Using mixed-method feasibility studies to examine the impact of a mobile standing desk on undergraduates' sedentary time.

OBJECTIVES: To understand experiences with and measure the effect of mobile standing desks (MSD) on undergraduates' sedentary time (ST). PARTICIPANTS: Two samples of full-time undergraduates in Fall 2018. METHODS: Study 1 (n = 21): baseline average daily ST was measured via activPAL4TM inclinometers and the NIGHTLY-WEEK-U questionnaire for 7 days. Participants received a MSD for one week then intervention ST was calculated. Study 2 (n = 28): baseline ST was measured with an online NIGHTLY-WEEK-U questionnaire, participants received a MSD for one month, then intervention ST was calculated. Paired-sample t-tests assessed differences. Interviews/online questions explored experiences. RESULTS: Study 1: objectively measured (p = .0045, d = .71) and self-report (p = .0005, d = .92) ST reduced significantly post-intervention. Study 2: ST reduced significantly post-intervention (p = < .0001, d = .98). Facilitators and barriers to desk usage were described. CONCLUSIONS: MSD were effective for reducing undergraduates' ST across one-week and one-month.

Are COVID-19 models blind to the social determinants of health? A systematic review protocol.

INTRODUCTION: Infectious disease models are important tools to inform public health policy decisions. These models are primarily based on an average population approach and often ignore the role of social determinants in predicting the course of a pandemic and the impact of policy interventions. Ignoring social determinants in models may cause or exacerbate inequalities. This limitation has not been previously explored in the context of the current pandemic, where COVID-19 has been found to disproportionately affect marginalised racial, ethnic and socioeconomic groups. Therefore, our primary goal is to identify the extent to which COVID-19 models incorporate the social determinants of health in predicting outcomes of the pandemic. METHODS AND ANALYSIS: We will search MEDLINE, EMBASE, Cochrane Library and Web of Science databases from December 2019 to August 2020. We will assess all infectious disease modelling studies for inclusion of social factors that meet the following criteria: (a) focused on human spread of SARS-CoV-2; (b) modelling studies; (c) interventional or non-interventional studies; and (d) focused on one of the following outcomes: COVID-19-related outcomes (eg, cases, deaths), non-COVID-19-related outcomes (ie, impacts of the pandemic or control policies on other health conditions or health services), or impact of the pandemic or control policies on economic outcomes. Data will only be extracted from models incorporating social factors. We will report the percentage of models that considered social factors, indicate which social factors were considered, and describe how social factors were incorporated into the conceptualisation and implementation of the infectious disease models. The extracted data will also be used to create a narrative synthesis of the results. ETHICS AND DISSEMINATION: Ethics approval is not required as only secondary data will be collected. The results of this systematic review will be disseminated through peer-reviewed publication and conference proceedings. PROSPERO REGISTRATION NUMBER: CRD42020207706.

Sedentary time among undergraduate students: A systematic review.

OBJECTIVE: To systematically review and synthesize all relevant literature to assess the range of average daily sedentary time (ST) of undergraduate students enrolled in university and college programs across the world. Methods: Published, peer-reviewed articles were included if they: (a) were in English; (b) had a study population that consisted entirely of undergraduate students; (c) reported a daily or weekly ST for undergraduate students; and (d) included a measure of ST using a valid sedentary behavior questionnaire or accelerometers. Results: Twenty-three studies were included in the review. A wide range of ST (0.75 to 14.35 hours per day) was reported. Mean ST as measured by domain-specific questionnaires and accelerometers was 11.10 hours per day and 10.69 hours per day, respectively. Conclusion: Findings suggest that some undergraduate students participate in high levels of ST. Additional research, as well as interventions focused on reducing ST among postsecondary students, are needed.

Feasibility of DriveFocus™ and Driving Simulation Interventions in Young Drivers.

Motor vehicle collisions are the leading cause of death among North American youth, with a high prevalence of distraction-related fatalities. Youth-focused interventions must address detecting (visual scanning) and responding (adjustment to stimuli) to critical roadway information. In this repeated measures study, we investigated the feasibility (i.e., recruitment and sample characteristics; data collection procedures; acceptability of the intervention; resources; and preliminary effects) of a DriveFocus™ app intervention on youth's driving performance. Thirty-four youth participated in a 9-week protocol (retention rate = 89.7%; adherence rate = 100%). No participants experienced simulator sickness. A preliminary nonparametric evaluation of the results ( n = 34) indicated a statistically significant decrease in the number of visual scanning, F(2, 68) = 3.769, p = .028, and adjustment to stimuli, F(2, 68) = 6.759, p = .002, errors between baseline, midpoint, and posttest. This study lays the foundation to support a targeted intervention trial to improve youth's attention to critical road information, building on their mobile technology preferences.