Search Results (453)

Background/Objectives: Latinos, particularly those of Mexican ancestry, experience high rates of type 2 diabetes and sleep disturbances, exacerbating adverse health outcomes. This study aimed to examine the prevalence of excessive daytime sleepiness and its associations with diet, cardiometabolic risk factors, and glycemic control in this population. Methods: This cross-sectional study utilized data from the El Banco por Salud biobank, including 1685 participants (aged 52.6 ± 14.5 years, BMI: 32.4 ± 7.0 kg/m²) recruited from Federally Qualified Community Health Centers. Excessive daytime sleepiness was assessed using the Epworth Sleepiness Scale, while dietary information was obtained via the Brief Dietary Assessment Tool for Hispanics. Primary outcomes included cardiometabolic risk factors and glycated hemoglobin (HbA1c) levels. Results: Excessive daytime sleepiness (Epworth Sleepiness Scale > 10) was present in 22.0% of participants and was associated with higher BMI (p < 0.001), larger waist circumference (p = 0.002), poorer diet quality, increased dyslipidemia (p = 0.036), and elevated HbA1c (p = 0.007). Linear regression analyses confirmed that excessive daytime sleepiness was significantly associated with higher HbA1c levels, both in unadjusted (R² = 0.011; p < 0.001) and adjusted for demographic, anthropometric, and socioeconomic factors (R² = 0.107; p = 0.004) models. Conclusions: Excessive daytime sleepiness among Latinos of Mexican ancestry is associated with unhealthy dietary patterns and poor glycemic control, highlighting the need for targeted interventions addressing sleep and dietary habits in this vulnerable population. Full article

This study investigates economic decision-making behaviors among welfare recipients in Miami, Florida, by leveraging well-established experimental protocols: the Guessing Game, the Prudence Measurement Task, the Risk Aversion Task, and the Stag Hunt Game. For this purpose, our study defines financial decisions as the underlying individual preferences that serve as validated proxies for savings behavior, debt management, job-search intensity, and participation in cooperative finance. A central objective is to compare the behavior of welfare recipients to that of undergraduate students, a cohort typically used in experimental economics research. The analysis reveals significant differences between the two groups in strategic thinking and coordination, particularly across ethnic and gender lines. Non-Hispanic/Latino participants in Miami displayed significantly higher average guesses in the Guessing Game compared to their counterparts in Tucson, indicating potential discrepancies in the depth of strategic reasoning. Additionally, female participants in Tucson exhibited higher levels of coordination in the Stag Hunt Game compared to females in Miami, suggesting variance in cooperative behavior between these groups. Despite these findings, regression models demonstrate that location, gender, and ethnicity collectively account for only a small fraction of the observed variance, as evidenced by low R² values and substantial mean squared errors across all games. These results suggest that individual heterogeneity, rather than broad demographic variables, may be more influential in shaping economic decisions. This study underscores the complexity of generalizing findings from traditional student samples to more diverse populations, highlighting the need for further investigation into the socioeconomic factors that drive financial decision-making. Full article

“Racial Injustice, Violence, and Resistance: New Approaches from Multidimensional Perspectives” is the product of a dialogue among three experts, bridging the disciplines of economics, criminology, and sociology and bringing together expertise in racial inequality, urban sociology, international immigration, Latin America, and Latino/a/x studies [...] Full article

Background: Suicidal ideation among adolescents remains a major public health challenge. Exposure to neighborhood violence is associated with increased risk of mental health distress and school-related vulnerabilities. This study investigates the predictors of suicidal ideation among U.S. adolescents who have witnessed neighborhood violence. Methods: Data were drawn from the 2023 Youth Risk Behavior Survey (YRBS), a nationally representative survey of high school students in the United States. A subsample of 3495 adolescents who reported witnessing neighborhood violence was analyzed. Key variables included sociodemographic characteristics, mental health symptoms, perceived school safety, and experiences of victimization. Multivariable logistic regression was used to identify factors associated with suicidal ideation, defined as seriously considering suicide in the past year. Analyses were conducted using Jamovi (version 2.6), with statistical significance set at p < 0.05. Results: The prevalence of suicidal ideation in the sample was 34.2%. Bisexual adolescents had significantly higher odds of suicidal ideation compared to heterosexual peers (OR = 2.34, p < 0.001). Depressive symptoms were the strongest predictor (OR = 7.51, p < 0.001). Both perceived lack of safety at school and differences in ethnic and population backgrounds were significant. Black and Hispanic/Latino adolescents had lower odds compared to White peers. Conclusions: Findings highlight sexual identity, depressive symptoms, school safety concerns, and ethnic and population background differences as key correlates of suicidal ideation. Culturally responsive, trauma-informed interventions are urgently needed for youth exposed to community violence. Full article

