Prevalence of Underreported Nicotine Exposure Among US Nonsmoking Adults: A Comparison of Self-Reported Exposure and Serum Cotinine Levels From NHANES 2013-2020.

INTRODUCTION: Secondhand smoke (SHS) poses a significant health risk. However, individuals who do not smoke may be unaware of their exposure, thereby failing to take protective actions promptly. AIMS AND METHODS: We assessed the prevalence of underreported nicotine exposure in a nationally representative sample of US nonsmoking adults using data from the US National Health and Examination Survey. Individuals with underreported nicotine exposure were defined as those who reported no exposure to all tobacco products (traditional tobacco, nicotine replacements, and e-cigarettes) or SHS, yet had detectable levels of serum cotinine (>0.015 ng/mL). We fitted logistic regression models to determine sociodemographic and chronic condition factors associated with underreported nicotine exposure. RESULTS: Our analysis included 13 503 adults aged 18 years and older. Between 2013 and 2020, the prevalence of self-reported SHS exposure, serum cotinine-assessed nicotine exposure, and underreported nicotine exposure among US nonsmokers were 22.0%, 51.2%, and 34.6%, respectively. Remarkably, 67.6% with detectable serum cotinine reported no SHS exposure. Males, non-Hispanic blacks, individuals of other races (including Asian Americans, Native Americans, and Pacific Islanders), and those without cardiovascular diseases were more likely to underreport nicotine exposure than their counterparts. The median serum cotinine value was higher in respondents who reported SHS exposure (0.107 ng/mL) than in those who reported no exposure (0.035 ng/mL). We estimate that approximately 56 million US residents had underreported nicotine exposure. CONCLUSIONS: Over a third of US nonsmokers underreport their nicotine exposure, underlining the urgent need for comprehensive public awareness campaigns and interventions. Further research into sociodemographic determinants influencing this underreporting is needed. IMPLICATIONS: Understanding the extent of underreported nicotine exposure is crucial for developing effective public health strategies and interventions. It is imperative to bolster public consciousness about the risks associated with SHS. Additionally, surveillance tools should also incorporate measures of exposure to outdoor SHS and e-cigarette vapor to enhance the quality of data monitoring. Findings from this study can guide tobacco control initiatives and inform smoke-free air legislation.

Messaging preferences among Florida caregivers participating in focus groups who had not yet accepted the HPV vaccine for their 11- to 12-year-old child.

BACKGROUND: In the United States, human papillomavirus (HPV) vaccination rates remain low. The President's Cancer Panel suggests that effective messaging about the HPV vaccination focus on the vaccine's safety, efficacy, ability to prevent cancer, and recommendation at ages 11- to 12-years. We aimed to develop messages about HPV vaccine that include the President Cancer Panel's suggestions and were acceptable to caregivers of adolescents. METHODS: From August to October 2020, we conducted one-hour, Zoom videoconference focus groups with caregivers who lived in Florida, had an 11- to 12-year-old child, and had not had any of their children receive the HPV vaccine. Focus group moderators asked caregivers to react to three videos of clinician (i.e., MD, DO, APRN, PA) recommendations and three text message reminders. Thematic analysis was conducted using the constant comparative method and led by one author with qualitative analysis expertise. Two additional authors validated findings. RESULTS: Caregivers (n = 25 in six groups) were primarily non-Hispanic white (84%) and educated (64% had at least an Associate's degree). Approximately a third of caregivers had delayed (44%) or decided against a vaccine for their child (36%). Caregivers described six preferred message approaches: recognize caregivers' autonomy, balanced benefits and risks, trustworthy sources, increased feasibility of appointment scheduling, information prior to decision point, and preferred personalized information. Caregivers expressed a desire to have the follow-up doses mentioned in the introduction. CONCLUSIONS: HPV vaccine messages, whether delivered by a clinician or via text message, will be more acceptable to caregivers if they approach HPV vaccination as the caregivers' decision, and include information from trusted sources to help caregivers make an informed choice.

Changes in Recall to E-Cigarette Advertisement Exposure among Florida Youth, 2016-2019.

