A Mixed-Methods and Prospective Approach to Understanding Coping Behaviors, Depression, Hopelessness, and Acute Stress in a U.S. Convenience Sample During the COVID-19 Pandemic.

The COVID-19 pandemic has led to increases in U.S. residents' stressors while limiting many of the resources previously available to cope with stress. Coping behaviors may contribute to the prevention or proliferation of psychological distress during and after the pandemic. Understanding these coping behaviors and associated psychological outcomes can help health educators develop programs that encourage effective coping and promote mental health. This study used a sequential mixed-methods approach informed by Roth and Cohen's conceptualization of coping to understand the use of approach coping behaviors- which are active and directed toward the perceived threat-and avoidance coping behaviors-which include activity directed away from perceived threat during the COVID-19 pandemic. U.S. residents (N = 2,987) were surveyed online in April 2020 and again in September 2021. Open-ended responses at baseline were thematically analyzed to illustrate coping behaviors in participants' own words. At baseline, more than half (56%) of the sample met criteria for probable depression, 51% for acute stress symptoms, and 42% for moderate to severe hopelessness. At follow-up, 45% meet criteria for probable depression and 23% for acute stress. However, the proportion of the sample who reported moderate to severe hopelessness increased to 48%. We used mixed-effects general linear models to examine changes over time and found that increases in approach coping behaviors were associated with decreases in depressive symptoms and hopelessness; increases in avoidance coping were associated with higher levels of depressive symptoms and higher levels of hopelessness. Increases in both types of coping were associated with increases in acute stress symptoms related to COVID-19. Although there was some attenuation in distress in our sample between April 2020 and September 2021, our findings suggest a need for interventions that encourage the use of approach coping behaviors and that both increase access to and decrease stigma for mental health support.

Characterizing Health Care Delays and Interruptions in the United States During the COVID-19 Pandemic: Internet-Based, Cross-sectional Survey Study.

BACKGROUND: The COVID-19 pandemic has broader geographic spread and potentially longer lasting effects than those of previous disasters. Necessary preventive precautions for the transmission of COVID-19 has resulted in delays for in-person health care services, especially at the outset of the pandemic. OBJECTIVE: Among a US sample, we examined the rates of delays (defined as cancellations and postponements) in health care at the outset of the pandemic and characterized the reasons for such delays. METHODS: As part of an internet-based survey that was distributed on social media in April 2020, we asked a US-based convenience sample of 2570 participants about delays in their health care resulting from the COVID-19 pandemic. Participant demographics and self-reported worries about general health and the COVID-19 pandemic were explored as potent determinants of health care delays. In addition to all delays, we focused on the following three main types of delays, which were the primary outcomes in this study: dental, preventive, and diagnostic care delays. For each outcome, we used bivariate statistical tests (t tests and chi-square tests) and multiple logistic regression models to determine which factors were associated with health care delays. RESULTS: The top reported barrier to receiving health care was the fear of SARS-CoV-2 infection (126/374, 33.6%). Almost half (1227/2570, 47.7%) of the participants reported experiencing health care delays. Among those who experienced health care delays and further clarified the type of delay they experienced (921/1227, 75.1%), the top three reported types of care that were affected by delays included dental (351/921, 38.1%), preventive (269/921, 29.2%), and diagnostic (151/921, 16.4%) care. The logistic regression models showed that age (P<.001), gender identity (P<.001), education (P=.007), and self-reported worry about general health (P<.001) were significantly associated with experiencing health care delays. Self-reported worry about general health was negatively related to experiencing delays in dental care. However, this predictor was positively associated with delays in diagnostic testing based on the logistic regression model. Additionally, age was positively associated with delays in diagnostic testing. No factors remained significant in the multiple logistic regression for delays in preventive care, and although there was trend between race and delays (people of color experienced fewer delays than White participants), it was not significant (P=.06). CONCLUSIONS: The lessons learned from the initial surge of COVID-19 cases can inform systemic mitigation strategies for potential future disruptions. This study addresses the demand side of health care delays by exploring the determinants of such delays. More research on health care delays during the pandemic is needed, including research on their short- and long-term impacts on patient-level outcomes such as mortality, morbidity, mental health, people's quality of life, and the experience of pain.

Addressing the critical need for long-term mental health data during the COVID-19 pandemic: Changes in mental health from April to September 2020.

Despite the large amounts of research currently being conducted and the high number of editorials warning about the potential mental health impacts, there is a stunning lack of longitudinal mental health data on the effects of the pandemic. Yet, the pandemic may have sizable long-term impacts on psychological distress and health behaviors-these effects may be long-lasting and may disproportionately affect some demographic groups more than others. Data came from a longitudinal international study of the impacts of the COVID-19 pandemic on adults' psychological distress and wellbeing (N = 1567). We found high rates of depression (55% were diagnosable with probable depression at baseline), anxiety (65%), and risk for PTSD (51%). More than one-third of participants who reported that they drank alcohol indicated that their drinking had increased since the start of the pandemic. Over time, depressive symptoms and suicidal thoughts and behaviors increased significantly, but acute stress symptoms decreased. Specific demographic groups (people of color and sexual and gender minorities) appeared to be at high risk of distress across analyses. Our findings suggest high rates of depression, anxiety, acute stress, and other signs of distress like isolation, hopelessness, and use of substances to cope-even at five-month follow-up. Our findings suggest a need to prioritize availability of, and access to, mental health care during both the pandemic and the recovery.