Protective and Non-Protective Factors of Mental Health Distress in the United States during the COVID-19 Pandemic: A Systematic Review.

Background and objectives: Health care organizations continue to respond to the COVID-19 global pandemic and an ongoing array of related mental health concerns. These pandemic-related challenges continue to be experienced by both the U.S. population and those abroad. Materials and methods: This systematic review queried three research databases to identify applicable studies related to protective and non-protective factors of mental health distress experienced during the pandemic within the United States. Results: Three primary factors were identified as protective factors, potentially helping to moderate the incidence of mental distress during the pandemic: demographics, personal support/self-care resources, and income/financial concerns. Researchers also identified these same three constructs of non-protective factors of mental health distress, as well as two additional variables: health/social status and general knowledge/government mistrust. Conclusions: This systematic review has identified protective and non-protective factors of mental health distress experienced in the United States during the COVID-19 pandemic (to date) that can further assist medical providers in the U.S. and beyond as the pandemic and related mental health concerns continue at a global level.

Influences of reopening businesses and social venues: COVID-19 incidence rate in East Texas county.

As the on-going severe acute respiratory syndrome coronavirus 2 pandemic, we aimed to understand whether economic reopening (EROP) significantly influenced coronavirus disease 2019 (COVID-19) incidence. COVID-19 data from Texas Health and Human Services between March and August 2020 were analysed. COVID-19 incidence rate (cases per 100 000 population) was compared to statewide for selected urban and rural counties. We used joinpoint regression analysis to identify changes in trends of COVID-19 incidence and interrupted time-series analyses for potential impact of state EROP orders on COVID-19 incidence. We found that the incidence rate increased to 145.1% (95% CI 8.4-454.5%) through 4th April, decreased by 15.5% (95% CI -24.4 -5.9%) between 5th April and 30th May, increased by 93.1% (95% CI 60.9-131.8%) between 31st May and 11th July and decreased by 13.2% (95% CI -22.2 -3.2%) after 12 July 2020. The study demonstrates the EROP policies significantly impacted trends in COVID-19 incidence rates and accounted for increases of 129.9 and 164.6 cases per 100 000 populations for the 24- or 17-week model, respectively, along with other county and state reopening ordinances. The incidence rate decreased sharply after 12th July considering the emphasis on a facemask or covering requirement in business and social settings.