The promise and challenges of multi-cancer early detection assays for reducing cancer disparities.

Since improvements in cancer screening, diagnosis, and therapeutics, cancer disparities have existed. Marginalized populations (e.g., racial and ethnic minorities, sexual and gender minorities, lower-income individuals, those living in rural areas, and persons living with disabilities) have worse cancer-related outcomes. Early detection of cancer substantially improves outcomes, yet uptake of recommended cancer screenings varies widely. Multi-cancer early detection (MCED) tests use biomarkers in the blood to detect two or more cancers in a single assay. These assays show potential for population screening for some cancers-including those disproportionally affecting marginalized communities. MCEDs may also reduce access barriers to early detection, a primary factor in cancer-related outcome disparities. However, for the promise of MCEDs to be realized, during their development and testing, we are obligated to be cautious to design them in a way that reduces the myriad of structural, systematic, and personal barriers contributing to disparities. Further, they must not create new barriers. Population studies and clinical trials should include diverse populations, and tests must work equally well in all populations. The tests must be affordable. It is critical that we establish trust within marginalized communities, the healthcare system, and the MCED tests themselves. Tests should be expected to have high specificity, as a positive MCED finding will trigger additional, oftentimes invasive and expensive, imaging or other diagnosis tests and/or biopsies. Finally, there should be a way to help all individuals with a positive test to navigate the system for follow-up diagnostics and treatment, if warranted, that is accessible to all.

Impact of the COVID-19 Pandemic on Physical Activity among Mostly Older, Overweight Black Women Living in the Rural Alabama Black Belt.

Despite well-documented global declines in physical activity (PA) during the COVID-19 pandemic, little is known regarding the specific impact among underserved, rural Alabama counties. This is concerning as this region was already disproportionately burdened by inactivity and related chronic diseases and was among the hardest hit by COVID-19. Thus, the current study examined the effect of COVID-19 on PA in four rural Alabama counties. An ancillary survey was administered between March 2020 and August 2021 to the first cohort (N = 171) of participants enrolled in a larger PA trial. Main outcomes of this survey included the perceived impact of COVID-19 on PA, leisure-time PA, and social cognitive theory (SCT) constructs at 3 months. Almost half of the participants reported being less active during the pandemic (49.7%) and endorsed that COVID-19 made PA more difficult (47.4%), citing concerns such as getting sick from exercising outside of the home (70.4%) and discomfort wearing a face mask while exercising (58%). Perceived COVID-19 impact on PA was significantly associated with education, household dependents, and gender (p's < 0.05). More women, parents, and college graduates reported that the COVID-19 pandemic made PA more difficult. Overall, there were no significant associations between PA, SCT constructs, or perceived COVID-19 impact on PA scores at 3 months. While the pandemic made PA difficult for many participants, these barriers were not associated with leisure-time PA levels or related theoretical mechanisms of action, which bodes well for the success of our ongoing intervention efforts and the resiliency of these communities.

Cultural Sensitivity and Cultural Tailoring: Lessons Learned and Refinements After Two Decades of Incorporating Culture in Health Communication Research.

In this article, we examine progress and challenges in designing, implementing, and evaluating culturally sensitive behavioral interventions by tailoring health communication to groups or individuals. After defining common tailoring constructs (i.e., culture, race, and ethnicity), cultural sensitivity, and cultural tailoring, we examine when it is useful to culturally tailor and address cultural sensitivity in health communication by group tailoring or individual tailoring and when tailoring health communication may not be necessary or appropriate for achieving behavior change. After reviewing selected approaches to cultural tailoring, we critique the quality of research in this domain with a focus on the internal validity of empirical findings. Then we explore the ways in which cultural sensitivity, group targeting, and individual tailoring have incorporated culture in health promotion and health communication. We conclude by articulating yet unanswered questions and suggesting future directions to move the field forward. Expected final online publication date for the Annual Review of Public Health, Volume 45 is April 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Community and Systems Contributors and Strategies to Reduce Racial Inequities in Maternal Health in the Deep South: Provider Perspectives.

