910 resultados para PHYSICAL-FITNESS
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Pós-graduação em Ciências da Motricidade - IBRC
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[EN] BACKGROUND: To determine if there is an association between physical activity assessed by the short version of the International Physical Activity Questionnaire (IPAQ) and cardiorespiratory and muscular fitness. METHODOLOGY/PRINCIPAL FINDINGS: One hundred and eighty-two young males (age range: 20-55 years) completed the short form of the IPAQ to assess physical activity. Body composition (dual-energy X-Ray absorptiometry), muscular fitness (static and dynamic muscle force and power, vertical jump height, running speed [30 m sprint], anaerobic capacity [300 m running test]) and cardiorespiratory fitness (estimated VO(2)max: 20 m shuttle run test) were also determined in all subjects. Activity-related energy expenditure of moderate and vigorous intensity (EEPA(moderate) and EEPA(vigorous), respectively) was inversely associated with indices of adiposity (r = -0.21 to -0.37, P<0.05). Cardiorespiratory fitness (VO(2)max) was positively associated with LogEEPA(moderate) (r = 0.26, P<0.05) and LogEEPA(vigorous) (r = 0.27). However, no association between VO(2)max with LogEEPA(moderate), LogEPPA(vigorous) and LogEEPA(total) was observed after adjusting for the percentage of body fat. Multiple stepwise regression analysis to predict VO(2)max from LogEEPA(walking), LogEEPA(moderate), LogEEPA(vigorous), LogEEPA(total), age and percentage of body fat (%fat) showed that the %fat alone explained 62% of the variance in VO(2)max and that the age added another 10%, while the other variables did not add predictive value to the model [VO(2)max = 129.6-(25.1x Log %fat) - (34.0x Log age); SEE: 4.3 ml.kg(-1). min(-1); R(2) = 0.72 (P<0.05)]. No positive association between muscular fitness-related variables and physical activity was observed, even after adjusting for body fat or body fat and age. CONCLUSIONS/SIGNIFICANCE: Adiposity and age are the strongest predictors of VO(2)max in healthy men. The energy expended in moderate and vigorous physical activities is inversely associated with adiposity. Muscular fitness does not appear to be associated with physical activity as assessed by the IPAQ.
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The association of measures of physical activity with coronary heart disease (CHD) risk factors in children, especially those for atherosclerosis, is unknown. The purpose of this study was to determine the association of physical activity and cardiovascular fitness with blood lipids and lipoproteins in pre-adolescent and adolescent girls.^ The study population was comprised of 131 girls aged 9 to 16 years who participated in the Children's Nutrition Research Center's Adolescent Study. The dependent variables, blood lipids and lipoproteins, were measured by standard techniques. The independent variables were physical activity measured as the difference between total energy expenditure (TEE) and basal metabolic rate (BMR), and cardiovascular fitness, VO$\rm\sb{2max}$(ml/min/kg). TEE was measured by the doubly-labeled water (DLW) method, and BMR by whole-room calorimetry. Cardiovascular fitness, VO$\rm\sb{2max}$(ml/min/kg), was measured on a motorized treadmill. The potential confounding variables were sexual maturation (Tanner breast stage), ethnic group, body fat percent, and dietary variables. A systematic strategy for data analysis was used to isolate the effects of physical activity and cardiovascular fitness on blood lipids, beginning with assessment of confounding and interaction. Next, from regression models predicting each blood lipid and controlling for covariables, hypotheses were evaluated by the direction and value of the coefficients for physical activity and cardiovascular fitness.^ The main result was that cardiovascular fitness appeared to be more strongly associated with blood lipids than physical activity. An interaction between cardiovascular fitness and sexual maturation indicated that the effect of cardiovascular fitness on most blood lipids was dependent on the stage of sexual maturation.^ A difference of 760 kcal/d physical activity (which represents the difference between the 25th and 75th percentile of physical activity) was associated with negligible differences in blood lipids. In contrast, a difference in 10 ml/min/kg of VO$\rm\sb{2max}$ or cardiovascular fitness (which represents the difference between the 25th and 75th percentile in cardiovascular fitness) in the early stages of sexual maturation was associated with an average positive difference of 15 mg/100 ml ApoA-1 and 10 mg/100 ml HDL-C. ^
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Az elmúlt években Magyarországon is fokozatosan nőtt az érdeklődés az életminőség vizsgálata iránt. A 2004-2006 közötti időszakra készült első Nemzeti Fejlesztési Terv fő célkitűzése a lakosság életminőségének javítása volt, de célját nem érte el, mivel a WHO 2010 májusában közzétett statisztikája szerint a magyarországi életminőség-mutatók az európai rangsor végén találhatók. Elszomorító az Eurobarométer 2010. évi reprezentatív kutatásának eredménye: a népesség 77 százalékának életmódja mozgásszegény, fizikailag inaktív. Kutatásunk során azt a ténylegesen hiánypótló célt kívántuk elérni, hogy meghatározzuk és számszerűsítsük a mozgásszegény életmódból adódó nemzetgazdasági terheket, valamint megbecsüljük a fizikai inaktivitás csökkentésével elérhető megtakarítások számszerűsíthető mértékét. Az Országos Egészségbiztosítási Pénztár (OEP) és egy saját országos kérdőíves kutatás (n = 1158) adataira támaszkodtunk. A fizikai inaktivitás betegségeire vonatkozó megtakarítási lehetőségeket tételesen határoztuk meg, majd megállapítottuk az inaktivitásból származó gazdasági terheket, aminek alapján a döntéshozók elkészíthetik a fizikai inaktivitás csökkentésre alkalmas akcióterveiket. Ezzel nemcsak a lakosság "közérzete" javulhat számottevően, de komolyabb költségeket is meg lehet takarítani közép- és hosszú távon. / === / Interest in examining the quality of life has increased steadily in Hungary in recent years. Improving it was the main objective of the first National Development Plan, for the 2004-6 period, but it failed to do so, for Hungary's indices for quality of life were at the bottom of the European list according to figures published by the WHO in May 2010. The results of the representative research Furobarometer 2010 are saddening: 77 per cent of the population pursue a low-exercise, physically inactive lifestyle. The authors' researches sought to fill a gap by measuring and quantifying the national economic costs of a low-exercise lifestyle and to estimate quantitatively the savings to be made by reducing such physical inactivity. The paper relics on the data of the National Health Insurance Fund and on an authors' questionnaire (n = 1158). The potential savings on illness relating to physical activity are listed one by one. to arrive at the economic costs of such inactivity, based on which it is possible for decision-makers to prepare adequate action plans for reducing physical inactivity. This will improve the "morale" of the public and bring appreciable savings in the medium and long term.
