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Record W2283277857 · doi:10.1111/sms.12661

The ambulatory hypotensive effect of aerobic training: a reappraisal through a meta‐analysis of selected moderators

2016· review· en· W2283277857 on OpenAlexaff
P. Sosner, Thibaut Guiraud, V. Gremeaux, Denis Arvisais, D Herpin, Laurent Bosquet

Bibliographic record

VenueScandinavian Journal of Medicine and Science in Sports · 2016
Typereview
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineAmbulatoryAmbulatory blood pressureAerobic exerciseBlood pressureMeta-analysisDiastoleInternal medicinePhysical therapyCardiology

Abstract

fetched live from OpenAlex

The effectiveness of regular exercise in decreasing both systolic and diastolic blood pressure (BP) is well-established. Our purpose was to assess the impact of both subject and physical activity program characteristics on ambulatory BP through a meta-analysis of the existing literature. Three databases (PubMed, Embase, Web of Science) were searched using relevant terms and strategies. From 637 identified records, 37 studies met inclusion criteria: details about training intervention and participant characteristics, pre- and post-training ambulatory BP measurements, at home (HBPM) or during 24-h (ABPM). The weighted mean difference was for 24-h systolic/diastolic ABPM (n = 847 participants): -4.06/-2.77 mmHg (95%CI: -5.19 to -2.93/-3.58 to -1.97; P < 0.001), for daytime (ABPM or HBPM, n = 983): -3.78/-2.73 mmHg (95%CI: -5.09 to -2.47/-3.57 to -1.89; P < 0.001) and nighttime ABPM periods (n = 796): -2.35/-1.70 mmHg (95%CI: -3.26 to -1.44/-2.45 to -0.95; P < 0.001). Characteristics significantly influencing BP improvement were: an initial office BP ≥130/85 mmHg and diet-induced weight-loss. We found no differences according to sex, age, or training characteristics (intensity, number of sessions, training duration). Antihypertensive effects of aerobic training assessed by ambulatory BP measurements appear significant and clinically relevant for both daytime and nighttime periods, in particular for participants with an office BP ≥130/85 mmHg.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.872
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0010.004
Science and technology studies0.0000.003
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 head0.067
GPT teacher head0.374
Teacher spread0.308 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations52
Published2016
Admission routes1
Has abstractyes

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