Search Results (65)

Background: Teen dating violence (TDV) is a serious public health concern, with sexual and gender minority youth (SGMY) at elevated risk due to minority stress and systemic inequalities. This systematic review examines individual, relational, and contextual risk factors for TDV among SGMY. Methods: A systematic search was conducted in Scopus, Web of Science, and APA PsycInfo on 10 December 2024. Studies published between 2014 and 2024 focusing on teen dating violence (TDV) as an outcome among sexual and gender minority youth (SGMY) aged 13–19 were included. Study selection was independently performed by multiple reviewers using Rayyan. Risk of bias was assessed using the JBI Critical Appraisal Tools. Due to heterogeneity in the study design and measurement tools, a narrative synthesis was conducted. Results: Six risk domains emerged: (1) Demographic/Identity (e.g., gender, orientation, or race); (2) Psychological/Behavioral (e.g., distress or substance use); (3) Violence/Bullying (e.g., cyberbullying or exclusion); (4) Family/Sexual Abuse (e.g., family rejection); (5) Relational/Social (e.g., partner outing); and (6) School/Community (e.g., non-inclusive environments). Bisexual, pansexual, transgender, and racialized youth showed heightened vulnerability. Most studies were conducted in the USA and relied on non-validated TDV measures and cross-sectional designs, limiting comparability and causal inference. Conclusions: SGMY face unique, often overlooked TDV risks. There is a need for intersectional, longitudinal research and inclusive, developmentally appropriate prevention efforts that address both relational and structural factors. This review received no external funding and was not registered. Full article

American citizens are significantly more likely to experience property crime victimization than violent crime victimization. During a staffing crisis, police prioritize limited resources in combating serious crime; however, property crimes remain impactful to the community. Therefore, agencies need to consider innovative ways to control property crime, such as “super-cocooning” strategies that alert residents to recent offenses. These strategies intend to empower the community to implement guardianship and crime prevention measures. For these strategies to be effective, they require public buy-in and support. The present study implements a preregistered information provision survey experiment (N = 2412), similar to the strategy of super-cocooning, to assess whether the public is more likely to support such strategies to combat property crime. Although the sample held overall high support of this strategy, exposure to a super-cocooning door hanger prime produced no significant changes in perceived effectiveness. However, there was observed racial heterogeneity in the treatments: non-White respondents assigned to the treatment relative to White respondents experienced significantly increased support of super-cocooning strategies. Implications for light-footprint crime control strategies, particularly during a staffing crisis, are discussed. Full article

This study analyzes publicly available RNA-seq data to comprehensively include the complex heterogeneity of prostate cancer (PCa) etiology. It combines prostate and prostate cancer (PCa) cell lines, representing primary PCa cells, Gleason scores, ages, and PCa of different racial origins. Additionally, some cell lines were exposed to endocrine-disrupting chemicals (EDCs). The research aims to identify hub genes and transcription factors (TFs) of the prostate carcinogenesis pathway as molecular targets for clinical investigations to elucidate EDC-induced aggressiveness and to develop potential biomarkers for their exposure risk assessments. PCa cells rely on androgen receptor (AR)-mediated signaling to survive, develop, and function. Fifteen various RNA-seq datasets were normalized for distribution, and the significance (p-value < 0.05) threshold of differentially expressed genes (DEGs) was set based on |log2FC| ≥ 2 change. Through integrated bioinformatics, we applied cBioPortal, UCSC-Xena, TIMER2.0, and TRRUST platforms, among others, to associate hub genes and their TFs based on their biologically meaningful roles in aggressive prostate carcinogenesis. Among all RNA-Seq datasets, we found 75 overlapping DEGs, with BUB1B (32%) and CCNB1 (29%) genes exhibiting the highest degree of mutation, amplification, and deletion. EDC-associated CCNB1, BUB1B, and CCNA2 in PCa cells exposed to EDCs were consistently shown to be associated with high Gleason scores (≥4 + 3) and in the >60 age group of patients. Selected TFs (E2F4, MYC, and YBX1) were also significantly associated with DEGs (NCAPG, MKI67, CCNA2, CCNB1, CDK1, CCNB2, AURKA, UBE2C, BUB1B) and influenced the overall survival (p-value < 0.05) of PCa cases. This is one of the first comprehensive studies combining 15 publicly available RNA-seq datasets to demonstrate the association of EDC-associated hub genes and their TFs aligning with the aggressive carcinogenic pathways in the higher age group (>60 years) of patients. The findings highlight the potential of these hub genes as candidates for further studies to develop molecular biomarkers for assessing the EDC-related PCa risk, diagnosing PCa aggressiveness, and identifying therapeutic targets. Full article

