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      Comparação da resposta autonômica cardiovascular de praticantes de musculação, corredores de longa distância e não praticantes de exercício Translated title: Comparison of cardiovascular autonomic response among body builders, long distance runners and non-trained

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          Abstract

          Objetivou-se comparar a resposta autonômica cardiovascular (RAC) de praticantes de musculação, corredores de longa distância e não praticantes de exercício. Homens, 21 a 55 anos, foram agrupados em: Praticantes Musculação (PM, n = 31); Praticantes Corrida (PC, n = 28); Controle (C, n = 35). Foram selecionadas quatro técnicas para avaliação da RAC: Frequência cardíaca de repouso (FCR), Teste pressórico do frio (TPF), Variabilidade da FC (VFC) e recuperação da FC pós-teste máximo em esteira. A FCR foi menor no grupo PC (PC = 54 ± 2; PM= 62 ± 2; C = 65 ± 2 bpm; média ± EPM). A recuperação da FC aos 60 s pós-teste de esforço foi maior no grupo PC (PC = 34 ± 3; PM = 23 ± 1; C = 24 ± 2; bpm). Quanto aos parâmetros espectrais de alta (HF) e baixa (LF) frequência da VFC, o grupo PC apresentou maior HF (55,1 ± 4,0 n.u) e menor LF (43,1 ± 4,0 n.u) comparado ao grupo C (HF = 40,7 ± 3,3; LF = 56,7 ± 3,5 n.u). O grupo PM não apresentou qualquer diferença de RAC em comparação ao grupo C. Conclui-se que prática contínua em musculação por longo prazo, diferentemente da prática de corrida de longa distância, não é capaz de alterar significativamente a RAC.

          Translated abstract

          The aim of the study was to compare the cardiovascular autonomic response (CAR) of recreational weight trainers, long distance runners and non-exercised subjects. Men, 21 to 55 years old, were grouped in: recreational weight trainers (W, n = 31), long distance runners (R, n = 28) and non-exercised (C, n = 35). Four strategies of evaluation of the CAR were selected: Resting heart rate (RHR), cold pressor test (CPT), heart rate variability (HRV) and heart rate recovery (HHR) following maximal exercise test. The RHR was lower (R = 54 ± 2; W = 62 ± 2; C= 65 ± 2 bpm; mean ± SE) and the HHR 60s post exercise was larger in the R group (R = 34 ± 3; W = 23 ± 1; C = 24 ± 2 bpm). The R group presented larger high-frequency (HF; 55.1 ± 4.0 n.u) and smaller low-frequency (LF; 43.1 ± 4.0 n.u) components of HRV than C group (HF = 40.7 ± 3.3; LF = 56.7 ± 3.5 n.u.). The W group did not show any differences compared to C group. The study's conclusion was that long-term weight-training program, unlike of long-term running training, it is not able to alter significantly the regulatory pattern of CAR.

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          Recovery of heart rate following intense dynamic exercise.

          The Olympic biathlon is a very demanding physical event that requires high oxygen delivery, good cross-country skiing skills and skilful use of a rifle. Like all high-performance endurance athletes, high cardiac vagal tone is a characteristic and extends the range over which cardiac output can increase. In the biathlete, however, the enhanced vagal control of the heart also allows a strategy for better control of stability needed for accurately firing a rifle at the end of each lap of the race. The role of endurance training, central command, reflexes from muscle, and of the carotid-cardiac baroreceptor reflex in changing vagal tone during intense exercise and recovery is discussed.
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            Evaluation of three devices for self-measurement of blood pressure according to the revised British Hypertension Society Protocol: the Omron HEM-705CP, Philips HP5332, and Nissei DS-175.

            OBJECTIVE: We evaluated three devices for self-measurement of blood pressure - the Omron HEM-705CP, the Philips HP5332 and the Nissei DS-175 - according to the revised protocol of the British Hypertension Society (BHS). The results were also analysed according to the criteria for accuracy of the revised standard of the Association for the Advancement of Medical Instrumentation (AAMI). DESIGN: The revised BHS protocol is divided into two parts. Part I, the part applicable to this study, comprises the main validation procedure and has five phases: Before-use device calibration; in-use (field) phase; after-use device calibration; static device validation; report of evaluation. METHODS: Three models of each device passed the before-use device calibration test, after which they entered the in-use phase, which involved use of the three recorders for a month; inter-device calibration was assessed again at the end of the month. There was no difference in calibration testing between the three models of each device, and therefore one of each was selected randomly; the main validation test was carried out in 85 subjects with a wide range of pressures, and the results were analysed according to the BHS grading system from A to D. RESULTS: The Omron HEM-705CP achieved an overall B/A grading and fulfilled the AAMI accuracy criteria; the Philips HP5332 achieved an overall C/A grading and failed the AAMI accuracy criteria for measuring systolic pressure; the Nissei DS-175 achieved an overall D/A grading and failed the AAMI accuracy criteria for measuring systolic pressure. When the BHS and AAMI criteria were applied to tertiles of pressure (low-pressure range 160/100 mmHg) all three devices were less accurate in the high-pressure range: the Omron HEM-705CP achieved C/B grading while continuing to fulfil the AAMI criteria; the Philips HP5332 dropped to D grading for systolic pressure and the Nissei DS-175 achieved a lower D grading for systolic pressure. The mean and standard deviation of the first mercury sphygmomanometer measurements were 148+/-35/88+/-22 mmHg. Acceptability by the users was good and the manufacturer's manual was satisfactory for all three devices. CONCLUSIONS: On the basis of these results, the Omron HEM-705CP was the most accurate of the three devices tested, achieving Grade B for systolic and Grade A for diastolic pressure, as well as fulfilling the AAMI criteria for accuracy for both systolic and diastolic pressure. It can therefore be recommended for the clinical measurement of blood pressure and is the first inexpensive device to satisfy the accuracy criteria of these protocols.
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              Autonomic function and prognosis.

              Autonomic nervous system function is assessed in the clinic by measuring resting heart rate, heart rate variability, or heart rate recovery following exercise. Each of these measures is a strong predictor of cardiovascular risk and all-cause mortality in primary and secondary prevention settings. These measures have been used to identify correlates of autonomic nervous system dysfunction at both the patient level (eg, obesity, diabetes, heart failure) and the environmental level (eg, smoking, social stress, air pollution). Future research must determine how to exploit the associations between autonomic system dysfunction and poor prognosis to improve patient outcomes.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                rbefe
                Revista Brasileira de Educação Física e Esporte
                Rev. bras. educ. fís. esporte
                Escola de Educação Física e Esporte da Universidade de São Paulo (São Paulo )
                1981-4690
                December 2013
                : 27
                : 4
                : 531-541
                Affiliations
                [1 ] Universidade Federal do Espírito Santo Brazil
                [2 ] Universidade Federal do Vale do São Francisco Brazil
                Article
                S1807-55092013000400003
                b1c9b213-3614-4663-8a82-e5b4761b948f

                http://creativecommons.org/licenses/by/4.0/

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                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=1807-5509&lng=en
                Categories
                SPORT SCIENCES

                Sports medicine
                Strength training,Aerobic exercise,Parasympathetic nervous system,Sympathetic nervous system,Heart rate variability,Autonomic control of heart,Treinamento de força,Exercício aeróbio,Sistema nervoso simpático,Sistema nervoso parassimpático,Controle autonômico do coração,Variabilidade da frequência cardíaca

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