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Background: Short sleep and obstructive sleep apnea are underrecognized strains on the public health infrastructure. In the United States, over 35% of adults report short sleep and more than 80% of individuals with obstructive sleep apnea remain undiagnosed. The associations between inadequate sleep and cardiometabolic disease risk factors have garnered increased attention. However, challenges persist in modeling sleep-associated cardiometabolic disease risk factors., Objective: This study aimed to report early findings from the Short Sleep Undermines Cardiometabolic Health-Public Health Observational study (SLUMBRx-PONS)., Methods: Data for the SLUMBRx-PONS study were collected cross-sectionally and longitudinally from a nonclinical, rural community sample (n=47) in the southeast United States. Measures included 7 consecutive nights of wrist-based actigraphy (eg, mean of 7 consecutive nights of total sleep time [TST 7N ]), 1 night of sleep apnea home testing (eg, apnea-hypopnea index [AHI]), and a cross-sectional clinical sample of anthropometric (eg, BMI), cardiovascular (eg, blood pressure), and blood-based biomarkers (eg, triglycerides and glucose). Correlational analyses and regression models assessed the relationships between the cardiometabolic disease risk factors and the sleep indices (eg, TST 7N and AHI). Linear regression models were constructed to examine associations between significant cardiometabolic indices of TST 7N (model 1) and AHI (model 2)., Results: Correlational assessment in model 1 identified significant associations between TST 7N and AHI (r=-0.45, P=.004), BMI (r=-0.38, P=.02), systolic blood pressure (r=0.40, P=.01), and diastolic blood pressure (r=0.32, P=.049). Pertaining to model 1, composite measures of AHI, BMI, systolic blood pressure, and diastolic blood pressure accounted for 25.1% of the variance in TST 7N (R 2 adjusted =0.25; F 2,38 =7.37; P=.002). Correlational analyses in model 2 revealed significant relationships between AHI and TST 7N (r=-0.45, P<.001), BMI (r=0.71, P<.001), triglycerides (r=0.36, P=.03), and glucose (r=0.34, P=.04). Results from model 2 found that TST 7N , triglycerides, and glucose accounted for 37.6% of the variance in the composite measure of AHI and BMI (R 2 adjusted =0.38; F 3,38 =8.63; P<.001)., Conclusions: Results from the SLUMBRx-PONS study highlight the complex interplay between sleep-associated risk factors for cardiometabolic disease. Early findings underscore the need for further investigations incorporating the collection of clinical, epidemiological, and ambulatory measures to inform public health, health promotion, and health education interventions addressing the cardiometabolic consequences of inadequate sleep., International Registered Report Identifier (irrid): RR2-10.2196/27139., (©Adam P Knowlden, Lee J Winchester, Hayley V MacDonald, James D Geyer, John C Higginbotham. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.11.2024.)

Study Design: Cross-sectional cohort study., Objectives: To examine: (1) the self-reported frequency of specific prescription benzodiazepine use, (2) concurrent benzodiazepine and opioid use, and (3) sociodemographic, SCI, and opioid use factors associated with frequent benzodiazepine use., Setting: Community., Methods: Participants included 918 community dwelling adults with chronic ( > 1 year) traumatic SCI originally identified from a specialty hospital or a state-based surveillance system. Self-reported frequency of specific prescription benzodiazepines and opioids used, concurrent use, and factors associated with use were assessed., Results: Twenty percent reported any benzodiazepine use in the past year and 13% reported at least weekly use. Concurrent daily or weekly use of benzodiazepines and opioids was reported by 6.5%, with those individuals taking an average of 1.1 (0.4) benzodiazepines and 1.4 (0.6) opioids. Compared to younger adults, those 50-65 years old had lower odds of at least weekly benzodiazepine use (OR = 0.50, 95% CI, 0.29-0.89, p-value = 0.02). Non-Hispanic Blacks reported lower use of benzodiazepines compared to non-Hispanic whites (OR = 0.32, 95% CI, 0.15-0.68, p-value = <0.01). Weekly opioid use was associated with higher odds of using benzodiazepines (OR = 3.10, 95%CI, 1.95-4.95, p-value = <0.01)., Conclusions: Benzodiazepine use was commonly reported among those with SCI. Despite the potential risks, a high portion of those who reported benzodiazepine use also reported prescription opioid use. The findings highlight the need for monitoring of prescription medication use to avoid potentially risky concurrent use and adverse outcomes., (© 2024. The Author(s).)

Air pollution and greenness are environmental determinants of mental health, though existing evidence typically considers each exposure in isolation. We evaluated relationships between co-occurring air pollution and greenspace levels and depression and anxiety. We estimated cross-sectional associations among 9015 Gulf Long-term Follow-up Study participants living in the southeastern U.S. who completed the Patient Health Questionnaire-9 (depression: score ≥ 10) and Generalized Anxiety Disorder Questionnaire-7 (anxiety: score ≥ 10). Participant residential addresses were linked to annual average concentrations of particulate matter (1 km PM 2.5 ) and nitrogen dioxide (1 km NO 2 ), as well as satellite-based greenness (2 km Enhanced Vegetation Index (EVI)). We used adjusted log-binomial regression to estimate prevalence ratios (PR) and 95 % confidence intervals (CI) for associations between exposures (quartiles) and depression and anxiety. In mutually adjusted models (simultaneously modeling PM 2.5 , NO 2 , and EVI), the highest quartile of PM 2.5 was associated with increased prevalence of depression (PR = 1.17, 95 % CI: 1.06-1.29), whereas the highest quartile of greenness was inversely associated with depression (PR = 0.89, 95 % CI: 0.80-0.99). Joint exposure to greenness mitigated the impact of PM 2.5 on depression (PR PM only  = 1.20, 95 % CI: 1.06-1.36; PR PM+green  = 0.98, 95 % CI: 0.83-1.16) and anxiety (PR PM only  = 1.10, 95 % CI: 1.00-1.22; PR PM+green  = 0.95, 95 % CI: 0.83-1.09) overall and in subgroup analyses. Observed associations were stronger in urbanized areas and among nonwhite participants, and varied by neighborhood deprivation. NO 2 exposure was not independently associated with depression or anxiety in this population. Relationships between PM 2.5 , greenness, and depression were strongest in the presence of characteristics that are highly correlated with lower socioeconomic status, underscoring the need to consider mental health as an environmental justice issue., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Objectives: The COVID-19 pandemic has revealed significant differences in COVID-19 vaccination rates, with African Americans reporting lower rates compared to other racial and ethnic groups. The purpose of these analyses was to assess whether COVID-19 vaccination status differed according to age in a sample of 1,240 African American adult congregants of faith-based organizations ages 18 years or older, and to examine whether this association was moderated by gender., Design: We developed and administered a 75-item cross-sectional survey, the Triad Pastor's Network COVID-19 and COVID-19 Vaccination survey, to assess experiences and perceptions regarding the COVID-19 virus and vaccines. We assessed the association between age and having received > 1 dose of a COVID-19 vaccine using unadjusted and multivariable binary logistic regression models, and the interaction of age and gender with COVID-19 vaccination status in a multivariable model., Results: Approximately 86% of participants reported having received ≥ 1 dose of a COVID-19 vaccine. The mean age (standard deviation) of the sample was 51.33 (16.62) years, and 70.9% of the sample was comprised of women. The age by gender interaction term in the multivariable model was significant (p = 0.005), prompting additional analyses stratified by gender. In women, increased age was significantly associated with higher odds of COVID-19 vaccination (odds ratio = 1.09; 95% Confidence Interval 1.06, 1.11; p < 0.001). In men, the association was not significant (p = 0.44)., Conclusions: Older age was positively associated with COVID-19 vaccination in African American women, but not African American men, which may inform strategies to increase vaccination rates., (© 2023. W. Montague Cobb-NMA Health Institute.)

