Human Papillomavirus Vaccination and Human Papillomavirus-Related Cancer Rates.

Importance: To inform the design and implementation of targeted interventions to reduce the future burden of human papillomavirus (HPV)-related cancers in Texas, it is necessary to examine the county and health service region (HSR) levels of (1) the proportion of children and teenagers aged 9 to 17 years who initiated and were up to date for HPV vaccination series and (2) HPV-related cancer incidence rates (IRs). Objective: To evaluate temporal trends and geospatial patterns of HPV vaccination initiation and up-to-date status as well as HPV-related cancer rates at county and HSR levels in Texas. Design, Setting, and Participants: This population-based cross-sectional study used data from the Texas Immunization Registry, the National Cancer Institute's Surveillance, Epidemiology, and End Results Program database, and Texas Department of State Health Services annual population counts from 2006 to 2022. The analysis of HPV vaccination rates was conducted among children and teenagers aged 9 to 17 years; the analysis of HPV-related cancer rates was conducted among adults aged 20 years and older. Data were extracted between June and July 2023 and statistical analysis was performed from February to April 2024. Main Outcomes and Measures: HPV vaccination initiation and up-to-date status rates and HPV-related cancer IR at county and HSR levels. Results: A total of 32 270 243 children and teenagers (65.8% female individuals and 34.2% male individuals) and 22 490 105 individuals aged 20 years and older (50.7% female individuals and 49.3% male individuals) were included. The mean 2021 to 2022 county-level HPV vaccination series initiation estimates ranged from 6.3% to 69.1% for female and from 7.0% to 77.6% for male children and teenagers aged 9 to 17 years. County-level vaccination up-to-date estimates were generally lower compared with those of initiation estimates and ranged from 1.6% to 30.4% for female and from 2.1% to 34.8% for male children and teenagers. The pattern of HPV vaccination rates stratified by sex were similar across counties and HSRs. The age-adjusted annual HPV-related cancer IR by county for years 2016 to 2020 ranged from 0 to 154.2 per 100 000 for female individuals and from 0 to 60.1 per 100 000 for male individuals. The counties located in North Texas, HSRs 2/3 and 4/5N, had lower HPV vaccination rates and higher IRs of HPV-related cancers for both female and male individuals compared with other regions. Conclusions and Relevance: In this study, the incidence of HPV-related cancers varied widely across the counties and HSRs of Texas. More counties in North Texas, HSRs 2/3 and 4/5N, had higher IRs of HPV-related cancers and a lower proportion of HPV vaccination rates than counties in other regions. Designing and implementing targeted interventions to increase uptake and completion of HPV vaccination series across counties with low HPV vaccination rates may help to reduce future the burden of HPV-related cancers.

Association of county level poverty with mortality from primary liver cancers.

BACKGROUND: The highly variable occurrence of primary liver cancers across the United States emphasize the relevance of location-based factors. Social determinants such as income, educational attainment, housing, and other factors may contribute to regional variations in outcomes. To evaluate their impact, this study identified and analyzed clusters of high mortality from primary liver cancers and the association of location-based determinants with mortality across the contiguous United States. METHODS: A geospatial analysis of age-adjusted incidence and standardized mortality rates from primary liver cancers from 2000 to 2020 was performed. Local indicators of spatial association identified hot-spots, clusters of counties with significantly higher mortality. Temporal analysis of locations with persistent poverty, defined as high (>20%) poverty for at least 30 years, was performed. Social determinants were analyzed individually or globally using composite measures such as the social vulnerability index or social deprivation index. Disparities in county level social determinants between hot-spots and non-hot-spots were analyzed by univariate and multivariate logistic regression. RESULTS: There are distinct clusters of liver cancer incidence and mortality, with hotspots in east Texas and Louisiana. The percentage of people living below the poverty line or Hispanics had a significantly higher odds ratio for being in the top quintile for mortality rates in comparison to other quintiles and were highly connected with mortality rates. Current and persistent poverty were both associated with an evolution from non-hotspots to new hotspots of mortality. Hotspots were predominantly associated with locations with significant levels of socioeconomic vulnerability or deprivation. CONCLUSIONS: Poverty at a county level is associated with mortality from primary liver cancer and clusters of higher mortality. These findings emphasize the importance of addressing poverty and related socio-economic determinants as modifiable factors in public health policies and interventions aimed at reducing mortality from primary liver cancers.

