Views of the Pharmacists' Role in HPV Vaccinations: A Qualitative Study in Tennessee.

The Human Papillomavirus (HPV) is a frequently occurring sexually transmitted infection in adults and is associated with various cancers that can affect both males and females. Recently, the Advisory Committee on Immunization Practices (ACIP) expanded its recommendations for the HPV vaccine to include patients aged 27-45 years with shared clinical decision-making. A commonly reported obstacle to receiving the HPV vaccine among adults is a lack of healthcare provider recommendations. Considering the suboptimal HPV vaccine coverage figures and noting that the vast majority of hesitancy research has been conducted among children and adolescents, limited research is available on the adult perception of HPV vaccination in pharmacies. This study focuses on understanding adults' opinions and perceptions regarding the role of pharmacists in the uptake of the HPV vaccine and awareness of its availability in the pharmacy setting. METHODS: After receiving approval from the Institutional Review Board (IRB), the qualitative study was initiated using virtual focus groups (FGs). Concepts from the Transtheoretical Model, the Health Belief Model, and the Social Cognitive Theory guided the study design. The corpus of data was collected in 2021 and 2022 by two researchers, and a third party transcribed the FGs to avoid any biases. The data were analyzed using Braun and Clarke's Thematic Analysis. RESULTS: Out of 35 subjects that participated in six FGDs, most identified as female, with ages ranging from 18 to 45 years. The following four themes emerged: (1) HPV vaccine awareness; (2) stigmas leading to reduced education and vaccination rates; (3) education preferences; (4) follow-up in vaccination series reminders and preferences. CONCLUSION: Participants' views of the HPV vaccine and the ability to receive the vaccine in a pharmacy are influenced by a myriad of factors. Common factors include improved awareness, preferences for educational modalities, avoiding stigmas associated with HPV vaccination, combating gender-focused biases, and preferences for the location of vaccination. These barriers provide opportunities for pharmacists to promote and enhance vaccine uptake.

Overnight heat in sleep spaces of housed and unhoused residents: results and recommendations from a Knoxville, Tennessee, case study.

Nighttime heat is an important factor in heat-health outcomes, though nighttime heat exposure and its impacts are poorly understood. We assessed overnight heat in indoor (n = 12) and outdoor (n = 3) living spaces in Knoxville, Tennessee, using iButton Hygrochrons in August 2021. Indoor sleep spaces, all of which were air conditioned, reported a variety of overnight conditions. Indoor sleep spaces were both warmer and cooler than outdoor temperatures overnight, and some participants noted having physical health effects of overnight heat in their homes. Downtown outdoor sleep spaces, including a park and encampment, exhibited an urban heat island signal, staying warmer than other outdoor areas. Future research should focus on the intensity and length of the overnight recovery period for individuals and how that affects heat-health outcomes, especially after being exposed to daytime heat. Specifically, do homes reach a cool enough temperature for recovery, and do outdoor sleeping spaces offer a long enough and cool enough period for recovery? We provide some recommendations for such future studies, including (1) focus on purposeful sampling, (2) use deliberate sensor placement for representative results, (3) prepare for participant drop-off due to non-compliance and technological problems, and (4) strategically gather demographic information.

Threats to public health workers.

Media reports and data from public health professional membership organizations have demonstrated high levels of harassment experienced by public health workers throughout the COVID-19 response. We documented personal and political threats to public health workers across the first 12 months of pandemic response through a longitudinal survey completed in Fall 2020 and Summer 2021. The web-based survey was distributed to respondents using the Qualtrics survey platform. Survey items measured domains including demographic information, public health roles and training, mental and physical health, and work-life balance. Respondents were also asked if they had received any personal or political threats, from whom these threats were received, and completed an open-ended question describing the nature of the threats. Among the 85 public health workers completing both surveys, threats from members of the public and from elected and appointed leaders were most prevalent at both timepoints; however, as the pandemic response progressed, the nature of threats to public health workers changed. While those remaining in the public health workforce may be more resilient to these threats, increased prevalence of personal and political threats has the potential to deter new graduates from entering the field, impacting the public health system's future response capacity.

Perceptions of the impact of COVID-19 in Tennessee, USA: a retrospective study.

