Association of the COVID-19 Pandemic and Changes in Patterns of Cancer-Related Mortality in the United States.

PURPOSE: This study examined changes in patterns of cancer-related deaths during the first year of the coronavirus disease 2019 pandemic in the United States. METHODS: We identified cancer-related deaths, defined as deaths attributable to cancer as the primary cause (underlying cause) or deaths with cancer documented as one of the multiple contributing factors (contributing cause) from the Multiple Cause of Death database (2015-2020). We compared age-standardized cancer-related annual and monthly mortality rates for January-December 2020 (first pandemic year) to January-December 2015-2019 (prepandemic) overall and stratified by sex, race/ethnicity, urban rural residence, and place of death. RESULTS: We found that the death rate (per 100,000 person-years) with cancer as the underlying cause was lower in 2020 compared with 2019 (144.1 v 146.2), continuing the past trend observed in 2015-2019. By contrast, the death rate with cancer as a contributing cause was higher in 2020 than in 2019 (164.1 v 162.0), reversing the continuously decreasing trend from 2015 to 2019. We projected 19,703 more deaths with cancer as a contributing cause than expected on the basis of historical trends. Mirroring pandemic peaks, the monthly death rates with cancer as a contributing cause first increased in April 2020 (rate ratio [RR], 1.03; 95% CI, 1.02 to 1.04), subsequently declined in May and June 2020, and then increased again each month from July through December 2020 compared with 2019, with the highest RR in December (RR, 1.07; 95% CI, 1.06 to 1.08). CONCLUSION: Death rates with cancer as the underlying cause continued to decrease in 2020 despite the increase in death rates with cancer as a contributing cause in 2020. Ongoing monitoring of long-term cancer-related mortality trends is warranted to assess effects of delays in cancer diagnosis and receipt of care during the pandemic.

Mask-Wearing and Handwashing Behaviors of Chinese Rural Residents during the Pandemic of COVID-19: A Cross-Sectional Survey.

OBJECTIVE: To understand mask-wearing and handwashing behaviors of Chinese rural residents during the COVID-19 pandemic and to analyze the associated factors. METHODS: This study used a multi-stage random sampling method to conduct a cross-sectional questionnaire survey during the period of July to December of 2021, in six counties located in Shandong, Shanxi, and Yunnan provinces representing the eastern, central, and western regions of China, respectively. A total of 3864 villagers were surveyed with a questionnaire, and 3832 valid questionnaires were finally analyzed. Descriptive statistics and logistic regression analysis were used for statistical analysis. RESULTS: Around ninety-four percent (93.6%) of rural residents reported mask-wearing during the COVID-19 pandemic, but only 44.5% of them could replace masks in time. Multivariate logistic regression analysis showed that those who were female, aged 15-59, had an education level of high school and above, were divorced/widowed, worked as farmers (workers), or were rural residents in Shandong Province were more likely to wear masks. Furthermore, those who were female, aged 15-59, had an education level of high school and above, were unmarried and married, were business and service workers, or were rural residents in Shandong and Shanxi Province replaced masks more timely. Around seventy percent (69.7%) of rural residents reported using soap when washing their hands, but only 38.0% of rural residents could wash their hands properly. Multivariate logistic regression analysis showed that rural residents who were aged 35-59, had an education of high school and above, or lived in Shandong Province and Shanxi Province were more likely to wash their hands with soap. Those who were aged 15-59, had an education of high school and above, worked as farmers (workers), were employees of governmental departments and retirees, were business and service workers, or were students had higher proper handwashing rates. CONCLUSION: During the COVID-19 pandemic, the proportion of Chinese rural residents wearing masks reached 93.6%, but only 44.5% were able to replace masks in time, gender, age, education level, marital status, occupation, and living place had an impact on mask-wearing. The proportion of Chinese rural residents who could wash hands with soap reached 69.7%, but only 38.0% could wash their hands properly. Age and education level were influencing factors for both washing-hand with soap and proper handwashing.

Unemployment and cancer screening: Baseline estimates to inform health care delivery in the context of COVID-19 economic distress.

BACKGROUND: During the coronavirus disease 2019 pandemic, US unemployment rates rose to historic highs, and they remain nearly double those of prepandemic levels. Employers are the most common source of health insurance among nonelderly adults. Thus, job loss may lead to a loss of health insurance and reduce access to cancer screening. This study examined associations between unemployment, health insurance, and cancer screening to inform the pandemic's potential impacts on early cancer detection. METHODS: Up-to-date and past-year breast, cervical, colorectal, and prostate cancer screening prevalences were computed for nonelderly respondents (aged <65 years) with 2000-2018 National Health Interview Survey data. Multivariable logistic regression models with marginal probabilities were used to estimate unemployed-versus-employed unadjusted and adjusted prevalence ratios. RESULTS: Unemployed adults (2000-2018) were 4 times more likely to lack insurance than employed adults (41.4% vs 10.0%; P < .001). Unemployed adults had a significantly lower up-to-date prevalence of screening for cervical cancer (78.5% vs 86.2%; P < .001), breast cancer (67.8% vs 77.5%; P < .001), colorectal cancer (41.9 vs 48.5%; P < .001), and prostate cancer (25.4% vs 36.4%; P < .001). These differences were eliminated after accounting for health insurance coverage. CONCLUSIONS: Unemployment was adversely associated with up-to-date cancer screening, and this was fully explained by a lack of health insurance. Ensuring the continuation of health insurance coverage after job loss may mitigate the pandemic's economic distress and future economic downturns' impact on cancer screening.

