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Record W4225935992 · doi:10.1161/circ.145.suppl_1.ep46

Abstract EP46: Can Middle-Aged Recreational Cyclists Remain In Energy Balance And Weight Stable When Involved In An Extreme Exercise And Energy Expenditure Intervention (4E Study)? Effect On Visceral Adiposity And Features Of Cardiometabolic Risk

2022· article· en· W4225935992 on OpenAlexaff
Dominic Chartrand, Adrien Murphy-Després, Isabelle Lemieux, Éric Larose, Paul Poirier, Jean‐Pierre Després, Natalie Alméras

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanCentres Intégré Universitaires de Santé et de Services SociauxInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineBioelectrical impedance analysisOverweightWeight lossPhysical therapyHeart rateObesityWeight managementAnthropometryInternal medicineBody mass indexBlood pressure

Abstract

fetched live from OpenAlex

Introduction: Weight loss is often considered a key target in lifestyle interventions aimed at reducing cardiometabolic risk in people with overweight/obesity. However, evidence suggests that regular endurance exercise can induce a mobilization of visceral fat in the absence of weight loss. Therefore, the objective of the present study was to test the effect of an extreme exercise prescription not aimed at weight loss on visceral adiposity and on indices of cardiometabolic health. Hypothesis: Despite our attempt to keep the cyclists weight stable during the 1-week exercise intervention, a loss of visceral fat would be observed. Methods: Eleven male recreational cyclists, aged 50 to 66 years and asymptomatic for cardiovascular disease, cycled 1144 km (715 miles) over a period of seven consecutive days. During the intervention, body weight and composition were assessed daily by bioelectrical impedance and cyclists’ caloric intake was increased to keep them in energy balance and weight stable. Their cardiometabolic health profile was documented before and after the intervention and included a fasting blood test, a resting hemodynamic profile, anthropometric, body composition and body fat distribution measurements including visceral adiposity assessed by magnetic resonance. A maximal cardiopulmonary exercise test was performed at baseline. During the intervention, energy expenditure was calculated from the caloric equivalents of oxygen consumption for each heart rate value acquired with a heart rate monitor. Prepared foods were provided to participants and their energy intake was closely monitored. Results: Small decreases in body weight (-0.8 kg, P <0.05), BMI (-0.3 kg/m 2 , P <0.05) and fat mass (-1.5 kg, P =0.0005) as well as a trend towards an increase in lean mass (+0.8 kg, P =0.07) were observed. Visceral adiposity (-14.1 mL, P <0.01) and waist circumference (-3.2 cm, P <0.0001) decreased while subcutaneous adiposity remained unchanged (-2.7 mL, NS). Decreases in total cholesterol (-1.17 mmol/L, P <0.001), LDL cholesterol (-0.97 mmol/L, P <0.0001), non-HDL cholesterol (-1.32 mmol/L, P <0.0001), triglycerides (-0.77 mmol/L, P <0.005), glycated hemoglobin (-0.1%, P <0.005), and resting systolic (-9 mmHg, P <0.01) and diastolic (-7 mmHg, P <0.01) blood pressure were noted. Conclusion: This study showed that recreational master cyclists were not able to remain in energy balance when exposed to a very large exercise prescription performed over one week. However, despite trivial changes in body weight and no change in subcutaneous adiposity, a significant reduction in visceral adiposity was observed. This study shows the differential response of subcutaneous vs visceral adiposity to a very large prescription of endurance exercise, and the inability of body weight changes to fully appreciate the effects of endurance exercise on features of cardiometabolic risk.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.239
Teacher spread0.225 · 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 designNon-randomized trial
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
Published2022
Admission routes1
Has abstractyes

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