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.

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.

Enhancing food access in a comprehensive cancer center area of influence through local partner capacity building.

BACKGROUND: Food insecurity, an economic and social condition of limited food access, is associated with poor diet quality-a risk factor for several common cancers. The University of Texas MD Anderson Cancer Center supports healthy food access through community-led evidence translation by actively partnering with community-based organizations (CBOs). These partnerships aim to enhance the capacity of food assistance CBOs to effectively implement evidence-based food insecurity mitigation programs in the cancer center's area of influence. METHODS: This case study aims to describe the cancer center's model for local food access capacity building and detail operationalization in the context of a whole-community cancer prevention effort (Be Well Baytown) in Baytown, Texas. RESULTS: Elements central to the capacity building model include (i) assessment of baseline needs and capacity, (ii) empowering a community champion within a relevant CBO, (iii) mapping inter-sectoral community partnerships, collaborations, and linkages, and (iv) leveraging systems, connections, and resources to provide an enabling environment for overall food access systems growth. Through this process, Be Well Baytown enhanced the capacity of a local food pantry leading to increases in total reach, pounds of food distributed, and number of food distribution events in collaboration with intersectoral partners from 2018 to 2023. CONCLUSION: This case study highlights the model's implementation as a co-benefit community partnership strategy to maximize the impact of food security programs integrated with comprehensive cancer center prevention efforts.

Identification of Late Pleistocene and Holocene fossil lizards from Hall's Cave (Kerr County, Texas) and a primer on morphological variation in North American lizard skulls.

Fossil identification practices have a profound effect on our interpretation of the past because these identifications form the basis for downstream analyses. Therefore, well-supported fossil identifications are necessary for examining the impact of past environmental changes on populations and communities. Here we apply an apomorphic identification framework in a case study identifying fossil lizard remains from Hall's Cave, a late Quaternary fossil site located in Central Texas, USA. We present images and descriptions of a broad comparative sample of North American lizard cranial elements and compile new and previously reported apomorphic characters for identifying fossil lizards. Our fossil identifications from Hall's Cave resulted in a minimum of 11 lizard taxa, including five lizard taxa previously unknown from the site. Most of the identified fossil lizard taxa inhabit the area around Hall's Cave today, but we reinforce the presence of an extirpated species complex of horned lizard. A main goal of this work is to establish a procedure for making well-supported fossil lizard identifications across North America. The data from this study will assist researchers endeavoring to identify fossil lizards, increasing the potential for novel discoveries related to North American lizards and facilitating more holistic views of ancient faunal assemblages.

Cooking Well with Diabetes: A Healthy Cooking School for Diabetes Prevention and Management.

One in ten Americans suffers from type 2 diabetes, which, if not managed well, can result in severe complications, disability, and premature death. Diabetes education classes can play a pivotal role in providing practical education on diabetes and self-care behaviors, with a particular emphasis on dietary management, which is often regarded as the most demanding diabetes self-care behavior. The Texas A&M AgriLife Extension Service developed Cooking Well with Diabetes (CWWD), a four-week interactive diabetes education series, with each week consisting of a lecture on healthy eating coupled with cooking lessons featuring diabetes-friendly recipes. The current study aimed to examine the effectiveness of CWWD in improving the frequency of healthy food preparation and consumption of program participants. Secondary data from 2017 to 2023 was analyzed involving 1574 adults from 59 predominantly rural Texas counties. Data from self-reported pre and post evaluations showed improvements in healthy food preparation and consumption behaviors. The curriculum enabled Extension Educators to introduce healthful dietary behaviors to a diverse group of clients. The curriculum can be adapted by Extension Educators in other states reaching a broader audience. The findings will inform future research aimed at planning and implementing successful diabetes education programs.

STOP-HCV-HCC Program: Privacy-Preserving Innovation for Remote Data Access Analytics at Federally Qualified Health Centers in South Texas.

STOP-HCV-HCC program to screen and treat hepatitis C, vaccinate for hepatitis B, and prevent hepatocellular carcinoma is implementing a cloud-based privacy-preserving platform to overcome electronic health record barriers to reporting, without data transfer, at four federally qualified health centers in South Texas, USA.

Needs of family caregivers of hospitalised adults with dementia during care transitions: a qualitative study in a US Department of Veterans Affairs Hospital.