Background: Despite high incidence and mortality risks associated with COVID-19 during the pandemic, stay-at-home orders and vaccination recommendations were met with varying levels of acceptance in Tennessee. Understanding perceptions of individuals regarding the health and economic impacts of COVID-19 is necessary to address public concerns while ensuring appropriate public health response. Therefore, the objectives of this study were to (a) investigate differences in opinions among residents of Tennessee regarding the impacts of COVID-19; and (b) identify socioeconomic and demographic predictors/determinants of these opinions. Methods: This retrospective cross-sectional study was conducted using survey data collected in nine waves during 2020. Distributions of survey-weighted sociodemographic characteristics and respondent perceptions of the impact of COVID-19 were computed. Weighted logistic models were used to investigate predictors of a number of perceptions: whether the health or economic impact was greater, concern for respondent's health, concern for family's health, and willingness to accept COVID-19 vaccine. Results: The study included a total of 9,754 survey respondents. Approximately equal percentages considered COVID-19 to have a greater economic (48.4%) versus health impact (51.6%). Just 40.1% of the respondents reported that they would definitely accept a COVID-19 vaccine. Age group, race, educational attainment, and household composition were significant (p < 0.05) predictors of all investigated perceptions regarding COVID-19. Lack of prior infection was the strongest predictor of the perception of COVID-19 having a greater impact on health (OR = 2.40, p < 0.001), concern for respondent's health (OR = 1.86, p = 0.002), and concern for family members' health (OR = 1.90, p = 0.001). Compared to males, females had higher odds of identifying the health impact of COVID-19 as greater (OR = 1.09, p = 0.041) and reporting concern for family health (OR = 1.14, p = 0.003). However, they had lower odds (OR = 0.63, p < 0.001) of willingness to accept vaccine than males. Conclusion: These findings improve our understanding of the drivers of health behaviors, including vaccine hesitancy, and are useful for guiding public health outreach/education programs.

Changes in anxiety and depression among public health workers during the COVID-19 pandemic response.

OBJECTIVES: The COVID-19 pandemic has negatively impacted mental health indicators, leading to an increase in symptoms of anxiety and depression in both the general population of adults and children and many occupational groups. This study aims to examine changes in anxiety and depression among a cohort of public health workers in the U.S. during the first year of the COVID-19 pandemic and identify potential risk factors. METHODS: Longitudinal data were collected from a sub-sample (N = 85) of public health workers in 23 U.S. states who completed two surveys in 2020 and 2021. Information on background characteristics, personal well-being, and work environment as well as validated scales to assess generalized anxiety disorder (GAD), depressive disorder, and burnout was collected. Data were analyzed using Stata Version 17, and significant differences were determined using Pearson's Chi2 and Fisher's Exact tests. RESULTS: The proportion of those reporting GAD (46.3% to 23.2%) or depression (37.8% to 26.8%) improved from Survey 1 to Survey 2 overall; symptoms of anxiety saw the largest improvement. Persistent depression was associated with sustained burnout, changes in social support, and days worked per week. CONCLUSION: Public health workers experienced elevated levels of anxiety and depression during the initial pandemic response, but a reduction in these symptoms was observed in the subsequent year after vaccines had become widely available. However, unmet needs remain for ongoing workplace mental health supports to address burnout, as well as for additional emotional supports outside of work for public health professionals.

Perspectives Associated with Human Papillomavirus Vaccination in Adults: A Qualitative Study.

BACKGROUND: In the last several decades, vaccine hesitancy has become a significant global public health concern. The human papillomavirus (HPV) vaccine has been on the United States of America (USA) market since 2006, with extended approval up to age 45 granted in 2018. To date, there is limited research evaluating barriers and facilitators related to HPV vaccine initiation among adults and the influence of the COVID-19 pandemic on individuals' vaccine-related behaviors. This study's main objective was to characterize the contributing factors that could promote or inhibit HPV vaccine uptake for adults. METHODS: A qualitative approach consisting of focus group discussions (FGDs) was used for this study. The FGD guide was informed by concepts from the Transtheoretical Model, Health Belief Model, and Social Cognitive Theory. All virtual FGDs were led by two researchers, who recorded audio for data collection. The data were transcribed by a third party, and the transcripts were imported into Dedoose® software and analyzed using the six steps recommended by thematic analysis. RESULTS: A total of 35 individuals participated in 6 focus groups over a 6-month period. Thematic analysis revealed four themes: (1) Intrinsic motivators for HPV vaccination, (2) Extrinsic motivators for HPV vaccination, (3) Vaccine promotion strategies, and (4) Impact of COVID-19 Pandemic on vaccine hesitancy. CONCLUSION: Both intrinsic and extrinsic factors play a role in influencing HPV vaccine uptake, and such considerations can guide efforts to improve the odds of HPV vaccination in working-age adults.