Enhancing the Classification of Congenital Heart Defects for Outcome Association Studies in Birth Defects Registries.

INTRODUCTION: Traditional strategies for grouping congenital heart defects (CHDs) using birth defect registry data do not adequately address differences in expected clinical consequences between different combinations of CHDs. We report a lesion-specific classification system for birth defect registry-based outcome studies. METHODS: For Core Cardiac Lesion Outcome Classifications (C-CLOC) groups, common CHDs expected to have reasonable clinical homogeneity were defined. Criteria based on combinations of Centers for Disease and Control-modified British Pediatric Association (BPA) codes were defined for each C-CLOC group. To demonstrate proof of concept and retention of reasonable case counts within C-CLOC groups, Texas Birth Defect Registry data (1999-2017 deliveries) were used to compare case counts and neonatal mortality between traditional vs. C-CLOC classification approaches. RESULTS: C-CLOC defined 59 CHD groups among 62,262 infants with CHDs. Classifying cases into the single, mutually exclusive C-CLOC group reflecting the highest complexity CHD present reduced case counts among lower complexity lesions (e.g., 86.5% of cases with a common atrium BPA code were reclassified to a higher complexity group for a co-occurring CHD). As expected, C-CLOC groups had retained larger sample sizes (i.e., representing presumably better-powered analytic groups) compared to cases with only one CHD code and no occurring CHDs. DISCUSSION: This new CHD classification system for investigators using birth defect registry data, C-CLOC, is expected to balance clinical outcome homogeneity in analytic groups while maintaining sufficiently large case counts within categories, thus improving power for CHD-specific outcome association comparisons. Future outcome studies utilizing C-CLOC-based classifications are planned.

Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoring.

Public health spatial data are often recorded at different spatial scales (or geographic regions/divisions) and over different correlated variables. Motivated by data from the Dartmouth Atlas Project, we consider jointly analyzing average annual percentages of diabetic Medicare enrollees who have taken the hemoglobin A1c and blood lipid tests, observed at the hospital service area (HSA) and county levels, respectively. Capitalizing on bivariate relationships between these two scales is not immediate as counties are not nested within HSAs. It is well known that one can improve predictions by leveraging correlations across both variables and scales. There are very few methods available that simultaneously model multivariate and multiscale correlations. We propose three new hierarchical Bayesian models for bivariate multiscale spatial data, extending spatial random effects, multivariate conditional autoregressive (MCAR), and ordered hierarchical models through a multiscale spatial approach. We simulated data from each of the three models and compared the corresponding predictions, and found the computationally intensive multiscale MCAR model is more robust to model misspecification. In an analysis of 2015 Texas Dartmouth Atlas Project data, we produced finer resolution predictions (partitioning of HSAs and counties) than univariate analyses, determined that the novel multiscale MCAR and OH models were preferable via out-of-sample metrics, and determined the HSA with the highest within-HSA variability of hemoglobin A1c blood testing. Additionally, we compare the univariate multiscale models to the bivariate multiscale models and see clear improvements in prediction over univariate analyses.

Hypertension Prevalence, Treatment, and Control 90 Days After Acute Stroke Among Mexican American and Non-Hispanic White Adults.

