Based upon the lack of current information regarding the pediatric patient population at UNLV-SDM, the overall goal of this project was to analyze the demographic characteristics of this population, indicators for socioeconomic status (SES), such as enrollment in Medicaid, and other barriers to healthcare access, such as non-English/non-Spanish languages spoken. Using an Institutional Review Board (IRB)-approved protocol, this analysis revealed the percentage of minority pediatric patients between 2010 and 2020 increased among African Americans, Asian Americans, and mixed or multiracial patients, while decreasing among Hispanics. Analysis of the Limited English Proficiency (LEP) patients and guardians found an overall increase in the number of non-English/non-Spanish languages spoken from n = 4 in 2010 to n = 21 in 2020 with no significant changes in Medicaid/CHIP enrollment identified between 2010 and 2020 (76.7%, 77.9%, p = 0.988). These data suggest the composition of the patient population has experienced significant shifts over time, with more patients of mixed racial backgrounds and increased numbers of Limited English Proficiency (non-English/non-Spanish foreign languages) spoken. These data may suggest there is an increased need for multilingual health materials, training, and translators for pediatric oral health within this population.

https://www.mdpi.com/2036-7503/14/2/35/pdf?version=1654161667

Analysis of a Pediatric Dental School Patient Population Revealed Increasing Trends of Limited English Proficiency (LEP) Patients: Implications for Pediatric Dental Public Health and Access to Care

Location matters: Regional variation in association of community burden of COVID-19 with caregiver and youth worry

Older adults have a disproportionately higher COVID-19 risk; however, there is limited research investigating adherence to the major COVID-19 mitigation behaviors (handwashing, masking, social distancing) for older populations. We examined COVID-19 risk factors and predictors for adherence to COVID-19 mitigation behaviors among a national sample of US older adults.Data were retrieved for 3257 respondents from a nationally representative prospective sample of US Medicare beneficiaries aged ≥65 years. COVID-19 variables were collected in 2020, whereas all other data were collected in 2019.We used multiple logistic regression to analyze COVID-19 risk factors and predictors for handwashing, masking, and social distancing to minimize COVID-19 spread. All models applied survey sampling weights.Factors significantly associated with increased odds of COVID-19 diagnosis among US older adults were Hispanic ethnicity (adjusted odds ratio [aOR] = 2.83, P = .01), income (aOR = 0.71, P = .04), residential care or nursing home (aOR = 2.62, P = .01), and generalized anxiety disorder (aOR = 2.38, P = .04). We identified multiple factors significantly associated with adherence to handwashing, masking, and social distancing. Most notably, older males had a significantly lower odds of practicing all three COVID-19 mitigation behaviors, and Black older adults had a significantly higher odds of masking (aOR = 7.94, P < .001) and social distancing (aOR = 2.33, P = .01).When prioritizing COVID-19 prevention efforts for older adults, risk factors that should be considered are race and ethnicity, income, residential setting, and anxiety. To effectively mitigate COVID-19 disease spread, public health professionals must also recognize sociodemographic and health factors may influence whether older adults adhere to handwashing, masking, and social distancing. 

https://doi.org/10.1016/j.puhe.2022.08.002

COVID-19 risk factors and predictors for handwashing, masking, and social distancing among a national prospective cohort of US older adults

Background The aim of this study is to explore whether high school students’ adherence to physical distancing was associated with health beliefs, social norms, and psychological factors during the coronavirus disease 2019 (COVID-19) pandemic. Methods Overall, 300 high school students participated in this anonymous online survey conducted from October 18–24, 2021. The survey included rating scales such as attitude toward physical distancing during the pandemic, Stress and Anxiety to Viral Epidemics-6 items (SAVE-6), Patient Health Questionnaire-9 items, Satisfaction with Life Scale, and Connor Davidson Resilience Scale 2-items. Results The results revealed that perceived susceptibility or severity (β = −0.13, P = 0.038), perceived benefit (β = 0.32, P < 0.001), descriptive social norms (β = 0.10, P = 0.041), social injunctive norms (β = 0.19, P < 0.001), and SAVE-6 (β = 0.24, P < 0.001) predicted students’ adherence to physical distancing (adjusted R2 = 0.42, F = 19.2, P < 0.001). Social injunctive norms and personal injunctive norms directly influenced adherence to physical distancing. Viral anxiety, measured by SAVE-6, mediated the association between social injunctive norms and adherence to physical distancing, and perceived benefits mediated the relationship between personal injunctive norms and adherence to physical distancing. The influence of perceived susceptibility or severity on adherence to physical distancing was entirely mediated by perceived benefits or viral anxiety. Conclusion Explaining the rationale or benefits of physical distancing may be important in increasing adherence to physical distancing among high school students.

https://doi.org/10.3346/jkms.2022.37.e129

Mediating Effect of Viral Anxiety and Perceived Benefits of Physical Distancing on Adherence to Distancing Among High School Students Amid COVID-19