Community Assessment for Public Health Emergency Response (CASPER) following Hurricane Michael: Gadsden, Calhoun, and Jackson Counties, Florida, 2020.

OBJECTIVES: To assess community preparedness and ongoing recovery efforts in the rural counties most severely impacted by Hurricane Michael, including structural and economic losses, injury and illness, healthcare access, and suicide risk and ideation. DESIGN: The Florida Department of Health conducted a Community Assessment for Public Health Emergency Response (CASPER) in January 2020, 15 months after Hurricane Michael made landfall in October 2018. SETTING: A total of 30 clusters were randomly selected from three rural counties in the Panhandle of Florida, including Jackson (15 clusters), Gadsden (11), and Calhoun (four) counties. PARTICIPANTS: A total of 185 face-to-face and two phone interviews were conducted with residents 18 years of age or older. MAIN OUTCOME MEASURE: Hurricane preparedness, structural and economic losses, access to care, and physical and mental health. RESULTS: Around 43 percent of respondents evacuated as a result of Hurricane Michael, and at least two-thirds of all respondents reported having an emergency supply kit and enough nonperishable food, water, and medication. Structural damage was extensive with 63 percent reporting home damage, averaging over $32,000. Few injuries or illnesses were reported post-landfall (9 percent), with the most common being minor injuries and bacterial infections. Most respondents reported continued access to healthcare if needed. The most common stress-related issues reported were difficulty sleeping (19 percent) and agitated behaviors (10 percent). Seven percent of respondents reported being at moderate to high risk for suicide. CONCLUSIONS: Rural areas may lack resources, such as healthcare facilities, skilled workers, and supplies, that hinder their ability to recover from storms when compared to more urban counties. Many residents reported that 15 months after the storm, their homes were still not fully repaired. A majority of residents were prepared with adequate supplies, had minimal disruption in employment or healthcare access, and had few illnesses or injuries during the storm or the recovery efforts.

Lessons Learned From the Public Health Workforce's Experiences With the COVID-19 Response.

Limited research is available on the COVID-19 response experiences of local, state, and federal public health workers in the United States. Although the response to COVID-19 is still presenting challenges to the public health workforce, public health systems must also begin to consider lessons learned that can be applied to future disasters. During July and August 2021, a random sample of participants from a cross-sectional study of the public health workforce was invited to participate in interviews to obtain information on the current state of public health operations, the ongoing response to the COVID-19 crisis, and takeaways for improving future preparedness and response planning. Interviews were transcribed and inductively coded to identify themes. Twenty-four initial interview invitations were sent, and random substitutions were made until thematic saturation was reached when 17 interviews were completed. Four thematic categories were identified, including challenges related to (1) ongoing lack of political support or policy guidance; (2) fluctuations in, and uncertainty about, future funding and associated requirements; (3) job expectations, including remote work and data-sharing capabilities; and (4) the mental health toll of sustained response and related burnout. As the public health response to the COVID-19 pandemic continues in its third year, it is crucial to identify lessons learned that can inform future investment in order to sustain a public health workforce and a public health preparedness and response system that is resilient to future disasters.

Heat exposure misclassification: Do current methods of classifying diurnal range in individually experienced temperatures and heat indices accurately reflect personal exposure?

Wearable sensors have been used to collect information on individual exposure to excessive heat and humidity. To date, no consistent diurnal classification method has been established, potentially resulting in missed opportunities to understand personal diurnal patterns in heat exposure. Using individually experienced temperatures (IET) and heat indices (IEHI) collected in the southeastern United States, this work aims to determine whether current methods of classifying IETs and IEHIs accurately characterize "day," which is typically the warmest conditions, and "night," which is typically the coolest conditions. IET and IEHI data from four locations were compared with the closest hourly weather station. Different day/night classifications were compared to determine efficacy. Results indicate that diurnal IET and IEHI ranges are higher than fixed-site ranges. Maximum IETs and IEHIs are warmer and occur later in the day than ambient conditions. Minimum IETs are lower and occur earlier in the day than at weather stations, which conflicts with previous assumptions that minimum temperatures occur at night. When compared to commonly used classification methods, a method of classifying day and night based on sunrise and sunset times best captured the occurrence of maximum IETs and IEHIs. Maximum IETs and IEHIs are often identified later in the evening, while minimum IETs and IEHIs occur throughout the day. These findings support future research focusing on nighttime heat exposure, which can exacerbate heat-related health issues, and diurnal patterns of personal exposure throughout the entire day as individual patterns do not necessarily follow the diurnal pattern seen in ambient conditions.