Objective: To identify the relations of 3 frequently used prescription opioids (hydrocodone, oxycodone, tramadol) with unintentional injuries, including fall-related and non-fall-related injuries among adults with chronic, traumatic spinal cord injury (SCI)., Design: Cross-sectional cohort study., Setting: Community setting; Southeastern United States., Participants: Adult participants (N=918) with chronic traumatic SCI were identified from a specialty hospital and state population-based registry and completed a self-report assessment., Interventions: Not applicable., Main Outcome Measures: Self-reported fall-related and non-fall-related unintentional injuries serious enough to receive medical care in a clinic, emergency room, or hospital within the previous 12 months., Results: Just over 20% of participants reported ≥1 unintentional injury in the past year, with an average of 2.16 among those with ≥1. Overall, 9.6% reported fall-related injuries. Only hydrocodone was associated with any past-year unintentional injuries. Hydrocodone taken occasionally (no more than monthly) or regularly (weekly or daily) was related to 2.63 (95% confidence interval [CI], 1.52-4.56) or 2.03 (95% CI, 1.15-3.60) greater odds of having ≥1 unintentional injury in the past year, respectively. Hydrocodone taken occasionally was also associated with past-year non-fall-related injuries (OR, 2.20; 95% CI, 1.12-4.31). Each of the 3 opioids was significantly related to fall-related injuries. Taking hydrocodone occasionally was associated with 2.39 greater odds of fall-related injuries, and regular use was associated with 2.31 greater odds. Regular use of oxycodone was associated with 2.44 odds of a fall-related injury (95% CI, 1.20-4.98), and regular use of tramadol was associated with 2.59 greater odds of fall-related injury (95% CI, 1.13-5.90)., Conclusions: Injury prevention efforts must consider the potential effect of opioid use, particularly hydrocodone. For preventing fall-related injuries, each of the 3 opioids must be considered., (Copyright © 2024. Published by Elsevier Inc.)

To determine if decreasing lifetime use of methamphetamines, cocaine, ecstasy, and inhalants among high school students occurring from 2009 to 2019 in the U.S. also occurred in five southeastern states, Youth Risk Behavior Survey data representative of high school students in grades 9-12 in 2009 and 2019 were analyzed. In a classroom setting, lifetime use of methamphetamines, cocaine, ecstasy, and inhalants were self-reported. Students nationwide (n = 30,087) were compared to students in Alabama, Georgia, Louisiana, Mississippi, and South Carolina (n = 18,237). Lifetime methamphetamine use significantly increased from 4.8% in 2009 to 6.2% in 2019 in the southeast but decreased from 4.1 to 2.2% nationwide. Use of cocaine, ecstasy, and inhalants remained stable in the southeast while decreasing significantly nationwide from 2009 to 2019. During a period when use of methamphetamines, cocaine, ecstasy, and inhalants among high school students in the U.S. decreased, use in southeastern states did not change. Culturally specific programs and interventions may be needed to prevent illicit drug use in communities of southeastern states where youth remain at risk., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: The COVID-19 pandemic has posed unprecedented pressure to health care systems, and interrupted health care delivery and access including HIV care in the United States' Deep South, which endures a double epidemic of HIV and COVID-19. Ryan White programs cover HIV care services for over half of PLWH in the Deep South. Given the important role of Ryan White programs, examining the visitation changes to Ryan White facilities during the pandemic offers insights into the impact of the pandemic on HIV healthcare utilization., Objectives: Analyze the geographic distribution of HIV facility visitors at the county level before and during the pandemic in the nine US states of Deep South (Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Texas) to reveal the geographic and racial disparity in visitation disruption caused by the pandemic., Methods: We first extracted mobile device-based visitation data for Ryan White HIV facilities in the Deep South during 2019 and 2020. To quantify the disruption in visitations during 2020, we calculated the visitation reduction rate (VRR) for each county, using 2019 data as the baseline. Next, we conducted a spatial analysis of the VRR values to uncover geographical disparities in visitation interruptions. To investigate racial disparities, we performed spatial regression analyses with VRR as the dependent variable, and the percentages of Black, Hispanic, and Asian populations as the independent variables. In this analysis, we controlled for potential confounders., Results: Geographic disparities in visitation reduction were observed, with all nine Deep South states experiencing significant drops. Georgia experienced the highest visitation loss (VRR = -0.58), followed by Texas (-0.47), Alabama (0.47), and Tennessee (-0.46), while South Carolina had the smallest reductions (-0.11). All the regression models consistently revealed racial disparities in visitation interruption. That is, counties with a higher proportion of Black population tended to have higher RW facility visitation reductions., Conclusions: Our analysis revealed distinct geographic disparities in visitation interruptions at Ryan White HIV facilities in the Deep South during the COVID-19 pandemic in 2020. Furthermore, we found that the Black/African American population experienced a greater disruption at the county level in the Deep South during this period., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Advancements in machine learning (ML) have improved the accuracy of models that predict human immunodeficiency virus (HIV) incidence. These models have used electronic medical records and registries. We aim to broaden the application of these tools by using deidentified public health datasets for notifiable sexually transmitted infections (STIs) from a southern US county known for high HIV incidence. The goal is to assess the feasibility and accuracy of ML in predicting HIV incidence, which could inform and enhance public health interventions., Methods: We analyzed 2 deidentified public health datasets from January 2010 to December 2021, focusing on notifiable STIs. Our process involved data processing and feature extraction, including sociodemographic factors, STI cases, and social vulnerability index (SVI) metrics. Various ML models were trained and evaluated for predicting HIV incidence using metrics such as accuracy, precision, recall, and F1 score., Results: We included 85 224 individuals; 2027 (2.37%) were newly diagnosed with HIV during the study period. The ML models demonstrated high performance in predicting HIV incidence among males and females. Influential features for males included age at STI diagnosis, previous STI information, provider type, and SVI. For females, predictive features included age, ethnicity, previous STI information, overall SVI, and race., Conclusions: The high accuracy of our ML models in predicting HIV incidence highlights the potential of using public health datasets for public health interventions such as tailored HIV testing and prevention. While these findings are promising, further research is needed to translate these models into practical public health applications., Competing Interests: Potential conflicts of interest . C. S. reports grants from the National Institutes of Health and consultancy as a medical advisor for the Office of HIV/AIDS of the Georgia Department of Public Health and ViiV Healthcare. E. B. reports Prevention and Control for Health Departments grant support. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Objective: We aimed to investigate sociodemographic factors associated with self-reported COVID-19 infection., Methods: The study population was a prospective multicenter cohort of adult volunteers recruited from healthcare systems located in the mid-Atlantic and southern United States. Between April 2020 and October 2021, participants completed daily online questionnaires about symptoms, exposures, and risk behaviors related to COVID-19, including self-reports of positive SARS CoV-2 detection tests and COVID-19 vaccination. Analysis of time from study enrollment to self-reported COVID-19 infection used a time-varying mixed effects Cox-proportional hazards framework., Results: Overall, 1,603 of 27,214 study participants (5.9%) reported a positive COVID-19 test during the study period. The adjusted hazard ratio demonstrated lower risk for women, those with a graduate level degree, and smokers. A higher risk was observed for healthcare workers, those aged 18-34, those in rural areas, those from households where a member attends school or interacts with the public, and those who visited a health provider in the last year., Conclusions: We identified subgroups within healthcare network populations defined by age, occupational exposure, and rural location reporting higher than average rates of COVID-19 infection for our surveillance population. These subgroups should be monitored closely in future epidemics of respiratory viral diseases., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Beron et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: In March 2020, the novel 2019 coronavirus disease (COVID-19) was declared a pandemic. In May 2020, George Floyd was murdered, catalyzing a national racial reckoning. In the Southern United States, these events occurred in the context of a history of racism and high rates of poverty and discrimination, especially among racially and ethnically minoritized populations., Objectives: In this study, we examine social vulnerabilities, the perceived impacts of COVID-19 and the national racial reckoning, and how these are associated with depression symptoms in the South., Methods: Data were collected from 961 adults between June and November 2020 as part of an online survey study on family well-being during COVID-19. The sample was majority female (87.2%) and consisted of 661 White participants, 143 Black participants, and 157 other racial and ethnic minoritized participants. Existing social vulnerability, perceived impact of COVID-19 and racial violence and protests on families, and depressive symptoms were assessed. Hierarchical regression analysis was used to predict variance in depressive symptoms., Results: Half of the sample (52%) reported a negative impact of COVID-19, and 66% reported a negative impact of national racial violence/protests. Depressive symptoms were common with 49.8% meeting the cutoff for significant depressive symptoms; Black participants had lower levels of depressive symptoms. Results from the hierarchical regression analysis indicate social vulnerabilities and the perceived negative impact of COVID-19 and racial violence/protests each contribute to variance in depressive symptoms. Race-specific sensitivity analysis clarified distinct patterns in predictors of depressive symptoms., Conclusion: People in the South report being negatively impacted by the confluence of the COVID-19 pandemic and the emergence of racial violence/protests in 2020, though patterns differ by racial group. These events, on top of pre-existing social vulnerabilities, help explain depressive symptoms in the South during 2020., Competing Interests: Declarations Ethics Approval Approval was granted by the Institutional Review Board at Duke University, Protocol: 2020–0496. Consent to Participate Informed consent was obtained from all individual participants included in the study. Competing Interests The authors declare no competing interests., (© 2023. W. Montague Cobb-NMA Health Institute.)

