Income variability and incident cardiovascular disease in diabetes: a population-based cohort study.

BACKGROUND AND AIMS: Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D). METHODS: Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30-64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders. RESULTS: High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22-1.27; Ptrend < .001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35-1.41; Ptrend < .0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70-0.72; Ptrend < .0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results. CONCLUSIONS: Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D.

Mid- and long-term risk of atrial fibrillation among breast cancer surgery survivors.

BACKGROUND: The risk of incident atrial fibrillation (AF) among breast cancer survivors, especially for younger women, and cancer treatment effects on the association remain unclear. This study aimed to investigate the risk of AF among breast cancer survivors and evaluate the association by age group, length of follow-up, and cancer treatment. METHODS: Using data from the Korean Health Insurance Service database (2010-2017), 113,232 women newly diagnosed with breast cancer (aged ≥ 18 years) without prior AF history who underwent breast cancer surgery were individually matched 1:5 by birth year to a sample female population without cancer (n = 566,160) (mean[SD] follow-up, 5.1[2.1] years). Sub-distribution hazard ratios (sHRs) and 95% confidence intervals (CIs) considering death as a competing risk were estimated, adjusting for sociodemographic factors and cardiovascular/non-cardiovascular comorbidities. RESULTS: BCS had a slightly increased AF risk compared to their cancer-free counterparts (sHR 1.06; 95% CI 1.00-1.13), but the association disappeared over time. Younger BCS (age < 40 years) had more than a 2-fold increase in AF risk (sHR 2.79; 95% CI 1.98-3.94), with the association remaining similar over 5 years of follow-up. The increased risk was not observed among older BCS, especially those aged > 65 years. Use of anthracyclines was associated with increased AF risk among BCS (sHR 1.57; 95% CI 1.28-1.92), which was more robust in younger BCS (sHR 1.94; 95% CI 1.40-2.69 in those aged ≤ 50 years). CONCLUSIONS: Our findings suggest that younger BCS had an elevated risk of incident AF, regardless of the length of follow-up. Use of anthracyclines may be associated with increased mid-to-long-term AF risk among BCS.

COVID-19 Vaccine Uptake Among Students in Public Institutions of Higher Education in Arkansas in 2021.

OBJECTIVE: Disparities in COVID-19 vaccine coverage among college students are not well studied. We analyzed the extent of COVID-19 vaccination among all students at public institutions of higher education in Arkansas in spring and fall 2021 and examined factors associated with vaccination rates. METHODS: We matched student enrollment data for the spring and fall 2021 semesters separately with immunization registry data to determine the COVID-19 vaccination status of students in each semester. We used multivariable logistic regression to determine variables associated with being fully vaccinated. RESULTS: Overall, by the end of the fall 2021 semester, 49.1% of students were fully vaccinated, compared with 52.3% of students at the end of the spring 2021 semester. However, we observed important differences between student groups. Students who were in rural areas (vs urban areas), freshman (vs all other class years), at a 2-year college (vs 4-year college), non-Hispanic Black (vs Hispanic or non-Hispanic White), or in a nonhealth major (vs health major) were less likely to be fully vaccinated. CONCLUSION: Given the disparities in COVID-19 vaccine coverage among college students, continued efforts are needed in this young, but important, population segment to address students' confidence in vaccines and to make vaccines more available and accessible on and near campuses. Novel approaches for tailored messaging and interventions to facilitate vaccine uptake may be needed for groups such as non-Hispanic Black students and students in rural areas who are less likely, compared with their counterparts, to accept COVID-19 vaccines.

Gender disparities in symptomology of COVID-19 among adults in Arkansas.

