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Cheryl A. Howe, Marcus W. Barr, Brett C. Winner, Jenelynn R. Kimble and Jason B. White


Although promoted for weight loss, especially in young adults, it has yet to be determined if the physical activity energy expenditure (PAEE) and intensity of the newest active video games (AVGs) qualifies as moderate-to-vigorous physical activity (MVPA; > 3.0 METs). This study compared the PAEE and intensity of AVGs to traditional seated video games (SVGs).


Fifty-three young adults (18−35 y; 27 females) volunteered to play 6 video games (4 AVGs, 2 SVGs). Anthropometrics and resting metabolism were measured before testing. While playing the games (6−10 min) in random order against a playmate, the participants wore a portable metabolic analyzer for measuring PAEE (kcal/min) and intensity (METs). A repeated-measures ANOVA compared the PAEE and intensity across games with sex, BMI, and PA status as main effects.


The intensity of AVGs (6.1 ± 0.2 METs) was significantly greater than SVGs (1.8 ± 0.1 METs). AVGs elicited greater PAEE than SVGs in all participants (5.3 ± 0.2 vs 0.8 ± 0.0 kcal/min); PAEE during the AVGs was greater in males and overweight participants compared with females and healthy weight participants (p’s < .05).


The newest AVGs do qualify as MVPA and can contribute to the recommended dose of MVPA for weight management in young adults.

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Justin J. Merrigan, James J. Tufano, Jonathan M. Oliver, Jason B. White, Jennifer B. Fields and Margaret T. Jones

Purpose: To examine rest redistribution (RR) effects on back squat kinetics and kinematics in resistance-trained women. Methods: Twelve women from strength and college sports (5.0 [2.2] y training history) participated in the randomized crossover design study with 72 hours between sessions (3 total). Participants completed 4 sets of 10 repetitions using traditional sets (120-s interset rest) and RR (30-s intraset rest in the middle of each set; 90-s interset rest) with 70% of their 1-repetition maximum. Kinetics and kinematics were sampled via force plate and 4 linear position transducers. The greatest value of repetitions 1 to 3 (peak repetition) was used to calculate percentage loss, [(repetition 10–peak repetition)/(peak repetition) × 100], and maintenance, {100–[(set mean–peak repetition)/(peak repetition)] × 100}, of velocity and power for each set. Repeated-measures analysis of variance was used for analyses (P < .05). Results: Mean and peak force did not differ between conditions. A condition × repetition interaction existed for peak power (P = .049) but not for peak velocity (P = .110). Peak power was greater in repetitions 7 to 9 (P < .05; d = 1.12–1.27) during RR. The percentage loss of velocity (95% confidence interval, –0.22% to –7.22%; P = .039) and power (95% confidence interval, –1.53% to –7.87%; P = .008) were reduced in RR. Mean velocity maintenance of sets 3 (P = .036; d = 1.90) and 4 (P = .015; d = 2.30) and mean power maintenance of set 4 (P = .006; d = 2.65) were greater in RR. Conclusion: By redistributing a portion of long interset rest into the middle of a set, velocity and power were better maintained. Therefore, redistributing rest may be beneficial for reducing fatigue in resistance-trained women.