Importance: No clear process exists for categorizing social risks in a way that informs effective social risk screening and intervention development., Objective: To investigate social risk profiles and associations of those profiles with clinical outcomes in adults with diabetes using latent profile analysis., Design, Setting, and Participants: For this cross-sectional study, a latent profile analysis was conducted using data for adults with type 2 diabetes collected at 2 primary care clinics in the Southeastern US from 2013 to 2014. Data were analyzed from November to December 2023., Main Outcomes and Measures: Participants completed validated questionnaires for 26 social risk factors within 5 domains of social determinants of health: socioeconomic, neighborhood, education, food, and social and community context. In addition, participants completed questions that assessed psychological risk and behavioral risk. A 3-step latent profile analysis was used to identify different subgroups within the sample. Profiles were then regressed on outcomes of hemoglobin A1c (HbA1c), blood pressure, and quality of life., Results: A total of 615 participants (mean [SD] age, 61.3 [10.9] years; 379 men [61.6%]) were included. Five latent class profiles were identified. The lowest risk group had significantly higher mental health-related quality of life compared with a group with higher neighborhood risk (β, 1.11; 95% CI, 0.67 to 1.55). The second group had low economic risk but high neighborhood risk and served as the reference group. The third group had high economic and neighborhood risk and had significantly higher blood pressure (β, 8.08; 95% CI, 2.16 to 14.01) compared with the reference. The fourth group had high psychological and behavioral risks but low socioeconomic and neighborhood risks. This group had significantly higher HbA1c (β, 0.47; 95% CI, 0.01 to 0.92) and lower mental health-related quality of life (β, -1.83; 95% CI, -2.41 to -1.24) compared with the reference. The highest risk group indicated high risk in all domains, had significantly higher HbA1c (β, 1.07; 95% CI, 0.50 to 1.63), and had lower mental health-related quality of life (β, -2.15; 95% CI, -2.87 to -1.42) compared with the reference., Conclusions and Relevance: These findings suggest that social risk profiles can be identified according to social, psychological, and behavioral risk domains and the health outcome of concern among adults with diabetes. Future work should consider the use of social risk profiles in intervention development and testing.

Representing 68% of firearm-related injuries, nonfatal firearm injuries cause substantial morbidity and are associated with high costs to patients and the health care system. A retrospective analysis was performed to evaluate 359 adults in the Southeastern United States from 2019 to 2021. IBM SPSS was used for descriptive and parametric statistical analysis. The mean total cost of stay (TCOS) was $36,639.12, length of stay (LOS) was 8.61 days, number of times to the operating room was 1.88, and number of follow-ups was 3.21. Vascular and traumatic brain injuries were associated with higher TCOS and LOS. Vascular injuries were associated with more operating room visits. Bony injuries and non-TBI neurological injuries were associated with more follow-up appointments. In this brief report, we aim to understand the effect injury types have on these factors to help inform trauma protocol development with the goal of decreasing financial burdens., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objectives: Acculturative stress is an important factor that affects health for Latinx immigrants in the US, with multiple studies identifying a link between depression and acculturative stress in this population. However, far fewer studies have examined the specific role and relationship of acculturative stress on mental health service use in this population. Through the lens of Yang's 2016 Model of Immigrant Health Service Use, this study aimed to examine the role of acculturative stress in predicting mental health service use in a sample of Latinx immigrants in the Southeast US., Design: We conducted a secondary data analysis from a longitudinal study of Latinx immigrant health ( n  = 391)., Results: Our study found that while total acculturative stress was not significantly associated with mental health service use in this sample, parenting stress was a significant predictor of mental health service use in the past six months when controlling for covariates (OR: 1.043, 95% CI [1.009, 1.078]). Additionally, important Predisposing and Need for Healthcare factors were significantly associated with mental health service use, specifically: males were less likely to utilize mental health services than females (OR: 0.401, 95% CI [0.166-0.968]), English language acculturation was positively associated with mental health service use (OR: 1.953, 95% CI [1.130, 3.377]), and depression was positively associated with mental health service use (OR: 1.107, 95% CI [1.027, 1.194])., Conclusion: These findings support the need for more culturally sensitive mental health services, and the need to develop strategies to engage males and less acculturated individuals in mental health services to promote health equity among Latinx immigrants.

Introduction: Breast cancer treatment patterns and quality of care among patients experiencing incarceration are underexplored. This study examined associations between incarceration and breast cancer disease and treatment characteristics., Methods: This retrospective analysis was conducted at a tertiary center in the Southeastern United States that serves as the state's safety-net hospital and primary referral site for the state's prisons. All patients ≥18 years diagnosed with breast cancer between 4/14/2014-12/30/2020 were included. Incarceration status was determined through electronic health record review. Linear regression was used to estimate the association of incarceration with time to treatment. Unadjusted overall survival (OS) was estimated using the Kaplan-Meier method with log-rank tests to compare groups., Results: Of the 4329 patients included, 30 (0.7%) were incarcerated at the time of diagnosis or treatment (DI) and 4299 (99.3%) had no incarceration history (NI). Compared to patients who were NI, patients who were DI were younger (p < 0.001), more likely to be unmarried (p < 0.001), and more likely to have family history of breast cancer (p = 0.02). Patients who were DI had an increased time from diagnosis to neoadjuvant chemotherapy (+47.2 days on average, 95% CI 3.9-90.5, p = 0.03) and from diagnosis to surgery (+20 days on average, 95% CI 6.5-33.5, p = 0.02) compared to NI patients. No difference in OS was observed (log-rank p = 0.70)., Conclusions: Patients who are incarcerated experienced significant delays in breast cancer care. While no differences in mortality were appreciated, these findings are concerning, as they indicate poorer care coordination for patients who are incarcerated. Further research is necessary to understand the full scope of these disparities and elucidate factors that contribute to them., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Objectives: To examine the relations of pain intensity, opioid use, and opioid misuse with depressive symptom severity and probable major depression (PMD) among participants with spinal cord injuries (SCI), controlling for demographic, injury, and socioeconomic characteristics., Study Design: Cohort study., Setting: Medical University in the Southeastern United States (US)., Participants: Participants (N=918) were identified from 1 of 2 sources including a specialty hospital and a state-based surveillance system in the Southeastern US. Participants were a minimum of 18 years old at enrollment and had SCI with non-complete recovery. Participants were on average 57.5 years old at the time of the study and an average of 24.4 years post SCI onset., Interventions: Not applicable., Main Outcome Measures: Participants completed a self-report assessment that included frequency of prescription opioid use and misuse, based on the National Survey on Drug Use and Health (NSDUH), and the PHQ - 9 to measure depressive symptom severity and PMD., Results: Opioid use, opioid misuse, and pain intensity were related to elevated depressive symptom severity and higher odds of PMD. Non-Hispanic Blacks had fewer depressive symptoms and lower odds of PMD, as did those with higher incomes. Veterans had lower risk of PMD, whereas ambulatory participants had a higher risk of PMD. Age at SCI onset had a mixed pattern of significance, whereas years of education and years since injury were not significant., Conclusions: The relation between pain intensity with depressive symptom severity and PMD was profound, consistent with the biopsychosocial model of pain. The greater risk of PMD and higher depressive symptom severity among those using opioids and misusing opioids raises further concern about long-term prescription opioid use. Alternative treatments are needed., (Published by Elsevier Inc.)