INTRODUCTION: The Centers for Disease Control and Prevention reported increases in exposure to e-cigarette ads among US middle and high school students from 2014-2016. This study examines changes in exposure to e-cigarette ads by source among youth in Florida. Methods: We analyzed Florida Youth Tobacco Survey (FYTS) data from 2016-2019 (n = 149,407). We calculated the weighted prevalence of exposure to ads by source (on radio, TV, internet, billboards/outdoor signs, or magazines/newspapers) across years and tested differences in prevalence from 2016-2019. We used logistic regression to examine the changes from 2016-2019 and further conducted multivariable logistic regression to examine the likelihood of past-30-day e-cigarette ad recall as a function of sociodemographics, tobacco use among family members, and current use of tobacco products. Results: Exposure to any type of e-cigarette ads decreased significantly from 2016 (weighted, 55.4%, 95% CI = 54.7, 56.1) to 2018 (47.3%, 95% CI = 46.6, 48.1), but rebounded in 2019 (57.0%, 95% CI = 55.7, 58.4). In multivariable logistic models, the following correlates were consistently associated with higher past-30-day exposure to any source of e-cigarette ads: survey year of 2019 (vs. 2016), being a high school (vs. middle school) student, female (vs. male), current use of e-cigarettes, current other tobacco use, and having a family member who uses tobacco. Conclusion: These findings suggest the need for continued surveillance of e-cigarette marketing practices and policies to prevent youth exposure to e-cigarette ads.

Association Between Residential Neighborhood Social Conditions and Health Care Utilization and Costs.

BACKGROUND: Social factors are important drivers of health. However, it is unclear to what extent neighborhood social conditions are associated with total and preventable health care utilization and costs. OBJECTIVES: To examine the association of neighborhood social conditions with total annual and potentially preventable Medicare costs. RESEARCH DESIGN AND SUBJECTS: Retrospective cohort study. Medicare claims data from 2013 to 2014 linked with neighborhood social conditions at the US census block group level of 2013 for 93,429 Medicare fee-for-service and dually eligible patients. MEASURES: Neighborhood social conditions were measured by Area Deprivation Index at the census block group level, categorized into quintiles. Outcomes included total annual and potentially preventable utilization and costs. RESULTS: After adjustment for demographics and comorbidities, patients with the least disadvantaged social conditions had higher total annual Medicare costs [$427; 95% confidence interval (CI), $200-$655] and similar potentially preventable costs (-$23; 95% CI, -$56 to $10) as compared with patients with the intermediate level social conditions. Patients with the most disadvantaged social conditions had similar total Medicare costs (-$22; 95% CI, -$342 to $298) but higher potentially preventable costs ($53; 95% CI, $1-$104) than patients with the intermediate level social conditions. CONCLUSIONS: Disadvantaged neighborhood conditions are associated with lower total annual Medicare costs but higher potentially preventable costs after controlling for demographic, medical, and other patient characteristics. Socioeconomic barriers may limit access and use of primary care and disease management services, resulting in a higher proportion of their health care costs going to potentially preventable care.

Rural-urban and racial-ethnic differences in awareness of direct-to-consumer genetic testing.

BACKGROUND: Access to direct-to-consumer genetic testing services has increased in recent years. However, disparities in knowledge and awareness of these services are not well documented. We examined awareness of genetic testing services by rural/urban and racial/ethnic status. METHODS: Analyses were conducted using pooled cross-sectional data from 4 waves (2011-2014) of the Health Information National Trends Survey (HINTS). Descriptive statistics compared sample characteristics and information sources by rural/urban residence. Logistic regression was used to examine the relationship between geography, racial/ethnic status, and awareness of genetic testing, controlling for sociodemographic characteristics. RESULTS: Of 13,749 respondents, 16.7% resided in rural areas, 13.8% were Hispanic, and 10.1% were non-Hispanic black. Rural residents were less likely than urban residents to report awareness of genetic testing (OR = 0.74, 95% CI = 0.63-0.87). Compared with non-Hispanic whites, racial/ethnic minorities were less likely to be aware of genetic testing: Hispanic (OR = 0.68, 95% CI = 0.56-0.82); and non-Hispanic black (OR = 0.74, 95% CI = 0.61-0.90). CONCLUSIONS: Rural-urban and racial-ethnic differences exist in awareness of direct-to-consumer genetic testing. These differences may translate into disparities in the uptake of genetic testing, health behavior change, and disease prevention through precision and personalized medicine.

Hypertension in Florida: Data From the OneFlorida Clinical Data Research Network.