Only a few studies and reports assessing the natural history and symptomatology for COVID-19 by gender have been reported in literature to date. Thus, the objective of this study was to examine patterns in symptomology of COVID-19 by gender among a diverse adult population in Arkansas. Data on COVID-19 symptoms was collected at day of testing, 7th day and 14th day among participants at UAMS mobile testing units throughout the state of Arkansas. Diagnosis for SARS-CoV-2 infection was confirmed via nasopharyngeal swab and RT-PCR methods. Data analysis was conducted using Chi-square test and Poisson regression to assess the differences in characteristics by gender. A total of 60,648 community members and patients of Arkansas received RT-PCR testing. Among adults testing positive, we observed a statistically significant difference for fever (p < 0.001) and chills (p = 0.04). Males were more likely to report having a fever (22.6% vs. 17.1%; p < 0.001) and chills (14.9% vs. 12.6%; p = 0.04) compared to females. Among adults testing negative, females were more likely to report each symptom than males. To conclude, we observed a greater prevalence of certain symptoms such as fever and chills among men testing positive for COVID-19, compared to women during the time of testing. These differences elucidate the important issue of rapidly emerging health disparities during the COVID-19 pandemic.

A longitudinal study of SARS-CoV-2 antibody seroprevalence and mitigation behaviors among college students at an Arkansas University.

Objective: Assess university students' SARS-CoV-2 antibody seroprevalence and mitigation behaviors over time. Participants: Randomly selected college students (N = 344) in a predominantly rural Southern state. Methods: Participants provided blood samples and completed self-administered questionnaires at three timepoints over the academic year. Adjusted odds ratios and 95% confidence intervals were estimated from logistic regression analyses. Results: SARS-CoV-2 antibody seroprevalence was 18.2% in September 2020, 13.1% in December, and 45.5% in March 2021 (21% for those with no vaccination history). SARS-CoV-2 antibody seroprevalence was associated with large social gatherings, staying local during the summer break, symptoms of fatigue or rhinitis, Greek affiliation, attending Greek events, employment, and using social media as the primary COVID-19 information source. In March 2021, seroprevalence was associated with receiving at least one dose of a COVID-19 vaccination. Conclusion: SARS-CoV-2 seroprevalence was higher in this population of college students than previous studies. Results can assist leaders in making informed decisions as new variants threaten college campuses.

Do regional labor market conditions matter for temporary work disability duration? A multilevel analysis of workers' compensation claims in five Canadian provinces.

BACKGROUND: Research has shown how regionally varying labor market conditions are associated with differences in work disability duration. However, the majority of these studies have not used multilevel models to appropriately account for the hierarchical clustering of individuals nested within contextual units (e.g., regions). Studies that have used multilevel models have focused on privately insured workers or on disability not specifically caused by work-related injury or illness. METHODS: Using claims data from five Canadian provincial workers' compensation systems, linear random-intercept models were used to estimate how much variance in temporary work disability duration ('work disability duration' for brevity) for work-related injuries and musculoskeletal disorders was due to differences between economic regions, what economic region-level labor market characteristics were associated with work disability duration, and what characteristics best explained economic region differences in work disability duration. RESULTS: Economic region characteristics, such as the unemployment rate and proportion of goods-producing employment, were independently associated with individual-level work disability duration. However, economic region variation only accounted for 1.5%-2% of total variation in work disability duration. The majority (71%) of economic region-level variation was explained by the provincial jurisdiction where the worker lived and was injured. Regional variation tended to be greater for female workers than males. CONCLUSIONS: The findings suggest that while regional labor market conditions matter for work disability duration, system-level differences in workers' compensation and health care are more important factors influencing work disability duration. Furthermore, while this study includes both temporary and permanent disability claims, the work disability duration measure only captures temporary disability.

Establishing General Working Population Norms for the Cognitive Symptom Checklist-Work.

PURPOSE: The Cognitive Symptom Checklist-Work (CSC-W) is a self-report measure to assess cognitive symptoms (i.e., memory and executive function) in working adults with cancer. To date, general working population norm data are lacking worldwide. We established CSC-W norm values in the general working population, and assessed associations of CSC-W scores with work and health-related factors. METHODS: This cross-sectional study consisted of 1,000 Dutch working adults, of whom data was collected through an online respondent panel. The sample was stratified for sex and age, and data were weighted. Summary scores of the CSC-W total scale, and memory and executive function symptoms subscales, were determined (e.g., means, percentiles). Z- and T-scores were calculated, and analysis of (co)variance has been applied. RESULTS: Cognitive symptom scores were relatively stable across age groups, but 18-39-year-old respondents reported lower memory and executive function than respondents in other age groups. Symptom scores of memory function (mean 29.1; SD = 16.7) were higher for all age groups and in both sexes compared to executive function (mean 22.1; SD = 16.8). No sex differences in memory and executive function were observed. Higher symptom scores were associated with performing non-manual work only, manual work only, self-reported long-term illness, and higher levels of depressive symptoms and fatigue. CONCLUSION: The CSC-W norms may enhance the interpretation and facilitate the analysis of self-reported cognitive symptoms in patients with cancer at work. Our findings may support health care professionals in identifying working adults with cancer with cognitive symptoms and in developing personalized treatment.

