![]() 12, 13 Both the National Children and Youth Fitness Study and the various President's Council on Physical Fitness and Sports surveys used field measures of physical fitness. 10, 11 Also, in the 1980s, the National Children and Youth Fitness Study was conducted under the auspices of the US Department of Health and Human Services. 10 During each of those 4 decades, the President's Council on Physical Fitness and Sports sponsored national surveys of youth physical fitness. 8, 9īetween the 1950s and the 1980s, surveys of physical fitness were conducted regularly in the US population of children and adolescents. Attainment of fitness standards is a common prerequisite for entry into occupations such as law enforcement, firefighting, the military, and many other jobs that involve physically demanding labor. 7 Also, higher levels of fitness support participation in sports and other physically demanding leisure activities. In children and adolescents, cardiorespiratory fitness is inversely associated with physiologic risk factors for chronic disease including high blood pressure, 1 hyperinsulinemia, 2 fat mass, 3 atherogenic lipid profile, 4 insulin resistance, 5 hemostatic and inflammatory markers, 6 and clustering of metabolic risk factors. Youth who have low levels of physical activity and high levels of sedentary behavior are also more likely to have lower cardiorespiratory fitness. Approximately one third of both males and females failed to meet recommended standards for cardiorespiratory fitness.Ĭonclusions In US youth, cardiorespiratory fitness is lower in males and females who are overweight than in those of normal weight, but fitness is not related to race/ethnicity. For both males and females, those in the normal weight group had higher fitness levels than those in the at risk for overweight and overweight groups. Among males, older participants had higher V̇O 2max values, while in females, younger participants had higher values. min −1) was higher in males (mean ± SE, 46.4 ± 0.4) than in females (mean ± SE, 38.7 ± 0.3) but did not differ across race/ethnicity groups.Main Outcome Measure Estimated maximal oxygen uptake (V̇O 2max) determined by a submaximal treadmill exercise test. ![]() Main Exposures Age, sex, race/ethnicity, weight status, self-reported physical activity, and television viewing. The National Center for Health Statistics conducted the survey. Participants A representative sample of 4732 youth aged 12 to 19 years was examined 3287 completed the treadmill test and were included in the analysis. Setting The National Health and Nutrition Examination Survey's mobile examination center, throughout the United States from 1999-2002. Objectives To assess cardiorespiratory fitness levels in youth aged 12 to 19 years and to examine associations between fitness and age, sex, race/ethnicity, and self-reported physical activity in this age group. Shared Decision Making and Communication.Scientific Discovery and the Future of Medicine.Health Care Economics, Insurance, Payment.Clinical Implications of Basic Neuroscience.Challenges in Clinical Electrocardiography.This study suggests that CRF may be accurately estimated in adults from a non-exercise test model including gender, age, body mass index, resting heart rate, and self-reported physical activity. The highest cross-validation coefficients were seen when the NASA regression model was applied to the ACLS and ADNFS cohorts (R = 0.76 and R = 0.75, respectively). ![]() All regression models demonstrated a high level of cross-validity (0.72 < R < 0.80). The standard error of estimate (SEE) was 1.45, 1.50, and 1.97 metabolic equivalents (METs) (1 MET = 3.5 ml O(2) uptake.kilograms of body mass(-1).minutes(-1)), respectively, for the NASA, ACLS, and ADNFS regression models. The multiple correlation coefficients obtained within NASA, ACLS, and ADNFS participants, respectively, were 0.81, 0.77, and 0.76. Other variables included gender, age, body mass index, resting heart rate, and self-reported physical activity levels.Īll variables used in the multiple linear regression models were independently related to the CRF in each of the study cohorts. Participants were men and women aged 20 to 70 years whose CRF level was quantified with a maximal or submaximal exercise test as part of the National Aeronautics and Space Administration/Johnson Space Center (NASA, n = 1863), Aerobics Center Longitudinal Study (ACLS, n = 46,190), or Allied Dunbar National Fitness Survey (ADNFS, n = 1706). The purpose of this study is to extend previous work on a non-exercise test model to predict CRF from health indicators that are easily obtained. Low cardiorespiratory fitness (CRF) is associated with increased risk of chronic diseases and mortality however, CRF assessment is usually not performed in many healthcare settings. ![]()
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