OBJECTIVE: To identify the needs of caregivers of hospitalised adults with dementia in the hospital and during care transitions. DESIGN: Pragmatic qualitative inquiry with semi-structured interviews. SETTING: Michael E. DeBakey Veterans Affairs Medical Center in Houston, Texas, USA. PARTICIPANTS: 12 family caregivers (family member (n=11); friend (n=1)) and 15 health professionals (hospital medicine physicians (n=4), inpatient nurse case managers (n=2), social workers (n=4), outpatient geriatrics providers (n=2), a primary care provider (n=1), geriatric psychiatrists (n=2)) were interviewed. Caregivers were recruited while their care recipient was hospitalised and were interviewed at least 2 weeks after the care recipient was discharged from the hospital. Health professionals were eligible for the study if they provided care to patients with dementia in the inpatient or outpatient setting. RESULTS: Four recommendations emerged from the analysis: (1) engage caregivers as partners in the care team, (2) provide dementia-specific information and training, (3) connect caregivers to home and community-based services and (4) provide care navigation and support for the caregiver posthospitalisation. CONCLUSIONS: Hospital care transitions are challenging for caregivers of hospitalised adults living with dementia. Care transition interventions designed to support caregivers with tailored, dementia-specific information and services are needed.

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.

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.

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.

fRAP 2.0: a community engagement method applied to cervical cancer disparities among Hispanic women.

focused Rapid Assessment Process (fRAP) 2.0 is a community engagement approach combining geospatial mapping with rapid qualitative assessment in cyclical fashion within communities to capture multifactorial and multilevel features impacting primary care problems. fRAP 2.0 offers primary care researchers a methodology framework for exploring complex community features that impact primary healthcare delivery and outcomes. The fRAP 2.0 study design expands the fRAP from a sequential design to a cyclical process of geospatial mapping and rapid qualitative assessment in search of modifiable contextual factors. Research participants are stakeholders from various socioecological levels whose perspectives inform study outcomes that they may use to then become the agents of change for the very problems they helped explore. Here, we present a proof-of-concept study for fRAP 2.0 examining disparities in cervical cancer mortality rates among Hispanic women in Texas. The primary outcomes of interest are features at the community level, medical health system level and regional government policy levels that offer opportunities for collaborative interventions to improve cervical cancer outcomes. In this study, geospatial mapping of county and ZIP code-level variables impacting postdiagnosis cervical cancer care at community, medical and policy levels were created using publicly available data and then overlaid with maps created with Texas Cancer Registry data for cervical cancer cases in three of the largest population counties. Geographically disparate areas were then qualitatively explored using participant observation and ethnographic field work, alongside 39 key informant interviews. Roundtable discussion groups and stakeholder engagement existed at every phase of the study. Applying the fRAP 2.0 method, we created an action-oriented roadmap of next steps to improve cervical cancer care disparities in the three Texas counties with emphasis on the high disparity county. We identified local change targets for advocacy and the results helped convene a stakeholder group that continues to actively create on-the-ground change in the high-disparity county to improve cervical cancer outcomes for Hispanic women.

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.

Unraveling the spatio-temporal dynamics of soil and root-associated microbiomes in Texas olive orchards.

Understanding the structure and diversity of microbiomes is critical to establishing olives in non-traditional production areas. Limited studies have investigated soil and root-associated microbiota dynamics in olives across seasons or locations in the United States. We explored the composition and spatiotemporal patterns of the olive-associated microbial communities and specificity in two niches (rhizosphere and root endosphere), seasons (spring, summer, and fall), and domains (bacteria and fungi) in the microbiome of the olive cultivar Arbequina across three olive orchards in Texas. Phylum Proteobacteria, followed by Actinobacteriota, dominated the bacterial populations in the rhizosphere and endosphere. Rubrobacter and Actinophytocola were dominant taxa in the rhizosphere and root endosphere at the genus level. Among fungal communities, phylum Ascomycota was prevalent in the rhizosphere and endosphere, while members of the Chaetomiaceae family outnumbered other taxa in the root endosphere. As per the alpha diversity indices, the rhizosphere at Moulton showed much higher richness and diversity than other places, which predicted a significant difference in rhizosphere between locations for bacterial diversity and richness. There was no significant variation in the bacterial diversity in the niches and the fungal diversity within the root endosphere between locations. Beta diversity analysis confirmed the effect of compartments-in influencing community differences. Microbial diversity was apparent within the endosphere and rhizosphere. The seasons influenced only the rhizosphere fungal diversity, contrasting the bacterial diversity in either niche. The research provided a comprehensive overview of the microbial diversity in olive trees' rhizosphere and root endosphere. The abundance and composition of OTUs associated with the rhizosphere soil of Arbequina suggest its role as a source reservoir in defining the potential endophytes.

Association of perceived neighborhood air quality problems with attempt to quit cigarette smoking: a cross-sectional study in Texas.