BACKGROUND: High blood pressure (BP) increases recurrent stroke risk. METHODS AND RESULTS: We assessed hypertension prevalence, treatment, control, medication adherence, and predictors of uncontrolled BP 90 days after ischemic or hemorrhagic stroke among 561 Mexican American and non-Hispanic White (NHW) survivors of stroke from the BASIC (Brain Attack Surveillance in Corpus Christi) cohort from 2011 to 2014. Uncontrolled BP was defined as average BP ≥140/90 mm Hg at 90 days poststroke. Hypertension was uncontrolled BP or antihypertensive medication prescribed or hypertension history. Treatment was antihypertensive use. Adherence was missing zero antihypertensive doses per week. We investigated predictors of uncontrolled BP using logistic regression adjusting for patient factors. Median (interquartile range) age was 68 (59-78) years, 64% were Mexican American, and 90% of strokes were ischemic. Overall, 94.3% of survivors of stroke had hypertension (95.6% Mexican American versus 92.0% non-Hispanic White; P=0.09). Of these, 87.9% were treated (87.3% Mexican American versus 89.1% non-Hispanic White; P=0.54). Among the total population, 38.3% (95% CI, 34.4%-42.4%) had uncontrolled BP. Among those with uncontrolled BP prescribed an antihypertensive, 84.5% reported treatment adherence (95% CI, 78.8%-89.3%). Uncontrolled BP 90 days poststroke was less likely in patients with stroke who had a primary care physician (adjusted odds ratio [aOR], 0.45 [95% CI, 0.24-0.83]; P=0.01), greater stroke severity (aOR per-1-point-higher National Institutes of Health Stroke Scale score, 0.96 [95% CI, 0.93-0.99]; P=0.02), or more depressive symptoms (aOR per-1-point-higher Personal Health Questionnaire Depression Scale-8 score, 0.95 [95% CI, 0.92-0.99] among those with a history of hypertension at baseline; P=0.009). CONCLUSIONS: Greater than one third of survivors of stroke have uncontrolled BP at 90 days poststroke in this population-based study. Interventions are needed to improve BP control after stroke.

Genotype-by-Environment Interactions in Nonalcoholic Fatty Liver Disease and Chronic Illness among Mexican Americans: The Role of Acculturation Stress.

This study examines the complex interplay of genetic and environmental interactions that shape chronic illness risk. Evidence is mounting for the role of genetic expression and the immune response in the pathogenesis of chronic disease. In the Rio Grande Valley of south Texas, where 90% of the population is Mexican American, chronic illnesses (including obesity, diabetes, nonalcoholic liver disease, and depression) are reaching epidemic proportions. This study leverages an ongoing family study of the genetic determinants of risk for obesity, diabetes, hypertension, hyperlipidemia, and depression in a Mexican American population. Data collected included blood pressure, BMI, hepatic transaminases, HbA1c, depression (BDI-II), acculturation/marginalization (ARSMA-II), and liver health as assessed by elastography. Heritability and genotype-by-environment (G×E) interactions were analyzed, focusing on the marginalization/separation measure of the ARSMA-II. Significant heritabilities were found for traits such as HbA1c (h2 = 0.52), marginalization (h2 = 0.30), AST (h2 = 0.25), ALT (h2 = 0.41), and BMI (h2 = 0.55). Genotype-by-environment interactions were significant for HbA1c, AST/ALT ratio, BDI-II, and CAP, indicating that genetic factors interact with marginalization to influence these traits. This study found that acculturation stress exacerbates the genetic response to chronic illness. These findings underscore the importance of considering G×E interactions in understanding disease susceptibility and may inform targeted interventions for at-risk populations. Further research is warranted to elucidate the underlying molecular pathways and replicate these findings in diverse populations.

Trends in HPV-associated cancer incidence in Texas medically underserved regions.

