Background: Dental professionals are at high risk of being infected by and transmitting COVID-19 to patients. Patients’ perceived risk for infection and attitudes about receiving dental care during the pandemic are important to understand as patients consider returning to routine dental care as the pandemic progresses. Objective: The purpose of this study was to explore dental patients’ perceptions of susceptibility to contracting COVID-19, their related attitudes and beliefs regarding dental care visits, and their considerations for returning to routine care during and after the pandemic. Method: Data for this cross-sectional study came from an electronic survey of 464 US adults. Survey variables include demographics, dental hygiene behaviors, perceived susceptibility to COVID-19, attitudes and beliefs regarding risk for attending dental appointments, and the necessary conditions and events for them to feel comfortable returning to regular dental appointments. Results: Over half of study participants had a 4-y degree, an annual income of at least $50,000, and good oral hygiene practices of frequent brushing and routine dental visits. Older age and agreement with positive attitudinal statements and beliefs about professional dental care were positively related to perceived susceptibility for contracting COVID-19 in a dental setting. Perceptions of susceptibility, a higher valuation of dentistry, and agreement that COVID-19 is a serious infection were each positively related to attitudinal statements and beliefs reflecting caution in attending dental visits. Last, assurance from public health officials confirming the safety to return for routine dental care was the largest reported factor necessary for a return to routine dental visits. Conclusion: This study provides early data about patient perceptions of susceptibility and attitudes toward COVID-19 in a professional dental setting and necessary conditions for returning to regular visits. This information can help formulate messaging related to returning to professional dental care, specifically targeting fears among the most susceptible populations. Knowledge Transfer Statement: Government and public health agencies can play an important role in alleviating concerns and instilling confidence that dental settings are safe. With this information from the public, dental professionals and public health agencies can work together to share messaging that will consistently inform the public regarding the safety of returning to professional dental care as it relates to the reopening of states and cities.

Aims Little evidence exists to confirm that better oral health is associated with better overall health and well‐being. The present study aimed to examine the impact of oral health on the overall health of the population greater than 65‐year old in the entire United States. Methods and results Data from National Health and Nutrition Examination Survey (NHANES) 2015–2016 were used. Variables included demographics and perceptions of oral health and overall health and well‐being. Weighted prevalence estimates were calculated using mean, standard deviation, and percentage as appropriate. Chi‐square tests and logistic regressions were performed to examine the association of oral health with physical health, mental health, general health, and systemic disease conditions. Analyses showed statistically significant relationships between oral health, physical, mental and general health, energy levels, work limitation, depression, and appetite. Out of the 10 systemic diseases being investigated, six of them were directly related to oral health outcome. Conclusion This study provided strong empirical evidence that oral health is directly associated with different disease conditions and contributes largely to an individual's general health, particularly in the elderly. In the current landscape of patient‐centered and value‐based care, addressing the oral health needs of the elderly, who generally find themselves with limited access to care, should be a priority.

Introduction As total health and dental care expenditures in the United States continue to rise, healthcare disparities for low to middle-income Americans creates an imperative to analyze existing expenditures. This study examined health and dental care expenditures in the United States from 1996 to 2016 and explored trends in spending across various population subgroups. Methods Using data collected by the Medical Expenditure Panel Survey, this study examined health and dental care expenditures in the United States from 1996 to 2016. Trends in spending were displayed graphically and spending across subgroups examined. All expenditures were adjusted for inflation or deflation to the 2016 dollar. Results Both total health and dental expenditures increased between 1996 and 2016 with total healthcare expenditures increasing from $838.33 billion in 1996 to $1.62 trillion in 2016, a 1.9-fold increase. Despite an overall increase, total expenditures slowed between 2004 and 2012 with the exception of the older adult population. Over the study period, expenditures increased across all groups with the greatest increases seen in older adult health and dental care. The per capita geriatric dental care expenditure increased 59% while the per capita geriatric healthcare expenditure increased 50% across the two decades. For the overall US population, the per capita dental care expenditure increased 27% while the per capita healthcare expenditure increased 60% over the two decades. All groups except the uninsured experienced increased dental care expenditure over the study period.

The goals of this study were to develop a risk prediction model in unmet dental care needs and to explore the intersection between social determinants of health and unmet dental care needs in the United States. Data from the 2016 Medical Expenditure Panel Survey were used for this study. A chi-squared test was used to examine the difference in social determinants of health between those with and without unmet dental needs. Machine learning was used to determine top predictors of unmet dental care needs and to build a risk prediction model to identify those with unmet dental care needs. Age was the most important predictor of unmet dental care needs. Other important predictors included income, family size, educational level, unmet medical needs, and emergency room visit charges. The risk prediction model of unmet dental care needs attained an accuracy of 82.6%, sensitivity of 77.8%, specificity of 87.4%, precision of 82.9%, and area under the curve of 0.918. Social determinants of health have a strong relationship with unmet dental care needs. The application of deep learning in artificial intelligence represents a significant innovation in dentistry and enables a major advancement in our understanding of unmet dental care needs on an individual level that has never been done before. This study presents promising findings and the results are expected to be useful in risk assessment of unmet dental care needs and can guide targeted intervention in the general population of the United States.

