Insulin resistance without coexisting hyperglycaemia is not independently associated with cardiorespiratory fitness or its components in women
Bibliographic record
Abstract
Abstract Background Insulin resistance (IR) is a globally prevalent condition in which tissues’ response to insulin is diminished. Cardiorespiratory fitness (peak O2 uptake (VO2peak)) is determined by Fick’s equation (VO2 = cardiac output (CO) × arteriovenous O2 difference (Ca-vO2) = heart rate × stroke volume (SV) × Ca-vO2) and diffusion law (VO2 = diffusive O2 conductance (DO2) × constant k × venous O2 pressure (PvO2)). Several studies suggest an association between IR and decreased VO2peak, but the association has been questioned by analyses taking account of body size and composition, and potential mechanisms behind the association are unknown. Purpose To test a hypothesis that IR is not independently associated with VO2peak or its components. Methods Fifty of 144 women, who had participated in baseline experiments of three intervention studies, were included in this retrospective cross-sectional study; see Table 1 for subject characteristics. The inclusion criteria were age 18-40 years, body mass index 18.5-40 kg/m2, Caucasian origin, and available data on key measures. The exclusion criteria were diseases, medications, and other factors possibly affecting VO2peak. We measured haemoglobin, fasting glucose, and fasting insulin concentrations (blood), assessed IR (homeostasis model assessment (HOMA-IR)), and measured body size and composition (bioimpedance). The subjects performed an incremental cycling test to volitional fatigue; we measured ventilatory gas exchange (spiroergometry), arterial O2 saturation (oximetry), and SV and CO (impedance cardiography), and calculated Ca-vO2, DO2, and PvO2. We analysed VO2peak and its components as absolute (e.g. L/min) and ratiometrically scaled values (e.g. mL/min/kg), and when appropriate, also as allometrically scaled values (e.g. mL/min/kg^x, where 0 < x < 1) after identifying optimal variable-specific exponents. Results VO2peak scaled to body mass (BM) as well as SVpeak and COpeak scaled to body surface area (BSA) were inversely associated with the body size variables they were scaled to (all P < 0.013). Contrariwise, this was not the case when we optimally scaled VO2peak to fat-free mass (FFM), SVpeak to FFM^0.55, COpeak to FFM^0.50, and DO2peak to FFM (all 0.066 < P < 0.977). HOMA-IR was inversely associated with VO2peak scaled to BM but not in a multivariate analysis, whereas HOMA-IR was not associated with VO2peak scaled to FFM (Table 2); we made alike observations with SVpeak and COpeak (data not shown). Further, VO2peak scaled to BM as well as SVpeak and COpeak scaled to BSA were or tended to be up to 15 % higher in a group with HOMA-IR<3.0 than in a group with HOMA-IR≥3.0, while other peak exercise data did not differ between the groups (Table 1). Conclusion Body size and composition significantly affect conclusions drawn regarding VO2peak and its components. Taking this into account, IR without coexisting hyperglycaemia is not independently associated with VO2peak or its components in women.Table 1Table 2
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".