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Record W4389246501 · doi:10.15273/hpj.v3i4.11717

Exercise Training Recommendations for Adults With and Without Chronic Disease to Improve Endothelial Health

2023· article· en· W4389246501 on OpenAlexaff
Madeline E. Shivgulam, Myles W. O’Brien

Bibliographic record

VenueHealthy Populations Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineAerobic exerciseDiseaseEndothelial dysfunctionPopulationPhysical therapyHeart failureEndotheliumIntervention (counseling)Coronary artery diseaseInternal medicineIntensive care medicineCardiologyNursing

Abstract

fetched live from OpenAlex

The endothelium is the innermost layer of the blood vessels and is responsible for the production of chemicals that are used to regulate arterial diameter in response to changes in blood flow. Dysfunction of the endothelium is a key precursor for cardiovascular disease. However, exercise training may mitigate this dysfunction and promote endothelial health. Therefore, this infographic illustrates findings from an umbrella review (review of reviews; 10.1007/s40279-023-01837-w) that investigated the impact of any exercise training intervention (intervention) on adults with or without chronic disease (population), with, or without a comparator group (comparison), on endothelial function (outcome) using evidence from 27 reviews, including 19 meta-analyses (5464 unique participants). Overall, the included reviews provided evidence that the type of training to optimally improve endothelial function may vary based on disease condition. Specifically, the evidence suggests that healthy adults benefitted most from high intensity aerobic training and/or more frequent low-moderate resistance training. In addition, adults with type 2 diabetes benefitted most from low-intensity resistance or low-moderate aerobic exercise training, whereas those with cardiovascular conditions (i.e., heart transplant patients, peripheral artery disease, heart failure, hypertension, and cerebrovascular disease) should consider engaging in higher-intensity aerobic training to improve endothelial function, although may still need to consult a healthcare provider. Exercise training also improves endothelial function in other chronic conditions including cancer and autoimmune rheumatic disease, but the evidence is insufficient to provide specific guidelines. Although insufficient data exists to determine specific intervention characteristics (i.e., frequency, intensity, type, time), this information provides a high level of evidence to support exercise training, including aerobic, resistance, and combined training as effective strategies to improve endothelial-dependent vasodilatory function in adults. These findings should help guide the design of specific exercise programs or recommendations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.379
Teacher spread0.307 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2023
Admission routes1
Has abstractyes

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