Single and cumulative exposure to psychosocial work conditions and mental health among young adults.

BACKGROUND: The consequences of a single point-in-time compared to cumulative exposure to psychosocial work conditions (PWCs) for young adults' mental health have received relatively little attention. This study investigates (i) the associations between single and cumulative exposure to adverse PWCs at ages 22 and 26 with mental health problems (MHPs) among young adults at age 29 and (ii) the effect of early life MHPs on MHPs at age 29. METHODS: Data were used from 362 participants in the TRacking Adolescents' Individual Lives Survey (TRAILS), a Dutch prospective cohort study with 18-year follow-up. PWCs were assessed at ages 22 and 26 with the Copenhagen Psychosocial Questionnaire. Internalizing (i.e. depressive and somatic complaints, anxiety) and externalizing MHPs (i.e. aggressive and rule-breaking behaviour) were measured by the Youth/Adult Self-Report at ages 11, 13, 16, 19, 22 and 29. Regression analyses were conducted to examine the associations between single and cumulative exposure to PWCs and MHPs. RESULTS: Single exposure to high work demands at ages 22 or 26 and high-strain jobs at age 22 were associated with internalizing problems at age 29; the association attenuated after adjustment for early life internalizing problems but remained significant. No associations were found between cumulative exposures and internalizing problems. No associations were found between single or cumulative exposures to PWCs and externalizing problems at age 29. CONCLUSIONS: In view of the mental health burden in working populations our findings call for early implementation of programmes targeting both work demands and MHPs to keep young adults working.

Trajectories of cognitive symptoms and associated factors in cancer survivors after return to work: an 18-month longitudinal cohort study.

PURPOSE: Cognitive symptoms affect cancer survivors' functioning at work. To date, cognitive symptoms trajectories in working cancer survivors and the factors associated with these trajectories have not been examined. METHODS: Data from a heterogeneous group of working cancer survivors (n = 379) of the longitudinal "Work-Life-after-Cancer" study, linked with Netherlands Cancer Registry data, were used. The Cognitive Symptom Checklist-Work was administered at baseline (within the first 3 months after return to work), 6-, 12-, and 18-month follow-up to measure self-perceived memory and executive function symptoms. Data were analyzed using group-based trajectory modeling. RESULTS: Four trajectories of memory and executive function symptoms were identified. All memory symptoms trajectories were stable and labeled as "stable-high" (15.3% of the sample), "stable-moderately high" (39.6%), "stable-moderately low" (32.0%), and "stable-low" (13.0%). Executive function symptoms trajectories changed over time and were labeled as "increasing-high" (10.1%), "stable-moderately high" (32.0%), "decreasing-moderately low" (35.5%), and "stable-low" (22.4%). Higher symptoms trajectories were associated with older age, longer time from diagnosis to return to work, more quantitative work demands, and higher levels of depressive symptoms at baseline. CONCLUSIONS: In cancer survivors who returned to work, four cognitive symptoms trajectory subgroups were identified, representing different but relatively stable severity levels of cognitive symptoms. IMPLICATIONS FOR CANCER SURVIVORS: To identify cancer survivors with higher symptoms trajectories, health care providers should assess cognitive symptoms at baseline after return to work. In case of cognitive symptoms, it is important to also screen for psychological factors to provide appropriate guidance.

Physical Activity as a Mediator for Health Outcomes Among Sexual Minority Adults.