INTRODUCTION: Hypertension is highly prevalent in Florida, but surveillance through the Behavioral Risk Factor Surveillance System (BRFSS) is limited to self-reported hypertension and does not capture data on undiagnosed hypertension or measure blood pressure. We aimed to characterize the hypertensive population in the OneFlorida Clinical Research Consortium by using electronic health records and provide proof-of-concept for using routinely collected clinical data to augment surveillance efforts. METHODS: We identified patients with hypertension, defined as having at least 1 outpatient visit from January 2012 through June 2016 with an ICD-9-CM or ICD-10-CM diagnosis code for hypertension, or in the absence of a diagnosis, an elevated blood pressure (systolic ≥140 mm Hg or diastolic ≥90 mm Hg) recorded in the electronic health record at the most recent visit. The hypertensive population was characterized and mapped by zip code of patient residence to county prevalence. RESULTS: Of 838,469 patients (27.9% prevalence) who met the criteria for hypertension, 68% had received a diagnosis and 61% had elevated blood pressure. The geographic distribution of hypertension differed between diagnosed hypertension (highest prevalence in northern Florida) and undiagnosed hypertension (highest prevalence along eastern coast, in southern Florida, and in some rural western Panhandle counties). Uncontrolled hypertension was concentrated in southern Florida and the western Panhandle. CONCLUSION: Our use of clinical data, representing usual care for Floridians, allows for identifying cases of uncontrolled hypertension and potentially undiagnosed cases, which are not captured by existing surveillance methods. Large-scale pragmatic research networks, like OneFlorida, may be increasingly important for tailoring future health care services, trials, and public health programs.

Land cover change and carbon emissions over 100 years in an African biodiversity hotspot.

Agricultural expansion has resulted in both land use and land cover change (LULCC) across the tropics. However, the spatial and temporal patterns of such change and their resulting impacts are poorly understood, particularly for the presatellite era. Here, we quantify the LULCC history across the 33.9 million ha watershed of Tanzania's Eastern Arc Mountains, using geo-referenced and digitized historical land cover maps (dated 1908, 1923, 1949 and 2000). Our time series from this biodiversity hotspot shows that forest and savanna area both declined, by 74% (2.8 million ha) and 10% (2.9 million ha), respectively, between 1908 and 2000. This vegetation was replaced by a fivefold increase in cropland, from 1.2 million ha to 6.7 million ha. This LULCC implies a committed release of 0.9 Pg C (95% CI: 0.4-1.5) across the watershed for the same period, equivalent to 0.3 Mg C ha(-1)  yr(-1) . This is at least threefold higher than previous estimates from global models for the same study area. We then used the LULCC data from before and after protected area creation, as well as from areas where no protection was established, to analyse the effectiveness of legal protection on land cover change despite the underlying spatial variation in protected areas. We found that, between 1949 and 2000, forest expanded within legally protected areas, resulting in carbon uptake of 4.8 (3.8-5.7) Mg C ha(-1) , compared to a committed loss of 11.9 (7.2-16.6) Mg C ha(-1) within areas lacking such protection. Furthermore, for nine protected areas where LULCC data are available prior to and following establishment, we show that protection reduces deforestation rates by 150% relative to unprotected portions of the watershed. Our results highlight that considerable LULCC occurred prior to the satellite era, thus other data sources are required to better understand long-term land cover trends in the tropics.

Ecological and social outcomes of a new protected area in Tanzania.

Balancing ecological and social outcomes of conservation actions is recognized in global conservation policy but is challenging in practice. Compensation to land owners or users for foregone assets has been proposed by economists as an efficient way to mitigate negative social impacts of human displacement from protected areas. Joint empirical assessments of the conservation and social impacts of protected area establishment involving compensation payments are scarce. We synthesized social and biological studies related to the establishment of the Derema forest corridor in Tanzania's biodiverse East Usambara Mountains. This lengthy conservation process involved the appropriation of approximately 960 ha of native canopy agroforest and steep slopes for the corridor and monetary compensation to more than 1100 claimants in the surrounding villages. The overarching goals from the outset were to conserve ecological processes while doing no harm to the local communities. We evaluated whether these goals were achieved by analyzing 3 indicators of success: enhancement of forest connectivity, improvement of forest condition, and mitigation of negative impacts on local people's livelihoods. Indicators of forest connectivity and conditions were enhanced through reductions of forest loss and exotic species and increases in native species and canopy closure. Despite great efforts by national and international organizations, the intervention failed to mitigate livelihood losses especially among the poorest people. The Derema case illustrates the challenges of designing and implementing compensation schemes for conservation-related displacement of people.