BACKGROUND: While cervical cancer incidence rates (IR) in the United States have dropped in the last 20 years, non-cervical human papillomavirus (HPV) associated cancers increased. Many people in Texas (TX) live in medically underserved areas and have higher risk of developing HPV-associated cancers. Since previous studies of these regions focused on cervical cancer, we included other HPV-associated cancers in our analysis of IR in East TX and the TX-Mexico Border compared to other TX regions. METHODS: Cancer data from 2006 to 2019 were obtained from the TX Cancer Registry. Cases of HPV-associated cervical, vaginal, vulvar, penile, anal, and oropharyngeal cancers and corresponding patient-level demographic data were included. We calculated IR per 100,000 and drew heat maps to visualize cancer IR by county. To control potential confounders, we added county-level risk factors: rates for smoking, excessive drinking, obesity, STIs, primary care provider availability and dentist availability, from the County Health Rankings and Roadmaps program. We reported IRs by region and time and estimated unadjusted and adjusted risk ratio (RR) for association of each type of cancer and region. Lastly, we created adjusted models for each cancer by period to see time trends of regional differences. RESULTS: Risk of anal, cervical, and oropharyngeal cancer was lower at parts of the Border than in the rest of TX in the adjusted model. We also observed increasing anal and oropharyngeal cancer risk and decreasing cervical and vaginal cancer risk over time. CONCLUSION: Patient sociodemographics, behavioral risk factors, and access to care may contribute to some observed differences in cancer IR across regions. This indicates that targeted prevention efforts towards these regions, especially in low socioeconomic status communities, may benefit future generations.

Clinical and sociodemographic features of the Texas resilience against depression (T-RAD) study: Findings from the initial cohort.

OBJECTIVE: The burden of major depressive disorder is compounded by a limited understanding of its risk factors, the limited efficacy of treatments, and the lack of precision approaches to guide treatment selection. The Texas Resilience Against Depression (T-RAD) study was designed to explore the etiology of depression by collecting comprehensive socio-demographic, clinical, behavioral, neurophysiological/neuroimaging, and biological data from depressed individuals (D2K) and youth at risk for depression (RAD). METHODS: This report details the baseline sociodemographic, clinical, and functional features from the initial cohort (D2K N = 1040, RAD N = 365). RESULTS: Of the total T-RAD sample, n = 1078 (76.73 %) attended ≥2 in-person visits, and n = 845 (60.14 %) attended ≥4 in-person visits. Most D2K (84.82 %) had a primary diagnosis of any depressive disorder, with a bipolar disorder diagnosis being prevalent (13.49 %). RAD participants (75.89 %) did not have a psychiatric diagnosis, but other non-depressive diagnoses were present. D2K participants had 9-item Patient Health Questionnaire scores at or near the moderate range (10.58 ± 6.42 > 24 yrs.; 9.73 ± 6.12 10-24 yrs). RAD participants were in the non-depressed range (2.19 ± 2.65). While the age ranges in D2K and RAD differ, the potential to conduct analyses that compare at-risk and depressed youth is a strength of the study. The opportunity to examine the trajectory of depressive symptoms in the D2K cohort over the lifespan is unique. LIMITATIONS: As a longitudinal study, missing data were common. CONCLUSION: T-RAD will allow data to be collected from multiple modalities on a clinically well-characterized sample. These data will drive important discoveries on diagnosis, treatment, and prevention of depression.

The cumulative contribution of direct and indirect traumas to the production of PTSD.

OBJECTIVE: Posttraumatic Stress Disorder (PTSD) affects millions of people worldwide. While the relationship between direct exposure to traumatic events and PTSD is well-established, the influence of indirect trauma exposure on PTSD remains unclear. It is similarly unclear what role cumulative exposure to direct and indirect traumas play in the risk of PTSD. METHODS: The study uses data from the Houston Trauma and Recovery Study, conducted on 2020-2021, and involved a random sampling of 1,167 individuals residing in Houston during Hurricane Harvey in 2017. Participants were asked about their experiences related to both Hurricane Harvey and the subsequent COVID-19 pandemic. Exposures were categorized as direct or indirect traumas, in line with the criteria delineated in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Cumulative exposures were also calculated. RESULTS: Among participants, 12.6% were experiencing current PTSD. There were significant associations between both direct [OR = 3.18, 95% CI 1.85, 5.46] and indirect [OR = 1.91, 95% CI 1.05, 3.46] traumas related to Harvey, as well as direct [OR = 2.13, 95% CI 1.20, 3.77] and indirect [OR = 1.69, 95% CI 0.93, 3.09] traumas due to COVID and the risk of PTSD in fully adjusted models. Further, significant associations were found between the cumulative exposure to traumas from both Hurricane Harvey and COVID-19 and the risk of PTSD, considering both direct [OR = 2.53, 95% CI 1.36, 4.70] and indirect exposures [OR = 2.79, 95% CI 1.47, 5.28]. CONCLUSIONS: Our study offers support for connections between exposure to both direct and indirect traumas stemming from large-scale disasters and PTSD. Moreover, we show that cumulative exposures to multiple large-scale events increase the risk of PTSD. This highlights the importance of the consideration of a range of exposures as risks for PTSD, particularly in a time of compounding disasters and broad population exposures to these events.