Community Assessment for Public Health Emergency Response (CASPER) Following Hurricane Michael, Bay and Gulf Counties, Florida, 2019.

CONTEXT: On October 10, 2018, Hurricane Michael made landfall near Mexico Beach, Florida, as one of the strongest storms on record to hit the US mainland. Hurricane Michael brought strong winds, heavy rain, and life-threatening storm surge, causing extensive damage across the Florida Panhandle. OBJECTIVES: To assess community preparedness and effects experienced by Panhandle residents, including structural and economic losses, injury and illness, health care access, and suicide risk and ideation in the counties most severely impacted by Hurricane Michael. DESIGN: The Florida Department of Health conducted a Community Assessment for Public Health Emergency Response (CASPER) in October and November 2019, a year after Hurricane Michael made landfall. CASPER is a 2-stage cluster sampling method designed to provide household-level information about a community's needs in a timely, inexpensive, and representative manner. SETTING: A total of 30 clusters were randomly selected from Bay and Gulf Counties, Florida. PARTICIPANTS: In total, 178 face-to-face interviews were completed with adult residents 18 years or older. MAIN OUTCOME MEASURES: Hurricane-related impacts, including structural and economic losses, injury and illness, health care access; and mental health. RESULTS: Almost half of respondents did not evacuate despite mandatory evacuation orders. Most houses (78.1%) received some damage, with more than half still not repaired 1 year later. Access to emergency supply kits, water, nonperishable foods, medications, and health care was common, though many reported needing supplies not included in their kit. Less than half reported having working household carbon monoxide detectors. Injuries and illnesses associated with the hurricane were uncommon; however, anxiety, depression, and insomnia were reported as occurring or worsening by more than one-third of respondents posthurricane. CONCLUSIONS: Increased education and communication regarding hurricane preparedness and recovery, which include clearer messaging on evacuation, improving emergency supply kits, importance of carbon monoxide detectors, and proper generator use, could enhance the safety of the community.

A Qualitative Study of the COVID-19 Response Experiences of Public Health Workers in the United States.

The mental health impacts of the COVID-19 pandemic on frontline, patient-facing healthcare staff have been described in several studies, but the effects of the COVID-19 response on the US public health workforce have not been well characterized. In early 2021, we conducted interviews with a subset of public health practitioners in the United States who participated in a cross-sectional survey and indicated their willingness to participate in a follow-up interview. An interview guide was developed to collect information about professional roles since the start of the pandemic, aspects of the individual COVID-19 response that impacted mental health, and aspects of the organizational/institutional COVID-19 response that impacted mental health, as well as the strengths and weaknesses of, opportunities for, and threats to public health professionals and organizations going forward. Interviews were transcribed and inductively coded to identify themes. Of the 48 people invited to participate, 24 completed an interview between January 28 and February 23, 2021. Five key themes were identified through inductive coding of interview transcripts: (1) teamwork and workplace camaraderie, (2) potential for growth in the field of public health, (3) considerations for adaptive work environments (eg, remote work, work out of jurisdiction, transition to telework), (4) politicization of response, and (5) constrained hiring capacity and burnout. After more than a year of public health emergency response to the COVID-19 pandemic, it is critically important to understand the detrimental and supportive factors of good mental health among the public health workforce.

Heat illness data strengthens vulnerability maps.

