According to a recent report from the World Health Organization, it can be estimated that worldwide about 250 million adults — 7 percent of the population — are obese, defined as having a body-mass index (the weight in kilograms divided by the square of the height in meters) of 30.0 or more, and that at least 500 million adults are overweight, defined as having a body-mass index of 25.0 to 29.9. More than 50 percent of adults in the United States, Canada, and some other countries have a body-mass index of at least 25.0. During the past 150 years, the . . .
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0063 The intensity guidelines for prescribing aerobic exercise were recently revised by ACSM to use %VO2reserve (%VO2R) rather than %VO2max. PURPOSE: The current study investigated the relationship of %VO2max and %VO2R with %Heart Rate Reserve (%HRR) in 630 initially sedentary individuals (ages 17 to 65). METHODS: Each participant completed 2 graded cycle tests to exhaustion before and after 20 weeks of training. VO2 and HR data were collected at the end of each stage. Resting HR and estimated resting VO2 (3.5 ml•kg−1•min−1) were additionally used to determine linear regressions of %HRR vs. %VO2max and %HRR vs. %VO2R. Slope and intercept were determined pre- and post-training for the total cohort and for subjects grouped by gender, race, age and baseline fitness (VO2max). RESULTS: Overall, and in all sub-groups, both pre- and post-training, the slope and intercepts were significantly different from 1.0 and 0, respectively for both %HRR vs. %VO2max and %HRR vs. %VO2R. However, the slopes and intercepts for %HRR vs. %VO2max were closer to the line of unity than were the slopes and intercepts of %HRR vs. %VO2R (p< 0.01 to 0.0001). More importantly, the calculated HR values for %HRR vs. %VO2max were closer (p<0.001) at 50% (+0.4±2.2 bpm) and 85% (+3.8 ± 3.2) than the values for %HRR vs. % VO2R at 50% (+8.2 ± 2.6 bpm) and 85% (+6.6 ± 3.4 bpm). Posttraining data differences were similar, though of smaller magnitude, with HR values at 50 and 85% VO2max more similar (p<0.01) to %HRR than were %VO2R HR values to %HRR. CONCLUSION: These results differ from those of Swain et al. who studied young adults during treadmill (n = 50) and cycle (n = 57) testing. Since %VO2R is a more difficult calculation than %VO2max and is less understood and since the differences in HR values within the normal aerobic training range were significantly closer using %VO2max, %VO2max is the better measure for prescribing exercise intensity. Supported by multiple grants from NIH/NHLBI.
No abstract is provided for this article.
No abstract is provided for this article.
The increasing prevalence of obesity worldwide has prompted the World Health Organization (WHO) to classify it as a global epidemic. Around the globe, more than a half billion people are overweight, and the chronic disease of obesity represents a major threat to health care systems in developed and developing countries. The major health hazards associated with obesity are the risks of developing diabetes, cardiovascular disease, stroke, osteoarthritis and some forms of cancer. In this paper, we review the prevalence of obesity and its cost to health care systems and present the relative contribution of environmental conditions and genetic makeup to the development of obesity in people. We also discuss the concept of “essential” obesity in an “obesigenic” environment. Though weight gain results from a sustained imbalance between energy intake and energy expenditure, it is only recently that studies have identified important new mechanisms involved in the regulation of body weight. The etiology of the disease is presented as a feedback model in which afferent signals inform the central controllers in the brain as to the state of the external and internal environment and elicit responses related to the regulation of food intake and energy metabolism. Pharmaceutical agents may intervene at different levels of this feedback model, i.e., reinforce the afferent signals from the periphery, target the central pathways involved in the regulation of food intake and energy expenditure, and increase peripheral energy expenditure and fat oxidation directly. Since obesity results from genetic predisposition, combined with the proactive environmental situation, we discuss new potential targets for generation of drugs that may assist people in gaining control over appetite as well as increasing total energy expenditure and fat oxidation.