PURPOSE: The COVID-19 pandemic has affected the mental health of adults in the United States because of recommended preventive behaviors such as physical distancing. Our objective was to evaluate mental health symptoms and identify associated determinants among cancer survivors during the COVID-19 pandemic in the United States. METHODS: We used nationally representative data of 10,760 US adults from the COVID-19 Impact Survey. We defined cancer survivors as adults with a self-reported diagnosis of cancer (n = 854, 7.6%). We estimated associations of mental health symptoms among cancer survivors using multinomial logistic regression. We estimated determinants of reporting at least one mental health symptom 3-7 times in the 7 days before survey administration among cancer survivors using multivariable Poisson regression. RESULTS: Cancer survivors were more likely to report feeling nervous, anxious, or on edge (adjusted odds ratio [aOR], 1.42; 95% CI, 1.07 to 1.90); depressed (aOR, 1.57; 95% CI, 1.18 to 2.09); lonely (aOR, 1.42; 95% CI, 1.05 to 1.91); and hopeless (aOR, 1.51; 95% CI, 1.11 to 2.06) 3-7 days per week in the last 7 days when compared with adults without cancer. Among cancer survivors, adults of age 30-44 years (adjusted prevalence ratio [aPR], 1.87; 95% CI, 1.18 to 2.95), females (aPR, 1.55, 95% CI, 1.12 to 2.13), adults without a high school degree (aPR, 1.79; 95% CI, 1.05 to 3.04), and adults with limited social interaction (aPR, 1.40, 95% CI, 1.01 to 1.95) were more likely to report at least one mental health–related symptom in the last 7 days (3-7 days/week). CONCLUSION: Cancer survivors are reporting mental health symptoms during the COVID-19 pandemic, particularly young adults, adults without a high school degree, women, and survivors with limited social support.

Clinical indications for medicinal cannabis include chronic conditions; thus users (MCUs) are at an increased risk of morbidity and mortality resulting from SARS-CoV-2 infection (COVID-19). The stu...

Background: Adults with chronic conditions are disproportionately burdened by COVID-19 morbidity and mortality. Although COVID-19 mobile health (mHealth) apps have emerged, research on attitudes toward using COVID-19 mHealth tools among those with chronic conditions is scarce. Objective: This study aimed to examine attitudes toward COVID-19, identify determinants of COVID-19 mHealth tool use across demographic and health-related characteristics, and evaluate associations between chronic health conditions and attitudes toward using COVID-19 mHealth tools (eg, mHealth or web-based methods for tracking COVID-19 exposures, symptoms, and recommendations). Methods: We used nationally representative data from the COVID-19 Impact Survey collected from April to June 2020 (n=10,760). Primary exposure was a history of chronic conditions, which were defined as self-reported diagnoses of cardiometabolic, respiratory, immune-related, and mental health conditions and overweight/obesity. Primary outcomes were attitudes toward COVID-19 mHealth tools, including the likelihood of using (1) a mobile phone app to track COVID-19 symptoms and receive recommendations; (2) a website to track COVID-19 symptoms, track location, and receive recommendations; and (3) an app using location data to track potential COVID-19 exposure. Outcome response options for COVID-19 mHealth tool use were extremely/very likely, moderately likely, or not too likely/not likely at all. Multinomial logistic regression was used to compare the likelihood of COVID-19 mHealth tool use between people with different chronic health conditions, with not too likely/not likely at all responses used as the reference category for each outcome. We evaluated the determinants of each COVID-19 mHealth intervention using Poisson regression. Results: Of the 10,760 respondents, 21.8% of respondents were extremely/very likely to use a mobile phone app or a website to track their COVID-19 symptoms and receive recommendations. Additionally, 24.1% of respondents were extremely/very likely to use a mobile phone app to track their location and receive push notifications about whether they have been exposed to COVID-19. After adjusting for age, race/ethnicity, sex, socioeconomic status, and residence, adults with mental health conditions were the most likely to report being extremely/very or moderately likely to use each mHealth intervention compared to those without such conditions. Adults with respiratory-related chronic diseases were extremely/very (conditional odds ratio 1.16, 95% CI 1.00-1.35) and moderately likely (conditional odds ratio 1.23, 95% CI 1.04-1.45) to use a mobile phone app to track their location and receive push notifications about whether they have been exposed to COVID-19. Conclusions: Our study demonstrates that attitudes toward using COVID-19 mHealth tools vary widely across modalities (eg, web-based method vs app) and chronic health conditions. These findings may inform the adoption of long-term engagement with COVID-19 apps, which is crucial for determining their potential in reducing disparities in COVID-19 morbidity and mortality among individuals with chronic health conditions.