Background: Cigarette smoking is the major preventable cause of premature deaths in the United States. Attempting to quit smoking is an important step toward smoking cessation. Although it has been studied extensively, limited information on the association between attempts to quit smoking and neighborhood air quality problems is available. Therefore, we examined the association between attempts to quit smoking in the past year and perceived neighborhood air quality problems among adult Texans who smoke. Methods: In 2018, a cross-sectional multistage area probability design-based survey was administered to collect sociodemographic, behavioral, and health-related information from a representative sample of 2050 Texas residents. The current study included 486 adult respondents who reported smoking within the past 12 months. The association between attempts to quit smoking and perceived neighborhood air quality (measured by self-reported problems with neighborhood air quality) was examined using a population-weighted multivariable logistic regression analysis. Results: Overall, 60.7% of the 486 respondents attempted to quit cigarette smoking. The prevalence of attempting to quit was 74.6% for those reporting perceived neighborhood air quality problems. In the multivariable analysis, a higher likelihood of attempting to quit smoking was found among individuals with perceived neighborhood air quality problems (AOR: 1.906 [1.104-3.289]) and those who were married or living as married (AOR: 1.876 [1.161-3.033]). The likelihood of attempts to quit smoking was lower among males (AOR: 0.629 [0.397-0.995]) and decreased with age (AOR: 0.968 [0.951-0.984]). Discussion: The perceived neighborhood air quality problems were found to independently predict attempts to quit cigarette smoking in Texas. To encourage quitting smoking among individuals living in neighborhoods with poor air quality, such neighborhoods should receive tailored and evidence-based interventions to improve community education, social support, and healthcare professionals' assistance to quit smoking.

Improving pediatric atopic dermatitis care in the emergency department and primary care setting: a collaborative quality improvement pilot project.

Emergency department visits and healthcare expenditures for pediatric atopic dermatitis have been increasing over the last two decades. There is a paucity of replicable quality improvement initiatives addressed at educating primary care and emergency medicine clinicians on this condition. The goal of this initiative was to improve clinician knowledge and comfort in the diagnosis and management of pediatric atopic dermatitis and superinfection. Clinicians were recruited via email from academic and community settings in Travis County, Texas, in 2020. They were sent a pre-intervention survey, a series of three quizzes, and a post-intervention survey. After each quiz, participants received performance feedback and various forms of multimodal education. Differences between the first and final quiz scores and clinician confidence levels were analyzed for statistical significance. Fifty-six clinicians completed the intervention. The average overall and treatment-specific scores increased significantly by 10% and 37%, respectively. Further, confidence levels improved significantly in the majority of clinicians. Clinician qualitative feedback revealed high satisfaction. Results from this educational quality improvement project have demonstrated that this is an effective and replicable resource for educating clinicians who manage pediatric atopic dermatitis in the emergency department and outpatient setting.

The N400 effect captures nuances in implicit political preferences.

We conducted a study in San Antonio, Texas, in the weeks preceding the 2022 state Governor election to determine if implicit or explicit measures of political preference could predict voter behavior. We adapted an established event-related potential (ERP) paradigm showing political statements to participants one word at the time where the last word made the statement pro-Republican or pro-Democratic. Our sample of college students included decided and undecided voters, and was reflective of the demographic make-up of south-central Texas. Our implicit measures were an established authoritarianism scale and the N400 effect to the sentence-final word. The N400 is an ERP to any stimulus that engages semantic memory and has been shown to measure implicit disagreement with political statements. Explicit measures of political preference and authoritarianism were predictive of vote choice. The expected N400 effect was found for Democratic voters, with larger amplitude to pro-Republican than pro-Democratic statements. Surprisingly, decided Republican voters showed no difference in N400 responses to pro-Republican and pro-Democratic statements and there was no group difference in the N400 effect. In turn, the N400 was not predictive of voter behavior. We argue that the N400 effect reflected individual political preferences, but that ultimately voter behavior aligned with partisan identity.

Changes in the Perceptions of the Neighborhood Environment and Physical Activity Patterns Among Mexican Americans on the Texas-Mexico Border.