BACKGROUND: Previous extreme heat and human health studies have investigated associations either over time (e.g. case-crossover or time series analysis) or across geographic areas (e.g. spatial models), which may limit the study scope and regional variation. Our study combines a case-crossover design and spatial analysis to identify: 1) the most vulnerable counties to extreme heat; and 2) demographic and socioeconomic variables that are most strongly and consistently related to heat-sensitive health outcomes (cardiovascular disease, dehydration, heat-related illness, acute renal disease, and respiratory disease) across 67 counties in the state of Florida, U. S over 2008-2012. METHODS: We first used a case-crossover design to examine the effects of air temperature on daily counts of health outcomes. We employed a time-stratified design with a 28-day comparison window. Referent periods were extracted from ±7, ±14, or ± 21 days to address seasonality. The results are expressed as odds ratios, or the change in the likelihood of each health outcome for a unit change in heat exposure. We then spatially examined the case-crossover extreme heat and health odds ratios and county level demographic and socioeconomic variables with multiple linear regression or spatial lag models. RESULTS: Results indicated that southwest Florida has the highest risks of cardiovascular disease, dehydration, acute renal disease, and respiratory disease. Results also suggested demographic and socioeconomic variables were significantly associated with the magnitude of heat-related health risk. The counties with larger populations working in farming, fishing, mining, forestry, construction, and extraction tended to have higher risks of dehydration and acute renal disease, whereas counties with larger populations working in installation, maintenance, and repair workers tended to have lower risks of cardiovascular, dehydration, acute renal disease, and respiratory disease. Finally, our results showed that high income counties consistently have lower health risks of dehydration, heat-related illness, acute renal disease, and respiratory disease. CONCLUSIONS: Our study identified different relationships with demographic/socioeconomic variables for each heat-sensitive health outcome. Results should be incorporated into vulnerability or risk indices for each health outcome.

The impact of the COVID-19 response on the provision of other public health services in the U.S.: A cross sectional study.

INTRODUCTION: Funding and staff formerly dedicated to routine public health tasks (e.g., responding to communicable and non-communicable diseases, investigating foodborne outbreaks, conducting routine surveillance) and services (e.g., environmental health, substance abuse, maternal-child health) may no longer be available in many public health departments due to the COVID-19 response. The objective of this study was to assess the extent to which staffing for essential public health services has been redirected to the COVID-19 response. MATERIALS AND METHODS: This is a cross-sectional study using a survey distributed through the Qualtrics platform. Individuals (N = 298) working in public health across governmental and academic public health departments in the U.S. during the ongoing COVID-19 pandemic response were surveyed. Survey items measured multiple domains including professional experience (i.e., training, years of experience, content expertise, job functions, hours worked), mental and physical health status (i.e., generalized anxiety, depression, burnout), and career plans (i.e., pre-pandemic vs. current career plans). RESULTS: The total number of content expertise areas and programmatic functions covered by individual public health workers increased between January and September of 2020, with 26% (73 of 282) of respondents reporting an increase in both. The total number of respondents working in infectious disease and preparedness remained constant, while declines were reported in program evaluation (-36%) and health education (-27%) and increases were reported in disease investigation (+35%). CONCLUSIONS: The provision of many essential public health functions and tasks have been limited or eliminated while the U.S. public health workforce responds to the COVID-19 pandemic. These findings highlight opportunities for funding and professional development of public health systems, both during and after the COVID-19 response, to help ensure the continuity of essential public health services, staffing sustainability, and preparedness for future public health emergencies in the U.S.

Using social security number to identify sub-populations vulnerable to the health impacts from extreme heat in Florida, U.S.

BACKGROUND: Some socioeconomically vulnerable groups may experience disproportionately higher risk of extreme heat illness than other groups, but no study has utilized the presence/absence of a social security number (SSN) as a proxy for vulnerable sub-populations. METHODS: This study focused on the warm season from 2008 to 2012 in Florida, U.S. With a total number of 8,256,171 individual level health outcomes, we devised separate case-crossover models for five heat-sensitive health outcomes (cardiovascular disease, dehydration, heat-related illness, renal disease, and respiratory disease), type of health care visit (emergency department (ED) and hospitalization), and patients reporting/not reporting an SSN. Each stratified model also considered potential effect modification by sex, age, or race/ethnicity. RESULTS: Mean temperature raised the odds of five heat-sensitive health outcomes with the highest odds ratios (ORs) for heat-related illness. Sex significantly modified heat exposure effects for dehydration ED visits (Males: 1.145, 95 % CI: 1.137-1.153; Females: 1.110, 95 % CI: 1.103-1.117) and hospitalization (Males: 1.116, 95 % CI: 1.110-1.121; Females: 1.100, 95 % CI: 1.095-1.105). Patients not reporting an SSN between 25 and 44 years (1.264, 95 % CI: 1.192-1.340) exhibited significantly higher dehydration ED ORs than those reporting an SSN (1.146, 95 % CI: 1.136-1.157). We also observed significantly higher ORs for cardiovascular disease hospitalization from the no SSN group (SSN: 1.089, 95 % CI: 1.088-1.090; no SSN: 1.100, 95 % CI: 1.091-1.110). CONCLUSIONS: This paper partially supports the idea that individuals without an SSN could experience higher risks of dehydration (for those 25-45 years), renal disease, and cardiovascular disease than those with an SSN.