Purpose: Black pregnant individuals in Alabama are disproportionately affected by severe maternal morbidity and mortality (SMM). To understand why racial disparities in maternal health outcomes persist and identify potential strategies to reduce these inequities, we sought perspectives from obstetric health care providers, health administrators, and members of local organizations who provide pregnancy, delivery, and postpartum care services in Alabama. Methods: We conducted qualitative in-depth interviews with stakeholders (n=20), purposively recruited from community-based organizations, clinical settings, government organizations, and academic institutions. Interview guides were based on Howell's conceptual model of pathways to racial disparities in maternal mortality. Data were coded using a modified framework theory approach and analyzed thematically. Results: Racism, unjust laws and policies, and poverty/lack of infrastructure in communities emerged as major themes contributing to racial disparities in maternal health at the community and systems levels. Inadequate health insurance coverage was described as a strong driver of the disparities. Service providers suggested strategies for Alabama should be community focused, evidence based, and culturally sensitive. These should include Medicaid expansion, expanded parental leave, and removal of laws restricting choice. Community- and systems-level interventions should include community infrastructure improvements, choice in maternity services, and provision of digital communication options. Conclusions: Providers shared perspectives on community and structural areas of intervention to reduce racial inequities in SMM. These results can inform discussions with health system and community partners about Alabama and other Deep South initiatives to improve maternal health outcomes in black communities.

Contribution of Health Care Practitioner and Maternity Services Factors to Racial Disparities in Alabama: A Qualitative Study.

OBJECTIVE: Black patients are three times more likely to die of pregnancy-related causes than White patients in the United States, and Alabama has the third worst maternal mortality rate in the nation. We sought to identify health care practitioner and maternity service factors contributing to disparities in Alabama, as well as potential strategies to address these contributors. METHODS: We conducted key informant interviews with obstetricians, nurses, doulas, lactation counselors, health system administrators, and representatives of professional organizations who deliver maternity care to racially and ethnically diverse patients in Alabama. The interview guide was developed using Howell's conceptual framework on racial and ethnic disparities in severe maternal morbidity and mortality. Adopting a thematic analysis approach, we coded and analyzed transcripts using NVivo 12 software. Open coding and selective coding were conducted to identify themes related to health care practitioner- and maternity services-level determinants. RESULTS: Overall, 20 health care practitioners or administrators were interviewed. Primary themes related to health care practitioners included implicit bias and explicit racism, lack of communication and lack of positive patient-health care practitioner relationships, lack of cultural sensitivity, and variation in clinical knowledge and experience. Primary themes related to maternity services included lack of accessibility, inadequate quality and content of care, lack of continuity of care, discriminatory facility policies, and workforce shortages and lack of diversity. Strategies suggested by participants to address these factors included bias trainings for health care practitioners, improvements in racial and interdisciplinary diversity in the maternity workforce, and evidence-based interventions such as group prenatal care, disparities dashboards, simulation trainings, early warning signs criteria, and coordinated care. CONCLUSION: We gained diverse perspectives from health care practitioners and administrators on how maternity health care practitioner and maternity health services factors contribute to inequities in maternal health in Alabama. Strategies to address these contributing factors were multifaceted.

Melanoma Detection in Alaska Native, American Indian, Asian, Black, Hispanic, and Pacific Islander Patients in a Large Skin Cancer Screening Initiative.

This cohort study investigates patterns in melanoma detection in racial and ethnic minority populations as part of a large, primary care­based screening initiative.

Assessing the built environment, programs, and policies that support physical activity opportunities in the rural Deep South.

Disparities in physical activity (PA) exist in rural regions and prior research suggests environmental features and community resources likely contribute. It is important to identify the opportunities and barriers that influence activity to appropriately inform PA interventions in such areas. Thus, we assessed the built environment, programs and policies related to PA opportunity in six rural Alabama counties that were purposively selected to inform a PA randomized controlled trial. Assessments were conducted August 2020-May 2021 using the Rural Active Living Assessment. Town characteristics and recreational amenities were captured using the Town Wide Assessment (TWA). PA programs and policies were examined with the Program and Policy Assessment. Walkability was evaluated using the Street Segment Assessment (SSA). Using the scoring system (0-100), the overall TWA score was 49.67 (range: 22-73), indicating few schools within walking distance (≤5 miles of the town's center) and town-wide amenities (e.g., trails, water/recreational activities) for PA. The Program and Policy Assessment showed a paucity of programming and guidelines to support activity (overall average score of 24.67, [range: 22-73]). Only one county had a policy requiring walkways/bikeways in new public infrastructure projects. During assessment of 96 street segments, few pedestrian-friendly safety features [sidewalks (32%), crosswalks (19%), crossing signals (2%), and public lighting (21%)] were observed. Limited opportunities for PA (parks and playgrounds) were identified. Barriers such as few policies and safety features (crossing signals, speed bumps) were indicated as factors that should be addressed when developing PA interventions and informing future policy efforts.