Abstract Background Adults over 50 have high health care needs but also face high coronavirus disease 2019 (COVID-19)-related vulnerability. This may result in a reluctance to enter public spaces, including health care settings. Here, we examined factors associated with health care delays among adults over 50 early in the COVID-19 pandemic. Methods Using data from the 2020 wave of the Health and Retirement Study (N = 7 615), we evaluated how race/ethnicity, age, geographic region, and pandemic-related factors were associated with health care delays. Results In our sample, 3 in 10 participants who were interviewed from March 2020 to June 2021 reported delays in medical or dental care in the early stages of the COVID-19 pandemic. Non-Hispanic Whites (odds ratio [OR]: 1.37; 95% confidence interval [CI]: 1.19–1.58) and those of other racial/ethnic backgrounds (OR: 1.31; 95% CI: 1.02–1.67) delayed care more than Non-Hispanic Blacks. Other factors associated with delayed care included younger age, living in the Midwest or West, knowing someone diagnosed with or who died from COVID-19, and having high COVID-19-related concerns. There were no differences in care delays among adults aged > 70; however, among those ≤ 70, those who knew someone diagnosed with COVID-19 were more likely to delay care than those who did not. Additionally, among those ≤ 70, Non-Hispanic Whites and those of other racial/ethnic backgrounds delayed care more than Non-Hispanic Blacks and Hispanics. Conclusions There is considerable heterogeneity in care delays among older adults based on age, race/ethnicity, and pandemic-related factors. As the pandemic continues, future studies should examine whether these patterns persist.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452159

Factors Associated With Health Care Delays Among Adults Over 50 During the COVID-19 Pandemic

Health varies by U.S. region of residence. Despite regional heterogeneity in the outbreak of COVID-19, regional differences in physical distancing behaviors over time are relatively unknown. This study examines regional variation in physical distancing trends during the COVID-19 pandemic and investigates variation by race and socioeconomic status (SES) within regions. Data from the 2015-2019 five-year American Community Survey were matched with anonymized location pings data from over 20 million mobile devices (SafeGraph, Inc.) at the Census block group level. We visually present trends in the stay-at-home proportion by Census region, race, and SES throughout 2020 and conduct regression analyses to examine these patterns. From March to December, the stay-at-home proportion was highest in the Northeast (0.25 in March to 0.35 in December) and lowest in the South (0.24 to 0.30). Across all regions, the stay-at-home proportion was higher in block groups with a higher percentage of Blacks, as Blacks disproportionately live in urban areas where stay-at-home rates were higher (0.009 [CI: 0.008, 0.009]). In the South, West, and Midwest, higher-SES block groups stayed home at the lowest rates pre-pandemic; however, this trend reversed throughout March before converging in the months following. In the Northeast, lower-SES block groups stayed home at comparable rates to higher-SES block groups during the height of the pandemic but diverged in the months following. Differences in physical distancing behaviors exist across U.S. regions, with a pronounced Southern and rural disadvantage. Results can be used to guide reopening and COVID-19 mitigation plans.

U.S. regional differences in physical distancing: Evaluating racial and socioeconomic divides during the COVID-19 pandemic.

Who has room for error? The effects of political scandal for minority candidates

Objectives To identify and examine heterogeneous trajectories of general health status (GHS) and depressive symptoms (DS) among persons with cognitive impairment (PCIs). Methods: We use group-based trajectory models to study 2361 PCIs for GHS and 1927 PCIs for DS from the National Health and Aging Trends Survey 2011–2018, and apply multinomial logistic regressions to predict identified latent trajectory group memberships using individual characteristics. Results: For both GHS and DS, there were six groups of PCIs with distinct trajectories over a 7-year period. More than 40% PCIs experienced sharp declines in GHS, and 35.5% experienced persistently poor GHS. There was greater heterogeneity in DS trajectories with 55% PCIs experiencing improvement, 16.4% experiencing persistently high DS, and 30.5% experiencing deterioration. Discussion: The GHS trajectories illustrate the heavy burden of poor and declining health among PCIs. Further research is needed to understand the factors underlying stable or improving DS despite declining GHS

Trajectories of General Health Status and Depressive Symptoms Among Persons With Cognitive Impairment in the United States

Health varies by U.S. region of residence. Despite regional heterogeneity in the outbreak of COVID-19, regional differences in physical distancing behaviors over time are relatively unknown. This study examines regional variation in physical distancing trends during the COVID-19 pandemic and investigates variation by race and socioeconomic status (SES) within regions. Data from the 2015-2019 five-year American Community Survey were matched with anonymized location pings data from over 20 million mobile devices (SafeGraph, Inc.) at the Census block group level. We visually present trends in the stay-at-home proportion by Census region, race, and SES throughout 2020 and conduct regression analyses to statistically examine these patterns. From March to December, the stay-at-home proportion was highest in the Northeast (0.25 in March to 0.35 in December) and lowest in the South (0.24 to 0.30). Across all regions, the stay-at-home proportion was higher in block groups with a higher percentage of Blacks, as Blacks disproportionately live in urban areas where stay-at-home rates were higher (0.009 [CI: 0.008, 0.009]). In the South, West, and Midwest, higher-SES block groups stayed home at the lowest rates pre-pandemic; however, this trend reversed throughout March before converging in the months following. In the Northeast, lower-SES block groups stayed home at comparable rates to higher-SES block groups during the height of the pandemic but diverged in the months following. Differences in physical distancing behaviors exist across U.S. regions, with a pronounced Southern and rural disadvantage. Results can be used to guide reopening and COVID-19 mitigation plans.

/pdf/u-s-regional-differences-in-physical-distancing-evaluating-4nyh6ju70l.pdf

Christina Pao

Papers

U.S. regional differences in physical distancing: Evaluating racial and socioeconomic divides during the COVID-19 pandemic.

Who has room for error? The effects of political scandal for minority candidates

Trajectories of General Health Status and Depressive Symptoms Among Persons With Cognitive Impairment in the United States

U.S. Regional Differences in Physical Distancing: Evaluating Racial and Socioeconomic Divides During the COVID-19 Pandemic