Introduction: Low socioeconomic status has been linked to increased mortality. However, the impacts of poverty, alone or combined with health behaviors, on mortality and life expectancy have not been adequately investigated., Methods: Data from the Southern Community Cohort Study was used, including nearly 86,000 participants recruited during 2002-2009 across 12 US southeastern states. Analysis was conducted from February 2022 to January 2023., Results: During a median follow-up of 12.1 years, 19,749 deaths were identified. A strong dose-response relationship was found between household incomes and mortality, with a 3.3-fold (95%CI=3.1-3.6) increased all-cause mortality observed for individuals in the lowest income group (<$15,000/year) compared with those in the highest group (≥$50,000/year). Within each income group, mortality monotonically increased with declining healthy lifestyle score. Risk was significantly lower among those in the lowest income but healthiest lifestyle group, compared to those with the highest income but unhealthiest lifestyle (HR=0.82, 95%CI=0.69-0.97). Poor White participants appeared to experience higher all-cause mortality than poor Black participants. Life expectancy was more than 10.0 years shorter for those in the lowest income group compared with those in the highest income group., Conclusions: Poverty is strongly associated with increased risk of death, but the risks could be modestly abated by a healthier lifestyle. These findings call for a comprehensive strategy for enhancing a healthy lifestyle and improving income equality to reduce death risks, particularly among those experiencing health disparities due to poverty., (Copyright © 2024 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: In this study, we describe community-based nonpharmaceutical interventions (NPIs) incorporated into COVID-19 mitigation protocols, and SARS-CoV-2 incidence at five faith-based summer camps in the US., Study Design: Retrospective cohort study., Methods: Six southeastern states within the United States (13 sites) were assessed from May 30 to August 14, 2021 (13 sites; N = 13,132; May-August 2021). Camp mitigation policies and NPIs (including masking, vaccinations, meal arrangements, physical distancing, pre-arrival testing, symptom screening, quarantine/isolation, and ventilation upgrades), and SARS-CoV-2 infections were tracked at each site., Results: The symptomatic primary case attack rate was 24.7 (range: 0.0-120.0) cases per 100,000 people per week. Fewer infections were observed in camps with greater mitigation protocols., Conclusion: These findings suggest that nonpharmaceutical mitigation can promote stable access to youth programs for historically vaccine-hesitant subgroups. Policy recommendations for nonpharmaceutical interventions to prevent respiratory viral transmission in overnight youth faith-based camp settings may include outdoor activities, accessible symptomatic tests, prearrival testing, indoor mask use, small cohorts, physical distancing, and protocols to minimize staff exposures during time off., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objective: We sought to determine the association of hormonal contraception (HC) and cardiometabolic outcomes among women with human immunodeficiency virus (HIV). Methods: We included women with HIV aged 18-45 years in clinical care in the Southeastern United States between 1998 and 2018. Oral and injectable HC use was captured from medication records. Our outcomes included incident cardiovascular/thrombotic disease (CVD) (atherosclerosis, hypertension, cerebrovascular disease, thrombosis, and heart failure) and incident metabolic disorders (diabetes, dyslipidemia, obesity, and non-alcoholic steatohepatitis). We excluded women with prevalent conditions. We used multivariable marginal structural models to examine time-varying current and cumulative HC use and cardiometabolic outcomes in separate analyses, adjusting for age, race, smoking, time-varying comorbidities, CD4 cell count, HIV RNA, and antiretroviral use. Women with HC exposure were compared with women without HC exposure. Results: Among the 710 women included, 201 women (28%) used HC. CVD analyses included 603 women without prevalent CVD and 93 incident events; metabolic analyses included 365 women without prevalent metabolic disease and 150 incident events. Current and cumulative oral HC use was associated with increased odds of CVD, though this was not statistically significant (adjusted odds ratio [aOR] = 2.08, [95% confidence interval (CI): 0.80-5.43] and aOR = 1.24 [95% CI: 0.96-1.60] per year of use, respectively). Oral HC was not associated with risk of incident metabolic disorders. Depot medroxyprogesterone acetate (DMPA) was not associated with risk of incident CVD. Current and cumulative DMPA use was significantly associated with decreased odds of incident metabolic disorders (aOR = 0.48 [95% CI: 0.23, 1.00] and aOR = 0.65 [95% CI: 0.42-1.00] per year of use, respectively). Conclusion: Our results suggest that cardiovascular risk should be considered when selecting contraception for women with HIV.

Background: Residing in a disadvantaged neighborhood has been linked to increased mortality. However, the impact of residential segregation and social vulnerability on cause-specific mortality is understudied. Additionally, the circulating metabolic correlates of neighborhood sociodemographic environment remain unexplored. Therefore, we examined multiple neighborhood sociodemographic metrics, i.e., neighborhood deprivation index (NDI), residential segregation index (RSI), and social vulnerability index (SVI), with all-cause and cardiovascular disease (CVD) and cancer-specific mortality and circulating metabolites in the Southern Community Cohort Study (SCCS)., Methods: The SCCS is a prospective cohort of primarily low-income adults aged 40-79, enrolled from the southeastern United States during 2002-2009. This analysis included self-reported Black/African American or non-Hispanic White participants and excluded those who died or were lost to follow-up ≤ 1 year. Untargeted metabolite profiling was performed using baseline plasma samples in a subset of SCCS participants., Results: Among 79,631 participants, 23,356 deaths (7214 from CVD and 5394 from cancer) were documented over a median 15-year follow-up. Higher NDI, RSI, and SVI were associated with increased all-cause, CVD, and cancer mortality, independent of standard clinical and sociodemographic risk factors and consistent between racial groups (standardized HRs among all participants were 1.07 to 1.20 in age/sex/race-adjusted model and 1.04 to 1.08 after comprehensive adjustment; all P < 0.05/3 except for cancer mortality after comprehensive adjustment). The standard risk factors explained < 40% of the variations in NDI/RSI/SVI and mediated < 70% of their associations with mortality. Among 1110 circulating metabolites measured in 1688 participants, 134 and 27 metabolites were associated with NDI and RSI (all FDR < 0.05) and mediated 61.7% and 21.2% of the NDI/RSI-mortality association, respectively. Adding those metabolites to standard risk factors increased the mediation proportion from 38.4 to 87.9% and 25.8 to 42.6% for the NDI/RSI-mortality association, respectively., Conclusions: Among low-income Black/African American adults and non-Hispanic White adults living in the southeastern United States, a disadvantaged neighborhood sociodemographic environment was associated with increased all-cause and CVD and cancer-specific mortality beyond standard risk factors. Circulating metabolites may unveil biological pathways underlying the health effect of neighborhood sociodemographic environment. More public health efforts should be devoted to reducing neighborhood environment-related health disparities, especially for low-income individuals., (© 2024. The Author(s).)

Background: Data on the epidemiology of sexually transmitted infections (STIs) among transgender women (TGW) with and without human immunodeficiency virus (HIV) are limited., Methods: We analyzed baseline data collected from a cohort of adult TGW across 6 eastern and southern US cities between March 2018 and August 2020 (n = 1018). Participants completed oral HIV screening, provided self-collected rectal and urogenital specimens for chlamydia and gonorrhea testing, and provided sera specimens for syphilis testing. We assessed associations with ≥1 prevalent bacterial STI using modified Poisson regression., Results: Bacterial STI prevalence was high and differed by HIV status: 32% among TGW with HIV and 11% among those without HIV (demographic-adjusted prevalence ratio = 1.91; 95% confidence interval = 1.39-2.62). Among TGW without HIV, bacterial STI prevalence differed by geographic region, race and ethnicity, and gender identity, and was positively associated with reporting >1 sexual partner, hazardous alcohol use, homelessness, having safety concerns regarding transit to health care, and no prior receipt of gender-affirming health services. Among TGW with HIV, older age was inversely associated with bacterial STI., Conclusions: TGW had a high prevalence of bacterial STIs. The prevalence and correlates of bacterial STI differed by HIV status, highlighting the unique needs and risks of TGW with and without HIV. Tailored interventions may reduce sexual health-related inequities., Competing Interests: Potential conflicts of interest. All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (Published by Oxford University Press on behalf of Infectious Diseases Society of America 2024.)

The purpose of this descriptive-exploratory study was to identify profiles of mental health among undergraduate nursing students to understand the relationship between student's mental health profiles and relevant risk and protective factors at the onset of COVID-19. Latent Class Analysis (LCA) was employed to cull these students' mental health profiles (yielding 3 profiles) using data collected from 277 participants enrolled in a four-year BSN Program at a large, public institution in the Southeastern United States. Relational analyses of these profiles indicated that students who were the most vulnerable for mental health challenges also had the highest resilience and coping scores., Competing Interests: Declaration of competing interest The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Paget disease of bone (PDB) is a disorder of accelerated bone remodeling resulting in bone overgrowth and impaired integrity that traditionally is described to be more frequent in individuals of European descent. Based on clinical observation, we hypothesized that among the US Southeastern Veteran population, the disease is more common among African American patients., Materials and Methods: We conducted a cross-sectional study using the Veterans Affairs' Clinical Data Warehouse (CDW) and review of electronic medical records (EMR). Using the CDW, we identified patients from the Birmingham VA Medical Center (BVAMC) with an International Classification of Diseases code for PDB between January 2000 and December 2020. We extracted their self-reported race from the CDW and determined the proportion of African American patients, which we compared to the proportion of White patients. As a secondary goal, we extracted relevant clinical characteristics from the EMR. The statistical analysis was done using Stata/SE 14.2 for Mac., Results: We identified 285 individuals from the BVAMC with PDB between January 2000 and December 2020. The proportion of African American patients was significantly higher than White patients (0.51 vs. 0.4, p = 0.0036). African American patients presented at a younger age than their peers (mean[standard deviation] age at diagnosis: 64.6[11.6] vs. 70.1[10.7] years, p = 0.0009) but did not have higher alkaline phosphatase levels, higher proportion of polyostotic disease, or of symptoms and complications., Conclusions: In the BVAMC population, PDB is more common among African American patients than White patients. Our findings and other publications hint at the existence of a cluster of PDB among the African American population in the US Southeast., Competing Interests: Declaration of competing interest The authors have no relevant conflicts of interest to declare., (Copyright © 2024 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.)