Relationship Between Race and Gestational Weight Gain in Pregnancy and Early Life in the South Birth-Cohort Study.

OBJECTIVE: The goal of this study was to evaluate whether differences in gestational weight gain (GWG) and adverse perinatal outcomes exist for Black and White women who are overweight or have obesity (OW/OB) at entry to prenatal care. METHODS: We enrolled 183 pregnant women with BMI 25-45 kg/m2 (71% black, 29% white) prior to 14 weeks gestation. Data were collected on demographic, medical history, diet and physical activity during pregnancy. Relationships between race and maternal outcomes and infant outcomes were assessed using multivariable logistic regression models. RESULTS: The average age of pregnant women were 26 years (±4.8), with a mean BMI of 32.1 (±5.1) kg/m2 at the time of enrollment. At delivery, 60 women (33%) had GWG within Institute of Medicine recommendations and 69% had at least one comorbidity. No significant differences by race were found in GWG (in lbs) (11±7.5 vs. 11.4±7.3, p=0.2006) as well as other perinatal outcomes including maternal morbidity, LBW and PTB. Race differences were noted for gestational diabetes, total energy expenditure and average daily calorie intake, but these differences did not result in significant differences in GWG or maternal morbidity. CONCLUSION: The lack of racial differences in GWG and perinatal outcomes demonstrated in this study differs from prior literature and could potentially be attributed to small sample size. Findings suggest that race differences in GWG and perinatal outcomes may diminish for women with a BMI in the overweight or obese range at conception.

Using Community Health Advisors to Increase Lung Cancer Screening Awareness in the Black Belt: a Pilot Study.

Disease stage at the time of diagnosis is the most important determinant of prognosis for lung cancer. Despite demonstrated effectiveness of lung cancer screening (LCS) in reducing lung cancer mortality, early detection continues to elude populations with the highest risk for lung cancer death. Consistent with the national rate, current screening rate in Alabama is dismal at 4.2%. While public awareness of LCS may be a likely cause, there are no studies that have thoroughly evaluated current knowledge of LCS within the Deep South. Therefore, we measured LCS knowledge before and after receiving education delivered by community health advisors (CHAs) among high-risk individuals living in medically underserved communities of Alabama and to determine impact of psychological, demographic, health status, and cognitive factors on rate of lung cancer screening participation. Participants were recruited from one urban county and six rural Black Belt counties (characterized by poverty, rurality, unemployment, low educational attainment, and disproportionate lack of access to health services). One hundred individuals (i) aged between 55 and 80 years; (ii) currently smoke or have quit within the past 15 years; and (iii) have at least a total of 30-pack-year smoking history were recruited. Knowledge scores to assess lung cancer knowledge were calculated. Paired t-test was used to assess pre- and post-knowledge score improvement. Screening for lung cancer was modeled as a function of predisposed factors (age, gender, insurance, education, fatalism, smoking status, and history of family lung cancer). Average age was 62.94 (SD = 6.28), mostly female (54%); mostly current smokers (53%). Most participants (80.85%) reported no family history of cancer. Fatalism was low, with a majority of the participants disagreeing that a cancer diagnosis is pre-destined (67.7%) and that there are no treatments for lung cancer (88.66%). Overall, lung cancer knowledge increased significantly from baseline of 4.64 (SD = 2.37) to 7.61 (SD = 2.26). Of the 100 participants, 23 underwent screening due to lack of access to primary care providers and reluctance of PCPs to provide referral to LCS. Sixty-five percent of those who were screened reported no family history of lung cancer. Regression analysis revealed no significant association between risk factors and the decision to get screened by participants. Our study demonstrates that while CHA delivered education initiatives increases lung cancer screening knowledge, there are significant structural barriers that prohibit effective utilization of LCS which needs to be addressed.

Training and Dissemination of Lung Cancer Education Curriculum Among Community Health Advisors in the Deep South: a Program Evaluation.