Acceptability of HPV self-collection: A qualitative study of Black women living with type II diabetes and social vulnerability.

Introduction: Human papillomavirus (HPV) causes 99.7% of cervical cancer cases. Cervical cancer is preventable through early detection via HPV testing. However, the number of women screened for cervical cancer has not increased in the last several years. Lower screening rates among women living in high poverty and social vulnerability areas, Black women, and women with chronic co-morbidities (e.g., type 2 diabetes (T2D)) are associated with their higher cervical cancer mortality rates. When screened, Black women are more likely to be diagnosed at later stages and die from cervical cancer. HPV self-collection decreases barriers to cervical cancer screening and can help lessen disparities among underserved women. This study aimed to examine the acceptability of HPV self-collection among Black women with T2D living in socially vulnerable communities. Methods: Qualitative semi-structured interviews were conducted with 29 Black women with T2D living in communities with high social vulnerability. The Health Belief Model informed the development of the interview guide to gather data on the acceptability of HPV self-collection. Results: Three main themes aligned with the Health Belief Model were identified: (1) HPV self-collection provides a comfortable alternative to in-clinic HPV testing (perceived benefits); (2) HPV self-collection would result in awareness of current HPV status (health motivation); and (3) Women were concerned about collecting their sample accurately (perceived barriers). Discussion/Conclusion: Black women with T2D living in communities with high social vulnerability identified multiple benefits of cervical cancer screening through HPV self-collection. Women are concerned about their ability to collect these samples correctly. Our findings call for future studies focusing on increasing self-efficacy and skills to collect HPV samples among Black women with chronic conditions like T2D who reside in underserved communities with high social vulnerability.

The Science of Precision Prevention: Research Opportunities and Clinical Applications to Reduce Cardiovascular Health Disparities.

Precision prevention embraces personalized prevention but includes broader factors such as social determinants of health to improve cardiovascular health. The quality, quantity, precision, and diversity of data relatable to individuals and communities continue to expand. New analytical methods can be applied to these data to create tools to attribute risk, which may allow a better understanding of cardiovascular health disparities. Interventions using these analytic tools should be evaluated to establish feasibility and efficacy for addressing cardiovascular disease disparities in diverse individuals and communities. Training in these approaches is important to create the next generation of scientists and practitioners in precision prevention. This state-of-the-art review is based on a workshop convened to identify current gaps in knowledge and methods used in precision prevention intervention research, discuss opportunities to expand trials of implementation science to close the health equity gaps, and expand the education and training of a diverse precision prevention workforce.

The Association of Socioeconomic Vulnerability and Race and Ethnicity With Disease Burden Among Children in a Statewide Medicaid Population.

OBJECTIVE: Individuals enrolled in Medicaid have disproportionately worse health outcomes due to challenges related to Social Determinants of Health. We aim to examine the prevalence of 3 childhood conditions (asthma, type 2 diabetes, and attention deficit hyperactivity disorder [ADHD]) in children within the Texas Medicaid system. In order to recognize the layers of vulnerability, we examine prevalence at the intersection of socioeconomic status with race and ethnicity within this economically challenged population. METHODS: Children ages 0 to 17 were identified from claims and encounter data for all children enrolled in Texas Medicaid in 2017 for at least 6 months. All children were placed into one of 5 quintiles based on their census tract socioeconomic vulnerability. The Rate Ratio statistical test was employed to identify the statistical significance of the disparity in health outcomes related to higher neighborhood vulnerability within each racial or ethnic group. RESULTS: Asthma for each race and ethnicity group was significantly more prevalent in the higher vulnerability census tracts. Increased vulnerability related to significant increase in type 2 diabetes for Hispanic children, but not for other groups. Diagnosed ADHD prevalence was significantly higher in less vulnerable non-Hispanic white children compared to more vulnerable. CONCLUSIONS: This study found that even among children who receive Medicaid and are thus economically disadvantaged, socioeconomic vulnerability applies an additional burden within racial and ethnic groups to produce disparities in health-related burden. However, the trend of the relationship varied by race and ethnicity group and health condition.