Newborn screening analytes and structural birth defects among 27,000 newborns.

BACKGROUND: Emerging evidence suggests newborn screening analytes may yield insights into the etiologies of birth defects, yet no effort has evaluated associations between a range of newborn screening analytes and birth defects. METHODS: This population-based study pooled statewide data on birth defects, birth certificates, and newborn screening analytes from Texas occurring between January 1, 2007 and December 31, 2009. Associations between a panel of thirty-six newborn screening analytes, collected by the statewide Texas Newborn Screening Program, and the presence of a birth defect, defined as at least one of 39 birth defects diagnoses recorded by the Texas Birth Defects Registry, were assessed using regression analysis. FINDINGS: Of the 27,643 births identified, 20,205 had at least one of the 39 birth defects of interest (cases) as identified by the Texas Birth Defects Registry, while 7,438 did not have a birth defect (controls). Among 1,404 analyte-birth defect associations evaluated, 377 were significant in replication analysis. Analytes most consistently associated with birth defects included the phenylalanine/tyrosine ratio (N = 29 birth defects), tyrosine (N = 28 birth defects), and thyroxine (N = 25 birth defects). Birth defects most frequently associated with a range of analytes included gastroschisis (N = 29 analytes), several cardiovascular defects (N = 26 analytes), and spina bifida (N = 23 analytes). CONCLUSIONS: Several significant and novel associations were observed between newborn screening analytes and birth defects. While some findings could be consequences of the defects themselves or to the care provided to infants with these defects, these findings could help to elucidate mechanisms underlying the etiology of some birth defects.

Clinical correlates of anxious depression in youth from the Texas Youth Depression and Suicide Research Network (TX-YDSRN).

BACKGROUND: Anxious depression is a prevalent subtype of depression associated with adverse outcomes such as higher depression severity and higher rates of suicidality. This study leveraged a state-wide research registry of depressed and/or suicidal youth to compare the prevalence, clinical correlates, and symptom patterns of those with versus without anxious depression. METHODS: We included baseline data from 797 participants (ages 8-20) with a diagnosis of a depressive disorder. A score on the Generalized Anxiety Disorder Scale (GAD-7) ≥ 10 was used to define individuals with and without anxious depression. A structured battery was used to capture psychiatric diagnostic status, depression/anxiety severity, suicide risk, history of trauma, functioning, and resilience. RESULTS: The prevalence of anxious depression among youth with depressive disorders was 59.5 % (n = 474). Youth with anxious depression had greater depression severity and anxiety symptoms, higher suicidality, and a higher prevalence of comorbid anxiety disorders than those without. Youth with anxious depression had greater impairment in functioning defined as worse pain interference, pain severity, fatigue, and social relationships compared to those without anxious depression. Youth with anxious depression also reported higher rates of depressive symptoms such as irritable mood, feelings of guilt, and psychomotor agitation compared to those without anxious depression. CONCLUSION: Anxious depression is associated with worse depression severity, higher suicidality, and lower functioning. Longitudinal work is needed to examine long-term courses of anxious depression to explore its stability as a diagnostic subcategory.

Wastewater Target Pathogens of Public Health Importance for Expanded Sampling, Houston, Texas, USA.