Purpose: This study aimed to examine physical activity (PA) as a protective measure of health outcomes among sexual minority (SM) and heterosexual adults. Methods: Using data from the 2018 National Health Interview Survey, differences in key health outcomes between three groups (heterosexual, SM, and "other") and the mediating effects of PA were explored. Chi-square tests were used to examine group differences. Multinomial logistic regression models were fit to examine associations between PA and health outcomes (body mass index [BMI], psychological distress, health status, and use of alcohol, cigarettes, and e-cigarettes). Results: Compared with heterosexual respondents, "other" adults had higher levels of BMI above 24.9 and were less active; SM respondents had elevated levels of alcohol use, smoking, binge drinking, and psychological distress, and reported worse overall health status. Unadjusted models showed that PA served as a protective factor for BMI above 30 and health status for all groups. PA was also protective for BMI below or above 18.5-24.9, smoking, psychological distress, and health status for both heterosexual and SM groups. Alternatively, PA behaved as a risk factor for alcohol use and binge drinking for all groups. Adjusted modeling removed PA as a risk factor for light alcohol use and binge drinking for SM respondents and added a protective factor for e-cigarette use for heterosexual respondents. Conclusion: This study adds to current literature on health disparities affecting SM populations and the health benefits associated with PA. Further research is needed to explore tailored PA intervention for SM populations and those who mark "other," "something else," "don't know," or refuse to answer questions on sexual orientation.

Analysis of COVID-19 Pandemic on Supplement Usage and Its Combination with Self-Medication within the State of Arkansas.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus responsible for the COVID-19 pandemic that can lead to severe respiratory distress requiring hospitalization and can be fatal. Media have reported that various dietary supplements (DS) or their combination with different medications can prevent infection or decrease disease severity. Here, we analyzed data collected from 15,830 patient follow-up telephone interviews from the University of Arkansas for Medical Sciences COVID-19 testing sites from March 15 to August 1, 2020. Within the REDCap database, we recorded patient demographics and DS and medication use. In total, data on DS and medication use was available for 8,150 study participants, of whom 21.9% and 4.1% reported using DS or medications, respectively, to either prevent or treat COVID-19. The majority of respondents were female (64%) and non-Hispanic whites (44.5%). Most individuals (64.5%) who took DS were younger than 50 years of age. Products such as vitamin C (1,013, 33.2%), multivitamins (722, 23.6%), and vitamin D (294, 9.6%) were the most commonly used DS among the responders. Analysis of the DS use and symptom scores association did not provide a strong evidence of beneficial health effects of DS. The results of this study demonstrate that a significantly higher proportion of study participants considered usage of DS to mitigate or prevent COVID-19-related symptoms compared to those who preferred medications. However, lack of observable health benefits associated with ingestion of DS suggests that more rigorous research is needed to substantiate the label claims.

Characterizing Cancer and Work Disparities Using Electronic Health Records.

Advancements in cancer diagnosis and treatment have resulted in improvements in survivor outcomes; however, cancer survivors are more likely to experience adverse employment outcomes such as job loss, reduced working hours, and early retirement. The purpose of this study was to examine employment disparities among cancer survivors. Our study collected data from 29,136 cancer survivors (ages 18-65) between 2015 and 2021 using electronic health records (EHR) and linked to cancer registry data. Of those with employment information (n = 7296), differences in employment status were explored by race, ethnicity, sex, geography, marital status, education, age, and cancer site. Of the patients with employment status available, 61% were employed, 28% were not employed, 9% were disabled, 2% were retired. Logistic regression results revealed adjusted effects: a positive association between employment and marriage, while racial and ethnic minority adults, rurality, and certain age categories were less likely to be employed. Unadjusted results showed a positive association between employment and education. These results contribute to an emerging body of literature showing adverse employment outcomes for cancer survivors.

Evaluation of measurement properties of the German Work Role Functioning Questionnaire.