County-Level Factors Associated With HPV Vaccine Coverage Among 11-Year-Olds to 12-Year-Olds Living in Florida in 2019.

BACKGROUND: In the United States, human papillomavirus (HPV) vaccine initiation and up-to-date (UTD) status are associated with multiple factors at the individual level such as racial/cultural (e.g., race, immigration status), socioeconomic status (e.g., living below poverty level, education), and healthcare access (e.g., insurance status/type). HPV vaccination rates differ dramatically by US geographic areas and within states. To tailor interventions to local areas, it is important to understand county-level characteristics associated with HPV vaccination rates. METHODS: Using linear regression, we assessed the association between county-level HPV vaccination initiation and UTD rates for 11-year-olds to 12-year-olds in Florida (collected from the Florida SHOTS immunization registry) and county-level variables. Factors found significant in bivariate analysis and with a variance influence factors <4 were included in multivariable models. RESULTS: In 2019, county-level HPV vaccine coverage among Florida 11-year-olds to 12-year-olds ranged from 31% to 92% initiation and 3%-36% UTD. Counties with the lowest HPV vaccine coverage were concentrated in Florida's North-Central and Panhandle regions. In multivariable models, counties with primarily rural populations had lower vaccination initiation and UTD coverage. Above and beyond the association with rurality, UTD coverage was associated with family physicians per 100,000 residents and uninsured or Medicaid-enrolled populations. DISCUSSION: While Florida county-level HPV vaccine initiation rates among 11-year-olds to 12-year-olds varied by county in 2019, UTD rates remained universally low despite recommendations. Tailoring interventions toward healthcare access in rural communities may increase HPV vaccine coverage.

Disparities Contributing to Late-Stage Diagnosis of Lung, Colorectal, Breast, and Cervical Cancers: Rural and Urban Poverty in Florida.

Despite advances in cancer screening, late-stage cancer diagnosis is still a major cause of morbidity and mortality in the United States. In this study, we aim to understand demographic and geographic factors associated with receiving a late-stage diagnosis (LSD) of lung, colorectal, breast, or cervical cancer. (1) Methods: We analyzed data of patients with a cancer diagnosis between 2016 and 2020 from the Florida Cancer Data System (FCDS), a statewide population-based registry. To investigate correlates of LSD, we estimated multi-variable logistic regression models for each cancer while controlling for age, sex, race, insurance, and census tract rurality and poverty. (2) Results: Patients from high-poverty rural areas had higher odds for LSD of lung (OR = 1.23, 95% CI (1.10, 1.37)) and breast cancer (OR = 1.31, 95% CI (1.17,1.47)) than patients from low-poverty urban areas. Patients in high-poverty urban areas saw higher odds of LSD for lung (OR = 1.05 95% CI (1.00, 1.09)), breast (OR = 1.10, 95% CI (1.06, 1.14)), and cervical cancer (OR = 1.19, 95% CI (1.03, 1.37)). (3) Conclusions: Financial barriers contributing to decreased access to care likely drive LSD for cancer in rural and urban communities of Florida.

Does the Intersectionality of Race/Ethnicity and Type 2 Diabetes Increase the Odds of a Cervical Cancer Diagnosis? A Nested Case-Control Study of a Florida Statewide Multisite EHR Database.

Cervical cancer and Type 2 Diabetes (T2D) share common demographic risk factors. Despite this, scarce research has examined the relationship between race/ethnicity, having T2D, and cervical cancer incidence. We analyzed statewide electronic health records data between 2012 and 2019 from the OneFlorida+ Data Trust. We created a 1:4 nested case-control dataset. Each case (patient with cervical cancer) was matched with four controls (patients without cervical cancer) without replacement by year of encounter, diagnosis, and age. We used conditional logistic regression to estimate the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to examine the association between race/ethnicity, T2D, and cervical cancer incidence. A total of 100,739 cases and 402,956 matched controls were identified. After adjusting for sociodemographic characteristics, non-Hispanic Black women with T2D had higher odds of cervical cancer compared with non-Hispanic White women with T2D (OR: 1.58, 95% CI 1.41-1.77). Living in a rural area, having Medicaid/Medicare insurance, and having high social vulnerability were associated with higher odds of having a cervical cancer diagnosis. Our findings imply the need to address the higher burden of cervical cancer diagnosis among non-Hispanic Black women with T2D and in underserved populations.