Building on the success of initiatives put forth during the COVID-19 pandemic response, US health officials are expanding wastewater surveillance programs to track other target pathogens and diseases of public health interest. The Houston Health Department in Houston, Texas, USA, conducted a hypothesis-generating study whereby infectious disease subject matter experts suggested potential targets. This study addressed 2 criteria recommended by the National Academies of Sciences, Engineering, and Medicine for selecting wastewater targets. Results can be used as a basis of a questionnaire for a future population-based study to recommend targets of highest priority to include for expanded wastewater sampling.

Latent classification model for censored longitudinal binary outcome.

Latent classification model is a class of statistical methods for identifying unobserved class membership among the study samples using some observed data. In this study, we proposed a latent classification model that takes a censored longitudinal binary outcome variable and uses its changing pattern over time to predict individuals' latent class membership. Assuming the time-dependent outcome variables follow a continuous-time Markov chain, the proposed method has two primary goals: (1) estimate the distribution of the latent classes and predict individuals' class membership, and (2) estimate the class-specific transition rates and rate ratios. To assess the model's performance, we conducted a simulation study and verified that our algorithm produces accurate model estimates (ie, small bias) with reasonable confidence intervals (ie, achieving approximately 95% coverage probability). Furthermore, we compared our model to four other existing latent class models and demonstrated that our approach yields higher prediction accuracies for latent classes. We applied our proposed method to analyze the COVID-19 data in Houston, Texas, US collected between January first 2021 and December 31st 2021. Early reports on the COVID-19 pandemic showed that the severity of a SARS-CoV-2 infection tends to vary greatly by cases. We found that while demographic characteristics explain some of the differences in individuals' experience with COVID-19, some unaccounted-for latent variables were associated with the disease.

Outcomes Among Mexican American and Non-Hispanic White Informal Stroke Caregivers.

BACKGROUND: Informal home care is prevalent among Mexican American stroke survivors, but data on the impact on caregivers are not available. The aim was to assess ethnic differences in informal stroke caregiving and caregiver outcomes at 90 days poststroke. METHODS: Informal caregivers were recruited from the population-based Brain Attack Surveillance in Corpus Christi Project (2019-2023), conducted in a bi-ethnic community in Texas. Caregivers of community-dwelling stroke survivors who were not cognitively impaired and not employed by a formal caregiving agency were interviewed. Interviews included sociodemographics, dyad characteristics, Modified Caregiver Strain Index (range 0-26, higher more positive), Positive Aspects of Caregiving scale (range, 5-45, higher more), Patient Health Questionnaire-8 (range, 0-30, higher worse), and PROMIS (Patient-Reported Outcomes Measurement Information System)-10 physical (range, 16.2-67.7, higher better) and mental health (range, 21.2-67.6, higher better) summary scores. Stroke survivor data was from interviews and medical records. Propensity score methods were used to balance caregiver and patient factors among Mexican American and Non-Hispanic White caregivers by fitting a model with ethnicity of caregiver as the outcome and predictors being caregiver sociodemographics, patient-caregiver dyad characteristics, and patient sociodemographics and functional disability. Propensity scores were included as a covariate in regression models, considering the association between ethnicity and outcomes. RESULTS: Mexican American caregivers were younger, more likely female, and more likely a child of the stroke survivor than Non-Hispanic White caregivers. Mexican American caregiver ethnicity was associated with less caregiver strain (ß, -1.87 [95% CI, -3.51 to -0.22]) and depressive symptoms (ß, -2.02 [95% CI, -3.41 to -0.64]) and more favorable mental health (ß, 4.90 [95% CI, 2.49-7.31]) and positive aspects of caregiving (ß, 3.29 [95% CI, 1.35-5.23]) but not associated with physical health. CONCLUSIONS: Understanding the mechanisms behind more favorable caregiver outcomes in Mexican American people may aid in the design of culturally sensitive interventions to improve both caregiver and stroke survivor outcomes, potentially across all race and ethnic groups.

Neighborhood Resources and Health Outcomes Among Stroke Survivors in a Population-Based Cohort.