Myelodysplastic syndromes (MDS) are a heterogeneous group of hematological malignancies characterized by ineffective hematopoiesis, resulting in cytopenias, morphologic dysplasia in hematopoietic lineages, and a variable risk of progression to acute myeloid leukemia. Significant advances in the understanding of MDS have been made in recent years, largely due to the implementation of molecular tools. Latin America is a highly diverse region, both ethnically and racially, and often faces resource limitations that challenge the broad applicability of recent advances in MDS. In this review, we discuss the key genes implicated in the pathogenesis and classification of MDS, and their relevance to diagnosis, prognosis, and potential therapeutic targets. We also explore the challenges associated with the identification of germline predisposition to MDS in Latin America and discuss the current availability and limitations of molecular diagnostic tools in the region. Full article

Alternative Fuel Vehicle (AFV) rebate programs incentivize the transition from fossil fuels to alternative fuels. Unfortunately, research on the people who are rebate program recipients is more evident than research on the places where the programs distribute rebates. To that end, this study retrospectively analyzes rebates in a statewide, AFV rebate program known as the California Vehicle Rebate Program (CVRP), from 2011 to 2022, to explore the statewide distribution of rebates. The specification of novel multilevel models nests rebates within different levels of analysis to control for programmatic income eligibility changes for rebate recipients as well as infrastructural, racial, transactional, environmental, and demographic differences between census tracts. The different levels of analysis include spatial attributes of the CVRP as well as temporal attributes of the CVRP to control for implicit heterogeneity in the outcomes of interest. Results suggest that the CVRP does not distribute rebates to places where infrastructure is accessible, but the CVRP does distribute rebates to places where pollution is burdensome and people are socioeconomically vulnerable. Full article

This paper presents deep learning models—specifically, Long Short-Term Memory (LSTM) networks and hybrid Convolutional Neural Network–LSTM (CNN-LSTM) with a Copula-Based Random Forest (CBRF) model to estimate Heterogeneous Treatment Effects (HTEs) in survival analysis. The proposed method is designed to capture non-linear relationships and temporal dependencies in clinical and genomic data, with a particular focus on exploring how treatment effects vary by race as a moderating factor. Using breast cancer data from the TCGA-BRCA dataset, which includes both clinical variables and gene expression profiles, we filter the data to focus on two racial groups: Black or African American and White. Dimensionality reduction is performed using Principal Component Analysis (PCA). We compare the CNN-LSTM, LSTM, and CBRF models under three weighting strategies—no weights, Horvitz–Thompson (HT) weights, and Inverse Probability of Treatment Weighting (IPTW)—for predicting treatment effects. Model performance is evaluated using Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Concordance statistic (C-statistic), Average Treatment Effect (ATE), and Conditional Average Treatment Effect (CATE) by race. The CNN-LSTM model consistently outperforms the others, achieving the lowest prediction errors and highest discrimination, particularly under IPTW. Among the weighting strategies, IPTW yields the most substantial improvements in model performance and bias reduction. Importantly, race-specific treatment effects exhibit notable variation: CNN-LSTM estimates a slightly higher CATE for Black individuals under IPTW. Overall, CNN-LSTM with IPTW is recommended for robust and equitable causal inference, especially in racially stratified settings. Full article

