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Background Years of Life Lost (YLLs) measure the shortfall in life expectancy due to a medical condition and have been used in multiple contexts. Previously it was estimated that there were 1.2 million YLLs associated with coronavirus disease 2019 (COVID-19) deaths in the USA through 11 July 2020. The aim of this study is to update YLL estimates for the first full year of the pandemic. Methods We employed data regarding COVID-19 deaths in the USA through 31 January 2021 by jurisdiction, gender and age group. We used actuarial life expectancy tables by gender and age to estimate YLLs. Results We estimated roughly 3.9 million YLLs due to COVID-19 deaths, which correspond to roughly 9.2 YLLs per death. We observed a large range across states in YLLs per 10 000 capita, with New York City at 298 and Vermont at 12. Nationally, the YLLs per 10 000 capita were greater for males than females (136.3 versus 102.3), but there was significant variation in the differences across states. Conclusions Our estimates provide further insight into the mortality effects of COVID-19. The observed differences across states and genders demonstrate the need for disaggregated analyses of the pandemic's effects. [ABSTRACT FROM AUTHOR]

Background The United States Centers for Disease Control and Prevention (CDC)-sanctioned prevention strategies have included frequent handwashing with soap and water, covering the mouth and nose with a mask when around others, cleaning and disinfecting maintaining a distance of at least 6 feet from others, etc. Although many of these recommendations are based upon observation and past infection control practices, it is important to combine and explore public data sets to identify predictors of infection, morbidity and mortality to develop more finely honed interventions, based on sociodemographic factors. Method Cross-sectional study of both states in the US and counties in NY state. Results Population density was found to be significantly associated with state-level coronavirus infection and mortality rate (b  = 0.49, 95% confidence interval (CI): 0.34, 0.64, P  < .0001). States that have lower socioeconomic status, lower mean age and denser populations are associated with higher incidence rates. In regard to NY state, counties with a higher percentage of minority residents had higher COVID-19 mortality rates (b  = 2.61, 95% CI: 0.36, 4.87, P  = 0.023). Larger population cohorts were associated with lower COVID-19 mortality rates after adjusting for other variables in the model (b  = −1.39, 95% CI: −2.07, −0.71, P  < 0.001). Population density was not significantly associated with COVID-19 mortality rates after adjustment across counties in the NY state. Public ridership was not indicative of cases or mortality across states in the USA; however, it is a significant factor associated with incidence (but not mortality) in NY counties. Conclusion Population density was the only significant predictor of mortality across states in the USA. Lower mean age, lower median household incomes and more densely populated states were at higher risk of COVID-19 infection. Population density was not found to be a significant independent variable compared to minority status and socioeconomic factors in the New York epicenter. Meanwhile, public ridership was found to be a significant factor associated with incidence in New York counties. [ABSTRACT FROM AUTHOR]

Background Food bank users suffer high food insecurity. Food insecurity increases risk for chronic health conditions. However, chronic pain and its relation to food insecurity among food bank users is unknown. Knowledge about populations with chronic pain is important to direct appropriate public health nutritional strategies. Methods Participants completed a survey including sleep, pain, depressive symptoms and food insecurity measures. Descriptive statistics characterized the burden of chronic pain among the sample, and a series of chi-square and t-tests assessed for demographic differences between food bank users who reported pain compared to those who did not. Logistic regression tested for variables predicting food insecurity. Results Within the sample (N  = 207), 53% reported a chronic pain diagnosis. Adults with pain were more likely to receive food stamps and to have a mental health condition than those without pain. Regression analyses revealed that depressive symptoms and chronic pain significantly predicted food insecurity when controlling for age and gender. Conclusions Exploring the link between depression, pain and nutritional resources may enhance understanding of causal relationships driving food insecurity. Public health officials should address nutritional needs of adults including those with chronic pain who use food bank services. [ABSTRACT FROM AUTHOR]

Background The mental health impact of the pandemic after the initial lockdowns has not been well studied in the USA. Thus, the purpose of this study was to conduct a comprehensive and systematic national assessment of the prevalence of depression and anxiety in the adult US population. Methods A multi-item, valid and reliable questionnaire was deployed online via mTurk and social media sites to recruit adult US participants in the general population across the USA. A total of 1978 individuals participated in the study, where the majority were: females (51%), whites (74%), non-Hispanic (81%), married (56%), employed full time (68%) and with a bachelor's degree or higher (78%). Results The prevalence of depression (39%), anxiety (42%) and psychological distress (39%) were computed from the PHQ-4 scale. In multiple regression analyses, depression, anxiety and psychological distress burden (assessed by PHQ-4 scale) was predicted significantly based on race, ethnicity, age, having children at home, employment as a healthcare worker, annual household income and area of residence. Males were more likely to have depression, and females were more likely to have anxiety symptoms. Conclusions Given the high prevalence of depression and anxiety, interdisciplinary and multisectoral approaches are recommended in the USA along with population-based interventions on mental health improvement. [ABSTRACT FROM AUTHOR]

Background Quantify the influenza vaccine coverage is essential to identify emerging concerns and to immunization programs for targeting interventions. Methods Data from National Health Interview Survey were used to estimate receipt of at least one dose of influenza vaccination among children 6 months to 17 years of age. Results Influenza vaccination coverage increased from 16.70% during 2004/2005 to 49.43% during 2015/2016 (3.18% per year, P < 0.001); however, the coverage increased slightly after 2010/2011. Children at high risk of influenza complications had higher influenza vaccination coverage than non at-risk children. Boys and girls had similar coverage each year. While the coverage increased from 2004/2005 to 2015/2016 for all age groups, the coverage decreased with age each year (−0.64 to −1.58% per age group). There was a higher and rapid increase of coverage in Northeast than Midwest, South and West. American Indian or Alaskan Native and Asian showed higher coverage than other race groups (White, Black/African American, Multiple race). Multivariable analysis showed that high-risk status and region had the greatest associations with levels of vaccine coverage. Conclusions Although the influenza vaccination coverage among children had increased remarkably since 2004/2005, establishing more effective immunization programs are warranted to achieve the Healthy People 2020 target. [ABSTRACT FROM AUTHOR]