The rising incidence of early-onset colorectal cancer (EOCRC), particularly among underrepresented populations, highlights the urgent need for tools that can uncover clinically meaningful, population-specific genomic alterations. The phosphoinositide 3-kinase (PI3K) pathway plays a key role in tumor progression, survival, and therapeutic resistance in colorectal cancer (CRC), yet its impact in EOCRC remains insufficiently explored. To address this gap, we developed AI-HOPE-PI3K, a conversational artificial intelligence platform that integrates harmonized clinical and genomic data for real-time, natural language-based analysis of PI3K pathway alterations. Built on a fine-tuned biomedical LLaMA 3 model, the system automates cohort generation, survival modeling, and mutation frequency comparisons using multi-institutional cBioPortal datasets annotated with clinical variables. AI-HOPE-PI3K replicated known associations and revealed new findings, including worse survival in colon versus rectal tumors harboring PI3K alterations, enrichment of INPP4B mutations in Hispanic/Latino EOCRC patients, and favorable survival outcomes associated with high tumor mutational burden in FOLFIRI-treated patients. The platform also enabled context-specific survival analyses stratified by age, tumor stage, and molecular alterations. These findings support the utility of AI-HOPE-PI3K as a scalable and accessible tool for integrative, pathway-specific analysis, demonstrating its potential to advance precision oncology and reduce disparities in EOCRC through data-driven discovery. Full article

Background/Objectives: Effective diabetes self-management is critical for glycemic management and well-being, yet Latino youth face unique cultural and socioeconomic barriers that are insufficiently explored in the literature. This review mapped existing evidence on diabetes self-management for Latino youth. Methods: Searches were conducted in PubMed, CINAHL, SCOPUS, Web of Science, LILACS, ERIC, and The Cochrane Library, using the gray literature and reference lists, in September 2024, following JBI guidelines. The included studies were qualitative, quantitative, and mixed-methods studies and reviews on diabetes self-management for Latinos aged 0–30 with type 1 or 2 diabetes. Studies including participants over 30 or with gestational diabetes were excluded. Two reviewers independently extracted data using a standardized table and analyzed findings using the Association of Diabetes Care & Education Specialists framework (ADCES7) for self-care behaviors: healthy eating, being active, monitoring, taking medication, problem-solving, reducing risks, and healthy coping. Results: Forty-five studies (forty from the United States) were included from 860 citations. The findings highlighted challenges in adopting diabetes-friendly diets, including cultural preferences, food insecurity, and limited resources. Physical activity improved glycemic control but was hindered by family and school obligations. Continuous glucose monitoring (CGM) enhanced outcomes, though economic barriers limited access. Family-centered education improved medication adherence, while family support strengthened problem-solving. CGMs and insulin pumps reduced complications, and culturally adapted psychological support enhanced emotional well-being and glycemic management. Conclusions: This review underscores persistent disparities in diabetes self-management among Latino youth. While the study designs and settings were heterogeneous, the findings highlight the need for culturally tailored, family-centered interventions that address structural barriers and psychosocial needs to improve care. Full article

Background/Objective: Immune checkpoint inhibitors (ICIs) are highly effective cancer therapies used across a broad spectrum of malignancies. They function by disrupting immune inhibitory pathways, resulting in an amplified immune response against tumors. However, this heightened immune activity can predispose patients to immune-mediated colitis (IMC), which is graded using the Common Terminology Criteria for Adverse Events (CTCAE) and can range from mild diarrhea to severe colitis. Prior studies have shown that fecal stream diversion can modify the gut microbiome and influence the severity of intestinal inflammation. This study investigates the impact of fecal stream diversion on IMC outcomes in cancer patients receiving ICIs. Methods: We conducted a retrospective cohort study of patients treated with ICIs from 2016 to 2023 who had a history of fecal stream diversion. Demographic, oncologic, and toxicity-related data were collected. Patients with active gastrointestinal infections, autoimmune GI diseases, or graft-versus-host disease were excluded. Descriptive statistics and univariate and multivariate logistic regression analyses were performed using SAS version 9.4. Results: A total of 44 patients were included and categorized into two groups based on the timing of bowel stoma creation relative to the IMC event. CTCAE grade for diarrhea was used to assess GI toxicity. While overall CTCAE grade distribution for diarrhea did not differ significantly between groups (p = 0.22), Hispanic ethnicity was significantly associated with a lower CTCAE grade compared to non-Hispanic or Latino individuals (OR [95% CI] = 0.12 [0.02, 0.62], p = 0.011). In contrast, higher CTCAE grades were significantly associated with ileostomy versus colostomy (OR [95% CI] = 3.21 [1.01, 10.18], p = 0.048) and in patients without an ostomy at the time of diarrhea onset compared to those with an ostomy (OR [95% CI] = 8.87 [2.51, 31.31], p = 0.0007). Conclusions: Our findings suggest that the CTCAE diarrhea grade is significantly associated with ethnicity, type of stoma, and presence of ostomy at the time of diarrhea. Limitations include the retrospective study design and small sample size. These results contribute to understanding potential strategies for mitigating the serious gastrointestinal toxicities of ICIs. Full article