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Background Despite controversy over their possible health consequences, manufacturers of e-cigarettes employ a variety of marketing media to increase their popularity among adolescents. This study analyzed the relationship between adolescent e-cigarette harm perception and five types of e-cigarette advertising exposures: social media, radio, billboard, newspaper, and television. Methods This study used data from Wave 4.5 of the Population Assessment of Tobacco and Health Study (PATH). PATH collects demographic data and interview individuals about issues pertaining to tobacco use, health outcomes, attitudes, and behaviors. This study applied factor analysis to three individual PATH harm perception items to develop a composite harm perception score. Using linear regression, the study explored the relationship of harm perception and participant responses to their recalled viewing of five different types (i.e., newspaper, radio, billboard, television and social media) of advertisements within the past 30 days. A second analysis explored if adjusting for exposure to anti-tobacco messaging and environmental factors such as family approval mitigated the association of harm perception and advertisement types. Results The study sample consisted of 12,570 (weighted N = 23,993,149) individuals aged 12 to 17 years old. Unadjusted past 30-day exposure to newspaper, radio, billboard, and social media advertising all correlated with a reduced harm perception, but only the associations for newspaper and social media were statistically significant (p<0.05). After adjusting for environmental support factors, exposure to warning labels, and anti-tobacco advertisements, the analysis yielded statistically significant associations between increased e-cigarette harm perception and exposure to radio, billboard, and television advertisements (p<0.05). Adjusting for covariates also reduced the association of marketing and harm perception for all forms of media. Conclusion E-cigarette advertising influences adolescent perceptions of harm in e-cigarette use, particularly for social media and newspaper advertisements. This association weakens when adjusted for covariates such as environmental support and exposure to anti-tobacco marketing. These findings provide evidence for policy makers to continue anti-tobacco marketing and incorporate environmentally supportive strategies such as holistic, family-centered educational approaches to reduce e-cigarette use among adolescents.

Background Childhood stunting is a major problem in Tanzania, affecting an estimated 2.7 million children under 5 years of age. The purpose of this study was to examine the factors associated with exposure to mass media (radio and television) and IPC (interpersonal communication) components integrated in a national communications campaign aiming to decrease stunting in Tanzania. Methods A cross-sectional survey was conducted among 3082 men and 4996 women dyads after the campaign. The average age of men was 34.7 years (SD = 8.9) and 28.1 years (SD = 6.9) for women. Several factors affecting exposure to the campaign were studied. Comparisons were made between radio, TV, and IPC exposure. Results Mothers who reported i) higher wealth, ii) being the primary decision-makers in the home, iii) receiving support from their husbands, iv) frequent access to radio and TV and, v) ownership of a cell phone, were more likely to report exposure to the mass media component of the communications campaign. Contrarily, the same factors were not predictors of exposure to the IPC component. Fathers who reported: i) higher wealth and education, ii) ownership of a cell phone, iii) recently listened to the radio, iv) that the mother made the decisions in the home and v) helping at home, were more likely to be exposed to the mass media component. Conclusion Significant factors affecting exposure to the communications campaign were varied but not consistent between mass media and IPC. Because of the high frequency of exposure to the campaign overall, both media and IPC components are important in a large-scale, health-related communications campaign.

Introduction: The purpose of this study was to analyze hospital capacities in terms of hospital beds and staffing in the United States and explore the trends of hospital capacities during the Omicron variant emergence. Methods: Using data collected by the United States Department of Health and Human Services, this study examined hospitalization rates from 15 December 2021 to 13 February 2022. Graphical trends were plotted for visualization of hospital bed usage and coronavirus disease 2019 (COVID-19) inpatient cases. A Pearson correlation test was used to explore the relationship between critical staffing shortage and COVID-19 death cases. Descriptive statistics of all hospital data were calculated. Results: At the peak of the Omicron variant surge, approximately one-third of the adult intensive care unit beds were used for COVID-19 patients in the United States. The total number of COVID-19 death cases increased as the number of hospitals with critical staffing shortages increased (p < 0.05). Discussion: This study can inform hospital administrators and public health policymakers on how to modify the use of existing hospital and human resources as the continually evolving pandemic taxes hospital capacity. Future studies need to be conducted to determine the long-term trend and how the COVID-19 pandemic continues to change rapidly.