INTRODUCTION: Little research on the association of neighborhood environment with physical activity in resource-poor communities has been done. This study assessed changes in perceptions of the neighborhood environment and the association between those perceptions and physical activity in Mexican Americans on the Texas-Mexico border in an area where there would be community efforts to enhance pedestrian and cycling infrastructure and programming. METHODS: We analyzed data from a population-based cohort of Mexican American individuals on the Texas-Mexico border. From 2008 to 2018, interviewer-administered questionnaires were used to collect perceptions of neighborhood environment and physical activity at baseline, 5- and 10-year follow-ups, and at other ancillary study visits, with an average of 3 data points per participant. We conducted multivariable longitudinal logistic regression analyses to assess if the changes in odds of positive perceptions of the neighborhood environment over the study years differed by physical activity patterns. RESULTS: The sample (n = 1036) was mostly female (71%), born in Mexico (70%), and had no health insurance (69%). We saw improvements in the perceptions of several neighborhood environment attributes from 2008 to 2018, though we saw different longitudinal trajectories in these perceptions based on an individual's longitudinal physical activity patterns. By 2014-2018, we saw significantly higher positive perceptions of the neighborhood environment for those who consistently met physical activity guidelines compared with those who did not (adjusted rate ratio = 1.12, P = .049). DISCUSSION: We found that perceptions of many neighborhood environment attributes improved between 2008 and 2018, and that overall positive perceptions were associated with consistently meeting physical activity guidelines over time.

Comparing Unmet Service Needs Between Rural and Urban Family Caregivers of People Living With Alzheimer's Disease and Related Dementias: A Multisite Study.

BACKGROUND AND OBJECTIVES: The scarcity of resources and available caregiving services in rural areas in the United States has been well documented. However, less research has compared unmet service needs between caregivers of people with Alzheimer's disease and related dementias (ADRD) in rural versus urban areas. RESEARCH DESIGN AND METHODS: Using semistructured interviews guided by theories of health service use and dependent care, we interviewed 20 family caregivers residing in rural areas of Western North Carolina and 18 caregivers within the urban setting of Houston, Texas, and compared their unmet service needs and contextual factors that facilitate their service use. RESULTS: Thematic analyses revealed similar unmet service needs among rural and urban caregivers; however, the ways they approached and solved their challenges differed. Caregivers in rural areas wished for more information and caregiver support whereas urban caregivers looked for information they needed until they found the answers. Rural caregivers expressed guilt about using services because they felt they were limited and zero-sum whereas urban caregivers shared available resources so that other caregivers could use them as well. Unmet service needs for urban caregivers included more racially and ethnically specific services for people with ADRD in their ethnic-specific languages and foods while rural caregivers' cultural needs were not racially and ethnically specific but for more place-specific services. DISCUSSION AND IMPLICATIONS: Recommendations for rural caregivers included utilizing online and virtual opportunities and expanding their reach across the United States. For urban caregivers, increasing culturally tailored service options would likely increase access and use.

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.

Unveiling the Need to Improve Personalized Applicant Tools: A Critical Evaluation of the Reliability of the Texas STAR database in Predicting Match Success for Plastic Surgery Applicants.

OBJECTIVES: Using Texas STAR (seeking transparency in application to residency), we aimed to 1) examine predictors of matching success in integrated plastic surgery residency programs and 2) assess the reliability of the tool. DESIGN, SETTING, AND PARTICIPANTS: A retrospective analysis of self-reported nationwide data of plastic surgery residency applicants between 2021 and 2023 across 146 participating medical schools were included. A comparison analysis was performed between matched and unmatched applicants using chi-squared tests, t-tests, and logistic regression models. NRMP data and literature were referenced to determine reliability. RESULTS: Of the 209 plastic surgery resident applications, 147 matched (70.3%) and 62 went unmatched (29.7%). Average United States Medical Licensing Examination (USMLE) Step 1 and 2 scores were 248 and 257, respectively. Between matched and unmatched cohorts, no significant differences were observed in Alpha Omega Alpha (AOA) status, Gold Humanism Honor Society (GHHS) status, mean number of research experiences/presentations, volunteer experiences, leadership positions, and programs applied. Significant predictors of matching included taking a research year (OR 2.07, CI 0.99-4.34, p= 0.052), 8+ peer-reviewed publications (OR 2.29, CI 1.22-4.30, p = 0.009), geographic connection (p = 0.02), and 13+ interviews attended (OR 2.94, CI 1.56 -5.51, p < 0.001). These findings are consistent with current literature and the NRMP. Upon analysis of the qualitative free text responses on general recommendations for prospective applicants by users, subinternships, connections, interviews, research, letter of recommendation quality, home advantage, and mentorship were prominent themes of advice provided by both matched and unmatched cohorts. CONCLUSIONS: Texas STAR is a resourceful and reliable tool. We conclude that a research year and geographic connections are strong predictors of matching in plastic surgery. However, more factors (e.g., applicants' home medical school, number of sub internships, and number of mentors) should be considered to make a well-informed decision on determining their own competitiveness, away rotations and residency programs.