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      The association between dynamic lung volume and peak oxygen uptake in a healthy general population: the HUNT study

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          Abstract

          Background

          Although dynamic lung volume is not considered a limiting factor of peak oxygen uptake (VO 2peak) in healthy subjects, an association between forced expiratory lung volume in one second (FEV 1) and VO 2peak has been reported in a healthy population aged 69 – 77 years. We hypothesized that a corresponding association could be found in a healthy general population including young and middle-aged subjects.

          Methods

          In a population-based study in Norway, we investigated the association between FEV 1 above the lower limit of normal (LLN) and VO 2peak using linear regression and assessed the ventilatory reserve (VR) in healthy subjects aged 20 – 79 years ( n = 741).

          Results

          On average, one standard deviation (SD) increase in FEV 1 was associated with 1.2 ml/kg/min (95% CI 0.7 – 1.6) higher VO 2peak. The association did not differ statistically by sex ( p-value for interaction = 0.16) and was similar (0.9 ml/kg/min, 95% CI 0.2 – 1.5) in a sensitivity analysis including only never-smokers ( n = 376). In subjects below and above 45 years of age, corresponding estimates were 1.2 ml/kg/min (95% CI 0.5 – 1.8) and 1.2 ml/kg/min (95% CI 0.5 – 1.9), respectively. Preserved VR (≥ 20%) was observed in 66.6% of men and 86.4% of women.

          Conclusions

          Normal dynamic lung volume, defined as FEV 1 above LLN, was positively associated with VO 2peak in both men and women, in never-smokers and in subjects below and above 45 years of age. The majority of subjects had preserved VR, and the results suggest that FEV 1 within normal limits may influence VO 2peak in healthy subjects even when no ventilatory limitation to exercise is evident.

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          Most cited references12

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          Exercise-induced arterial hypoxemia.

          Exercise-induced arterial hypoxemia (EIAH) at or near sea level is now recognized to occur in a significant number of fit, healthy subjects of both genders and of varying ages. Our review aims to define EIAH and to critically analyze what we currently understand, and do not understand, about its underlying mechanisms and its consequences to exercise performance. Based on the effects on maximal O(2) uptake of preventing EIAH, we suggest that mild EIAH be defined as an arterial O(2) saturation of 93-95% (or 3-4% 25-30 Torr) and inadequate compensatory hyperventilation (arterial PCO(2) >35 Torr) commonly contribute to EIAH, as do acid- and temperature-induced shifts in O(2) dissociation at any given arterial PO(2). In turn, expiratory flow limitation presents a significant mechanical constraint to exercise hyperpnea, whereas ventilation-perfusion ratio maldistribution and diffusion limitation contribute about equally to the excessive A-a DO(2). Exactly how diffusion limitation is incurred or how ventilation-perfusion ratio becomes maldistributed with heavy exercise remains unknown and controversial. Hypotheses linked to extravascular lung water accumulation or inflammatory changes in the "silent" zone of the lung's peripheral airways are in the early stages of exploration. Indirect evidence suggests that an inadequate hyperventilatory response is attributable to feedback inhibition triggered by mechanical constraints and/or reduced sensitivity to existing stimuli; but these mechanisms cannot be verified without a sensitive measure of central neural respiratory motor output. Finally, EIAH has detrimental effects on maximal O(2) uptake, but we have not yet determined the cause or even precisely identified which organ system, involved directly or indirectly with O(2) transport to muscle, is responsible for this limitation.
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            Determinants of maximal oxygen transport and utilization.

            P. Wagner (1995)
            Maximal VO2 (VO2max) has mostly been the province of exercise physiologists wishing to provide a measure of athletic potential or to characterize subjects in exercise-related research. It is also used clinically to determine a patient's exercise capacity. More recently, it has been recognized that the study of VO2max can provide fundamental insight into O2 transport at all points between inspired air and muscle mitochondria. This review focuses on understanding how VO2max is set and concludes that the more athletic one is, the more VO2max is sensitive to O2 transport conductances in the lungs, circulation, and skeletal muscle. These transport conductances form an integrated system, all components interacting to define VO2max. A particularly important component is diffusive conductance in muscle. This appears to be abnormal in chronic conditions such as obstructive pulmonary disease and heart and renal failure and may well explain why correction of central cardiovascular defects in O2 transport in such patients fails to restore exercise capacity.
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              Estimating V·O 2peak from a nonexercise prediction model: the HUNT Study, Norway.

              Cardiorespiratory fitness is suggested to be an important marker of cardiovascular risk but is rarely evaluated in health care settings. In the present study, directly measured peak oxygen uptake (V·O 2peak) from a diverse population of 4637 healthy participants were used to develop and cross-validate a new nonexercise regression model of cardiorespiratory fitness for men and women. Multivariable regression analysis was used to develop a nonexercise model of cardiorespiratory fitness for men and women separately with V·O 2peak as the outcome. In the final models, 2067 men (mean age = 48.8 yr) and 2193 women (mean age = 47.9 yr) were included, respectively. Cross-validation of the models was done by standard data splitting procedures with evaluation of constant error and total error of a model developed on one sample and cross-validated on another sample. Age, waist circumference, leisure time physical activity, and resting HR, successively, were the most potent predictors of V·O 2peak for both men and women. Together, 61% and 56% of variance in V·O 2peak, for men and women, respectively, were explained by the full models. SEE was 5.70 and 5.14 for the models including men and women, respectively. The nonexercise regression model developed in the present study was fairly accurate in predicting V·O 2peak in this healthy population of men and women. The model might be generalized to other healthy populations and might be a valid tool for a rough assessment of cardiorespiratory fitness in an outpatient setting.
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                Author and article information

                Contributors
                oystein.rasch-halvorsen@ntnu.no
                erlend.hassel@ntnu.no
                arnulf.langhammer@ntnu.no
                ben.brumpton@ntnu.no
                sigurd.steinshamn@ntnu.no
                Journal
                BMC Pulm Med
                BMC Pulm Med
                BMC Pulmonary Medicine
                BioMed Central (London )
                1471-2466
                6 January 2019
                6 January 2019
                2019
                : 19
                : 2
                Affiliations
                [1 ]ISNI 0000 0001 1516 2393, GRID grid.5947.f, K.G. Jebsen Center for Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, , Norwegian University of Science and Technology, ; Trondheim, Norway
                [2 ]ISNI 0000 0001 1516 2393, GRID grid.5947.f, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, , Norwegian University of Science and Technology, ; Trondheim, Norway
                [3 ]ISNI 0000 0004 0627 3560, GRID grid.52522.32, Clinic of Thoracic and Occupational Medicine, St. Olavs Hospital, , Trondheim University Hospital, ; Trondheim, Norway
                [4 ]ISNI 0000 0001 1516 2393, GRID grid.5947.f, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, , Norwegian University of Science and Technology, ; Trondheim, Norway
                [5 ]NTNU, Faculty of Medicine and Health Sciences, Department of Circulation and Medical Imaging, 8905, 7491 Trondheim, Norway
                Author information
                http://orcid.org/0000-0001-7844-8508
                Article
                762
                10.1186/s12890-018-0762-x
                6322288
                30612551
                a3fad21b-9744-472d-9f91-7ecf217b5e61
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 July 2018
                : 10 December 2018
                Funding
                Funded by: The Norwegian ExtraFoundation for Health and Rehabilitation
                Award ID: 2015/FO5150
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Respiratory medicine
                exercise test,oxygen consumption,respiratory function tests,forced expiratory volume

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