OBJECTIVE: We assessed the measurement properties of the German Work Role Functioning Questionnaire (WRFQ) after its cross-cultural adaptation of the Dutch version. The WRFQ is a generic role-specific instrument that measures how a particular health status influences the ability to meet work demands. METHODS: We performed an observational study among German employees assessing the following measurement properties: 1) structural, 2) convergent and 3) discriminant validity, 4) floor and ceiling effects, 5) internal consistency, 6) reproducibility and 7) responsiveness. Participants were recruited from an online access panel sample aged 18 to 64 years having worked more than 12 hours in the last 4 weeks prior to study enrollment (n(T0) = 653, n(T1) = 66, n(T2) = 95). RESULTS: Measurement properties proved to be good except for structural validity and responsiveness. An exploratory factor analysis showed limited replicability of three of the four original subscales. CONCLUSION: With the WRFQ German version, the extent can be measured, to which employees with a certain health level experience problems can meet their work demands. This widely used health-related work outcome measurement tool, that helps to identify employees with decreasing work functioning, is now also available in German. This gives researchers and practitioners the opportunity to address work functioning in practice, e.g. in intervention studies in occupational health or rehabilitation. Further research to examine valid subscales is needed.

Assessing the Australian occupational driver behavior questionnaire in U.S. taxi drivers: Different country, different occupation and different worker population.

BACKGROUND: Promoting safe driver behaviors is an important aspect of road safety. To better understand road safety behaviors, there is a role for practical instruments that can validly measure typical road safety behaviors among occupational drivers. The Occupational Driver Behavior Questionnaire (ODBQ) was developed to assess road safety behaviors among home health nurses in Australia. METHODS: We administered a cross-sectional survey to a sample of taxi drivers in two U.S. metropolitan areas. The survey included Newnam's ODBQ-12 and a study-specific 15-item version (ODBQ-15) assessing 4 different road safety behaviors with 3 more items added and motor-vehicle crashes in the past year. Logistic regression analyses examined the association of the road safety behaviors with motor vehicle crashes. A series of confirmatory factor analysis (CFA) models assessed the construct validity of the ODBQ-12 and ODBQ-15. RESULTS: We pooled survey data from 497 Houston drivers and 500 Los Angeles drivers to assess study aims. CFA models examining the 12-item and the 15-item ODBQ versions had good model fit (Comparative Fit Index > 0.95, Tucker Lewis Index ≥ 0.95, root mean square error of approximation < 0.06, standardized root mean square residual ≤ 0.05). The ODBQ's road safety behaviors were significantly associated (p < 0.001) with crashes while working (ORs 0.51-0.75) and not working (ORs 0.57-0.84). CONCLUSIONS: The ODBQ-12 and ODBQ-15 were both significantly associated with motor vehicle crashes among taxicab drivers in two large U.S. metropolitan areas. Researchers studying occupational drivers who transport passengers may want to consider using the ODBQ-15. The 3 additional items are meaningful to this workforce and are priority areas for international road safety efforts.

Adjustment to the COVID-19 pandemic: associations with global and situational meaning.

COVID-19 has created pervasive upheaval and uncertainty in communities around the world. This investigation evaluated associations between discrete dimensions of personal meaning and psychological adjustment to the pandemic among community residents in a southern US state. In this cross-sectional study, 544 respondents were assessed during a period of reopening but accelerating infection rates. Validated measures were used to evaluate theoretically distinct dimensions of perceived global meaning (Meaning-in-Life Questionnaire) and pandemic-specific meaning (Meaning in Illness Scale). Adjustment outcomes included perceived stress, pandemic-related helplessness, and acceptance of the pandemic. In multivariate models that controlled for demographic and pandemic-related factors, stronger attained global meaning (i.e., perceptions that life is generally meaningful) and attained situational meaning (i.e., perceptions that the pandemic experience was comprehensible) were related to better adjustment on all three outcomes (all p's < .001). In contrast, seeking situational meaning (i.e., ongoing efforts to find coherence in the situation) was associated with poorer adjustment on all indices (all p's < .001). Results offer novel information regarding theoretically salient dimensions of meaning, which may have direct relevance for understanding how community residents adapt to the challenges of a major public health crisis.

Mission, Organization, and Future Direction of the Serological Sciences Network for COVID-19 (SeroNet) Epidemiologic Cohort Studies.

