Connie L. Tompkins, Timothy Flanagan, John Lavoie II and David W. Brock
Compared with structured/organized activities, unstructured, self-selected physical activity (PA) may be more appealing for children in particular obese (OB) children. We examined whether both healthy-weight (HW) and OB children would engage in moderate to vigorous intensity PA during an unstructured PA program and compared heart rate (HR) and rate of perceived exertion (RPE) between the children.
Twenty-one children [9 OB (≥95th BMI percentile, 12 HW (5th – <85th), 8.6 ± 0.8 years; 9 males, 12 females] participated in before-school (7:30 AM to 8:15 AM) PA for 18 weeks, 3 consecutive days/week. Each child wore a Polar E600 HR monitor and was provided a vigorous, age-targeted heart rate (THR) of 70%.
Mean HR ≥ vigorous THR for all children in 65.3% of the sessions and exceeded moderate intensity in 100%. Over the 18-weeks, no significant difference was observed in the overall mean HR between the HW (171.4 ± 12.0) and OB (169.3 ± 13.0), however the OB reported significantly lower RPEs than the HW (16.9 ± 2.6 vs. 17.6 ± 1.5, respectively; P < .05).
Both the HW and OB children consistently sustained PA of moderate and vigorous intensity. The current study provides insight regarding the physiological capabilities and perceptual responses of HW and OB children participating in PA programs.
David W. Brock, Olivia Thomas, Charles D. Cowan, David B. Allison, Glenn A. Gaesser and Gary R. Hunter
Numerous public health organizations have adopted national physical activity recommendations. Despite these recommendations, over half of the US population does not meet the minimum recommendation for physical activity, with large variations across individual US states.
Using the 2005 Behavioral Risk Factor Surveillance System (BRFSS) prevalence data for physical activity and obesity by state, we performed a weighted least squares regression using prevalence of obesity (BMI ≥ 30 kg/m2) as the dependent variable and insufficiently physically active (included completely sedentary), age, race, gender, and median household income as the independent variables.
The unadjusted weighted least squares regression revealed a strong correlation between a state’s prevalence of obesity and the prevalence of insufficiently physically active (R = .76, R
2 = .58, P < .0001). After adjusting for age, gender, race, and median household income, the prevalence of insufficiently physically active is still a significant predictor of the state prevalence of obesity (partial R = .44, R
2 = .19 P = .004).
Macroenvironmental and sociopolitical disparities between individual US states that transcend simple state-level demographic factors need to be examined more rigorously to identify unique barriers and promoters of physical activity.