Evidence map›Paper›PMID 41876712›Full record

ReviewJournal of human hypertension2026

Scientific advances in post-exercise hypotension: a bibliometric review.

Samara Sezana-Costa, Eduardo Amadeu Dutra Moresi, Thiago Dos Santos Rosa, Clarcson Placido Conceição Santos, Fernando Ribeiro, Alexandre Sergio Silva, Herbert Gustavo Simões, Marcos Doederlein Polito, Paulo Farinatti, Linda S Pescatello and 2 more

Abstract readReview
In one paragraph

Review in Journal of human hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Samara Sezana-Costa *Graduate Program in Physical Education Catholic University of Brasilia, Brasilia, Brazil.ORCID http://orcid.org/0009-0005-1048-5173
Eduardo Amadeu Dutra Moresi *Project Manager - Apple Developer Academy/Catholic University of Brasilia, Brasilia, Brazil.
Thiago Dos Santos Rosa *Graduate Program in Physical Education Catholic University of Brasilia, Brasilia, Brazil.ORCID http://orcid.org/0000-0003-0418-0945
Clarcson Placido Conceição SantosResearch Group on Metabolic Diseases, Physical Exercise and Health Technologies, Bahiana School of Medicine and Public Health, Salvador, Brazil.
Fernando RibeiroInstitute of Biomedicine (iBiMED), School of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID http://orcid.org/0000-0001-9094-1493
Alexandre Sergio SilvaDepartment of Physical Education, Laboratory of Physical Training Studies Applied to Performance and Health, Federal University of Paraíba, João Pessoa, Brazil.
Herbert Gustavo SimõesGraduate Program in Physical Education Catholic University of Brasilia, Brasilia, Brazil.
Marcos Doederlein PolitoResearch Group of Cardiovascular Response and Exercise, Londrina State University, Londrina, Paraná, PR, Brazil.ORCID http://orcid.org/0000-0002-6720-007X
Paulo FarinattiLaboratory of Physical Activity and Health Promotion, Institute of Physical Education and Sports, University of Rio de Janeiro State, Rio de Janeiro, RJ, Brazil;, University of Rio de Janeiro State, Rio de Janeiro, Brazil.
Linda S PescatelloDepartment of Kinesiology, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0002-5841-798X
Hugo de Luca CorreaGraduate Program in Physical Education Catholic University of Brasilia, Brasilia, Brazil. hugo.efucb@gmail.com.ORCID http://orcid.org/0000-0002-3080-9391
Milton Rocha MoraesDepartment of Physical Education, Laboratory of Physical Training Studies Applied to Performance and Health, Federal University of Paraíba, João Pessoa, Brazil. mrmoraes70@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to perform a bibliometric review to map scientific advances and research trends related to post-exercise hypotension (PEH), a transient blood pressure reduction following physical exercise, increasingly recognized as a non-pharmacological strategy for hypertension management. A comprehensive search was conducted on Scopusdatabase to identify publications on PEH from 1985 to 2024. Metadata from 440 selected articles were analyzed using VOSviewer™ and Gephi™ software to construct keyword co-occurrence networks and identify emerging research topics, influential authors, and leading institutions. Bibliometric analysis revealed an increasing trend in PEH publications over the past decade, with Brazil and the United States leading in research output. High-intensity interval training, isometric resistance exercise and nutritional interventions emerged as key topics. Findings emphasized exercise intensity, recovery posture, and dietary strategies modulate PEH magnitude and duration. Complex autonomic and vascular factors were consistently implicated as physiological mechanisms of PEH, supporting the importance of individualized exercise prescriptions. This review highlights the growing clinical and scientific importance of PEH research. Notable gaps include the need for standardized assessment methodologies, greater biomarker utilization, and further evaluation of multimodal exercise-nutrition strategies to improve clinical translation. Future studies should expand PEH research in clinically high-risk and underrepresented groups (e.g., older adults and individuals with cardiometabolic or renal comorbidities), using harmonized protocols to enhance comparability and applicability.

Indexed as

Blood PressureExercisePost-Exercise HypotensionBibliometricsHumans

Identifiers

PMID41876712
PMCPMC13143819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.