Hypothesis: Physically active occupations may protect against the risk of abdominal obesity. Objectives: This study assessed the interaction between non-occupational physical activity (NOA) (leisure-time, transport and domestic activity) and occupational activity (OA) in relation to abdominal obesity. Methods: A total of 3539 adults over the age of 20, with no work limitations, employed in one of the 17 occupations classified as low OA (LOA) or high OA (HOA) were identified in the 1999–2004 National Health and Nutrition Examination Survey. Waist circumference (WC) was used to categorize individuals into either non-obese or abdominally obese (WC>88 cm in women and >102 cm in men) categories. NOA was divided into three categories based upon physical activity guidelines: (1) no NOA; (2) insufficient NOA; and (3) sufficient NOA. Logistic regression was used to examine possible associations between NOA, OA and abdominal obesity. Results: In those who are sedentary outside of work, a high-activity occupation reduces the odds risk ratio of being categorized with abdominal obesity to 0.37 in comparison with those who work in low-activity occupations. For people working in low-activity occupations, there was a clear association with activity outside of work and the odds risk ratio of being categorized with abdominal obesity. In these adults, a reduced odds ratio was found only among those who met the physical activity guidelines through NOA (odds ratio=0.55; 95% confidence interval (CI)=0.40–0.75). Conclusion: HOA is associated with a reduced risk of abdominal obesity. Thus, it is important to include OA in studies seeking to understand the association between physical activity and abdominal adiposity.

Previous research suggests that reducing sedentary screen behaviors may be a strategy for preventing and treating obesity in children. This systematic review describes strategies used in interventions designed to either solely target sedentary screen behaviors or multiple health behaviors, including sedentary screen behaviors. Eighteen studies were included in this paper; eight targeting sedentary screen behaviors only, and ten targeting multiple health behaviors. All studies used behavior modification strategies for reducing sedentary screen behaviors in children (aged 1–12 years). Nine studies only used behavior modification strategies, and nine studies supplemented behavior modification strategies with an electronic device to enhance sedentary screen behaviors reductions. Many interventions (50%) significantly reduced sedentary screen behaviors; however the magnitude of the significant reductions varied greatly (−0.44 to −3.1 h/day) and may have been influenced by the primary focus of the intervention, number of behavior modification strategies used, and other tools used to limit sedentary screen behaviors.

Ify the amount of activity (number of steps and minutes) performed during 1 h of TV commercial stepping. Methods In part 1, 23 adults (27.8 ± 7.0 yr) had their energy expenditure measured at rest, sitting, standing, stepping in place, and walking at 3.0 mph on the treadmill. The second part of this study involved 1 h of sedentary TV viewing and 1 h of TV commercial stepping. Actual steps were counted with a hand tally counter. Results There were no differences (P = 0.76) between the caloric requirements of reclining rest (79 ± 16 kcal·h−1) and sedentary TV viewing (81 ± 19 kcal·h−1). However, stepping in place (258 ± 76 kcal·h−1), walking at 3.0 mph on the treadmill (304 ± 71 kcal·h−1), and 1 h of TV commercial stepping (148 ± 40 kcal·h−1) had a higher caloric requirement than either reclining rest or sedentary TV viewing (P < 0.001). One hour of TV commercial stepping resulted in an average of 25.2 ± 2.6 min of physical activity and 2111 ± 253 steps. Conclusions Stepping in place during commercials can increase the energy cost and amount of activity performed during TV viewing....

Background:Thirty-five percent of the activities assigned MET values in the Compendium of Energy Expenditures for Youth were obtained from direct measurement of energy expenditure (EE). The aim of this study was to provide directly measured EE for several different activities in youth.Methods:Resting metabolic rate (RMR) of 178 youths (80 females, 98 males) was first measured. Participants then performed structured activity bouts while wearing a portable metabolic system to directly measure EE. Steady-state oxygen consumption data were used to compute activity METstandard (activity VO2/3.5) and METmeasured (activity VO2/measured RMR) for the different activities.Results:Rates of EE were measured for 70 different activities and ranged from 1.9 to 12.0 METstandard and 1.5 to 10.0 METmeasured.Conclusion:This study provides directly measured energy cost values for 70 activities in children and adolescents. It contributes empirical data to support the expansion of the Compendium of Energy Expenditures for Youth.

Objective: The purpose of this study was to (1) quantify the oxygen consumption (VO₂) and heart rate (HR) of virtual reality (VR) exergaming in youth, (2) compare the physical activity intensity of VR gaming to moderate-intensity thresholds, and (3) quantify the game experience and cybersickness of VR gaming, compared with traditional gaming. Material and Methods: Youth (N = 28; age, 9.4 ± 1.2 years) completed 10-minute conditions: seated rest, seated videogame Katamari Forever (SVG-KF), treadmill walking (TW) (5.6 km/h, 0% grade), and VR exergames Beat Saber (BS) and Thrill of the Fight (TOF) while VO₂ and HR were collected. Game experience and Child Simulator Sickness Questionnaires were collected after gameplay. Results: VO₂ and HR for BS (9.1 ± 3.0 mL/kg/min and 119 ± 15 bpm), TW (17.1 ± 2.4 mL/kg/min and 135 ± 15 bpm), and TOF (16.9 ± 5.4 mL/kg/min and 145 ± 19 bpm) were significantly higher than that at rest (4.2 ± 1.5 mL/kg/min and 94 ± 12 bpm) and for SVG-KF (4.3 ± 1.3 mL/kg/min and 94 ± 12 bpm). BS was light-to-moderate, whereas TW and TOF were of moderate intensity based on HR and metabolic equivalents (METs). For game experience, SVG-KF (1.6 ± 1.6) was less challenging than BS (3.3 ± 1.0) and TOF (3.1 ± 1.1). BS was more visually satisfying (3.5 ± 0.7 vs 2.7 ± 0.9) and required more concentration than SVG-KF (3.6 ± 0.7 vs 3.1 ± 1.1). TOF (3.4 ± 0.8) was more fun than SVG-KF (2.8 ± 0.7). Two youths (7%) experienced cybersickness symptoms, but neither requested to stop play. Oculomotor symptoms (0.6 ± 0.9), although minimal, were significantly greater than nausea (0.2 ± 0.5) and disorientation (0.3 ± 0.6) in both games. Conclusions: VR exergames provided light- to moderate-intensity exercise, challenge, visual stimulation, attention, and fun with minimal cybersickness symptoms, compared with conventional gameplay in youth.