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The so-called toxic triad of factors linked to cancer, namely obesity, poor cardiorespiratory fitness and physical inactivity, increase the risk of cancer and, when cancer is present, worsen its prognosis. Thus, obesity and a sedentary lifestyle have been linked to an elevated cancer risk whereas regular physical exercise and good cardiorespiratory function (CRF) diminish this risk. Despite genetic risk factors, there is evidence to show that some lifestyle modifications are capable of reducing the incidence of cancer and its associated morbidity and mortality. Regular physical exercise targeted at maintaining body weight within healthy limits and improving CRF will reduce a person's cancer risk and, once diagnosed, will also improve its prognosis, reducing mortality and the risk of disease recurrence through similar effects. In this review, we describe how physical activity can be used as a pleiotropic, coadjuvant tool to minimize the toxic triad for cancer and update the mechanisms proposed to date for the effects observed.
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The parallel mutation-selection evolutionary dynamics, in which mutation and replication are independent events, is solved exactly in the case that the Malthusian fitnesses associated to the genomes are described by the random energy model (REM) and by a ferromagnetic version of the REM. The solution method uses the mapping of the evolutionary dynamics into a quantum Ising chain in a transverse field and the Suzuki-Trotter formalism to calculate the transition probabilities between configurations at different times. We find that in the case of the REM landscape the dynamics can exhibit three distinct regimes: pure diffusion or stasis for short times, depending on the fitness of the initial configuration, and a spin-glass regime for large times. The dynamic transition between these dynamical regimes is marked by discontinuities in the mean-fitness as well as in the overlap with the initial reference sequence. The relaxation to equilibrium is described by an inverse time decay. In the ferromagnetic REM, we find in addition to these three regimes, a ferromagnetic regime where the overlap and the mean-fitness are frozen. In this case, the system relaxes to equilibrium in a finite time. The relevance of our results to information processing aspects of evolution is discussed.
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Endothelial dysfunction is an early key event of atherogenesis. Both fitness level and exercise intervention have been shown to positively influence endothelial function. In a cross-sectional study of 47 children, the relationship between habitual physical activity and flow-mediated dilation (FMD) of the brachial artery was explored. Habitual physical activity levels (PALs) were assessed using a validated stable isotope technique, and FMD of the brachial artery was measured via high-resolution ultrasound. The results showed that habitual physical activity significantly correlated with FMD (r=0.39, P=0.007), and remained the most influential variable on dilation in multivariate analysis. Although both fitness level and exercise intervention have previously been shown to positively influence FMD, this is the first time that a relationship with normal PALs has been investigated, especially, at such a young age. These data support the concept that physical activity exerts its protective effect on cardiovascular health via the endothelium and add further emphasis to the importance of physical activity in childhood.
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Participation in physical activities has been found to be an important factor in contributing to a healthy lifestyle. Research has found strong relationships between participation in regular physical activity and the prevention of disease, while its relationship to the psychological and social dimensions have been neglected. Recently however, several studies have found causal relationships between physical activity and improved mood state, reduced anxiety, reduced depression, and increased social support. Despite this, surveys indicate that participation levels in physical activities are declining among older Australians, with the exceptions of walking and gardening. This paper also examines constraints to participation in leisure programs, such as lack of time, poor health, fear of crime, the financial cost and the lack of a partner to participate with. A number of strategies have been suggested to overcome these constraints.
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Background, Regular physical activity in older adults can facilitate healthy aging, improve functional capacity, and prevent disease. However, factors associated with physical inactivity in older populations are poorly understood. This study attempts to identify social-cognitive and perceived environmental influences associated with physical activity participation in older populations. Methods. In a randomly selected sample of 449 Australian adults age 60 and older, we assessed self-reported physical activity and a range of social-cognitive and perceived environmental factors. Respondents were classified as sufficiently active and inactive based on energy expenditure estimates (kcal/week) derived from self-reported physical activity. Two logistic regression models, with and without self-efficacy included, were conducted to identify modifiable independent predictors of physical activity. Results. Significantly more males than females were physically active. Physical activity participation was related to age with a greater proportion of those age 65-69 being active than those age 60-64 or 70 or older. High self-efficacy, regular participation of friends and family, finding footpaths safe for walking, and access to local facilities were significantly associated with being active. Conclusion. Identifying predictors of physical activity in older populations, particularly social support, facility access, and neighbourhood safety, can inform the development of policy and intervention strategies to promote the health of older people. (C) 2000 American Health Foundation and Academic Press.