Understanding the risk and protective factors associated with Parkinson’s disease (PD) is crucial for improving outcomes for patients, individuals at risk, healthcare providers, and healthcare systems. Studying these factors not only enhances our knowledge of the disease but also aids in developing effective prevention, management, and treatment strategies. This paper reviews the key risk and protective factors associated with PD, with a particular focus on the biological mechanisms underlying these factors. Risk factors include genetic mutations, racial predispositions, and environmental exposures, all of which contribute to an increased likelihood of developing PD or accelerating its progression. Conversely, protective factors, such as regular physical exercise, adherence to a Mediterranean diet, and higher urate levels, have the potential to reduce inflammation and support mitochondrial function, thereby mitigating the risk of disease. However, identifying and validating these factors presents significant challenges. These challenges include the absence of reliable biomarkers, intricate interactions between genetic and environmental components, and clinical heterogeneity observed in patients with PD. These barriers complicate the establishment of clear causal relationships and hinder the development of targeted preventive strategies. To overcome these challenges, we propose several solutions and recommendations. Understanding the mechanisms underlying risk factors may inform future research aimed at developing standardized and more accurate biomarkers for PD, facilitating earlier diagnosis and improved monitoring of disease progression. Additionally, we offer actionable recommendations for PD prevention and management tailored to healthy individuals, patients diagnosed with PD, and healthcare systems. These strategies aim to improve clinical outcomes, enhance the quality of life, and optimize healthcare delivery for PD. Full article

Background/Objectives: Breast cancer is one of the leading causes of female mortality worldwide, but significant racial and socioeconomic disparities persist in disease outcomes. This review aimed to analyze racial and socioeconomic inequalities in mortality and survival from breast cancer, identifying the impact of social risk factors on access to diagnosis and treatment. Methods: A systematic literature review and meta-analysis was performed following PRISMA guidelines. Eighteen studies published between 2014 and 2024 were included, with 11 contributing to the meta-analysis. Random-effect models were used to assess correlations between socioeconomic status, race, and clinical outcomes, including heterogeneity and publication bias analyses. Results: The strongest associations were observed between income, race, and breast cancer survival, with survival significantly worse among Black women and low-income populations (p < 0.001). Income also showed a strong positive correlation with clinical outcomes. In contrast, the overall effect on mortality was not statistically significant (p = 0.290), likely due to high heterogeneity across studies (I² = 100%). These findings suggest that structural disparities in access to healthcare and early detection substantially affect survival rates. Conclusions: Racial and socioeconomic disparities in breast cancer outcomes remain critical public health challenges. Targeted policies to expand early diagnosis and ensure equitable access to effective treatment are essential to reduce these disparities and improve survival in underserved populations. Full article

Background/Objectives: Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with significant racial and ethnic disparities in incidence, molecular characteristics, and patient outcomes. However, genomic studies focusing on Hispanic/Latino (H/L) populations remain scarce, limiting our understanding of ethnicity-specific molecular alterations. This study aims to characterize pathway-specific mutations in TP53, WNT, PI3K, TGF-Beta, and RTK/RAS signaling pathways in GC and compare mutation frequencies between H/L and Non-Hispanic White (NHW) patients. Additionally, we evaluate the impact of these alterations on overall survival using publicly available datasets. Methods: We conducted a bioinformatics analysis using publicly available GC datasets to assess mutation frequencies in TP53, WNT, PI3K, TGF-Beta, and RTK/RAS pathway genes. A total of 800 patients were included in the analysis, comprising 83 H/L patients and 717 NHW patients. Patients were stratified by ethnicity (H/L vs. NHW) to evaluate differences in mutation prevalence. Chi-squared tests were performed to compare mutation rates between groups and Kaplan–Meier survival analysis was used to assess overall survival differences based on pathway alterations among both H/L and NHW patients. Results: Significant differences were observed in the TP53 pathway and related genes when comparing GC in H/L patients to NHW patients. TP53 mutations were less prevalent in H/L patients (9.6% vs. 19%, p = 0.03). Borderline significant differences were noted in the WNT pathway when comparing GC in H/L patients to NHW GC patients, with WNT alterations more frequent in H/L GC (8.4% vs. 4%, p = 0.08) and APC mutations being significantly higher (3.6% vs. 0.8%, p = 0.05). Although alterations in PI3K, TGF-Beta, and RTK/RAS pathways were not statistically significant, borderline significance was observed in genes related to these pathways, including EGFR (p = 0.07), FGFR1 (p = 0.05), FGFR2 (p = 0.05), and PTPN11 (p = 0.05) in the PI3K pathway and SMAD4 (p = 0.08) in the TGF-Beta pathway. Survival analysis revealed no significant differences among H/L patients. However, NHW patients with TP53 and PI3K pathway alterations exhibited significant differences in overall survival, while those without TGF-Beta pathway alterations also showed a significant survival impact. In contrast, WNT pathway alterations were not associated with significant survival differences. These findings suggest that TP53, PI3K, and TGF-Beta pathway disruptions may have distinct prognostic implications in NHW GC patients. Conclusions: This study provides one of the first ethnicity-focused analyses of TP53, WNT, PI3K, TGF-Beta, and RTK/RAS pathway alterations in GC, revealing significant racial/ethnic differences in pathway dysregulation. The findings suggest that TP53 and WNT alterations may play a critical role in GC among H/L patients, while PI3K and TGF-Beta alterations may have greater prognostic significance in NHW patients. These insights emphasize the need for precision medicine approaches that account for genetic heterogeneity and ethnicity-specific pathway alterations to improve cancer care and outcomes for underrepresented populations. Full article

