 g per kg of body mass, up to 75 g) ingested before 60 min of exercise at 45% V˙O2max. Breath measurements were collected to calculate exogenous CHO (CHOexo) oxidative efficiency as a measure of MetFlex. RESULTS: CHOexo oxidative efficiency (CHOexo oxidized/CHO ingested × 100) during exercise was significantly lower in OB (17.3% ± 4.0%) compared with CON (22.6% ± 4.7%, P < 0.001). CHOexo contributed less to total energy expenditure during exercise in OB compared with CON (P < 0.001), whereas the contribution of endogenous CHO (P = 0.19) and total fat was not significantly different (P = 0.91). CONCLUSIONS: The ability to oxidize oral CHO, an indicator of MetFlex, was 23.5% lower in children with obesity compared with controls, independent of age, sex, and pubertal effects. Thus, obesity at a young age could be associated with reduced MetFlex and future comorbidities.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".