Background: Global efforts are needed to elucidate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the underlying cause of coronavirus disease 2019 (COVID-19), including seroprevalence, risk factors, and long-term sequelae, as well as immune responses after vaccination across populations and the social dimensions of prevention and treatment strategies. Methods: In the United States, the National Cancer Institute in partnership with the National Institute of Allergy and Infectious Diseases, established the SARS-CoV-2 Serological Sciences Network (SeroNet) as the nation's largest coordinated effort to study coronavirus disease 2019. The network comprises multidisciplinary researchers bridging gaps and fostering collaborations among immunologists, epidemiologists, virologists, clinicians and clinical laboratories, social and behavioral scientists, policymakers, data scientists, and community members. In total, 49 institutions form the SeroNet consortium to study individuals with cancer, autoimmune disease, inflammatory bowel diseases, cardiovascular diseases, human immunodeficiency virus, transplant recipients, as well as otherwise healthy pregnant women, children, college students, and high-risk occupational workers (including healthcare workers and first responders). Results: Several studies focus on underrepresented populations, including ethnic minorities and rural communities. To support integrative data analyses across SeroNet studies, efforts are underway to define common data elements for standardized serology measurements, cellular and molecular assays, self-reported data, treatment, and clinical outcomes. Conclusions: In this paper, we discuss the overarching framework for SeroNet epidemiology studies, critical research questions under investigation, and data accessibility for the worldwide scientific community. Lessons learned will help inform preparedness and responsiveness to future emerging diseases.

Temporal Variations in Seroprevalence of Severe Acute Respiratory Syndrome Coronavirus 2 Infections by Race and Ethnicity in Arkansas.

Background: The aim of this study was to estimate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in the small rural state of Arkansas, using SARS-CoV-2 antibody prevalence as an indicator of infection. Methods: We collected residual serum samples from adult outpatients seen at hospitals or clinics in Arkansas for non-coronavirus disease 2019 (COVID-19)-related reasons. A total of 5804 samples were identified over 3 time periods: 15 August-5 September 2020 (time period 1), 12 September-24 October 2020 (time period 2), and 7 November-19 December 2020 (time period 3). Results: The age-, sex-, race-, and ethnicity-standardized SARS-CoV-2 seroprevalence during each period, from 2.6% in time period 1 to 4.1% in time period 2 and 7.4% in time period 3. No statistically significant difference in seroprevalence was found based on age, sex, or residence (urban vs rural). However, we found higher seroprevalence rates in each time period for Hispanics (17.6%, 20.6%, and 23.4%, respectively) and non-Hispanic Blacks (4.8%, 5.4%, and 8.9%, respectively) relative to non-Hispanic Whites (1.1%, 2.6%, and 5.5%, respectively). Conclusions: Our data imply that the number of Arkansas residents infected with SARS-CoV-2 rose steadily from 2.6% in August to 7.4% in December 2020. There was no statistical difference in seroprevalence between rural and urban locales. Hispanics and Blacks had higher rates of SARS-CoV-2 antibodies than Whites, indicating that SARS-CoV-2 spread disproportionately in racial and ethnic minorities during the first year of the COVID-19 pandemic.

Racial disparities in symptomatology and outcomes of COVID-19 among adults of Arkansas.

Few reports have suggested that non-Hispanic (NH) blacks may present with different symptoms for COVID-19 than NH-whites. The objective of this study was to investigate patterns in symptomatology and COVID-19 outcomes by race/ethnicity among adults in Arkansas. Data on COVID-19 symptoms were collected on day of testing, 7th and 14th day among participants at UAMS mobile testing units throughout the state of Arkansas. Diagnosis for SARS-CoV-2 infection was confirmed via nasopharyngeal swab and RT-PCR methods. Data analysis was conducted using Chi-square test and Poisson regression to assess the differences in characteristics by race/ethnicity. A total of 60,648 individuals were RT-PCR tested from March 29, 2020 through October 7, 2020. Among adults testing positive, except shortness of breath, Hispanics were more likely to report all symptoms than NH-whites or NH-blacks. NH-whites were more likely to report fever (19.6% vs. 16.6%), cough (27.5% vs. 26.1%), shortness of breath (13.6% vs. 9.6%), sore throat (16.7% vs. 10.7%), chills (12.5% vs. 11.8%), muscle pain (15.6% vs. 12.4%), and headache (20.3% vs. 17.8%). NH-blacks were more likely to report loss of taste/smell (10.9% vs. 10.6%). To conclude, we found differences in COVID-19 symptoms by race/ethnicity, with NH-blacks and Hispanics more often affected with specific or all symptoms, compared to NH-whites. Due to the cross-sectional study design, these findings do not necessarily reflect biological differences by race/ethnicity; however, they suggest that certain race/ethnicities may have underlying differences in health status that impact COVID-19 outcomes.

