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Background: The COVID-19 pandemic is a major public health challenge. The US Centers for Disease Control published guidelines early in the pandemic emphasizing practicing good hygiene and staying at home, which were later modified., Purpose: Using a community sample of 2152 participants in the state of Florida who responded to a series of online surveys, we tested a prediction model of adherence to guidelines and intent to vaccinate during the COVID-19 pandemic., Methods: Participants were assessed in May 2020, June 2020, and January 2021. Predictors included sociodemographic and psychological variables., Results: A slight decrease in adherence was reported over time. In multivariate models, older age, female sex, having health insurance, greater knowledge about COVID-19, more worry, less loneliness, and greater confidence and trust in COVID-19 information were all significantly and consistently associated with greater adherence to guidelines. Significant predictors of intent to vaccinate were male sex, greater knowledge, higher socioeconomic status, identifying as White, and greater guideline adherence (p's < 0.05)., Conclusions: Our findings highlight a number of significant predictors, including knowledge, loneliness, and confidence/trust. Critically these variables are modifiable and could therefore serve as targets in public health interventions to improve adherence to pandemic guidelines in the general population, as well as certain demographic characteristics that may influence intent to vaccinate. COVID-19 knowledge appears to play a central role in both adherence to guidelines and intent to vaccinate suggesting that having accurate information is critical for appropriate behavior., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Background: The COVID-19 pandemic, a high-uncertainty situation, presents an ideal opportunity to examine how trait intolerance of uncertainty (IU) and situation-specific IU relate to each other and to mental health outcomes. The current longitudinal study examined the unique associations of trait and COVID-specific IU with general distress (anxiety and depression) and pandemic-specific concerns (pandemic stress and vaccine worry)., Methods: A community sample of Florida adults (N = 2152) was surveyed online at three timepoints. They completed measures of trait IU at Wave 1 (April-May 2020) and COVID-specific IU at Wave 2 (May-June 2020). At Wave 3 (December-February 2021), they reported symptoms of depression, anxiety, pandemic stress, and vaccine worry., Results: We used structural equation modeling to test our overall model. Trait IU significantly predicted later COVID-specific IU, however there was no significant effect of trait IU on any outcome measure after accounting for COVID-specific IU. Notably, COVID-specific IU fully mediated the relationship between trait IU and all four symptom measures., Limitations: There were several limitations of the current study, including the use of a community sample and high participant attrition., Conclusions: Results suggest that COVID-specific IU predicts mental health outcomes over and above trait IU, extending the existing literature. These findings indicate that uncertainty may be more aversive when it is related to specific distressing situations, providing guidance for developing more specific and individualized interventions. Idiographic treatments which target situation-specific IU may be more efficacious in reducing affective symptoms and related stress during the COVID-19 pandemic or other similar events., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objectives: The COVID-19 pandemic presented both serious health threats and economic hardships, which were reflected in increased rates of mood and anxiety symptoms. We examined two separate distress domains, health worries and work distress, as predictors of mood and anxiety symptoms. Additionally, we considered whether these two domains might be uniquely associated with the development of dysfunctional beliefs, as a proposed mechanism to account for increased symptoms during the pandemic. Two separate models were considered to examine if associations remained stable through the first year of the pandemic., Methods: Participants (N = 2152) were a representative sample of Florida adults. They completed online surveys at three waves: Wave 1 (April-May 2020), Wave 2 (May-June 2020), and Wave 3 (December-February 2021). Participants completed measures of COVID-19 health worry and work distress, anxiety, and depression. They also reported their level of hopelessness and helplessness (indices of dysfunctional beliefs)., Results: In an early pandemic model (Wave 1-Wave 2), health worry directly and indirectly predicted anxiety and depression via dysfunctional beliefs. In contrast, work distress only indirectly predicted both outcomes. In a longer-term model (Wave 2-Wave 3), health worry had direct and indirect effects on downstream anxiety but not depression. Pandemic work distress had no effect on depression or dysfunctional beliefs; however, it was associated with less anxiety., Conclusions: Although health worry and work distress predicted later symptoms of anxiety and depression, they appeared to operate through different pathways. These findings provide guidance for the development of more effective interventions to reduce the impact of pandemics., (© 2022 The British Psychological Society.)

Objectives: Previous studies have established a link between the COVID-19 pandemic and poor mental health. They further suggest that young adults may be especially vulnerable to worsened mental health during the pandemic, but few studies have investigated which specific aspects of the COVID-19 experience affect psychological well-being over time. To better understand concrete predictors of poor mental health outcomes in this population, we identified several pandemic-related experiences and evaluated their effects on mental health symptoms (depression, anxiety, stress, alcohol, and substance use) in a sample of U.S. college students (N = 176)., Methods: Both mental health symptoms and pandemic-related experiences were evaluated at the start of quarantine (March/April 2020, Time 1) and the end of the Spring 2020 semester (May 2020, Time 2). Given the limited literature on specific predictors of mental health during a pandemic, we used elastic net regression, a novel analytic method that helps with variable selection when theoretical background is limited, to narrow our field of possible predictors., Results: While mental health symptoms were elevated at both timepoints, there were no clinically significant changes from Time 1 to Time 2 and few differences between sociodemographic groups. Both disruption due to the pandemic (β = .25, p = .021) and limited confidence in the federal government's response (β = -.14, p = .038) were significant predictors of depression symptoms at the end of the semester, even when controlling for baseline depression. Further, predictions that the pandemic would continue to impact daily life further into the future were linked with pandemic stress response symptoms (β = .15, p = .032) at Time 2, beyond the effects of baseline symptoms. Alcohol (β = -.22, p = .024) and substance use (β = -.26, p = .01) were associated with reduced adherence to COVID-19 guidelines., Conclusions: Our findings indicate that specific aspects of the pandemic experience may be influencing internalizing symptoms and alcohol/substance use in college students, pointing to potential avenues for targeted support and intervention., Practitioner Points: A range of factors may influence university student mental health during the COVID-19 pandemic. Students who expect the pandemic will continue to impact daily life further into the future maybe more likely to report stress symptoms. Disruption due to the pandemic and limited confidence in the federal government's response may be associated with depression symptoms. Alcohol and substance use are associated with lower COVID-19 guideline adherence in university students., (© 2021 The British Psychological Society.)

Abstract Objective Methods and Measures Results Conclusion We investigated how psychosocial and health stressors and related cognitive-affective factors were differentially associated with sleep quality during the early months of the COVID-19 pandemicAdults living in Florida (n = 2,152) completed a Qualtrics survey in April-May 2020 (Wave 1). Participants (n = 831) were reassessed one month later (Wave 2; May-June 2020). At Wave 1, participants reported their level of physical contact with someone they care about, presence of a pre-existing chronic disease, employment status, loneliness, health worry, and financial distress. At Wave 2, participants rated their quality of sleep and insomnia symptoms.Loneliness, but not health worry or financial distress, directly predicted worse sleep quality. Lack of physical contact was indirectly associated with worse sleep quality via greater levels of loneliness. Further, results showed the presence of a pre-existing chronic disease was associated with both greater health worry and worse sleep quality.Loneliness was the sole cognitive-affective predictor of worse sleep quality when controlling for other psychosocial factors. As expected, adults living with a chronic disease reported impaired sleep quality. Understanding the processes influencing sleep quality during a significant time of stress is important for identifying risk factors, informing treatment, and improving sleep health beyond the pandemic. [ABSTRACT FROM AUTHOR]