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Item Active Gaming and Energy Expenditure in Healthy Adults(Office of the Vice Chancellor for Research, 2016-04-08) Carey, Christopher; Naugle, Keith; Ohlman, Tom; Mikesky, Alan; Naugle, KellyThe rise in sedentary behavior in US society, along with the associated health risks, makes it necessary to find effective solutions to increase physical activity at all levels. Studies on active gaming have shown promising results in the use of active gaming as a viable exercise tool that combines physical activity with entertainment. However, the research is still mixed on whether active games can elicit similar responses as traditional cardiovascular exercise, such as jogging on a treadmill. This study examined whether participants playing active games could reach a moderate intensity level as defined by the American College of Sports Medicine as 3.0 METs while playing with and without specific instructions designed to maximize physical activity. Twenty young adult participants completed one training session and four experimental sessions. During each session, participants played two 15-minute periods of either Kinect tennis, Kinect boxing, Wii tennis, and Wii boxing. In period one, participants played at a self-selected intensity. During period two, participants were given specific instructions on how to play which were designed to maximize movement during play and down time. During game play, participants wore a portable gas (VO2/VCO2) analyzer to measure energy expenditure. Metabolic equivalents (METS) were analyzed with a repeated measures ANOVA. During period 1, Kinect boxing was able to elicit the highest METs, 3.097±0.3, from the participants. METS during period 2 was significantly greater than during period 1 across all games (p<.001). Participants were able to reach higher than 3.0 METs while playing each of the games during period 2. Regardless of the period, Kinect boxing elicited greater METS than Wii boxing and Wii Tennis (P<.001). This shows evidence that active gaming not only can elicit a moderate intensity level of physical activity, but that specialized instructions can enhance the effects of the active games.Item Effect of Depression Treatment on Health Behaviors and Cardiovascular Risk Factors Among Primary Care Patients with Depression: Data from the eIMPACT Trial(2023-12) Schuiling, Matthew D.; Stewart, Jesse; Hirsh, Adam; Wu, WeiBackground. Although depression is a risk factor for cardiovascular disease (CVD), few clinical trials in people without CVD have examined the effect of depression treatment on CVD-related outcomes. It’s unknown if successful depression treatment improves indicators of CVD risk, such as CVD-relevant health behaviors, traditional CVD risk factors, and CVD events. Methods. We examined data from eIMPACT trial, a phase II randomized controlled trial conducted from 2015-2020. Depressive symptoms, CVD-relevant health behaviors (self-reported CVD prevention medication adherence, sedentary behavior, and sleep quality) and traditional CVD risk factors (blood pressure and lipid fractions) were assessed. Incident CVD events over four years were identified using a statewide health information exchange. Results. The intervention group exhibited greater improvement in depressive symptoms (p < 0.01) and sleep quality (p < 0.01) than the usual care group, but there was no intervention effect on systolic blood pressure (p = 0.36), low-density lipoprotein cholesterol (p = 0.38), high-density lipoprotein cholesterol (p = 0.79), triglycerides (p = 0.76), CVD prevention medication adherence (p = 0.64), or sedentary behavior (p = 0.57). There was an intervention effect on diastolic blood pressure that favored the usual care group (p = 0.02). CVD-relevant health behaviors did not mediate any intervention effects on traditional CVD risk factors. Twenty-two participants (10%) experienced an incident CVD event. The likelihood of an CVD event did not differ between the intervention group (12.1%) and the usual care group (8.3%; HR = 1.45, 95% CI: 0.62-3.40, p = 0.39). Conclusions. Successful depression treatment alone improves self-reported sleep quality but is not sufficient to lower CVD risk of people with depression. Alternative approaches may be needed reduce CVD risk in depression. Trial Registration: ClinicalTrials.gov Identifier: NCT02458690