ObjectivesTo (1) determine if wearing a cloth face mask significantly affected exercise performance and associated physiological responses, and (2) describe perceptual measures of effort and participants’ experiences while wearing a face mask during a maximal treadmill test.MethodsRandomised controlled trial of healthy adults aged 18–29 years. Participants completed two (with and without a cloth face mask) maximal cardiopulmonary exercise tests (CPETs) on a treadmill following the Bruce protocol. Blood pressure, heart rate, oxygen saturation, exertion and shortness of breath were measured. Descriptive data and physical activity history were collected pretrial; perceptions of wearing face masks and experiential data were gathered immediately following the masked trial.ResultsThe final sample included 31 adults (age=23.2±3.1 years; 14 women/17 men). Data indicated that wearing a cloth face mask led to a significant reduction in exercise time (−01:39±01:19 min/sec, p<0.001), maximal oxygen consumption (VO2max) (−818±552 mL/min, p<0.001), minute ventilation (−45.2±20.3 L/min), maximal heart rate (−8.4±17.0 beats per minute, p<0.01) and increased dyspnoea (1.7±2.9, p<0.001). Our data also suggest that differences in SpO2 and rating of perceived exertion existed between the different stages of the CPET as participant’s exercise intensity increased. No significant differences were found between conditions after the 7-minute recovery period.ConclusionCloth face masks led to a 14% reduction in exercise time and 29% decrease in VO2max, attributed to perceived discomfort associated with mask-wearing. Compared with no mask, participants reported feeling increasingly short of breath and claustrophobic at higher exercise intensities while wearing a cloth face mask. Coaches, trainers and athletes should consider modifying the frequency, intensity, time and type of exercise when wearing a cloth face mask.

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Objectives: To determine the feasibility of mobile health (mHealth) apps for enhancing participation of people with chronic traumatic brain injury (TBI) in the Group Lifestyle Balance (GLB-TBI) weight loss intervention and Brain Health Group (BHG-TBI) active control intervention. Setting: Community. Participants: n = 56 overweight/obese adults with moderate-severe TBI. Design: The GLB-TBI is a 12-month group- and community-based program to promote healthy eating and physical activity. The BHG-TBI is a 12-month group- and community-based program to promote general brain health, designed as an active control condition matched on time, structure, and perceived benefit to the GLB-TBI. In a randomized controlled trial testing the efficacy of the GLB-TBI for weight loss, participants used a group-specific mHealth app providing daily tips customized according to their intervention allocation. Main Measures: Compliance (percentage of daily prompts read and completed) and participant-reported satisfaction and usability. Results: In conjunction with relevant stakeholders, we developed the content and structure of the GLB-TBI and BHG-TBI apps based on core curriculum components. We incorporated cognitive strategies (app notifications) to address potential cognitive impairment common after TBI. Both apps delivered brief daily educational and motivational “tips” derived directly from their respective curricula. Daily use of the apps varied greatly across participants, with most participants who used the apps completing 10% to 50% of daily content. Participants found the apps to be easy to use, but only some found them helpful. App use was substantially different for those who participated in the intervention during (2020) versus before (2019) the COVID-19 pandemic. Conclusions: Although enhancing an intensive lifestyle intervention with mHealth technology may be helpful, further refinement is needed to optimize the frequency and delivery methods of mHealth content. Although one might expect remote app use to have been higher during the pandemic, we observed the opposite, potentially due to less hands-on training and ongoing support to use the app and/or general technology fatigue with social distancing.