Lung cancer is the leading cause of cancer mortality in the USA. In the rural Black Belt region of Alabama, high rates of lung cancer incidence and mortality coupled with disproportionate lack of access to health services stresses the need for navigating high risk and disproportionately affected groups towards successfully obtaining lung cancer screenings. We utilized our well-accepted Community Health Advisor (CHA) model for education and awareness. This study seeks to evaluate the results of the Alabama Lung Cancer Awareness, Screening, and Education (ALCASE) training on CHAs, program evaluation, and lessons learned. A total of 202 participants were eligible and enrolled for CHA training. One hundred thirty CHAs were included for the final analyses. Descriptive statistics were computed; differences in pre-test and post-test scores were compared across demographic characteristics of the participants using paired t-test/one-way ANOVA. Of the 130 CHAs, 46% were 65 years or older; 98% were African Americans, and 87% were female; 17% of participants were cancer survivors. The mean post-test scores were 2.2 points greater than mean pre-test scores, and the difference was significant (mean (SD): pre-test = 20.8 (2.8) versus post-test = 23 (2.2); p = 0.001). No notable difference in pre-test and post-test scores were observed by CHA's demographic characteristics except by their county of residence or work (p = 0.0019). We demonstrate the capability and value of successfully recruiting and training motivated community members to be able to serve educators to better reach medically underserved and historically excluded communities.

Relationship Between Neighborhood Socioeconomic Disadvantage and Severe Maternal Morbidity and Maternal Mortality.

Background: Rates of severe maternal morbidity and maternal mortality (SMM/MM) in the United States are rising. Disparities in SMM/MM persist by race, ethnicity and geography, and could partially be attributed to social determinants of health. Purpose: Utilizing data from the largest, statewide referral hospital in Alabama, we investigated the relationship between residence in disadvantaged neighborhoods and SMM/MM. Methods: Data on all pregnancies between 2010 and 2020 were included; SMM/MM cases were identified using CDC definitions. Area deprivation index (ADI) available at the census-block group was geographically linked to individual records and categorized using quintile cutoffs; higher ADI score indicated higher socioeconomic disadvantage. Generalized estimating equation models were used to adjust for spatial autocorrelation and ORs were computed to evaluate the relationship between ADI and SMM/MM, adjusted for covariates including age, race, insurance, residence in medically underserved areas/population (MUAP), and urban/rural residence. Results: Overall, 32,909 live-birth deliveries were identified, with a prevalence of 9.8% deliveries with SMM/MM with blood transfusion and 5.3% without blood transfusion, respectively. Increased levels of ADI were associated with increased odds of SMM/MM. Compared to women in the lowest quintile, the adjusted OR for SMM/MM among women in highest quintile was 1.78 (95%CI, 1.22-2.59, P=.0027); increasing age, non-Hispanic Black, government insurance and residence in MUAP were also significantly associated with increased odds of SMM/MM. Conclusion: Our results suggest that residence within disadvantaged neighborhoods may contribute to SMM/MM even after adjusting for patient-level factors. Measures such as ADI can help identify the most vulnerable populations and provide points to intervene.

It is time to Go All In: a call to action.

Even though there have been numerous advances in medicine and technology in the past few decades, the length and quality of life vary significantly based on a person's race, ethnicity, gender identity, sexual orientation, disability status, geographic residence, and/or socioeconomic status. In fact, membership in one or more marginalized sociodemographic groups is particularly associated with worse healthcare access and health outcomes. Behavioral medicine is uniquely equipped to advance health equity through inclusive and innovative research and practice and exerted influence on policies and practices that contribute to health disparities.

Disparities in Healthcare Utilization: Superfund Site vs. Neighboring Comparison Site.

Inequities in pollution-attributable health disparities are similar in most urban areas throughout the United States, and appear to encompass racial and socio-demographic differences, thereby suggesting increased health risks for those living in these areas. Individuals residing in close proximity to Superfund sites, predominantly people of color, are increasingly stricken with lung diseases. The prevalence of chronic lung diseases, such as chronic obstructive pulmonary disease (COPD), asthma in children, and lower respiratory tract infections (LRTI), is significantly higher in the affected area compared to the neighboring control area, irrespective of smoking, socio-economic status, or demographics. We conducted a retrospective analysis using data collected from patients who obtained healthcare from the University of Alabama at Birmingham (UAB) Health System. The data were procured from the Enterprise Data Warehouse (UAB Informatics for Integrating Biology and the Bedside (i2b2)). We evaluated healthcare utilization and classification of disease (defined by ICD-10 codes) of patients residing in zip codes: affected (35207, 35217) and neighboring comparison (35214). The results of the analysis may provide evidence that can be used for risk mitigation strategies or outreach education campaign(s) for those who live in the affected area.