Public Health Workforce Burnout in the COVID-19 Response in the U.S.

While the health impacts of the COVID-19 pandemic on frontline health care workers have been well described, the effects of the COVID-19 response on the U.S. public health workforce, which has been impacted by the prolonged public health response to the pandemic, has not been adequately characterized. A cross-sectional survey of public health professionals was conducted to assess mental and physical health, risk and protective factors for burnout, and short- and long-term career decisions during the pandemic response. The survey was completed online using the Qualtrics survey platform. Descriptive statistics and prevalence ratios (95% confidence intervals) were calculated. Among responses received from 23 August and 11 September 2020, 66.2% of public health workers reported burnout. Those with more work experience (1-4 vs. <1 years: prevalence ratio (PR) = 1.90, 95% confidence interval (CI) = 1.08-3.36; 5-9 vs. <1 years: PR = 1.89, CI = 1.07-3.34) or working in academic settings (vs. practice: PR = 1.31, CI = 1.08-1.58) were most likely to report burnout. As of September 2020, 23.6% fewer respondents planned to remain in the U.S. public health workforce for three or more years compared to their retrospectively reported January 2020 plans. A large-scale public health emergency response places unsustainable burdens on an already underfunded and understaffed public health workforce. Pandemic-related burnout threatens the U.S. public health workforce's future when many challenges related to the ongoing COVID-19 response remain unaddressed.

Prenatal Opioid Exposure and ADHD Childhood Symptoms: A Meta-Analysis.

To systematically investigate the association between prenatal opioid exposure (POE) and attention-deficit hyperactivity disorder (ADHD) symptoms in children 2-18 years old, studies were searched using PubMed, CINAHL, PsycINFO, and Web of Science from January of 1950 to October of 2019. Inclusion criteria were observational studies reporting ADHD symptoms of children with POE compared with non-exposed children or normative data. The study protocol was registered with PROSPERO: CRD42018115967. Two independent reviewers extracted data on hyperactivity/impulsivity, inattention symptoms, ADHD combined subscale symptoms, and sample characteristics. Of 223 articles screened, seven met the inclusion criteria. Data represent 319 children with POE and 1308 non-exposed children from 4.3 to 11.2 mean years from five countries. POE was positively associated with childhood hyperactivity/impulsivity (d = 1.40; 95% CI, 0.49-2.31; p = 0.003), inattention (d = 1.35; 95% CI, 0.69-2.01; p < 0.0001), and combined ADHD symptoms scores (d = 1.27; 95% CI = 0.79-1.75; p < 0.0001). POE was positively associated with ADHD combined symptom scores at preschool (d = 0.83, 95% CI, 0.57, 1.09; p < 0.0001) and school age (d = 1.45, 95% CI, 0.85 to 2.04; p < 0.0001). Results suggest increased risk of ADHD symptoms during school age. Future research is needed to clarify the relationship between biological, social, and environmental risk and ADHD symptoms for children who experienced POE.

Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida.

Background Identifying social determinants of myocardial infarction (MI) hospitalizations is crucial for reducing/eliminating health disparities. Therefore, our objectives were to identify sociodemographic determinants of MI hospitalization risks and to assess if the impacts of these determinants vary by geographic location in Florida. Methods and Results This is a retrospective ecologic study at the county level. We obtained data for principal and secondary MI hospitalizations for Florida residents for the 2005-2014 period and calculated age- and sex-adjusted MI hospitalization risks. We used a multivariable negative binomial model to identify sociodemographic determinants of MI hospitalization risks and a geographically weighted negative binomial model to assess if the strength of associations vary by location. There were 645 935 MI hospitalizations (median age, 72 years; 58.1%, men; 73.9%, white). Age- and sex-adjusted risks ranged from 18.49 to 69.48 cases/10 000 persons, and they were significantly higher in counties with low education levels (risk ratio [RR]=1.033, P<0.0001) and high divorce rate (RR, 0.995; P=0.018). However, they were significantly lower in counties with high proportions of rural (RR, 0.996; P<0.0001), black (RR, 1.026; P=0.032), and uninsured populations (RR, 0.983; P=0.040). Associations of MI hospitalization risks with education level and uninsured rate varied geographically (P for non-stationarity test=0.001 and 0.043, respectively), with strongest associations in southern Florida (RR for

Florida neighborhood analysis of social determinants and their relationship to life expectancy.