Background/Objectives: Screen-related parenting practices (e.g., restriction, coviewing) influence the way children use screen devices. Although children start using screen devices (e.g., televisions [TV], tablets) in the first few years of life, rigorously developed measures of screen-related parenting practices for parents of toddlers do not exist. The objective of this study was to develop culturally and contextually relevant survey measures of screen-related parenting practices for use in Mexican American families with toddlers. Methods: Measures were developed using an exploratory sequential mixed methods (qualitative → quantitative) approach. Mexican American mothers of toddlers (15–26 months of age) participated in semi-structured interviews. Using the interview findings, domains of parenting practices across screen device types were identified, and survey items were developed. Items were administered by phone to 384 Mexican American mothers. Analyses included evaluation of the factor structure and psychometric properties of nine domains of parenting practices and evaluations of correlations between each scale and demographic characteristics. Results: Factor analyses supported a one-factor solution for each parenting practice as follows: Restrict TV Time (8 items), Coview TV (10 items), Behavioral Regulation with TV (12 items), Restrict Mobile Device Time (8 items); Coview Mobile Devices (10 items); Behavioral Regulation with Mobile Devices (16 items), Restrict Screen Content (8 items), Allow Screen Use Around Sleep (6 items), and Allow Screen Use While Eating (6 items). The reliabilities were acceptable (Cronbach’s alphas > 0.80). Hispanic acculturation, maternal age, and child age were correlated with many of the scales of parenting practices. Conclusions: The measures developed in this study offer a way to evaluate the use and impact of screen-related parenting practices in Mexican American families with toddlers. The use of these measures will enable investigators to identify relationships among parenting practices, screen use, and child well-being, which could inform the design of early childhood interventions promoting healthy screen use in this population. Full article

The COVID-19 pandemic caused immense physical disruptions, affecting young adults in the U.S. The Health Belief Model is a social psychological framework that predicts the likelihood of adopting health behavior. The purpose of this research is to investigate COVID-19-related health beliefs and dietary behaviors among undergraduate students during the pandemic. Using convenience sampling, a cross-sectional survey was completed by 304 individuals at a New Jersey state university. Survey data included the frequency of COVID-19 prevention behaviors (e.g., wearing an indoor mask, handwashing), and consumption of fruit and vegetables. The Health Belief Model constructs measured perceived susceptibility to COVID-19, severity, benefits, barriers, and self-efficacy. Frequency distributions, t-tests, and Kruskal–Wallis tests were investigated for racial subgroups (Whites, Blacks, Latinos, and Asians). The mean age of the sample was 21.7, with 27% males, and 46% self-identified as White. Whites adopted fewer COVID-19 prevention behaviors (p < 0.001) than non-Whites. Black students perceived less COVID-19 severity (p < 0.01) and stronger perceived benefits (p < 0.05) than the other subgroups. Latino students perceived greater susceptibility (p < 0.01) and greater barriers than non-Latinos. Asians practiced higher mask wearing frequency (p < 0.05) but less daily fruit intake than their counterparts (p < 0.01). This research highlights the importance of handwashing, wearing indoor masks, and consuming produce among university students. Addressing barriers to health action while promoting the benefits of enacting behaviors to mitigate the risk of COVID-19 is warranted. Full article

