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Record W3016822211 · doi:10.1186/s13690-020-0399-0

Impact of a multidisciplinary intervention on physical fitness, physical activity habits and the association between aerobic fitness and components of metabolic syndrome in adults diagnosed with metabolic syndrome

2020· article· en· W3016822211 on OpenAlexaff
Angelo Tremblay, Marie-Pier Bélanger, Rupinder Dhaliwal, Paula Brauer, Dawna Royall, David M. Mutch, Caroline Rhéaume

Bibliographic record

VenueArchives of Public Health · 2020
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity of GuelphKingston Health Sciences CentreUniversité Laval
Fundersnot available
KeywordsCardiorespiratory fitnessMedicineMetabolic syndromePhysical fitnessAerobic exerciseWaistPhysical therapyVO2 maxCardiovascular fitnessGerontologyObesityBlood pressureInternal medicineHeart rate

Abstract

fetched live from OpenAlex

Abstract Background Metabolic syndrome (MetS) is a health disorder characterized by metabolic abnormalities that predict an increased risk to develop cardiovascular disease (CVD) and type 2 diabetes (T2DM). It can be resolved, and its complications reduced, by lifestyle interventions offered in primary care. The objectives of this study were to evaluate the impact of the exercise program of the CHANGE feasibility study on physical fitness and physical activity habits, and assess associations between changes in MetS components and cardiorespiratory fitness (CRF). Methods In this analysis of 192 of the 293 adults with MetS in the overall study, the impact on physical fitness [aerobic capacity, muscular fitness and flexibility], and non-supervised physical activities was investigated over 12 months. In the CHANGE program, aerobic capacity, muscular fitness and flexibility were assessed at baseline, after 3 months of weekly supervised exercise, and following 9 additional months during which participants had one monthly session of supervised exercise. Additionally, CRF response was also examined in relation to changes in MetS components [fasting glucose, high-density lipoprotein (HDL) cholesterol, triglycerides, blood pressure, waist circumference (WC)]. Results Fitness variables were significantly increased at 12 months with most of the improvements reached by 3 months (estimated VO2 max: 6 and 12%; partial curl-ups: 55 and 80%; push-ups: 50 and 100%; flexibility: 22 and 10% in men and women, respectively, p < 0.001). As expected, the duration and intensity of supervised aerobic physical activity increased during the first 3 months of supervision in both men and women, and remained unchanged for the duration of the program. The duration of non-supervised physical activities did not change during the program in men whereas an increase in manual work of moderate intensity was recorded in women between 3 and 12 months. In women, mean changes in WC were significantly greater among high VO2 max responders than low responders, between 0 and 12 months, as well as between 3 and 12 months (− 3.42 cm and − 4.32 cm, respectively, p < 0.05). No associations were seen with MetS components in men. Higher intensity activities were maintained by both sexes at one year. Conclusion Patients with MetS participating in the CHANGE lifestyle program improved physical fitness and physical activity habits by three months and maintained these gains over one year. Women who achieved a greater VO2 max increase had greater reductions in WC compared to low VO2max responders.

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)0.002
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.044
GPT teacher head0.336
Teacher spread0.292 · 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

Citations11
Published2020
Admission routes1
Has abstractyes

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