Perinatal Health Outcomes Across Rural and Nonrural Counties Within a Single Health System Catchment.

Background: Perinatal health outcomes are influenced by a variety of socioeconomic, behavioral, and economic factors that reduce access to health services. Despite these observations, rural communities continue to face barriers, including a lack of resources and the fragmentation of health services. Objective: To evaluate patterns in health outcomes, health behaviors, socioeconomic vulnerability, and sociodemographic characteristics across rural and nonrural counties within a single health system catchment area. Methods: Socioeconomic vulnerability metrics, health care access as determined by licensed provider metrics, and behavioral data were obtained from FlHealthCHARTS.gov and the County Health Rankings. County-level birth and health data were obtained from the Florida Department of Health. The University of Florida Health Perinatal Catchment Area (UFHPCA) was defined as all Florida counties where ≥5% of all infants were delivered at Shands Hospital between June 2011 and April 2017. Results: The UFHPCA included 3 nonrural and 10 rural counties that represented more than 64,000 deliveries. Nearly 1 in 3 infants resided in a rural county, and 7 out of 13 counties did not have a licensed obstetrician gynecologist. Maternal smoking rates (range 6.8%-24.8%) were above the statewide rate (6.2%). Except for Alachua County, breastfeeding initiation rates (range 54.9%-81.4%) and access to household computing devices (range 72.8%-86.4%) were below the statewide rate (82.9% and 87.9%, respectively). Finally, we found that childhood poverty rates (range 16.3%-36.9%) were above the statewide rate (18.5%). Furthermore, risk ratios suggested negative health outcomes for residents of counties within the UFHPCA for each measure, except for infant mortality and maternal deaths, which lacked sample sizes to adequately test. Conclusions: The health burden of the UFHPCA is characterized by rural counties with increased maternal death, neonatal death, and preterm birth, as well as adverse health behaviors that included increased smoking during pregnancy and lower levels of breastfeeding relative to nonrural counties. Understanding perinatal health outcomes across a single health system has potential to not only estimate community needs but also facilitate planning of health care initiatives and interventions in rural and low-resource communities.

Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.

Post-acute sequelae of SARS-CoV-2 infection (PASC) affects a wide range of organ systems among a large proportion of patients with SARS-CoV-2 infection. Although studies have identified a broad set of patient-level risk factors for PASC, little is known about the association between "exposome"-the totality of environmental exposures and the risk of PASC. Using electronic health data of patients with COVID-19 from two large clinical research networks in New York City and Florida, we identified environmental risk factors for 23 PASC symptoms and conditions from nearly 200 exposome factors. The three domains of exposome include natural environment, built environment, and social environment. We conducted a two-phase environment-wide association study. In Phase 1, we ran a mixed effects logistic regression with 5-digit ZIP Code tabulation area (ZCTA5) random intercepts for each PASC outcome and each exposome factor, adjusting for a comprehensive set of patient-level confounders. In Phase 2, we ran a mixed effects logistic regression for each PASC outcome including all significant (false positive discovery adjusted p-value < 0.05) exposome characteristics identified from Phase I and adjusting for confounders. We identified air toxicants (e.g., methyl methacrylate), particulate matter (PM2.5) compositions (e.g., ammonium), neighborhood deprivation, and built environment (e.g., food access) that were associated with increased risk of PASC conditions related to nervous, blood, circulatory, endocrine, and other organ systems. Specific environmental risk factors for each PASC condition and symptom were different across the New York City area and Florida. Future research is warranted to extend the analyses to other regions and examine more granular exposome characteristics to inform public health efforts to help patients recover from SARS-CoV-2 infection.

Mixed methods evaluation of vaping and tobacco product use prevention interventions among youth in the Florida 4-H program.

