Examining inequities associated with incarceration among breast cancer patients.

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.

Residential air pollution, greenspace, and adverse mental health outcomes in the U.S. Gulf Long-term Follow-up Study.

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 PM2.5) and nitrogen dioxide (1 km NO2), 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 PM2.5, NO2, and EVI), the highest quartile of PM2.5 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 PM2.5 on depression (PRPM only = 1.20, 95 % CI: 1.06-1.36; PRPM+green = 0.98, 95 % CI: 0.83-1.16) and anxiety (PRPM only = 1.10, 95 % CI: 1.00-1.22; PRPM+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. NO2 exposure was not independently associated with depression or anxiety in this population. Relationships between PM2.5, 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.

Associations of neighborhood sociodemographic environment with mortality and circulating metabolites among low-income black and white adults living in the southeastern United States.

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.

Determining the role of acculturative stress in predicting mental health service use among Latinx immigrants.

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.

Assessing the Impact of Social Determinants of Health on HIV Care Engagement in the Southern United States: A Cross-Sectional Study.

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.

Assessing How Social Drivers of Health Affect Engagement in HIV Care in the Southern United StatesIt has been found that social factors that have a direct impact on health affect engagement in HIV Care among people living with HIV. We included various social drivers of health to see how they affect engagement in HIV Care. We used data between October 2020 and April 2021 from a project titled HIV Care Connect, which is a group of three facilities providing HIV care in Alabama, Florida, and Mississippi. We used social drivers of health as risk factors from a scale called PRAPARE (Protocol for Responding to and Assessing Patient Assets, Risks, and Experiences). Engagement in HIV care was measured by using a scale called Index of Engagement in HIV Care. A total of 132 participants were included. Majority of the participants were of races other than white (87%), male (52%) and were aged 41 years on average. Statistical analysis showed that participants without insurance or with public insurance, participants with 1-3 unsatisfied needs, participants that met with other people less than or equal to five times a week, and participants that had reliable housing had lower engagement in HIV care. These factors have a potential to be addressed by healthcare and community organizations.

Analyzing nursing students' mental health profiles at the onset of COVID-19.

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.

Mitigation measures against Coronavirus Disease 2019 (COVID-19) in overnight faith-based camps: summer 2021.

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.

Do Sleep Problems Exacerbate the Mental Health Consequences of Discrimination Among Adults?

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.

Providing Trauma-Informed Care During a Pandemic: How Health Care Workers at Ryan White-Funded Clinics in the Southeastern United States Responded to COVID-19 and Its Effects on Their Well-Being.

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.

COVID-19 and Its Effects on the Well-being of Ryan White Health Care Workers in the Southeastern United States.

Hormonal Contraception and Risk of Cardiometabolic Disease in Women with HIV.

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.

Relationships of Self-reported Opioid Use and Misuse and Pain Severity With Probable Major Depression Among Participants With Spinal Cord Injury.

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.

Analysis of Factors Influencing Financial Cost and Morbidity in Nonfatal Firearm Injuries.

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.

Development and implementation of a pregnancy heart team at a Southeastern United States tertiary hospital: a qualitative study.

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.

Adapting vector surveillance using Bayesian experimental design: An application to an ongoing tick monitoring program in the southeastern United States.

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.

Human risk to tick encounters in the southeastern United States estimated with spatial distribution modeling.

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.

Paget disease of bone in a southeastern Veteran population.

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.

Impacts of Poverty and Lifestyles on Mortality: A Cohort Study in Predominantly Low-Income Americans.

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.

Prevalence of Sexually Transmitted Infections Among Transgender Women With and Without HIV in the Eastern and Southern United States.

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.

Flavobacterium covae is the predominant species of columnaris-causing bacteria impacting the Channel Catfish industry in the southeastern United States.

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.

Epidemiologic investigation and genetic characterization of canine respiratory coronavirus in the Southeastern United States.

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.