BACKGROUND: Stroke survivors believe neighborhood resources such as community centers are beneficial; however, little is known about the influence of these resources on stroke outcomes. We evaluated whether residing in neighborhoods with greater resource density is associated with favorable post-stroke outcomes. METHODS AND RESULTS: We included Mexican American and non-Hispanic White stroke survivors from the Brain Attack Surveillance in Corpus Christi project (2009-2019). The exposure was density of neighborhood resources (eg, community centers, restaurants, stores) within a residential census tract at stroke onset. Outcomes included time to death and recurrence, and at 3 months following stroke: disability (activities of daily living/instrumental activities of daily living), cognition (Modified Mini-Mental State Exam), depression (Patient Health Questionnaire-8), and quality of life (abbreviated Stroke-Specific Quality of Life scale). We fit multivariable Cox regression and mixed linear models. We considered interactions with stroke severity, ethnicity, and sex. Among 1786 stroke survivors, median age was 64 years (interquartile range, 56-73), 55% men, and 62% Mexican American. Resource density was not associated with death, recurrence, or depression. Greater resource density (75th versus 25th percentile) was associated with more favorable cognition (Modified Mini-Mental State Exam mean difference=0.838, 95% CI=0.092, 1.584) and among moderate-severe stroke survivors, with more favorable functioning (activities of daily living/instrumental activities of daily living=-0.156 [95% CI, -0.284 to 0.027]) and quality of life (abbreviated Stroke-Specific Quality of Life scale=0.194 [95% CI, 0.029-0.359]). CONCLUSIONS: We observed associations between greater resource density and cognition overall and with functioning and quality of life among moderate-severe stroke survivors. Further research is needed to confirm these findings and determine if neighborhood resources may be a tool for recovery.

Psychosocial stressors of adolescents with E-cigarette, or vaping, product-use associated lung injury: A qualitative study.

BACKGROUND AND OBJECTIVES: Adolescent electronic cigarette (EC) use has reached epidemic rates and has been linked to numerous mental health and psychosocial stressors (PS). There is limited qualitative data on PS for adolescents with e-cigarette, or vaping, product-use associated lung injury (EVALI), a severe complication of EC use. METHODS: All patients hospitalized at Children's Medical Center in Dallas, Texas from 2018 to 2022 and met CDC case definitions for EVALI were included in the analysis. PS were extracted from the electronic health record and analyzed for recurring themes using the HEADSS assessment as a framework. Results were summarized using descriptive statistics, and representative quotations were selected to highlight each theme. RESULTS: Forty-three adolescents (mean age 16.3 years; 62.8 % male; 39.5 % Non-Hispanic White, 60.5 % Hispanic) were included in the analysis, and 40 (93 %) reported PS. The most common themes were family (51 %; "restraining order issued against 28-year-old brother"), polysubstance use (77 %; "experimenting with…ecstasy, LSD, CCC, misusing Adderall"), and mental health (63 %; "has been suicidal since he was 'a toddler'"). Less commonly, patients reported PS related to peers (28 %; "spending the entire day at the cemetery where his best friend was buried"), school (49 %; "attending his second alternative school"), and the legal system (19 %; "placed in juvenile detention, released, and will be on probation"). CONCLUSIONS: Adolescents with EVALI had PS that were chronic, severe, and involving multiple domains. These findings emphasize the importance of psychosocial screening in adolescents and coordinating interdisciplinary care with mental health and social services.

Parasitic Contamination of Soil in the Southern United States.