INTRODUCTION: Novel prevention programs are developed to address the increase in e-cigarette use (vaping) among children. However, it remains paramount to test their feasibility in rural settings. This pilot study implemented and evaluated the feasibility and outcomes of two innovative programs, CATCH My Breath and smokeSCREEN, among youth in rural settings in Florida. METHODS: We conducted four focus groups with youth aged 11-17 recruited from 4-H rural clubs in Florida. In a subsequent randomized trial, we recruited 82 youth participants and assigned them to one of three arms: CATCH My Breath, smokeSCREEN, or control. CATCH My Breath and smokeSCREEN participants attended online group intervention sessions while the control group received educational material. Pre- and post-surveys were administered to all participants to assess knowledge, susceptibility, perceived positive outcomes and risk perceptions related to tobacco and e-cigarette use. Other feasibility parameters were also assessed. RESULTS: Focus group discussions provided insights about feasibility and informed the implementation of both interventions in terms of delivery format, scheduling of sessions and incentives. After the intervention, CATCH My Breath participants significantly improved their general tobacco-related knowledge (post-pre = 16.21-12.92 = 3.3, p <.01) and risk perceptions towards other flavored tobacco products (post-pre = 19.29-17.71 = 1.6, p <.05). smokeSCREEN participants significantly improved their general tobacco knowledge (post-pre = 18.77-13.77 = 5.0, p <.01), knowledge about e-cigarettes (post-pre = 9.08-6.31 = 2.8, p <.01) and risk perception towards e-cigarettes (post-pre = 24.69-21.92 = 2.8, p <.05). CONCLUSIONS: This study demonstrated feasibility of delivering the interventions via participant engagement, participants' willingness to be randomized, assessment of outcome measures, and exploration of different recruitment methods. Despite the potential positive influence of CATCH My Breath and smokeSCREEN on youth participants, further evaluation with larger samples is needed.

Cancer disparities related to poverty and rurality for 22 top cancers in Florida.

We aimed to examine poverty and rurality as potential predictors of cancer health disparities. This cross-sectional study used data from the Florida Cancer Data System on all cancer diagnoses in the years 2014-2018 to determine age-adjusted incidence and mortality (per 100,000 population) for the 22 most common cancer sites within rural and urban counties, and high poverty and low poverty communities. Rural/urban and high/low poverty related cancer disparities were tested for statistical significance using the Rate Ratio statistical test. Overall cancer incidence was significantly lower in rural areas than in urban, but significantly higher in high poverty communities. Rurality and poverty were both associated with disparity in cancer incidence risk for tobacco-related cancers. The overall mortality was 22% higher in high poverty areas compared to low poverty areas. Ten cancer sites had mortality disparity from 83% to 17% higher in high poverty areas. Only three cancer sites, all tobacco-related, had higher mortality in rural areas than urban areas, demonstrating the intersectional nature of inhaled and smokeless tobacco use in rural low-income communities. Cancer and mortality rates in rural and urban areas may be largely driven by poverty. The high disparities related to high poverty areas reflects poor access to preventative care and treatment. Low income communities, rural or urban, will require focused efforts to address challenges specific to each population.

Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER Program.

Post-acute sequelae of SARS-CoV-2 infection (PASC) affects a wide range of organ systems among a large proportion of patients with SARS-CoV-2 infection. Although studies have identified a broad set of patient-level risk factors for PASC, little is known about the contextual and spatial risk factors for PASC. Using electronic health data of patients with COVID-19 from two large clinical research networks in New York City and Florida, we identified contextual and spatial risk factors from nearly 200 environmental characteristics for 23 PASC symptoms and conditions of eight organ systems. We conducted a two-phase environment-wide association study. In Phase 1, we ran a mixed effects logistic regression with 5-digit ZIP Code tabulation area (ZCTA5) random intercepts for each PASC outcome and each contextual and spatial factor, adjusting for a comprehensive set of patient-level confounders. In Phase 2, we ran a mixed effects logistic regression for each PASC outcome including all significant (false positive discovery adjusted p-value < 0.05) contextual and spatial characteristics identified from Phase I and adjusting for confounders. We identified air toxicants (e.g., methyl methacrylate), criteria air pollutants (e.g., sulfur dioxide), particulate matter (PM 2.5 ) compositions (e.g., ammonium), neighborhood deprivation, and built environment (e.g., food access) that were associated with increased risk of PASC conditions related to nervous, respiratory, blood, circulatory, endocrine, and other organ systems. Specific contextual and spatial risk factors for each PASC condition and symptom were different across New York City area and Florida. Future research is warranted to extend the analyses to other regions and examine more granular contextual and spatial characteristics to inform public health efforts to help patients recover from SARS-CoV-2 infection.