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      Differences in Cardiac Output and Aerobic Capacity Between Sexes Are Explained by Blood Volume and Oxygen Carrying Capacity

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          Abstract

          Whether average sex differences in cardiorespiratory fitness can be mainly explained by blood inequalities in the healthy circulatory system remains unresolved. This study evaluated the contribution of blood volume (BV) and oxygen (O 2) carrying capacity to the sex gap in cardiac and aerobic capacities in healthy young individuals. Healthy young women and men ( n = 28, age range = 20–43 years) were matched by age and physical activity. Echocardiography, blood pressures, and O 2 uptake were measured during incremental exercise. Left ventricular end-diastolic volume (LVEDV), stroke volume (SV), cardiac output (Q), peak O 2 uptake (VO 2p eak ), and BV were assessed with precise methods. The test was repeated in men after blood withdrawal and reduction of O 2 carrying capacity, reaching women’s levels. Before blood normalization, exercise cardiac volumes and output (LVEDV, SV, Q) adjusted by body size and VO 2p eak (42 ± 9 vs. 50 ± 11 ml⋅min –1⋅kg –1, P < 0.05) were lower in women relative to men. Blood normalization abolished sex differences in cardiac volumes and output during exercise ( P ≥ 0.100). Likewise, VO 2p eak was similar between women and men after blood normalization (42 ± 9 vs. 40 ± 8 ml⋅min –1⋅kg –1, P = 0.416). In conclusion, sex differences in cardiac output and aerobic capacity are not present in experimental conditions matching BV and O 2 carrying capacity between healthy young women and men.

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          Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.

          The rapid technological developments of the past decade and the changes in echocardiographic practice brought about by these developments have resulted in the need for updated recommendations to the previously published guidelines for cardiac chamber quantification, which was the goal of the joint writing group assembled by the American Society of Echocardiography and the European Association of Cardiovascular Imaging. This document provides updated normal values for all four cardiac chambers, including three-dimensional echocardiography and myocardial deformation, when possible, on the basis of considerably larger numbers of normal subjects, compiled from multiple databases. In addition, this document attempts to eliminate several minor discrepancies that existed between previously published guidelines. Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015. For permissions please email: journals.permissions@oup.com.
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            Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis.

            Epidemiological studies have indicated an inverse association between cardiorespiratory fitness (CRF) and coronary heart disease (CHD) or all-cause mortality in healthy participants. To define quantitative relationships between CRF and CHD events, cardiovascular disease (CVD) events, or all-cause mortality in healthy men and women. A systematic literature search was conducted for observational cohort studies using MEDLINE (1966 to December 31, 2008) and EMBASE (1980 to December 31, 2008). The Medical Subject Headings search terms used included exercise tolerance, exercise test, exercise/physiology, physical fitness, oxygen consumption, cardiovascular diseases, myocardial ischemia, mortality, mortalities, death, fatality, fatal, incidence, or morbidity. Studies reporting associations of baseline CRF with CHD events, CVD events, or all-cause mortality in healthy participants were included. Two authors independently extracted relevant data. CRF was estimated as maximal aerobic capacity (MAC) expressed in metabolic equivalent (MET) units. Participants were categorized as low CRF ( or = 10.9 METs). CHD and CVD were combined into 1 outcome (CHD/CVD). Risk ratios (RRs) for a 1-MET higher level of MAC and for participants with lower vs higher CRF were calculated with a random-effects model. Data were obtained from 33 eligible studies (all-cause mortality, 102 980 participants and 6910 cases; CHD/CVD, 84 323 participants and 4485 cases). Pooled RRs of all-cause mortality and CHD/CVD events per 1-MET higher level of MAC (corresponding to 1-km/h higher running/jogging speed) were 0.87 (95% confidence interval [CI], 0.84-0.90) and 0.85 (95% CI, 0.82-0.88), respectively. Compared with participants with high CRF, those with low CRF had an RR for all-cause mortality of 1.70 (95% CI, 1.51-1.92; P < .001) and for CHD/CVD events of 1.56 (95% CI, 1.39-1.75; P < .001), adjusting for heterogeneity of study design. Compared with participants with intermediate CRF, those with low CRF had an RR for all-cause mortality of 1.40 (95% CI, 1.32-1.48; P < .001) and for CHD/CVD events of 1.47 (95% CI, 1.35-1.61; P < .001), adjusting for heterogeneity of study design. Better CRF was associated with lower risk of all-cause mortality and CHD/CVD. Participants with a MAC of 7.9 METs or more had substantially lower rates of all-cause mortality and CHD/CVD events compared with those with a MAC of less 7.9 METs.
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              A formula to estimate the approximate surface area if height and weight be known. 1916.

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                Author and article information

                Contributors
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                17 March 2022
                2022
                : 13
                : 747903
                Affiliations
                [1] 1Libin Cardiovascular Institute of Alberta, University of Calgary , Calgary, AB, Canada
                [2] 2Faculty of Kinesiology, University of Calgary , Calgary, AB, Canada
                [3] 3Cumming School of Medicine , Calgary, AB, Canada
                Author notes

                Edited by: Preeti H. Jethwa, University of Nottingham, United Kingdom

                Reviewed by: Alexander Hansen, University of Innsbruck, Austria; Iain Parsons, Ministry of Defence, United Kingdom

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

                Article
                10.3389/fphys.2022.747903
                8970825
                35370780
                80b27e37-4bde-4d81-a7a7-1c192398fb53
                Copyright © 2022 Diaz-Canestro, Pentz, Sehgal and Montero.

                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 July 2021
                : 02 February 2022
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 66, Pages: 11, Words: 7972
                Funding
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, doi 10.13039/501100001711;
                Funded by: Natural Sciences and Engineering Research Council of Canada, doi 10.13039/501100000038;
                Categories
                Physiology
                Original Research

                Anatomy & Physiology
                blood volume,hemoglobin mass,cardiac function,aerobic capacity,sex
                Anatomy & Physiology
                blood volume, hemoglobin mass, cardiac function, aerobic capacity, sex

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