Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide SA 5000, Australia
Prof. James Dollman
Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide SA 5000, Australia
It is not clear whether the global increase in weight problems in children is the result of excessive energy intake or decreasing energy expenditure. Methodological limitations have made it difficult to analyse. There is evidence that at least part of the problem may lie with increasing energy consumption, but it is important to examine the other side of the energy equation also. However, it is not possible to conclusively describe physical activity trends because of the absence of suitable baseline data. One solution is to summate all available evidence in as many areas of daily activities as possible and then draw tentative conclusions. This review summarises available trend data on direct representations of physical activity in a range of contexts, together with indirect measures such as sedentariness, fitness, and attitudes. The conclusions drawn are: physical activity in clearly defined contexts such as active transport, school physical education, and organised sports is declining in many countries; young people would like to be active but are often constrained by external factors such as school policy or curricula, parental rules in relation to safety and convenience, and physical environmental factors.
Ools Health and Fitness Survey. Participants were cross-tabulated into four groups using percent body fat and estimated maximal oxygen consumption (V˙O2max) to split the groups. CVD risk factors included blood pressure, triglycerides (TG), fasting total cholesterol (CHOL), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and TC:HDL-C. Results: In males, significant differences across groups were observed for blood pressure, TG, HDL-C, LDL-C, and TC:HDL-C (P < 0.05). In females, significant group differences were observed for blood pressure and HDL-C (P < 0.05). In females, a significant difference was also evident between those in the high-fat/high-fitness group compared with the high-fat/low-fitness group for all blood pressure measures. A general trend of lower blood pressure values for both males and females in the low-fat group compared with the high-fat group was also observed. This same trend was found for males in the blood lipids. There was a linear relationship across groups for the CVD risk score for both genders. There were also significant differences between the low- and high-fat subgroups within a fitness group for both genders. Conclusion: The results provide evidence for the consideration of both fatness and fitness when interpreting CVD risk factors in youth, particularly among high-fat youth....