State-wide random seroprevalence survey of SARS-CoV-2 past infection in a southern US State, 2020.

The purpose of this cross-sectional study was to estimate the proportion of Arkansas residents who were infected with the SARS-CoV-2 virus between May and December 2020 and to assess the determinants of infection. To estimate seroprevalence, a state-wide population-based random-digit dial sample of non-institutionalized adults in Arkansas was surveyed. Exposures were age, sex, race/ethnicity, education, occupation, contact with infected persons, comorbidities, height, and weight. The outcome was past COVID-19 infection measured by serum antibody test. We found a prevalence of 15.1% (95% CI: 11.1%, 20.2%) by December 2020. Seropositivity was significantly elevated among participants who were non-Hispanic Black, Hispanic (prevalence ratio [PRs]:1.4 [95% CI: 0.8, 2.4] and 2.3 [95% CI: 1.3, 4.0], respectively), worked in high-demand essential services (PR: 2.5 [95% CI: 1.5, 4.1]), did not have a college degree (PR: 1.6 [95% CI: 1.0, 2.4]), had an infected household or extra-household contact (PRs: 4.7 [95% CI: 2.1, 10.1] and 2.6 [95% CI: 1.2, 5.7], respectively), and were contacted in November or December (PR: 3.6 [95% CI: 1.9, 6.9]). Our results indicate that by December 2020, one out six persons in Arkansas had a past SARS-CoV-2 infection.

SARS-CoV-2 Incidence in K-12 School Districts with Mask-Required Versus Mask-Optional Policies - Arkansas, August-October 2021.

Masks are effective at limiting transmission of SARS-CoV-2, the virus that causes COVID-19 (1), but the impact of policies requiring masks in school settings has not been widely evaluated (2-4). During fall 2021, some school districts in Arkansas implemented policies requiring masks for students in kindergarten through grade 12 (K-12). To identify any association between mask policies and COVID-19 incidence, weekly school-associated COVID-19 incidence in school districts with full or partial mask requirements was compared with incidence in districts without mask requirements during August 23-October 16, 2021. Three analyses were performed: 1) incidence rate ratios (IRRs) were calculated comparing districts with full mask requirements (universal mask requirement for all students and staff members) or partial mask requirements (e.g., masks required in certain settings, among certain populations, or if specific criteria could not be met) with school districts with no mask requirement; 2) ratios of observed-to-expected numbers of cases, by district were calculated; and 3) incidence in districts that switched from no mask requirement to any mask requirement were compared before and after implementation of the mask policy. Mean weekly district-level attack rates were 92-359 per 100,000 persons in the community* and 137-745 per 100,000 among students and staff members; mean student and staff member vaccination coverage ranged from 13.5% to 18.6%. Multivariable adjusted IRRs, which included adjustment for vaccination coverage, indicated that districts with full mask requirements had 23% lower COVID-19 incidence among students and staff members compared with school districts with no mask requirements. Observed-to-expected ratios for full and partial mask policies were lower than ratios for districts with no mask policy but were slightly higher for districts with partial policies than for those with full mask policies. Among districts that switched from no mask requirement to any mask requirement (full or partial), incidence among students and staff members decreased by 479.7 per 100,000 (p<0.01) upon implementation of the mask policy. In areas with high COVID-19 community levels, masks are an important part of a multicomponent prevention strategy in K-12 settings (5).