Introduction: Federally Qualified Health Centers may increase access to HIV prevention, care, and treatment for at-risk populations., Methods: A pooled cross section of ZIP Code Tabulation Areas from cites in the U.S. South with high HIV diagnoses were used to examine Federally Qualified Health Center density and indicators of HIV epidemic control. The explanatory variable was Federally Qualified Health Center density-number of Federally Qualified Health Centers in a ZIP Code Tabulation Areas' Primary Care Service Area per low-income population-high versus medium/low (2019). Outcomes were 5-year (2015-2019 or 2014-2018) (1) number of new HIV diagnoses, (2) percentage late diagnosis, (3) percentage linked to care, and (4) percentage virally suppressed, which was assessed over 1 year (2018 or 2019). Multiple linear regression was used to examine the relationship, including ZIP Code Tabulation Area-level sociodemographic and city-level HIV funding variables, with state-fixed effects, and data analysis was completed in 2022-2023. Sensitivity analyses included (1) examining ZIP Code Tabulation Areas with fewer non-Federally Qualified Health Center primary care providers, (2) controlling for county-level primary care provider density, (3) excluding the highest HIV prevalence ZIP Code Tabulation Areas, and (4) excluding Florida ZIP Code Tabulation Areas., Results: High-density ZIP Code Tabulation Areas had a lower percentage of late diagnosis and virally suppressed, a higher percentage linked to care, and no differences in new HIV diagnoses (p<0.05). In adjusted analysis, high density was associated with a greater number of new diagnoses (number or percentage=5.65; 95% CI=2.81, 8.49), lower percentage of late diagnosis (-3.71%; 95% CI= -5.99, -1.42), higher percentage linked to care (2.13%; 95% CI=0.20, 4.06), and higher percentage virally suppressed (1.87%; 95% CI=0.53, 2.74) than medium/low density., Conclusions: Results suggest that access to Federally Qualified Health Centers may benefit community-level HIV epidemic indicators., (Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: An emerging literature suggests that sleep may play an important role in moderating the association between discrimination and mental health problems among adolescents. However, few if any studies have considered this topic among adults. Addressing this knowledge gap, the current study examined multiple sleep parameters as moderating variables in the association between discrimination and mental health problems among adults., Methods: Participants were 874 adults residing in small towns and semirural contexts within the Southeastern region of the United States ( Mage = 41 years, SD = 7; 57% female; 31% Black, 69% White; 52% income-to-needs < 2). Sleep duration and night-to-night variability in duration were assessed using wrist actigraphy. Established self-report measures were used to assess global sleep problems, experiences of discrimination, and mental health problems (anxiety, depression, and externalizing symptoms)., Results: Experiences of discrimination were associated with more depression, anxiety, and externalizing problems. Two out of three sleep parameters were found to moderate the effects of discrimination on mental health. The association between discrimination and externalizing problems (but not anxiety or depression) was attenuated among those with less night-to-night variability in sleep duration. The associations between discrimination and anxiety and externalizing problems (but not depression) were attenuated among those with fewer global sleep problems. Less variability in sleep duration and fewer global sleep problems were also directly associated with lower levels of depression, anxiety, and externalizing problems., Conclusions: Greater consistency in sleep duration from night-to-night, and fewer overall sleep problems appear to mitigate risk of mental health problems among adults, particularly in contexts where discrimination is prevalent., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Psychosomatic Society.)

Objective: The COVID pandemic has been associated with varied effects on preterm birth (PTB). We sought to compare rates of PTB during the pre- and post vaccination COVID periods with pre-pandemic PTB rates, stratified by race and ethnicity., Study Design: Retrospective cohort comparing all deliveries over 20 weeks at a single tertiary center during "early" (March 2020-June 2020) versus "late" COVID (March 2021-June 2021), and "late" COVID versus pre-COVID (March to June 2014-2019). PTBs <37, <34, and <28 weeks were compared and stratified by race/ethnicity., Results: A total of 16,483 deliveries occurred including 2,068 "early" COVID, 2,115 "late" COVID, and 12,300 pre-COVID. The PTB rate during "late" COVID was lower compared to "early" COVID (12.1 vs. 14.6%, p  = 0.02). Rate of PTB <34 was also lower during "late" COVID (4.4 vs. 5.7%, p  = 0.05). PTB <28 did not differ. When controlling for prior PTB, "late" COVID remained associated with a decreased risk of PTB compared to "early" COVID, adjusted odds ratio (aOR) of 0.82 (95% confidence interval [CI]: 0.68, 0.98). Although there was no difference in PTB among Hispanic individuals when comparing "late" COVID versus pre-COVID, when further subdivided, a small number of Hispanic Puerto Rican individuals had higher odds of PTB < 37 during "late" COVID versus pre-COVID (aOR = 4.29 [95% CI: 1.12, 16.4]). Additionally, White individuals had reduced odds of PTB <37 (aOR = 0.80 [95% CI: 0.65, 0.98]) during "late" COVID versus pre-COVID while the PTB rate was unchanged when comparing "late" COVID versus pre-COVID in all other racial and ethnic groups., Conclusion: During 2021, PTB rates decreased from rates observed in 2020 at the height of COVID restrictions. Among White birthing individuals, PTB decreased in 2021 compared to pre-COVID rates. This decrease was not observed in Black and Hispanic birthing individuals. These data highlight the continued racially disparate impact of the COVID-19 pandemic on PTB rates., Key Points: · The COVID-19 pandemic has been associated with varied effects on the preterm birth (PTB) rate.. · PTB rates decreased in "late" COVID compared to "early" COVID.. · When stratified, PTB decreased among white individuals, but not in Black or Hispanic individuals.., Competing Interests: None declared., (Thieme. All rights reserved.)

Maps of the distribution of medically-important ticks throughout the US remain lacking in spatial and temporal resolution in many areas, leading to holes in our understanding of where and when people are at risk of tick encounters, an important baseline for informing public health response. In this work, we demonstrate the use of Bayesian Experimental Design (BED) in planning spatiotemporal surveillance of disease vectors. We frame survey planning as an optimization problem with the objective of identifying a calendar of sampling locations that maximizes the expected information regarding some goal. Here we consider the goals of understanding associations between environmental factors and tick presence and minimizing uncertainty in high risk areas. We illustrate our proposed BED workflow using an ongoing tick surveillance study in South Carolina parks. Following a model comparison study based on two years of initial data, several techniques for finding optimal surveys were compared to random sampling. Two optimization algorithms found surveys better than all replications of random sampling, while a space-filling heuristic performed favorably as well. Further, optimal surveys of just 20 visits were more effective than repeating the schedule of 111 visits used in 2021. We conclude that BED shows promise as a flexible and rigorous means of survey design for vector control, and could help alleviate pressure on local agencies by limiting the resources necessary for accurate information on arthropod distributions. We have made the code for our BED workflow publicly available on Zenodo to help promote the application of these methods to future surveillance efforts., (Copyright © 2024. Published by Elsevier GmbH.)

