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1.
Braz. j. med. biol. res ; 47(8): 626-636, 08/2014. tab, graf
Article in English | LILACS | ID: lil-716272

ABSTRACT

Due to differences in study populations and protocols, the hemodynamic determinants of post-aerobic exercise hypotension (PAEH) are controversial. This review analyzed the factors that might influence PAEH hemodynamic determinants, through a search on PubMed using the following key words: “postexercise” or “post-exercise” combined with “hypotension”, “blood pressure”, “cardiac output”, and “peripheral vascular resistance”, and “aerobic exercise” combined only with “blood pressure”. Forty-seven studies were selected, and the following characteristics were analyzed: age, gender, training status, body mass index status, blood pressure status, exercise intensity, duration and mode (continuous or interval), time of day, and recovery position. Data analysis showed that 1) most postexercise hypotension cases are due to a reduction in systemic vascular resistance; 2) age, body mass index, and blood pressure status influence postexercise hemodynamics, favoring cardiac output decrease in elderly, overweight, and hypertensive subjects; 3) gender and training status do not have an isolated influence; 4) exercise duration, intensity, and mode also do not affect postexercise hemodynamics; 5) time of day might have an influence, but more data are needed; and 6) recovery in the supine position facilitates systemic vascular resistance decrease. In conclusion, many factors may influence postexercise hypotension hemodynamics, and future studies should directly address these specific influences because different combinations may explain the observed variability in postexercise hemodynamic studies.


Subject(s)
Humans , Exercise Movement Techniques/adverse effects , Exercise/physiology , Hemodynamics/physiology , Post-Exercise Hypotension/etiology , Age Factors , Body Mass Index , Blood Pressure/physiology , Cardiac Output/physiology , Post-Exercise Hypotension/physiopathology , Sedentary Behavior , Sex Factors , Task Performance and Analysis , Time Factors , Vascular Resistance/physiology
2.
Braz. j. med. biol. res ; 44(9): 864-870, Sept. 2011. ilus, tab
Article in English | LILACS | ID: lil-599664

ABSTRACT

Resistance training increases muscle strength in older adults, decreasing the effort necessary for executing physical tasks, and reducing cardiovascular load during exercise. This hypothesis has been confirmed during strength-based activities, but not during aerobic-based activities. This study determined whether different resistance training regimens, strength training (ST, constant movement velocity) or power training (PT, concentric phase performed as fast as possible) can blunt the increase in cardiovascular load during an aerobic stimulus. Older adults (63.9 ± 0.7 years) were randomly allocated to: control (N = 11), ST (N = 13, twice a week, 70-90 percent 1-RM) and PT (N = 15, twice a week, 30-50 percent 1-RM) groups. Before and after 16 weeks, oxygen uptake (VO2), systolic blood pressure (SBP), heart rate (HR), and rate pressure product (RPP) were measured during a maximal treadmill test. Resting SBP and RPP were similarly reduced in all groups (combined data = -5.7 ± 1.2 and -5.0 ± 1.7 percent, respectively, P < 0.05). Maximal SBP, HR and RPP did not change. The increase in measured VO2, HR and RPP for the increment in estimated VO2 (absolute load) decreased similarly in all groups (combined data = -9.1 ± 2.6, -14.1 ± 3.9, -14.2 ± 3.0 percent, respectively, P < 0.05), while the increments in the cardiovascular variables for the increase in measured VO2 did not change. In elderly subjects, ST and PT did not blunt submaximal or maximal HR, SBP and RPP increases during the maximal exercise test, showing that they did not reduce cardiovascular stress during aerobic tasks.


Subject(s)
Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Cardiovascular Physiological Phenomena , Exercise/physiology , Muscle Strength/physiology , Analysis of Variance , Blood Pressure/physiology , Exercise Test , Heart Rate/physiology , Linear Models , Oxygen Consumption/physiology , Resistance Training , Statistics, Nonparametric
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