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.
CONCLUSIONS: 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.

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.

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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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]).
UNASSIGNED: 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.

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.

The ongoing climate change crisis presents challenges to the global public health system. The risk of gastrointestinal illness (GI) related hospitalization increases following extreme weather events but is largely under-reported and under-investigated. This study assessed the association between precipitation and GI-related hospital admissions in four major cities in Texas. Daily data on GI-related hospital admissions and precipitation from 2004 to 2014 were captured from the Texas Department of State Health Services and the National Climate Data Center. Distributed lagged nonlinear modeling approaches were employed to examine the association between precipitation and GI-related hospital admissions. Results showed that the cumulative risk ratios (RRs) of GI-related hospital admissions were elevated in the 2 weeks following precipitation events; however, there were differences observed across study locations. The cumulative RR of GI-related hospitalizations was significantly higher when the amount of daily precipitation ranged from 3.3 mm to 13.5 mm in Dallas and from 6.0 mm to 24.5 mm in Houston. Yet, substantial increases in the cumulative RRs of GI-related hospitalizations were not observed in Austin or San Antonio. Age-specific and cause-specific GI-related hospitalizations were also found to be associated with precipitation events following the same pattern. Among them, Houston depicted the largest RR for overall GI and subgroup GI by age and cause, particularly for the overall GI among children aged 6 and under (RR = 1.35; 95 % CI = 1.11, 1.63), diarrhea-caused GI among children aged 6 and under (RR = 1.38, 95 % CI = 1.13, 1.69), and other-caused GI among children age 6 and under (RR = 1.46; 95 % CI = 1.12, 1.80). The findings underscore the need for public health interventions and adaptation strategies to address climate change-related health outcomes such as GI illness associated with extreme precipitation events.

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.

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.

BACKGROUND: The Society of Critical Care Medicine has established guidelines to manage pain, sedation, delirium, immobility, family participation, and sleep disruption in the intensive care unit, a set of interventions known as the intensive care unit liberation (ABCDEF) bundle. Adherence to these guidelines has shown positive results.
OBJECTIVE: In the intensive care units of a level I trauma academic teaching hospital in central Texas, the rate of bedside nursing staff adherence to the ABCDEF bundle was only 67.1% in January 2022. The aim of this quality improvement project was to improve adherence to the bundle.
METHODS: Knowledge gaps were found to be the driver of the low adherence rate. Two primary needs were identified: (1) education on the elements of the ABCDEF bundle and (2) increased awareness and recognition of incomplete and incorrect documentation. Interventions included focused education on intensive care unit liberation.
RESULTS: From February to June 2022, overall adherence to the ABCDEF bundle increased from 67.1% to 95.3%, ventilator use decreased by approximately 10%, and restraint use dropped by about 9%. The incidence of delirium increased, but this increase was due to incorrect patient assessment before the interventions.
CONCLUSIONS: The results of this project are consistent with literature demonstrating that a multifaceted approach to improving ABCDEF bundle adherence can produce sustainable improvement in patient outcomes. This report may help other organizations facing similar challenges improve adherence to the bundle in a postpandemic environment.

The University of Texas at El Paso (UTEP), a Hispanic Serving and Carnegie R1 institution, serves as a pathway for socioeconomically diverse Hispanic/Latino (H/L) health profession students via equal-access strategies. The Center for Institutional Evaluation, Research, and Planning data illustrates UTEP\'s success in graduating H/L health professionals (i.e., allied health, nursing, pharmacy, and psychology) students between 2014 and 2023. Nearly 90% of these graduates are employed in Texas one year after graduation, and 85% remain employed after 10 years. (Am J Public Health. 2024;114(S6):S472-S477. https://doi.org/10.2105/AJPH.2024.307655) [Formula: see text].