Cancer disparities in the context of rurality: risk factors and screening across various U.S. rural classification codes.

PURPOSE: Prior cancer research is limited by inconsistencies in defining rurality. The purpose of this study was to describe the prevalence of cancer risk factors and cancer screening behaviors across various county-based rural classification codes, including measures reflecting a continuum, to inform our understanding of cancer disparities according to the extent of rurality. METHODS: Using an ecological cross-sectional design, we examined differences in cancer risk factors and cancer screening behaviors from the Behavioral Risk Factor Surveillance System and National Health Interview Survey (2008-2013) across rural counties and between rural and urban counties using four rural-urban classification codes for counties and county-equivalents in 2013: U.S. Office of Management and Budget, National Center for Health Statistics, USDA Economic Research Service's rural-urban continuum codes, and Urban Influence Codes. RESULTS: Although a rural-to-urban gradient was not consistently evident across all classification codes, the prevalence of smoking, obesity, physical inactivity, and binge alcohol use increased (all ptrend < 0.03), while colorectal, cervical and breast cancer screening decreased (all ptrend < 0.001) with increasing rurality. Differences in the prevalence of risk factors and screening behaviors across rural areas were greater than differences between rural and urban counties for obesity (2.4% vs. 1.5%), physical activity (2.9% vs. 2.5%), binge alcohol use (3.4% vs. 0.4%), cervical cancer screening (6.8% vs. 4.0%), and colorectal cancer screening (4.4% vs. 3.8%). CONCLUSIONS: Rural cancer disparities persist across multiple rural-urban classification codes, with marked variation in cancer risk factors and screening evident within rural regions. Focusing only on a rural-urban dichotomy may not sufficiently capture subpopulations of rural residents at greater risk for cancer and cancer-related mortality.

Attitudes toward telemedicine among urban and rural residents.

INTRODUCTION: Adoption of telemedicine by healthcare facilities has dramatically increased since the start of coronavirus pandemic; yet, major differences exist in universal acceptance of telemedicine across different population groups. The goal of this study was to examine population-based factors associated with current and/or future use of telemedicine in Alabama. METHODS: A cross-sectional survey was administered to 532 participants online or by phone, in four urban and eight rural counties in Alabama. Data were collected on: demographics, health insurance coverage, medical history, access to technology, and its use in accessing healthcare services. Generalized logit regression models were used to estimate the odds of choosing "virtual visit" and "phone communication" compared to "in-person visit" for the preferred choice of visit with the healthcare provider; as well as odds for willingness to participate in "virtual visit" in the future. RESULTS: Our study sample had a mean age of 43 (±15) years, 72.9% women, 45.9% Black or African American; 59.4% population living in an urban county. The odds of "phone communication" were higher compared to the odds of "in-person visit", with a unit increase in age (odds ratio: 1.02, 95% confidence interval: 1.00-1.03), after adjusting for other covariates. Among participants with past experience of virtual communications, the odds for choosing "virtual visit" were significantly higher compared to choice of in-person visit (odds ratio for virtual visit: 3.23, 95% confidence interval: 2.01-5.18), adjusted for other covariates. Further, people with college or more education were 71% less likely to choose "No" compared to those with high school or lower general education development education for future virtual visit [odds ratio for college or more: 0.29, 95% confodence interval: 0.10-0.87). Likewise, participants residing in rural counties were 57% less likely to choose "No" compared to urban counties for future virtual visit (odds ratio for rural participants: 0.43, 95% confidence interval:0.19-0.97). DISCUSSION: Our study found notable differences in age, education, and rurality for use and/or preference for telemedicine. Medical institutions and healthcare providers will need to account for these differences to ensure that the implementation of telemedicine does not exacerbate existing health disparities.

Adverse childhood experiences in children and adolescents with sickle cell disease: A retrospective cohort study.

