Exploratory factor analysis and validity of the virtual reality symptom questionnaire and computer use survey.

The widespread use of virtual reality head-mounted-displays (HMDs) calls for a re-examination of the impact of prolonged exposure to fixed visual displays at close ocular proximity. The purpose of this study is to validate the Virtual Reality Symptoms Questionnaire (VRSQ), created to understand symptoms of prolonged HMDs use, and Computer Use Survey (CUS), created to assess general physical and visual discomfort symptoms. Participants (N = 100) recorded their general discomfort symptoms using the CUS, performed an interactive task using a HMD for thirty minutes, and then answered the CUS again along with the VRSQ. VRSQ, analysed using an exploratory factor analysis, indicated a clear two-factor solution, and demonstrated very good internal consistency (α = 0.873). The CUS, also analysed using an exploratory factor analysis, indicated a four-factor solution, and demonstrated good internal consistency (α = 0.838). Practitioner Summary: A quantitative-experimental study was conducted to explore the factor structure and validate both the Virtual Reality Symptoms Questionnaire (VRSQ), and the Computer Use Survey (CUS). Findings indicate the VRSQ and CUS are precise and accurate survey instruments for evaluating discomfort after VR-HMD use and the latter for computer use. Abbreviations: VRSQ: virtual reality symptom questionnaire; CUS: computer use survey; OLED: organic light-emitting diode; MSQ: pensacola motion symptom questionnaire; SSQ: simulator sickness questionnaire; 3 D: three-dimensional computer generated space; VR: virtual reality; VR-HMD: virtual reality head-mounted-display; HMDs: head-mounted-displays; EFA: exploratory factor analysis.

Predictors of Mental Health Outcomes in Grocery Store Workers amid the COVID-19 Pandemic and Implications for Workplace Safety and Moral Injury.

Limited research exists on the mental health (MH) of grocery store workers (GSWs), who have been on the frontlines throughout the COVID-19 pandemic. A disaster MH conceptual model incorporating demographics, disaster exposure and threat (COVID-19 fear and workplace threat perception), perceived stress, and social support (lack of from family and friends) was utilized to predict MH outcomes (anxiety, depression, and post-traumatic stress symptoms; PTSS) of GSWs. GSWs (n = 842) were recruited through a regional union in California. The participants were diverse (62.1% female) and were 18-69 years of age (M = 41.5, SD = 13.9). They completed an online survey regarding COVID-19 fear, workplace threat perception, perceived stress, lack of social support, and workplace needs/recommendations for support. Three hierarchical linear regression models were run assessing each MH outcome. Thematic analysis coding and an inductive approach were utilized for analyzing open-ended responses of workplace needs/recommendations. Females and younger GSWs (ages 18-29 years old) on average, reported higher MH symptoms than males and older age groups, respectively. COVID-19 fear and perceived stress were significant predictors of anxiety, while COVID-19 fear, workplace threat perception, and perceived stress significantly predicted depression and PTSS, explaining almost half of the variance for each model. Social support and demographics were not predictive of MH outcomes. Almost half of GSWs (40%) requested increased safety protections in the workplace. Feelings of fear of COVID-19, threat in the workplace, and overall perceived stress are predictive of GSWs' MH outcomes. Increasing feelings of safety in the workplace and reducing stress may lessen MH symptoms.