BACKGROUND: Social determinants of health (SDOH) contribute to unequal life expectancy (LE). Only a handful of papers have analyzed these relationships at the neighborhood level as opposed to the county level. This study draws on both the SDOH and social vulnerability literature to identify relevant factors affecting LE. METHODS: LE was calculated from mortality records for Florida from 2009 to 2013 for 3640 census tracts with reliable estimates. A spatial Durbin error model (SDEM) quantified the direction and magnitude of the factors to LE. The SDEM contains a spatial error term and jointly estimates both local and neighborhood associations. This methodology controls for non-independence between census tracts to provide unbiased statistical estimates. RESULTS: Factors significantly related to an increase in LE, include percentage (%) of the population who identify as Hispanic (beta coefficient [ß]: 0.06, p-value [P] < 0.001) and % of age dependent populations (% population < 5 years old and % population > 65) (ß: 0.13, P < 0.001). Conversely, the following factors exhibited significant negative LE associations, % of households with no automobile (ß: -0.05, P < 0.001), % of mobile homes (ß: -0.02, P < 0.001), and % of female headed households (ß: -0.11, P < 0.001). CONCLUSIONS: Results from the SDEM demonstrate social vulnerability indicators account for additional geographic LE variability beyond commonly studied SDOH. Empirical findings from this analysis can help local health departments identify drivers of spatial health disparities at the local level.

Differences in Consumption of NASEM Priority Nutrients and Food Groups by Race/Ethnicity Among Women Living in WIC-Participating Households.

PURPOSE: To examine racial/ethnic differences in dietary intake of women in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). DESIGN: Cross-sectional study. SETTING: Data from the US National Health and Nutrition Examination Survey. PARTICIPANTS: Women 19 to 50 years of age living in WIC-participating households. MEASURES: Nutrient/food group intake from one 24-hour dietary recall. ANALYSIS: Multivariable linear regression was used to evaluate the relationship between race/ethnicity and nutrient/food group intake. RESULTS: Compared to non-Hispanic white women, Hispanic women had lower dietary energy density (1.7 ± 0.1 vs 2.2 ± 0.1 kcal/g, P < .001), and better nutrient intake, including more folate (429 ± 20 vs 364 ± 29 µg, P = .024), fiber (20.1 ± 0.9 vs 13.6 ± 0.9 g, P ≤ .001), and potassium (2575 ± 78 vs 2251 ± 66 mg, P = .012). This may be related to greater consumption of total vegetables (1.67 ± 0.16 vs 1.17 ± 0.17 cup equivalents [c-eq], P = .029), including more red and orange vegetables (0.64 ± 0.11 vs 0.32 vs 0.09 c-eq, P = .013) and more legumes (0.17 ± 0.04 vs 0.07 ± 0.02 c-eq, P = .006). Both Hispanic and non-Hispanic black women consumed more sodium (Hispanic: P = .015; non-Hispanic black: P = .008), but less added sugars (Hispanic: P ≤ .001; non-Hispanic black: P = .015), than non-Hispanic white women. CONCLUSION: These findings highlight differences in dietary intake by race/ethnicity and can inform nutrition messages of WIC nutrition educators and dietitians.

Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida.

Knowledge of geographical disparities in myocardial infarction (MI) is critical for guiding health planning and resource allocation. The objectives of this study were to identify geographic disparities in MI hospitalization risks in Florida and assess temporal changes in these disparities between 2005 and 2014. This study used retrospective data on MI hospitalizations that occurred among Florida residents between 2005 and 2014. We identified spatial clusters of hospitalization risks using Kulldorff's circular and Tango's flexible spatial scan statistics. Counties with persistently high or low MI hospitalization risks were identified. There was a 20% decline in hospitalization risks during the study period. However, we found persistent clustering of high risks in the Big Bend region, South Central and southeast Florida, and persistent clustering of low risks primarily in the South. Risks decreased by 7%-21% in high-risk clusters and by 9%-28% in low-risk clusters. The risk decreased in the high-risk cluster in the southeast but increased in the Big Bend area during the last four years of the study. Overall, risks in low-risk clusters were ahead those for high-risk clusters by at least 10 years. Despite MI risk declining over the study period, disparities in MI risks persist. Eliminating/reducing those disparities will require prioritizing high-risk clusters for interventions.