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Effects of manual resistance training and free weight resistance training on postexercise blood pressure in hypertensive men: a pilot study

2017· article· en· W2460501903 on OpenAlexaff
Cauê Vazquez La Scala Teixeira, Sionaldo Eduardo Ferreira, Paulo Henrique Silva Marques de Azevedo, Iván Chulvi‐Medrano, Sandor Dorgo, Belmiro Freitas de Salles, Roberto Simão, Ricardo José Gomes

Bibliographic record

VenueThe Journal of Sports Medicine and Physical Fitness · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsNorthwestern Polytechnic
Fundersnot available
KeywordsBlood pressureMedicineResistance trainingHemodynamicsCardiologyStrength trainingPhysical therapyInternal medicineDiastole

Abstract

fetched live from OpenAlex

BACKGROUND: Manual resistance training (MRT) is a low cost and practically applicable alternative form of resistance training that is ideal for weight rooms with limited equipment. The aim of this study was to compare the acute and subacute hemodynamic responses between MRT and free weight resistance training (FWRT) in normotensive (NT) and hypertensive (HT) men. METHODS: Twenty-six untrained men performed a single bout of MRT and FWRT with a minimum 72-hour rest in between. Systolic blood pressure (SBP), diastolic blood pressure (DBP), mean blood pressure (MBP) were measured, and double product (DP) was calculated. Variables were assessed at different time points: SBP, DBP and MBP (pre- and 15, 30, 45 and 60 minutes postexercise); DP (half-time and postintervention). RESULTS: The blood pressure values (BP) were greater in HT men in all analyses and interventions. BP responses were similar between MRT and FWRT in both groups of men. In HT men, there was postexercise hypotension (PEH) after 15, 30 and 60 minutes in MBP measured for both interventions. The DP was greater for the MRT intervention, but within the cardiovascular safety limits. CONCLUSIONS: MRT induces PEH in similar levels to FWRT in HT men. Therefore, MRT is a viable and safe alternative for application of FWRT in NT and HT men, reducing the need for expensive equipment.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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 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

Citations6
Published2017
Admission routes1
Has abstractyes

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