47
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Hemodynamic and cardiorespiratory responses to submaximal and maximal exercise in adults with Down syndrome

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction: The genetic disorder causing Down syndrome (DS) affects the cardiorespiratory and hemodynamic parameters. When exercising, sufficient blood flow is necessary for active muscles. Cardiac output (Q) must be proportional to the peripheral requirements. In case the stroke volume (SV) is lower, the heart rate (HR) will increase further in order to maintain an adequate blood flow in the active territories (HR compensatory response). People with DS have a lower HR response to maximal exercise. Nevertheless, the response of the hemodynamic and cardiorespiratory parameters during the submaximal phases of maximal exercise was not well studied.

          Objective: to evaluate cardiorespiratory and hemodynamic parameters 1) during submaximal and 2) maximal metabolic treadmill test in individuals with and without DS.

          Methods: fifteen adults with DS (age = 27.33 ± 4.98 years old; n = 12 males/3 females) and 15 adults without disabilities, matched by age and sex, participated in this cross-sectional study. Peak and submaximal cardiorespiratory and hemodynamic parameters were measured during a treadmill test. Linear mixed-effects models were used to analyse interactions between the variables. Post-hoc analyses were employed to assess within and between-group differences.

          Results: The DS group showed lower peak values for ventilation (VE), respiratory exchange ratio (RER), tidal volume (V T), ventilatory equivalent for O 2 (VEqO 2), end-tidal partial pressure for O 2 (P ETO 2), O 2 uptake (VO 2) and CO 2 production (all p < 0 .050), Q, SV, systolic and diastolic blood pressure (SBP, DBP), and HR (all p < 0 .050). There were group-by-time interactions (all p < 0 .050) for all ventilatory submaximal values. Significant group and time differences were observed for VE; RER; respiratory rate (RR); VEqO 2; P ETO 2; VO 2, and V T (all p < 0 .050). There were also group-by-time interactions (all p < 0 .050) and group and time differences for SBP, mean arterial blood pressure (MAP) and HR (all p < 0.010).

          Conclusion: During submaximal exercise, we verified a compensatory response of HR, and greater VE and VO 2 in the individuals with DS. In addition, we were able to observe that the DS group had a reduced SBP and MAP response to submaximal exercise. On the other hand, we found that adults with DS have lower peak hemodynamic and cardiorespiratory values, and a lower cardiac reserve. Further research is warranted to investigate the effects of these results on the general health of adults with DS and the impact of long-term exercise programs on these parameters.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: not found
          • Article: not found

          World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

          (2013)
            • Record: found
            • Abstract: found
            • Book: not found

            Statistical Power Analysis for the Behavioral Sciences

            <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
              • Record: found
              • Abstract: found
              • Article: not found

              Computation of aortic flow from pressure in humans using a nonlinear, three-element model.

              We computed aortic flow pulsations from arterial pressure by simulating a nonlinear, time-varying three-element model of aortic input impedance. The model elements represent aortic characteristic impedance, arterial compliance, and systemic vascular resistance. Parameter values for the first two elements were computed from a published, age-dependent, aortic pressure-area relationship (G. J. Langewouters et al. J. Biomech. 17:425-435, 1984). Peripheral resistance was predicted from mean pressure and model mean flow. Model flow pulsations from aortic pressure showed the visual aspects of an aortic flow curve. For evaluation we compared model mean flow from radial arterial pressure with thermodilution cardiac output estimations, 76 times, in eight open heart surgical patients. The pooled mean difference was +7%, the SD 22%. After using one comparison per patient to calibrate the model, however, we followed quantitative changes in cardiac output that occurred either during changes in the state of the patient or subsequent to vasoactive drugs. The mean deviation from thermodilution cardiac output was +2%, the SD 8%. Given these small errors the method could monitor cardiac output continuously.

                Author and article information

                Contributors
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                19 August 2022
                2022
                : 13
                : 905795
                Affiliations
                [1] 1 Faculty of Psychology , Education and Sport Science Blanquerna , University Ramon Llull , Barcelona, Spain
                [2] 2 School of Health Science Blanquerna , University Ramon Llull , Barcelona, Spain
                [3] 3 Serra Hunter Fellow , Department of Cognition , Development and Educational Psychology , Faculty of Psychology , University of Barcelona , Barcelona, Spain
                [4] 4 Institute of Neuroscience , University of Barcelona , Barcelona, Spain
                [5] 5 Department of Health Sciences and Human Performance , College of Natural and Health Sciences , The University of Tampa , Tampa, FL, United States
                [6] 6 Foodlab Research Group , Faculty of Health Sciences , Universitat Oberta de Catalunya , Barcelona, Spain
                [7] 7 Department of Social Psychology and Quantitative Psychology , Faculty of Psychology , University of Barcelona , Barcelona, Spain
                [8] 8 Universitat de Barcelona Institute of Complex Systems , Barcelona, Spain
                [9] 9 Department of Physiological Sciences , Faculty of Medicine , University of Barcelona , Barcelona, Spain
                Author notes

                Edited by: Sabina Gallina, University of Studies G d'Annunzio Chieti and Pescara, Italy

                Reviewed by: Felipe Contreras-Briceño, Pontificia Universidad Católica de Chile, Chile

                Klara Komici, University of Molise, Italy

                *Correspondence: Guillermo R. Oviedo, guillermorubeno@ 123456blanquerna.url.edu

                This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology

                Article
                905795
                10.3389/fphys.2022.905795
                9437284
                36060693
                c88e67f7-dde5-4626-87b0-d8af0535bed1
                Copyright © 2022 Oviedo, Carbó-Carreté, Guerra-Balic, Tamulevicius, Esquius, Guàrdia-Olmos and Javierre.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 March 2022
                : 29 June 2022
                Funding
                Funded by: Ministerio de Economía y Competitividad , doi 10.13039/501100003329;
                Funded by: Ministerio de Ciencia, Innovación y Universidades , doi 10.13039/100014440;
                Categories
                Physiology
                Original Research

                Anatomy & Physiology
                down syndrome,cardiorespirarory fitness,blood preasure,exercice,hemodymamics
                Anatomy & Physiology
                down syndrome, cardiorespirarory fitness, blood preasure, exercice, hemodymamics

                Comments

                Comment on this article

                Related Documents Log