Internet-Based Health Care Communication Among Cancer Survivors, 2011-2018 National Health Interview Survey.

INTRODUCTION: Understanding trends and associated factors in internet-based health care communication (IBHC) among cancer survivors is important for meeting patient needs because their reliance on telehealth is growing. We aimed to examine IBHC use among cancer survivors in the US. METHODS: We identified adult cancer survivors aged 18 to 64 (n = 8,029) and 65 or older (n = 11,087) from the National Health Interview Survey in 2011-2018. We calculated temporal trends of self-reported IBHC in the previous year (filled a prescription, scheduled a medical appointment, or communicated with a health care provider) and used multivariable logistic models to identify associated factors. RESULTS: Approximately 84% of survivors had been diagnosed 2 years or more before the survey. IBHC prevalence increased among cancer survivors aged 18 to 64, from 19.3% to 40.2%, and among those aged 65 or older, from 11.4% to 22.6%, from 2011 to 2018 (P for trend <.001). Among both age groups, lower educational attainment, lack of usual source of care, and current smoking were associated with less IBHC, whereas residing in the South or West, having 1 or more chronic conditions, and drinking any alcohol were associated with higher IBHC (all P < .05). Factors associated with less IBHC also included being non-Hispanic Black or Hispanic, lacking private insurance, and being 11 or more years postdiagnosis among survivors aged 18 to 64; among survivors aged 65 or older, factors were being an older age, not married, and non-US born (all P < .05). CONCLUSION: IBHC among cancer survivors is common and increasing, with differences across sociodemographic and behavioral characteristics. As health care delivery continues adopting IBHC and other advanced telehealth techniques, disparities need to be addressed to ensure equitable access to care for all cancer survivors.

Synthesis and Biological Evaluation of Honokiol Derivatives Bearing 3-((5-phenyl-1,3,4-oxadiazol-2-yl)methyl)oxazol-2(3H)-ones as Potential Viral Entry Inhibitors against SARS-CoV-2.

The 2019 coronavirus disease (COVID-19) caused by SARS-CoV-2 virus infection has posed a serious danger to global health and the economy. However, SARS-CoV-2 medications that are specific and effective are still being developed. Honokiol is a bioactive component from Magnoliae officinalis Cortex with damp-drying effect. To develop new potent antiviral molecules, a series of novel honokiol analogues were synthesized by introducing various 3-((5-phenyl-1,3,4-oxadiazol-2-yl)methyl)oxazol-2(3H)-ones to its molecule. In a SARS-CoV-2 pseudovirus model, all honokiol derivatives were examined for their antiviral entry activities. As a result, 6a and 6p demonstrated antiviral entry effect with IC50 values of 29.23 and 9.82 µM, respectively. However, the parental honokiol had a very weak antiviral activity with an IC50 value more than 50 µM. A biolayer interfero-metry (BLI) binding assay and molecular docking study revealed that 6p binds to human ACE2 protein with higher binding affinity and lower binding energy than the parental honokiol. A competitive ELISA assay confirmed the inhibitory effect of 6p on SARS-CoV-2 spike RBD's binding with ACE2. Importantly, 6a and 6p (TC50 > 100 µM) also had higher biological safety for host cells than honokiol (TC50 of 48.23 µM). This research may contribute to the discovery of potential viral entrance inhibitors for the SARS-CoV-2 virus, although 6p's antiviral efficacy needs to be validated on SARS-CoV-2 viral strains in a biosafety level 3 facility.

Health Insurance Disruptions and Care Access and Affordability in the U.S.

INTRODUCTION: Health insurance is associated with better care in the U.S., but little is known about the associations of coverage disruptions (i.e., periods without insurance) with care access, receipt, and affordability. METHODS: Adults aged 18-64 years with current private (n=124,746), public (n=30,932), or no (n=31,802) insurance coverage were identified from the 2011-2018 National Health Interview Survey. Data were analyzed in 2020. Separate multivariable logistic regressions evaluated the associations of having coverage disruptions or being uninsured with care access, receipt, and affordability. RESULTS: Overall, 5.0% of currently insured adults with private and 10.7% with public insurance reported a coverage disruption in the previous year, representing nearly 9.1 million adults in 2018. Among currently uninsured, 24.9% reported coverage loss within the previous year, representing nearly 8.1 million adults in 2018. Among adults with current private or current public coverage, disruptions were associated with lower receipt of all preventive services (AOR=0.42, 95% CI=0.37, 0.46 and AOR=0.48, 95% CI=0.40, 0.58, respectively), with forgoing any needed care because of cost (AOR=4.79, 95% CI=4.44, 5.17 and AOR=4.28, 95% CI=3.86, 4.75), and with medication nonadherence because of cost (AOR=3.55, 95% CI=3.13, 4.03 and AOR=4.09, 95% CI=3.43, 4.88) compared with that among adults with continuous coverage (p<0.05). Longer disruptions among currently insured adults were significantly associated with worse care access, receipt, and affordability, with dose-response patterns. Currently uninsured adults, especially those with longer uninsured periods, reported significantly worse care access, receipt, and affordability than currently insured adults with coverage disruptions or continuous coverage. CONCLUSIONS: Findings highlight the importance of continuous insurance coverage; disruptions owing to the COVID-19 pandemic will likely have adverse consequences for care access and affordability.