Parasites are generally associated with lower income countries in tropical and subtropical areas. Still, they are also prevalent in low-income communities in the southern United States. Studies characterizing the epidemiology of parasites in the United States are limited, resulting in little comprehensive understanding of the problem. This study investigated the environmental contamination of parasites in the southern United States by determining each parasite's contamination rate and burden in five low-income communities. A total of 499 soil samples of approximately 50 g were collected from public parks and private residences in Alabama, Louisiana, Mississippi, South Carolina, and Texas. A technique using parasite floatation, filtration, and bead-beating was applied to dirt samples to concentrate and extract parasite DNA from samples and detected via multiparallel quantitative polymerase chain reaction (qPCR). qPCR detected total sample contamination of Blastocystis spp. (19.03%), Toxocara cati (6.01%), Toxocara canis (3.61%), Strongyloides stercoralis (2.00%), Trichuris trichiura (1.80%), Ancylostoma duodenale (1.42%), Giardia intestinalis (1.40%), Cryptosporidium spp. (1.01%), Entamoeba histolytica (0.20%), and Necator americanus (0.20%). The remaining samples had no parasitic contamination. Overall parasite contamination rates varied significantly between communities: western Mississippi (46.88%), southwestern Alabama (39.62%), northeastern Louisiana (27.93%), southwestern South Carolina (27.93%), and south Texas (6.93%) (P <0.0001). T. cati DNA burdens were more significant in communities with higher poverty rates, including northeastern Louisiana (50.57%) and western Mississippi (49.60%) compared with southwestern Alabama (30.05%) and southwestern South Carolina (25.01%) (P = 0.0011). This study demonstrates the environmental contamination of parasites and their relationship with high poverty rates in communities in the southern United States.

The plantation system and the roots of the southern rural mortality penalty in the northern Blackland Prairies of Texas.

In recent decades, public health researchers have observed that the health of rural people has declined relative to the health of urban people in the United States. This disparity in health and life expectancy across the rural/urban divide has been described as the Rural Mortality Penalty. However, public health researchers have also noted that health and life expectancies are not uniform across the rural United States, but vary according to race, sex, gender, and other factors. Rural health disparities also vary geospatially and are especially pronounced in the American South, leading to recent calls for greater attention to the structural factors that shape the health of rural Southerners. In this study, we take an anthropological and historically explicit approach to study the impacts of systemic violence on rural health. Specifically, we focus on farm labor within the plantation system as a context where geospatial, racial, and sexual differences in mortality, often studied in isolation, find a common historical source. Here we analyze vital records data from the post-emancipation period in the Blackland Prairies ecoregion of Texas, a period when emerging forms of plantation labor such as tenant farming, convict leasing, and migrant labor were being developed to maintain the plantation economy after the abolishment of chattel slavery. We find that the plantation system remains a strong predictor of differential mortalities in rural Texas, accounting for nearly all the variation that exists across the rural/urban divide and elucidating the complex interactions of race, sex, labor, and health in the rural South.

Characteristics and Outcomes of Patients With Spina Bifida in Texas by Patient Age.

INTRODUCTION: Spina bifida (SB) occurs in 3.5/10,000 live births and is associated with significant long-term neurologic and urologic morbidity. We explored the characteristics and outcomes of pediatric patients with SB and the facilities that treat them in Texas. METHODS: We retrospectively reviewed a statewide hospital inpatient discharge database (2013-2021) to identify patients aged <18 y with SB using International Classification of Diseases 9/10 codes. Patients transferred to outside hospitals were excluded to avoid double-counting. Descriptive statistics and chi-square test were performed. RESULTS: Seven thousand five hundred thirty one inpatient hospitalizations with SB were analyzed. Most SB care is provided by a few facilities. Two facilities (1%) averaged >100 SB admissions per year (33% of patients), while 15 facilities (8%) treat 10-100 patients per year (51% of patients). Most facilities (145/193, 75%) average less than one patient per year. Infants tended to be sicker (17% extreme illness severity, P < 0.001). Overall mortality is low (1%), primarily occurring in the neonatal period (8%, P < 0.001). Most admissions are associated with surgical intervention, with 63% of encounters having operating room charges with an average cost of $25,786 ± 24,884. Admissions for spinal procedures were more common among infants, whereas admissions for genitourinary procedures were more common among older patients (P < 0.001). The average length of stay was 8 ± 16 d with infants having the longest length of stay (19 ± 33, P < 0.001). CONCLUSIONS: Patients have significant long-term health needs with evolving pediatric surgical indications as they grow. Pediatric SB care is primarily provided by a small number of facilities in Texas. Longitudinal care coordination of their multidisciplinary surgical care is needed to optimize patient care.