Background: The United States has seen a significant rise in maternal mortality and morbidity associated with cardiovascular disease over the past 4 decades. Contributing factors may include an increasing number of parturients with comorbid conditions, a higher rate of pregnancy among women of advanced maternal age, and more patients with congenital heart disease who survive into childbearing age and experiencing pregnancy. In response, national medical organizations have recommended the creation of multidisciplinary obstetric-cardiac teams, also known as pregnancy heart teams, to provide comprehensive preconception counseling and coordinated pregnancy management that extend through the postpartum period., Objective: We sought to describe the development and implementation of a pregnancy heart team for parturients with cardiac disease at a southeastern United States tertiary hospital., Study Design: This was a qualitative study that was conducted among healthcare team members involved during the pregnancy heart team formation. Semi-structured interviews were conducted between April and May 2022, professionally transcribed, and the responses were thematically coded for categories and themes using constructs from The Consolidated Framework for Implementation Research., Results: Themes identified included intentional collaboration to improve outpatient and inpatient coordination through earlier awareness of patients who meet the criteria and via documented care planning. The pregnancy heart team united clinicians around best practices and coordination to promote the success and safety of pregnancies and not only to minimize maternal health risks. Developing longitudinal care plans was critical among the pathway team to build on collective expertise and to provide clarity for those on shift to reduce hesitancy and achieve timely, vetted practices without additional consults. Establishing a proactive approach of specialists offering their perspectives was viewed as positively contributing to a culture of speaking up. Barriers to the successful development and sustainability of the pregnancy heart team included unmet administrative needs and clinician turnover within a context of shortages in staffing and high workload., Conclusion: This study described the process of developing and implementing a pregnancy heart team at 1 institution, thereby offering insights for future multidisciplinary care for maternal cardiac patients. Establishing pregnancy heart teams can enhance quality care for high-risk patients, foster learning and collaboration among physician and nursing specialties, and improve coordination to manage complex maternal cardiac cases., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objective: Columnaris disease is a leading cause of disease-related losses in the catfish industry of the southeastern United States. The term "columnaris-causing bacteria" (CCB) has been coined in reference to the four described species that cause columnaris disease: Flavobacterium columnare, F. covae, F. davisii, and F. oreochromis. Historically, F. columnare, F. covae, and F. davisii have been isolated from columnaris disease cases in the catfish industry; however, there is a lack of knowledge of which CCB species are most prevalent in farm-raised catfish. The current research objectives were to (1) sample columnaris disease cases from the U.S. catfish industry and identify the species of CCB involved and (2) determine the virulence of the four CCB species in Channel Catfish Ictalurus punctatus in controlled laboratory challenges., Methods: Bacterial isolates or swabs of external lesions from catfish were collected from 259 columnaris disease cases in Mississippi and Alabama during 2015-2019. The DNA extracted from the samples was analyzed using a CCB-specific multiplex polymerase chain reaction to identify the CCB present in each diagnostic case. Channel Catfish were challenged by immersion with isolates belonging to each CCB species to determine virulence at ~28°C and 20°C., Result: Flavobacterium covae was identified as the predominant CCB species impacting the U.S. catfish industry, as it was present in 94.2% (n = 244) of diagnostic case submissions. Challenge experiments demonstrated that F. covae and F. oreochromis were highly virulent to Channel Catfish, with most isolates resulting in near 100% mortality. In contrast, F. columnare and F. davisii were less virulent, with most isolates resulting in less than 40% mortality., Conclusion: Collectively, these results demonstrate that F. covae is the predominant CCB in the U.S. catfish industry, and research aimed at developing new control and prevention strategies should target this bacterial species. The methods described herein can be used to continue monitoring the prevalence of CCB in the catfish industry and can be easily applied to other industries to identify which Flavobacterium species have the greatest impact., (© 2023 American Fisheries Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Objective: Violent injuries have become increasingly more common in the United States. Individuals experiencing violent injury are at increased risk for the development of posttraumatic stress disorder (PTSD) as compared to those experiencing nonviolent injury. Social support is touted as a protective factor against various psychiatric symptoms (i.e., PTSD), though little is known about the relation between PTSD symptoms and social support in traumatic injury populations. The aims of the present paper were twofold: (1) examine the prevalence of PTSD as a function of injury type (2) explore differences in levels of social support as a function of injury type and (3) explore the association between injury type and later PTSD symptoms as moderated by baseline social support., Method: Participants were 553 adults from a level-one trauma center in the Southeast United States who experienced a violent injury or nonviolent injury and completed measures of social support at baseline as well as PTSD symptoms at the 30-day follow-up timepoint. The study utilized data from both the baseline timepoint (i.e., upon admission to the trauma surgery unit), as well as a 30-day follow-up timepoint., Results: Results demonstrated that those endorsing nonviolent injury reported lower levels of social support and PTSD symptoms. Social support predicted later PTSD symptoms until injury type was included as a covariate in the model. Social support did not moderate the relationship between injury type and later PTSD symptoms., Conclusions: Findings highlight the interrelatedness of key risk variables (i.e., injury type) with protective factors in influencing the trajectory of psychopathology postinjury. Violence intervention and interruption programs may have the capacity to fill patient needs when social support networks are insufficient. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Expanding geographic distribution and increased populations of ticks has resulted in an upsurge of human-tick encounters in the United States (US), leading to an increase in tickborne disease reporting. Limited knowledge of the broadscale spatial range of tick species is heightened by a rapidly changing environment. Therefore, we partnered with the Forest Inventory and Analysis (FIA) program of the Forest Service, U.S. Department of Agriculture and used passive tick surveillance to better understand spatiotemporal variables associated with foresters encountering three tick species (Amblyomma americanum L., Dermacentor variabilis Say, and Ixodes scapularis L.) in the southeastern US. Eight years (2014-2021) of tick encounter data were used to fit environmental niche and generalized linear models to predict where and when ticks are likely to be encountered. Our results indicate temporal and environmental partitioning of the three species. Ixodes scapularis were more likely to be encountered in the autumn and winter seasons and associated with soil organic matter, vegetation indices, evapotranspiration, temperature, and gross primary productivity. By contrast, A. americanum and D. variabilis were more likely to be encountered in spring and summer seasons and associated with elevation, landcover, temperature, dead belowground biomass, vapor pressure, and precipitation. Regions in the southeast least suitable for encountering ticks included the Blue Ridge, Mississippi Alluvial Plain, and the Southern Florida Coastal Plain, whereas suitable regions included the Interior Plateau, Central Appalachians, Ozark Highlands, Boston Mountains, and the Ouachita Mountains. Spatial and temporal patterns of different tick species can inform outdoorsmen and the public on tick avoidance measures, reduce tick populations by managing suitable tick habitats, and monitoring areas with unsuitable tick habitat for potential missed encounters., Competing Interests: The authors have declared that no competing interests exist., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Recent studies have shown social determinants of health (SDOH) to impact HIV care engagement. This cross-sectional study (Oct 20-Apr 21) assessed the impact of a range of SDOH on HIV care engagement using data from HIV Care Connect, a consortium of three HIV care facility-led programs (Alabama, Florida, Mississippi). The exposures were captured using the PRAPARE (Protocol for Responding to and Assessing Patient Assets, Risks, and Experiences) scale. The outcome was captured using the Index of Engagement in HIV Care scale. Participants (n  =  132) were predominantly non-White (87%) and male (52%) with a median age of 41 years. Multivariable logistic regression adjusted for various sociodemographics showed lower HIV care engagement to be associated with being uninsured/publicly insured, having 1-3 unmet needs, socially integrating ≤five times/week, and having stable housing. Factors such as unmet needs, un-/underinsurance, and social integration may be addressed by healthcare and community organizations., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

We calculated the attributable cost of several healthcare-associated infections in a community hospital network: central-line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), hospital-onset Clostridioides difficile infections (CDI-HOs) (43 hospitals); surgical site infections (SSIs) (40 hospitals). From 2016 to 2022, the total cost of CLABSIs, CAUTIs, CDI-HOs, and SSIs was $420,012,025.

As HIV/AIDS health care workers (HCWs) deliver services during COVID-19 under difficult conditions, practicing trauma-informed care (TIC) may mitigate negative effects on mental health and well-being. This secondary qualitative analysis of a larger mixed methods study sought to understand the pandemic's impact on HCWs at Ryan White-funded clinics (RWCs) across the southeastern US and assess changes in prioritization of TIC. RWC administrators, providers, and staff were asked about impacts on clinic operations/culture, HCW well-being, institutional support for well-being, and prioritization of TIC. HCWs described strenuous work environments and decreased well-being (eg, increased stress, burnout, fear, and social isolation) due to COVID-19. RWCs initiated novel responses to disruptions of clinic operations and culture to encourage continuity in care and promote HCW well-being. Despite increased awareness of the need for TIC, prioritization remained variable. Implementing and institutionalizing trauma-informed practices could strengthen continuity in care and safeguard HCW well-being during public health emergencies., Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: High-grade soft tissue sarcoma is rare and associated with poor prognosis. This study examines racial and ethnic variation in presentation and outcomes at a Southeastern US cancer center., Methods: Among an institutional cohort of patients seen between January 2016-December 2021, racial and ethnic differences were evaluated using chi-squared tests, Kaplan Meier curves, and Cox proportional hazards models., Results: There were 295 patients (71 ​% Non-Hispanic White, 24 ​% Black, 3 ​% Hispanic White, 2 ​% Other). Black representation was greater than national cohorts (24 ​% vs. 12 ​%). Histological subtype varied by race/ethnicity (p ​= ​0.007). Adjusting for histology and stage, survival was worse for Black vs. White patients (HR 1.71, 95 ​% CI 1.07-2.76) and those with metastatic disease (5.47, 3.54-8.44). In non-metastatic patients, survival differences for Black vs. White patients were attenuated by receipt of multi-modal treatment (1.53, 0.82-2.88)., Conclusion: Observed racial disparities in survival of high-grade sarcoma may be addressed by early, multidisciplinary management., Competing Interests: Declaration of competing interest None declared., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Canine respiratory coronavirus (CRCoV) is one of the main causative agents of canine infectious respiratory disease (CIRD), an illness whose epidemiology is poorly understood. We assessed the prevalence, risk factors, and genetic characterization of CRCoV in privately owned dogs in the Southeastern United States. We PCR-screened 189 nasal swabs from dogs with and without CIRD clinical signs for 9 CIRD-related pathogens, including CRCoV; 14% of dogs, all diagnosed with CIRD, were positive for CRCoV, with a significantly higher rate of cases in younger dogs and during warmer weather. Notably, the presence of CRCoV, alone or in coinfection with other CIRD pathogens, was statistically associated with a worse prognosis. We estimated a CRCoV seroprevalence of 23.7% retrospectively from 540 serum samples, with no statistical association to dog age, sex, or season, but with a significantly higher presence in urban counties. Additionally, the genomes of 6 CRCoVs were obtained from positive samples using an in-house developed targeted amplicon-based approach specific to CRCoV. Subsequent phylogeny clustered their genomes in 2 distinct genomic groups, with most isolates sharing a higher similarity with CRCoVs from Sweden and only 1 more closely related to CRCoVs from Asia. We provide new insights into CIRD and CRCoV epidemiology in the Southeastern United States and further support the association of CRCoV with more severe cases of CIRD. Additionally, we developed and successfully tested a new amplicon-based approach for whole-genome sequencing of CRCoV that can be used to further investigate the genetic diversity within CRCoVs., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The COVID-19 pandemic has had disproportionate effects on communities of color, with higher death rates among African Americans (AA). The purpose of this study was to assess associations in African Americans' mental and physical health with the COVID-19 pandemic. Data for this study came from a larger nutrition intervention of AAs in the Southeastern United States, the Nutritious Eating with Soul study. Data collected before and after March 15, 2020 (the day when local South Carolina schools and businesses closed), were analyzed to assess the association of the pandemic on participants' stress, control of healthy eating, physical activity, and body mass index. Repeated measures analysis of covariance using full maximum likelihood estimation to handle missing data was used. At the onset of the COVID-19 pandemic, 150 participants were enrolled in the study (48.2 ± 10.6 years old, 79% female, 75% with college degree or higher). Participants' reporting of stress did not show statistically significant change over time. Cognitive control increased 1.43 points (F = 20.60, p < 0.0001) and body mass index increased 0.72 kg/m 2 (F = 10.68, p = 0.001). Future longitudinal studies should investigate how the COVID-19 pandemic continues to present challenges to understanding and improving health among African Americans. The study is registered at www.clinicaltrials.gov NCT03354377., (© 2022. W. Montague Cobb-NMA Health Institute.)

