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Abstract P422: Dissociation between Changes in Cardiorespiratory Fitness and Cardiometabolic Risk Profile in Response to Exercise in Abdominally Obese Adults

2013· article· en· W2316493174 on OpenAlexaff
Andrea M. Brennan, Miu Lam, Robert H. E. Hudson, Robert Ross

Bibliographic record

VenueCirculation · 2013
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineCardiorespiratory fitnessWaistInternal medicineAerobic exerciseBlood pressurePhysical therapyVO2 maxObesityEndocrinologyCardiologyHeart rate

Abstract

fetched live from OpenAlex

Cardiorespiratory fitness (CRF) is a strong, independent predictor of morbidity and mortality. Although the majority of adults who increase daily physical activity experience an increase in CRF (VO2 peak), about 10-15% of participants do not increase CRF despite participating in a standardized exercise program. In this study we sought to determine whether exercise combined with a healthy diet was associated with a corresponding improvement in cardiometabolic risk factors despite the absence of change in CRF. We studied 59 sedentary, abdominally obese (waist circumference: 104.6 ± 8.5cm) adults who participated in 3 (women) or 4 (men) months of supervised aerobic exercise. CRF was measured using a standard treadmill test. Cardiometabolic risk factors included fasting triglycerides, total cholesterol, HDL-C, LDL-C, insulin, glucose, systolic and diastolic blood pressure. Participants were asked to exercise 7 days per week for the time required to expend 500 kcals per session for women, and 700 kcals for men. The intensity of exercise was self-selected and ranged between 65-90% of VO2 peak. Men and women were combined for all analyses. To examine the relationship between corresponding changes in cardiometabolic risk factors and CRF, participants were divided into tertiles based on mean change in CRF. A linear trend test was used to characterize the change in cardiometabolic risk factors across CRF change tertiles. The volume (energy expenditure (kcal)) and intensity (%VO2 peak) of exercise performed across tertiles of change in CRF was not different (P>0.10). As expected a significant linear trend across tertiles was observed for change in CRF (P<0.001), however, the mean change in CRF within the lowest tertile was not significant (P>0.10). Without exception, no linear trend was observed for the change in cardiometabolic risk factors across tertiles of change in CRF (P>0.10). This was also true for change in waist circumference and visceral fat (P>0.10). Regression analysis using the total sample confirmed that, with the exception of glucose, the change score for each cardiometabolic risk factor was not related to the change in CRF (P>0.10). Our findings suggest that in abdominally obese adults, improvement in cardiometabolic risk profile is not associated with change in CRF and that increasing physical activity combined with a healthful diet is associated with substantial health benefit in the absence of change in CRF.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0030.001

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 head0.022
GPT teacher head0.302
Teacher spread0.280 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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