Introduction: Racial and ethnic disparities in end-of-life (EOL) cancer care persist, leading to lower rates of advance care planning (ACP), reduced access to palliative care, and poorer patient outcomes for minority populations. While previous research has documented these inequities, less is known about the specific interventions developed to address them, necessitating a comprehensive review of existing strategies aimed at improving EOL care for racial and ethnic populations. The objective of this scoping review is to examine the extent and characteristics of interventions and their outcomes designed to address racial and ethnic disparities in EOL cancer care in the United States. Methods: A comprehensive search of EOL cancer care interventions for minority populations was conducted in Ovid MEDLINE, CINAHL with Full Text (EBSCOhost), and Scopus (Elsevier) in September 2024. Two independent reviewers screened titles, abstracts, and full texts following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines, with inclusion limited to studies conducted in the US and published in English. Results: Of 3104 screened studies, 10 met the inclusion criteria. Participants enrolled were only from Latino (n = 6 studies) or Black (n = 4 studies) populations. We identified four types of interventions, including communication skills for patients, caregivers, researchers, and clinicians (n = 2), education programs for patients (n = 1), navigation and support programs for patients and caregivers (n = 3), and training programs for health workers and community leaders (n = 4). The most effective interventions were those that addressed linguistic barriers, integrated cultural values, and involved trusted community figures. Faith-based models were particularly successful among African American patients, while bilingual navigation and family-centered ACP interventions had the greatest impact in Latino populations. Conclusions: This review highlights (1) the importance of culturally tailored interventions for specific minority populations and (2) the limited number of such interventions, which primarily target only the largest minority groups. Full article

Introduction: Early-onset colorectal cancer (EOCRC) is rising rapidly, particularly among the Hispanic/Latino (H/L) populations, who face disproportionately poor outcomes. The transforming growth factor-beta (TGF-β) signaling pathway plays a critical role in colorectal cancer (CRC) progression by mediating epithelial-to-mesenchymal transition (EMT), immune evasion, and metastasis. However, integrative analyses linking TGF-β alterations to clinical features remain limited—particularly for diverse populations—hindering translational research and the development of precision therapies. To address this gap, we developed AI-HOPE-TGFbeta (Artificial Intelligence agent for High-Optimization and Precision Medicine focused on TGF-β), the first conversational artificial intelligence (AI) agent designed to explore TGF-β dysregulation in CRC by integrating harmonized clinical and genomic data via natural language queries. Methods: AI-HOPE-TGFbeta utilizes a large language model (LLM), Large Language Model Meta AI 3 (LLaMA 3), a natural language-to-code interpreter, and a bioinformatics backend to automate statistical workflows. Tailored for TGF-β pathway analysis, the platform enables real-time cohort stratification and hypothesis testing using harmonized datasets from the cBio Cancer Genomics Portal (cBioPortal). It supports mutation frequency comparisons, odds ratio testing, Kaplan–Meier survival analysis, and subgroup evaluations across race/ethnicity, microsatellite instability (MSI) status, tumor stage, treatment exposure, and age. The platform was validated by replicating findings on the SMAD4, TGFBR2, and BMPR1A mutations in EOCRC. Exploratory queries were conducted to examine novel associations with clinical outcomes in H/L populations. Results: AI-HOPE-TGFbeta successfully recapitulated established associations, including worse survival in SMAD4-mutant EOCRC patients treated with FOLFOX (fluorouracil, leucovorin and oxaliplatin) (p = 0.0001) and better outcomes in early-stage TGFBR2-mutated CRC patients (p = 0.00001). It revealed potential population-specific enrichment of BMPR1A mutations in H/L patients (OR = 2.63; p = 0.052) and uncovered MSI-specific survival benefits among SMAD4-mutated patients (p = 0.00001). Exploratory analysis showed better outcomes in SMAD2-mutant primary tumors vs. metastatic cases (p = 0.0010) and confirmed the feasibility of disaggregated ethnicity-based queries for TGFBR1 mutations, despite small sample sizes. These findings underscore the platform’s capacity to detect both known and emerging clinical–genomic patterns in CRC. Conclusions: AI-HOPE-TGFbeta introduces a new paradigm in cancer bioinformatics by enabling natural language-driven, real-time integration of genomic and clinical data specific to TGF-β pathway alterations in CRC. The platform democratizes complex analyses, supports disparity-focused investigation, and reveals clinically actionable insights in underserved populations, such as H/L EOCRC patients. As a first-of-its-kind system studying TGF-β, AI-HOPE-TGFbeta holds strong promise for advancing equitable precision oncology and accelerating translational discovery in the CRC TGF-β pathway. Full article

