Trends in cannabis use among U.S. adults amid the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has had an impact on mental health and alcohol use in the US, however there is little research on its impacts on cannabis use. Considering the role of cannabis as a coping strategy or self-medicating behavior, there is a need to understand how individuals who use cannabis have adapted their use amid the pandemic. Therefore, this study examined changes in self-reported cannabis use among US adults in the context of COVID-19 pandemic by (1) describing trends of use during the first 8 months of the pandemic among adults who used cannabis in this period; and (2) characterizing trends of use within sociodemographic subgroups and by state cannabis policy status. METHODS: The sample consisted of 1,761 US adults who used cannabis at least once during the 8-month study period from the nationally representative Understanding America Study. Linear mixed-effect models were used to model changes in the number of days of past-week cannabis use across 16 waves from March 10, 2020, to November 11, 2020. RESULTS: Compared to early March, the number of days cannabis was used per week was significantly higher at the start of April (ß=0.11, 95% CI=0.03, 0.18) and May (ß=0.21,95% CI=0.05, 0.36). In subsequent months (June - November), the number of days of cannabis use attenuated to levels comparable to March. Trends of cannabis use across the study period generally did not differ across sociodemographic characteristics and state cannabis policy status. CONCLUSION: Though increases in use were marginal among many groups, the evolving pandemic and the growing concern for the mental health of segments of the U.S. population warrant close monitoring of coping behaviors, including substance use.

Association between psychological resilience and changes in mental distress during the COVID-19 pandemic.

BACKGROUND: Psychological responses to potentially traumatic events tend to be heterogeneous, with some individuals displaying resilience. Longitudinal associations between resilience and mental distress during the COVID-19 pandemic, however, are poorly understood. The objective of this study was to examine the association between resilience and trajectories of mental distress during the COVID-19 pandemic. METHODS: Participants were 6,008 adults from the Understanding America Study, a probability-based Internet-panel representative of the US adult population. Baseline data were collected between March 10 and March 31, 2020, with nine follow-up waves conducted between April 1 and August 4. Mixed-effects logistic regression was used to examine the association between date and mental distress, stratified by resilience level (low, normal, or high). RESULTS: In contrast to the high resilience group, participants in the low and normal resilience groups experienced increases in mental distress in the early months of the pandemic (low: OR=2.94, 95% CI=1.93-4.46; normal: OR=1.91, 95% CI=1.55-2.35). Men, middle-aged and older adults, Black adults, and adults with a graduate degree were more likely to report high resilience, whereas adults living below the poverty line were less likely to report high resilience. LIMITATIONS: These associations should not be interpreted as causal, and resilience was measured at only one time-point. CONCLUSIONS: Trajectories of mental distress varied markedly by resilience level during the early months of the COVID-19 pandemic, with low-resilience adults reporting the largest increases in mental distress during this crisis. Activities that foster resilience should be included in broader strategies to support mental health throughout the pandemic.

Perceived Discrimination and Mental Distress Amid the COVID-19 Pandemic: Evidence From the Understanding America Study.

INTRODUCTION: This study examines COVID-19-associated discrimination regardless of infection status. It evaluates the contribution of various risk factors (e.g., race/ethnicity and wearing a face mask) and the relationship with mental distress among U.S. adults in March and April 2020, when the pandemic escalated across the country. METHODS: Participants consisted of a probability-based, nationally representative sample of U.S. residents aged ≥18 years who completed COVID-19-related surveys online in March and April (n=3,665). Multivariable logistic regression was used to predict the probability of a person perceiving COVID-19-associated discrimination. Linear regression was used to analyze the association between discrimination and mental distress. Analyses were conducted in May 2020. RESULTS: Perception of COVID-19-associated discrimination increased from March (4%) to April (10%). Non-Hispanic Black (absolute risk from 0.09 to 0.15 across months) and Asians (absolute risk from 0.11 to 0.17) were more likely to perceive discrimination than other racial/ethnic groups (absolute risk from 0.03 to 0.11). Individuals who wore face masks (absolute risk from 0.11 to 0.14) also perceived more discrimination than those who did not (absolute risk from 0.04 to 0.11). Perceiving discrimination was subsequently associated with increased mental distress (from 0.77 to 1.01 points on the 4-item Patient Health Questionnaire score). CONCLUSIONS: Perception of COVID-19-associated discrimination was relatively low but increased with time. Perceived discrimination was associated with race/ethnicity and wearing face masks and may contribute to greater mental distress during early stages of the pandemic. The long-term implications of this novel form of discrimination should be monitored.