Background: This study presents a comprehensive investigation into the correlation between Rare Diseases and Syndromes (RDS) and the dysphagic disorders manifested during childhood and adulthood in affected patients. Dysphagia is characterized by difficulty or an inability to swallow food of any consistency, as well as saliva or medications, from the oral cavity to the stomach. RDS often present with complex and heterogeneous clinical manifestations, making it challenging to develop standardized diagnostic and therapeutic approaches. Dysphagia can arise from various etiologies, including those related to the central nervous system, inflammatory and neoplastic processes, anatomical or structural disorders, and neuromuscular conditions. These diverse etiologies can result in both structural and functional deficits or neurological impairments that compromise swallowing function. While RDS frequently leads to uncommon conditions, dysphagia remains an underrecognized complication. Objectives: The primary objective of this review is to illuminate the latest knowledge concerning the management of dysphagia in both pediatric and adult populations within the context of RDS, with a particular focus on current therapeutic approaches. To achieve this, the study provides a comprehensive analysis of existing strategies for managing dysphagia in RDS, highlighting recent advancements in therapy while identifying critical gaps in clinical knowledge and practice. By synthesizing available evidence, the review aims to deepen understanding of the unique challenges associated with dysphagia in these conditions and explore innovative interventions to enhance patient care and outcomes. Results: The integration of innovative therapeutic techniques into the speech-language pathology treatment of dysphagia augments traditional strategies, offering updated knowledge that can be applied to prognosis and therapeutic interventions across various ages and racial groups. This review also provides an overview of symptomatology, assessment techniques, and the specific characteristics of dysphagia associated with various genetic and acquired RDS. Full article

In my research, the effects that the racial diversity of firms’ leadership has in deciding the sustainable composition of firms’ alliance portfolios is investigated, defined as the distribution of exploratory, exploitative, and mixed alliances. Grounded in social categorization, information elaboration, and social contact mechanisms, racially homogeneous leadership has a J-shaped relationship with sustainable alliance portfolio composition. Very racially homogeneous or heterogeneous leadership leads firms towards maintaining more exploratory alliances in their portfolio as opposed to moderately diverse leadership, which prefers the safety of exploitative alliances. Further, I explore how racially homogeneous leadership differs from racially heterogeneous leadership in that the former has a higher propensity to maintain more exploratory alliance portfolios compared to the latter. A two-stage analysis on a panel of 128 pharmaceutical and software firms, accompanied by response surface analysis, yields support for our theorizing. This study encourages scholars to further investigate the different weights that social categorization, information elaboration, and social contact exercise on leadership diversity and how they are elemental in firms’ sustainable alliance decision-making. Full article

Introduction: Femoral neck fractures pose significant health risks, particularly in the elderly population, leading to mortality, morbidity, and decreased quality of life. Surgery is the preferred treatment to restore function and alleviate pain, with options including total hip arthroplasty (THA) and hemiarthroplasty (HA). However, clinical guidelines for selecting surgical procedures remain heterogeneous, prompting the need for further investigation into treatment trends and influencing factors. Methods: Data from the NIS database spanning 2016–2019 were analyzed, focusing on patients diagnosed with intracapsular femoral neck fractures and undergoing THA or HA as primary in-hospital surgeries. