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.

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.

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.

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.

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.

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.

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.

Human Papillomavirus Vaccination and Human Papillomavirus-Associated Cancer Rates Within Florida Counties.

INTRODUCTION: To direct interventions, the Florida counties with the greatest risk of current and future human papillomavirus‒associated cancers were identified by estimating county-level (1) percentages of adolescents aged 13-17 years who initiated (≥1 dose) and were up to date (2-3 doses) for the human papillomavirus vaccine and (2) human papillomavirus‒associated cancer incidence rates. METHODS: Records were obtained for human papillomavirus vaccinations from the Florida immunization registry (2006-2019), incident cancer cases from the Florida registry (2013-2017), and annual population counts from the Florida Department of Health (2006-2019). In 2020, annual county-level human papillomavirus vaccine initiation, human papillomavirus vaccine up-to-date, and age-adjusted human papillomavirus‒associated cancer incidence rates were estimated. RESULTS: Among adolescents aged 13-17 years, average 2018-2019 county-specific human papillomavirus vaccine initiation ranged from 38% to 100% for females and from 34% to 96% for males. Up-to-date estimates ranged from 20% to 72% for females and from 24% to 77% for males. The majority (78%) of counties with initiation and up-to-date estimates within the lowest tercile were located in Northern Florida. County-specific 2013-2017 annualized, adjusted human papillomavirus‒associated cancer incidence rates ranged from 0 to 29.8 per 100,000 among females and from 5.4 to 24.1 per 100,000 among males. Counties within the highest tercile for human papillomavirus‒associated cancers were primarily (90% for females and 77% for males) located in Northern Florida. CONCLUSIONS: Human papillomavirus‒associated cancer risk varies widely across Florida counties, with particularly high risk within Northern Florida. Targeting interventions toward counties with low vaccination and high cancer rates may reduce human papillomavirus‒associated cancers.

Regional-scale management maps for forested areas of the Southeastern United States and the US Pacific Northwest.

Forests in the United States are managed by multiple public and private entities making harmonization of available data and subsequent mapping of management challenging. We mapped four important types of forest management, production, ecological, passive, and preservation, at 250-meter spatial resolution in the Southeastern (SEUS) and Pacific Northwest (PNW) USA. Both ecologically and socio-economically dynamic regions, the SEUS and PNW forests represent, respectively, 22.0% and 10.4% of forests in the coterminous US. We built a random forest classifier using seasonal time-series analysis of 16 years of MODIS 16-day composite Enhanced Vegetation Index, and ancillary data containing forest ownership, roads, US Forest Service wilderness and forestry areas, proportion conifer and proportion riparian. The map accuracies for SEUS are 89% (10-fold cross-validation) and 67% (external validation) and PNW are 91% and 70% respectively with the same validation. The now publicly available forest management maps, probability surfaces for each management class and uncertainty layer for each region can be viewed and analysed in commercial and open-source GIS and remote sensing software.

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.

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.

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.

Comparison of agroforests and protected forests in the East Usambara mountains, Tanzania.

Comparative studies on plant species richness, endemism, floristic composition, and structure between protected and unprotected forests are few in the Eastern Arc Mountains, one of the most biodiverse ecosystems in Africa. This study from one mountain range, the East Usambaras, examines floristic and structural tree data from 41-0.5 ha plots in four types of Eastern Arc forest: active agroforests, recently abandoned agroforests, mature secondary forest, and natural forest. Active agroforests had significantly lower tree species richness, endemic species richness, and stand density compared to natural and mature secondary forest. Recently abandoned agroforests contained a higher tree species richness, density, and tree height than active agroforests. Active and abandoned agroforests were dominated by an invasive tree, Maesopsis eminii. This tree species makes up a large percentage of the stems in active agroforests (26%), recently abandoned agroforests (32%), and in the canopy of mature secondary forests ∼ 30 years post logging (30%). Through time the increasing dominance of this non-native tree in active agroforests is a concern when considering the role of agroforests in a landscape scale conservation strategy.