Background/Objectives: In 2022, 2.2 million adolescents were diagnosed with substance use disorders, including 265,000 with opioid use disorder. The National Survey on Drug Use and Health revealed that 130,000 adolescents misused prescription pain medications, often obtaining them from friends or relatives. This age group perceives weekly heroin use as less risky than those younger or older. Methods: A questionnaire was developed for 7th to 12th graders in a rural Texas school district as part of a fentanyl awareness curriculum. The questionnaire included Likert scale, multiple choice, and yes/no questions. The participants were categorized into younger (grades 7th and 8th) and older students (grades 9th through 12th), and associations were explored between demographic characteristics, responses, and grade groups using chi-square tests. To assess confidence, behavior, and the impact of education, we used chi-square and Fisher’s exact tests. Results: The participants (n = 94; 85.11%) identified as Hispanic or Latino, with a smaller percentage identifying as White or more than one race. An association was found between feeling more in control of actions related to substances and fentanyl (p-value = 0.04) after receiving education. No association was found between education and confidence in identifying fentanyl. Conclusions: This study aligns with a surge in fentanyl-related overdose deaths in a high-intensity drug trafficking region. Recent fentanyl overdoses among school-age children prompted legislative changes in 2023, making this study valuable for understanding the epidemic within the geographical context. These results suggest that school-based education may play a role in strengthening adolescents’ behavioral intentions to fentanyl exposure, though additional efforts are needed to improve risk identification. Full article

This paper investigates the growing political alignment of Latino Evangelicals with the Republican Party, particularly their support for Donald Trump in the 2020 election. Historically, Latino political behavior has been studied with an assumption of religious homogeneity, largely focusing on the Catholic majority. However, the rise of the Latino Evangelical population has coincided with increasing Latino support for the GOP. Former President Obama attributed this shift in support to the growing Evangelical demographic. Building on Chaturvedi’s (2014) work, which found that Evangelical Latinos’ conservative views on issues like same-sex marriage vary by age, this study tests Obama’s assertion using data from the 2020 USC Dornsife Presidential Poll. Logistic regressions show that older Latino Evangelicals were significantly more likely to support Trump, driven by their desire to elect officials who align with their Evangelical policy preferences. The findings explain that the political behavior of older Latino Evangelicals is more strongly related to religious values compared to their younger counterparts. These results highlight the importance of considering religious diversity within Latino politics, pointing to religious identity as a key factor in shaping Latino political behavior and emphasizing the need for further exploration of religious variation in Latino voting patterns. Full article

In an earlier essay, I drew on Sara Ahmed’s formulation of a “homing device” to describe U.S. Latine uses of biblical texts and traditions, as well as “scriptures” more broadly conceived. In this essay, I hope to complicate that idea a little further. I draw on ethnographic methods and share two stories of two people who came from the same generation and lived in geographic proximity in the suburbs of Los Angeles, California, but who represent important differences in Latine contexts. These two case studies, when read comparatively, demonstrate how the Bible serves as a homing device, as an object around which both people look for and make sense of ideas of “home”, but the understandings of home and the ways they relate to biblical texts and traditions remain quite distinct. Full article

Background. The coevolution of nuclear and mitochondrial genomes has guaranteed mitochondrial function for millions of years. The introduction of European (EUR) and African (AFR) genomes into the Ameridian continent during the Columbus exchange in Latin America created an opportunity to naturally test different combinations of nuclear and mitochondrial genomes. However, the impact of potential “mitonuclear discordance” (MND, differences in ancestries) has not been evaluated in Latin American admixed individuals (AMR) affected with developmental disorders, even though MND alters mitochondrial function and reduces viability in other organisms. Methods. To characterize MND in healthy and affected AMR individuals, we used AMR genotype data from the 1000 Genomes Project (n = 385), two cohorts of 22q.11 deletion syndrome patients 22qDS-ARG (n = 26) and 22qDS-CHL (n = 58), and a cohort of patients with multiple congenital anomalies and/or neurodevelopmental disorders (DECIPHERD, n = 170). Based on their importance to mitochondrial function, genes were divided into all mitonuclear genes (n = 1035), high-mt (n = 167), low-mt (n = 793), or OXPHOS (n = 169). We calculated local ancestry using FLARE and estimated MND as the fraction of nuclear mitochondrial genes ancestry not matching the mtDNA ancestry and ∆MND as (MNDoffspring—MNDmother)/MNDmother. Results. Generally, MND showed distinctive population and haplogroup distributions (ANOVA p < 0.05), with haplogroup D showing the lowest MND of 0.49 ± 0.17 (mean ± s.d.). MND was significantly lower in 22qDS-ARG patients at 0.43 ± 0.24 and DECIPHERD patients at 0.56 ± 0.12 compared to healthy individuals at 0.60 ± 0.09 (ANOVA p < 0.05). OXPHOS and high-mt showed the same trend, but with greater differences between healthy and affected individuals. Conclusions. MND seems to inform population history and constraint among affected individuals, especially for OXPHOS and high-mt genes. Full article