Equações de predição da aptidão cardiorrespiratória de adultos sem teste de exercícios físicos

Abstract

-The most accurate tool for assessment of cardiorespiratory fitness is cardiopulmonary exercise testing (CPET). However, CPET requires expensive equipment, trained technicians and time, which limits their use in population studies. In view of this issue, the present study aims to develop regression equations for predicting the cardiorespiratory fitness of adults using simple measurement variables. The study used data from 8,293 subjects, 5,291 male and 3,235 female (age range, 18 to 65 years). The sample was recruited in Florianopolis, Santa Catarina. To develop equations for prediction of peak oxygen uptake (VO 2peak ), the data associated were: fitness, age, body mass, height, resting heart rate, hypertension, diabetes, dyslipidemia and smoking. After statistical analyses, two equations for men and two for women were developed. The complete equations showed an adjusted R 2 = 0.531 and a standard error of estimate (SEE) = 7.15 ml -1•kg -1•min for men and R 2 = 0.436 and SEE = 5.68 ml -1•kg -1•min for women. We conclude that the model developed for prediction of cardiorespiratory fitness is feasible and practical for prediction of VO 2peak in epidemiological studies or when CPET cannot be performed.

Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health

“…The association between CRF and dyslipidemia is very well documented [ 44 , 45 , 46 ]. In fact, there are non-exercise models that include dyslipidemia as an independent variable [ 47 ]. In relation to the specific components of dyslipidemia (low HDL-c, high LDL-c, hypertriglyceridemia, and hypercholesterolemia), to the best of our knowledge, this is the first study showing associations between non-exercise CRF and each one of the components of dyslipidemia.…”

Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios

“…Los modelos predictivos que se han planteado para predecir el v O 2 máx. sin la realización de ejercicio físico o test cardiopulmonar, incluyen variables como el peso corporal, estatura 12-14 y edad [12][13][14][15][16] . También se ha incluido el porcentaje de grasa 15,17 , la AF [15][16][17] , AF de tiempo libre 17 y el IMC 15,16,18 .…”

“…Respecto a variables demográficas de las personas que han sido evaluadas para elaborar los modelos predictivos, según Neto et al 11 de las 1.400 personas. Sobre el tipo de población, algunos estudios de la última década han investigado en personas con patologías 17 , en estudiantes 18 y en personas de diversas características en base a datos provenientes de centros de salud 12 . La investigación que hemos realizado va en una línea similar en los aspectos demográficos descritos, en una muestra de la población específica como son los estudiantes universitarios, y aporta variables de predicción que son un aspecto metodológico novedoso (FC y presión arterial).…”

Vo2 máximo obtido com e sem teste ergométrico

“…21 . Logo, precisa-se melhorar a precisão destes métodos, ampliando sua capacidade de generalização a diferentes grupos populacionais 3,8 , considerando-se, no caso do Brasil, as diferenças regionais 7,9 .…”

“…No extremo oposto, dispensando-se o TEM, encontram-se outros métodos de estimativa do VO 2 máx. De forma Simplificada, estes, facilitam a coleta de dados e geram condições extremamente favoráveis a aplicabilidade cotidiana [7][8][9] .…”