BACKGROUND: Adverse childhood experiences (ACEs) are linked to poor health outcomes; however, the relationship between ACEs and health outcomes among children and adolescents with sickle cell disease (SCD) has limited documentation in the published literature. PROCEDURE: This retrospective cohort study involved 45 children and 30 adolescents. Participants were screened using the Center for Youth Wellness ACE Questionnaire. Parents completed the questionnaire for children. Adolescents provided self-report. ACEs were treated as continuous and categorical scales: 0-1 verus ≥2 original ACEs (individual and/or familial level); 0-1 versus ≥2 additional ACEs (community level); and 0-3 versus ≥4 expanded ACEs (original + additional). Pain and acute chest syndrome events were compared using Wilcoxon rank-sum tests, and correlated with cumulative ACE scores using Spearman's correlation. Multivariable models were fitted to examine the association between ACEs and pain/acute chest syndrome. RESULTS: The cumulative number of original ACEs positively correlated with acute chest syndrome events (rho = .53, p = .003) and pain (rho = .40, p = .028) among adolescents. Adolescents with ≥2 versus 0-1 original ACEs had a higher number of acute chest syndrome events (4.9 ± 2.6 vs. 1.6 ± 2.2, p = .002); however, this association was confounded by asthma. Acute chest syndrome events and hospitalizations for pain did not differ among child ACE groups. Emergency department (ED) pain visits were higher among children with ≥4 versus 0-3 expanded ACEs (1.6 ± 2.8 vs. 3.3 ± 3.2, p = .042), even after controlling for SCD genotype, asthma, disease-modifying treatment, and follow-up years (p = .027). CONCLUSION: ACEs are linked to increased morbidity among children and adolescents with SCD. Prospective studies are needed to further understand this relationship and test ACE-protective remedies.

Psychological and behavioral pathways between perceived stress and weight change in a behavioral weight loss intervention.

Black women have a higher prevalence of obesity and tend to have suboptimal outcomes in behavioral weight loss programs for reasons that are not fully understood. Studies have shown a potential relationship between perceived psychological stress and weight loss in behavioral interventions. This study sought to assess whether baseline stress was directly or indirectly associated with 6-month weight change among Black women participating in a behavioral weight loss study. Indirect pathways of interest included depressive symptoms and dietary intake. A secondary analysis of data (n = 409) collected from a cluster, randomized behavioral weight loss trial was conducted. Demographics, anthropometry, surveys, and dietary data were collected at baseline and 6 months. Path analysis was used to test for direct and indirect effects of baseline stress on 6-month weight change while controlling for sociodemographic factors and intervention group. Baseline stress was not directly associated with 6-month weight change nor was it indirectly associated via depressive symptoms in the adjusted model. However, each of the direct paths linking baseline stress to weight loss were statistically significant. Stress was not associated with 6-month weight change via dietary intake. Baseline stress was positively associated with 6-month depressive symptoms which in turn was associated with less weight change. Depressive symptoms may offer an additional psychosocial target to consider when designing behavioral weight loss interventions for Black women.

Factors Associated with Perceived Susceptibility to COVID-19 Among Urban and Rural Adults in Alabama.

We examined factors associated with and reasons for perceived susceptibility to COVID-19 among urban and rural adults in Alabama. We surveyed 575 eligible participants' engagement in preventive behaviors, concern about COVID-19 in their communities, perceived susceptibility to the virus, and reasons for susceptibility across three response options (Yes, No, and Don't Know/Not Sure). Bivariate analyses compared characteristics by level of perceived susceptibility to COVID-19. A multinomial logistic regression model evaluated the association of demographics, health insurance coverage, and chronic illness status with perceived susceptibility. Participants' race, gender, and educational attainment were significantly associated with perceived susceptibility to COVID-19. African Americans and males had higher odds of responding 'No', compared to 'Yes' and 'Don't Know/Not Sure' than Whites and females. Participants with a high school education and lower had higher odds of responding 'Don't Know/Not Sure' versus 'Yes' compared to those with college or higher education. Those unconcerned about COVID-19 in their community had higher odds of responding 'No' (OR = 2.51, CI 1.35-4.68) and 'Don't Know/Not Sure' (OR = 2.51, CI 1.26-4.99) versus 'Yes', as compared to those who were concerned. Possibility of exposure at work was the most frequent reasons for perceiving themselves susceptible to COVID-19, engagement in recommended preventive measures was the most frequent reason among respondents who indicated 'No', and uncertainty/perception that everyone is at risk was the most frequent reason among the ones who indicated 'Don't Know/Not Sure'. Results indicate that tailored efforts to heighten perceived susceptibility to COVID-19 among specific demographics are needed.