Emerging evidence confirms COVID-19's negative impact on college students' mental health; however, more research is needed to identify factors that promoted or hindered college students' mental health early in the pandemic. This exploratory study addressed this need. Participants were 697 students attending a large, state, urban university in the southeastern United States. Using a cross-sectional survey design, participants completed an anonymous, online survey assessing socio-demographic variables, mental health issues, and activities during the lockdown period in 2020. Findings suggest college students in the southeastern US who were women or transgender men and had pre-existing mental health conditions, fewer routine activities, and high exposure to COVID-19 news reported more mental health problems early in the pandemic. Students who exercised daily had fewer symptoms of anxiety and post-traumatic stress than students who exercised monthly, but there were no differences in emotional responses to COVID-19 based on exercise frequency. Tailored strategies to address college students' needs in response to the current or future pandemics are needed and should take into consideration factors that promote or hinder mental health. Patient or Public Contribution: College students were participants in this study. College students who were not participants in this study assisted with the implementation of this study., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Chenneville, Gabbidon, Zharima, Hornschuh and Dietrich.)

Introduction: Lifetime exposure to interpersonal violence or abuse has been associated with several chronic diseases, including adult-onset diabetes, yet this pattern has not been confirmed by sex and race within a large cohort., Methods: Data from the Southern Community Cohort Study collected between 2002-2009 and 2012-2015 were used to explore the relationship between lifetime interpersonal violence or abuse and diabetes (N=25,251). Prospective analyses of lower-income people living in the southeastern U.S. were conducted in 2022 to examine the risk of adult-onset diabetes associated with lifetime interpersonal violence or abuse by sex and race. Lifetime interpersonal violence or abuse was defined as (1) physical or psychological violence, threats, or abuse in adulthood (adult interpersonal violence or abuse) and (2) childhood abuse or neglect., Results: After adjustment for potentially confounding factors, adult interpersonal violence or abuse was associated with a 23% increased risk of diabetes (adjusted hazard ratio=1.23; 95% CI=1.16, 1.30). Diabetes risks associated with childhood abuse or neglect were 15% (95% CI=1.02, 1.30) for neglect and 26% (95% CI=1.19, 1.35) for abuse. When combining adult interpersonal violence or abuse and childhood abuse or neglect, the risk of diabetes was 35% higher (adjusted hazard ratio=1.35; 95% CI=1.26, 1.45) than those experiencing no violence, abuse, or neglect. This pattern held among Black and White participants, and among women and men., Conclusions: Both adult interpersonal violence or abuse and childhood abuse or neglect increased the risk of adult-onset diabetes in a dose-dependent pattern for men and women, and by race. Intervention and prevention efforts to reduce adult interpersonal violence or abuse and childhood abuse or neglect could not only reduce the risk of lifetime interpersonal violence or abuse but may also reduce one of the most prevalent chronic diseases, adult-onset diabetes., (Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

An outbreak investigation was initiated after detecting an increase in the number of patients with Stenotrophomonas maltophilia bloodstream infections (SM-BSIs) througout the hospital. S. maltophilia was isolated from the cultures of blood-gas ınjectors containing liquid heparin. The incidence density of SM-BSIs decreased significantly after prohibiting the use of those injectors.

Compared to campus-based alcohol interventions for college students, services for emerging adult (EA) risky drinkers who reside off-campus in disadvantaged communities are not well established. This web survey assessed drinking practices, problems, and preferences for professional and lay helping resources spanning digital and in-person formats among community-dwelling EAs to guide services for them and determine whether drinking risk levels varied by preferences for help. Digital respondent-driven sampling recruited EA risky drinkers from disadvantaged communities (N = 356; M age = 23.6 years, 64.0% women, 77.4% employed, 64.9% residing in impoverished areas above the US average, 53.5% income < $20k/year). A web survey assessed participants' drinking practices and problems, including alcohol use disorder symptoms, and help-seeking preferences for smartphone apps; online help; in-person help from doctors, clinics, teachers, and school programs; mutual help groups; and help from friends and family. Preferences were related to participant drinking risks using generalized linear modeling. Modeling results showed that risk levels were related to help-seeking preferences. EAs reporting more negative consequences preferred smartphone apps and help from friends, whereas EAs reporting fewer negative consequences and drinking days preferred professional in-person help (Ps < 0.05). Although >90% fulfilled alcohol use disorder diagnostic criteria, <4% had received an alcohol-related intervention. EAs who are riskier drinkers appear less likely to use professional resources in favor of informal and online resources that allow greater anonymity. Findings can guide services for this underserved population that are responsive to drinker risk levels., (© The Author(s) 2023. Medical Council on Alcohol and Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Staphylococcus aureus (S. aureus) is known to cause human infections and since the late 1990s, community-onset antibiotic resistant infections (methicillin resistant S. aureus (MRSA)) continue to cause significant infections in the United States. Skin and soft tissue infections (SSTIs) still account for the majority of these in the outpatient setting. Machine learning can predict the location-based risks for community-level S. aureus infections. Multi-year (2002-2016) electronic health records of children <19 years old with S. aureus infections were queried for patient level data for demographic, clinical, and laboratory information. Area level data (Block group) was abstracted from U.S. Census data. A machine learning ecological niche model, maximum entropy (MaxEnt), was applied to assess model performance of specific place-based factors (determined a priori) associated with S. aureus infections; analyses were structured to compare methicillin resistant (MRSA) against methicillin sensitive S. aureus (MSSA) infections. Differences in rates of MRSA and MSSA infections were determined by comparing those which occurred in the early phase (2002-2005) and those in the later phase (2006-2016). Multi-level modeling was applied to identify risks factors for S. aureus infections. Among 16,124 unique patients with community-onset MRSA and MSSA, majority occurred in the most densely populated neighborhoods of Atlanta's metropolitan area. MaxEnt model performance showed the training AUC ranged from 0.771 to 0.824, while the testing AUC ranged from 0.769 to 0.839. Population density was the area variable which contributed the most in predicting S. aureus disease (stratified by CO-MRSA and CO-MSSA) across early and late periods. Race contributed more to CO-MRSA prediction models during the early and late periods than for CO-MSSA. Machine learning accurately predicts which densely populated areas are at highest and lowest risk for community-onset S. aureus infections over a 14-year time span., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objectives: To describe the epidemiology of complex colon surgical procedures (COLO), stratified by present at time of surgery (PATOS) surgical-site infections (SSIs) and non-PATOS SSIs and their impact on the epidemiology of colon-surgery SSIs., Design: Retrospective cohort study., Methods: SSI data were prospectively collected from patients undergoing colon surgical procedures (COLOs) as defined by the National Healthcare Safety Network (NHSN) at 34 community hospitals in the southeastern United States from January 2015 to June 2019. Logistic regression models identified specific characteristics of complex COLO SSIs, complex non-PATOS COLO SSIs, and complex PATOS COLO SSIs., Results: Over the 4.5-year study period, we identified 720 complex COLO SSIs following 28,188 COLO surgeries (prevalence rate, 2.55 per 100 procedures). Overall, 544 complex COLO SSIs (76%) were complex non-PATOS COLO SSIs (prevalence rate [PR], 1.93 per 100 procedures) and 176 (24%) complex PATOS COLO SSIs (PR, 0.62 per 100 procedures). Age >75 years and operation duration in the >75th percentile were independently associated with non-PATOS SSIs but not PATOS SSIs. Conversely, emergency surgery and hospital volume for COLO procedures were independently associated with PATOS SSIs but not non-PATOS SSIs. The proportion of polymicrobial SSIs was significantly higher for non-PATOS SSIs compared with PATOS SSIs., Conclusions: Complex PATOS COLO SSIs have distinct features from complex non-PATOS COLO SSIs. Removal of PATOS COLO SSIs from public reporting allows more accurate comparisons among hospitals that perform different case mixes of colon surgeries.

African Americans living in low socioeconomic circumstances are at high risk of poor health outcomes; this is particularly true for those with hypertension. Many African Americans with chronic hypertension living in the rural impoverished Southeastern USA have low health literacy and are socially isolated. These factors are known to have a negative impact on health outcomes, but it is possible that social support may overcome some of the effect of low health literacy. Since little has been reported about this association, we examined the association between social functioning and health literacy in a rural African American population in the Southeast USA. We used baseline data from participants in the Southeastern Collaboration to Improve Blood Pressure Control, a pragmatic trial that recruited rural African Americans with persistently uncontrolled hypertension and collected survey data. Overall, 33.5% of the 1221 person sample reported social isolation, 26.0% reported low instrumental support, 36.0% reported low emotional support, and 63.4% had inadequate health literacy. All three domains of low social functioning were significantly associated with low health literacy, and this effect was robust to multivariable adjustment for sociodemographics and cognitive functioning for social isolation (adjusted odds ratio 1.62, 95% confidence intervals 1.20-2.20). In conclusion, the majority of this sample living in the NC and AL Black Belt had high social functioning but inadequate health literacy. Tests of interventions to improve social support, especially social isolation, may be warranted to overcome low health literacy in this high-risk rural population., (© The Author(s) 2023. Published by Oxford University Press.)

Background: Black Americans receive a diagnosis at later stage of lung cancer more often than White Americans. We undertook a population-based study to identify factors contributing to racial disparities in lung cancer stage of diagnosis among low-income adults., Research Question: Which multilevel factors contribute to racial disparities in stage of lung cancer at diagnosis?, Study Design and Methods: Cases of incident lung cancer from the prospective observational Southern Community Cohort Study were identified by linkage with state cancer registries in 12 southeastern states. Logistic regression shrinkage techniques were implemented to identify individual-level and area-level factors associated with distant stage diagnosis. A subset of participants who responded to psychosocial questions (eg, racial discrimination experiences) were evaluated to determine if model predictive power improved., Results: We identified 1,572 patients with incident lung cancer with available lung cancer stage (64% self-identified as Black and 36% self-identified as White). Overall, Black participants with lung cancer showed greater unadjusted odds of distant stage diagnosis compared with White participants (OR,1.29; 95% CI, 1.05-1.59). Greater neighborhood area deprivation was associated with distant stage diagnosis (OR, 1.58; 95% CI, 1.19-2.11). After controlling for individual- and area-level factors, no significant difference were found in distant stage disease for Black vs White participants. However, participants with COPD showed lower odds of distant stage diagnosis in the primary model (OR, 0.72; 95% CI, 0.53-0.98). Interesting and complex interactions were observed. The subset analysis model with additional variables for racial discrimination experiences showed slightly greater predictive power than the primary model., Interpretation: Reducing racial disparities in lung cancer stage at presentation will require interventions on both structural and individual-level factors., (Copyright © 2022 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Health disparities in the sexual minority population may be exacerbated by the loneliness experienced due to minority stress. Using a minority stress framework, this study examined minority stress, protective variables, and mental health as correlates of loneliness in sexual minority individuals in a small metropolitan area in the southeastern United States. Participants (n = 273) were a subsample of sexual minority individuals from a broader sample of LGBTQ adults in the Central Savannah River area who completed a health needs assessment. Bivariate correlations were calculated to assess for degree of significant relationships between loneliness and barriers to health care, minority stress, and mental health. Hierarchical linear regression was conducted to examine the relative importance of the study variables' associations with loneliness. A multiple regression model found household income, assault victimization, depressive symptoms, and sense of community to be significant correlates of loneliness. Interventions to decrease loneliness in this population will need to consider these interconnected, multi-level influences.

Initial assessments of coronavirus disease 2019 (COVID-19) preparedness revealed resource shortages and variations in infection prevention policies across US hospitals. Our follow-up survey revealed improvement in resource availability, increase in testing capacity, and uniformity in infection prevention policies. Most importantly, the survey highlighted an increase in staffing shortages and use of travel nursing.

America's unique response to the global COVID-19 pandemic has been both criticized and applauded across political and social spectrums. Compared to other developed nations, U.S. incidence and mortality rates were exceptionally high, due in part to inconsistent policies across local, state, and federal agencies regarding preventive behaviors like mask wearing and social distancing. Furthermore, vaccine hesitancy and conspiracy theories around COVID-19 and vaccine safety have proliferated widely, making herd immunity that much more challenging. What factors of the U.S. culture have contributed to the significant impact of the pandemic? Why have we not responded better to the challenges of COVID-19? Or would many people in the U.S. claim that we have responded perfectly well? To explore these questions, we conducted a qualitative and quantitative study of Florida State University faculty, staff, and students. This study measured their perceptions of the pandemic, their behaviors tied to safety and community, and how these practices were tied to beliefs of individualism and collectivism. We found that collectivist orientations were associated with a greater likelihood of wearing masks consistently, severe interruptions of one's social life caused by the pandemic, greater concern for infecting others, and higher levels of trust in medical professionals for behavioral guidelines surrounding the pandemic. These associations largely persist even after adjusting for political affiliation, which we find is also a strong predictor of COVID-19 beliefs and behaviors., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Mehta et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Approximately half of the people with HIV (PWH) in the United States are retained in HIV care and only 57% have achieved viral suppression, due to barriers including transportation access, stigma, poor mental health, substance use, and medical mistrust. Community-based HIV care models have potential to address the diverse needs of patients and to improve retention in care, but their success is contingent on acceptance by patients and key community stakeholders. Recognizing that the preferences of PWH who are out-of-care (PWH-OOC) likely differ from those retained in care, we conducted a mixed-methods study from June 2019 to May 2021 composed of surveys with PWH-OOC (n = 50) and in-depth interviews with key clinic and community stakeholders (n = 41) to examine the relative preference and perceived advantages and disadvantages for six different community-based HIV care models versus the traditional fixed-clinic model. Survey data was analyzed to assess average rank preference for each care model and interview transcripts were thematically coded to examine factors influencing model acceptance. The highest preference for care delivery was via a mobile clinic, followed by community-based peer navigation, primary care clinics, telemedicine, traditional HIV subspeciality clinic, homeless shelter, and drug treatment center. Common factors influencing preference included convenience, accessibility, potential to preserve confidentiality, quality of care assurance, opportunity to develop rapport with their HIV care provider, access to a smart device, and potential to alleviate versus exacerbate HIV stigma. Participants discussed need for integration of care models and for individuals to choose different care models at different times. Providers and patients differed in preference for care model and weighting of relative advantages and disadvantages of each. Findings highlight the need to integrate alternative, community-based care models into the national plan to end the HIV epidemic and to allow for PWH-OOC to choose the model most fitting based on individual circumstances., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Jones et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Black transgender women in the Southeast are at the center of the modern-day HIV crisis in the U.S. This focus group study was aimed at understanding the impacts of the COVID-19 pandemic on the health and well-being of Black transgender women in the U.S. Southeast who are affected by HIV. From April-June 2022, we completed seven focus group interviews with 56 participants. Themes identified across the focus groups show: 1) the challenges that pre-dated COVID-19; 2) the challenges of managing COVID-19 risk; 3) negative consequences for mental health, physical health, and overall well-being; 4) negative trends in coping with pandemic stress; 5) the importance of self-care and social support for managing pandemic stress; and 6) the need for more community-based resources. Findings demonstrate that understanding these social determinants of health is vital to developing support resources in this ongoing health crisis and crises yet to come.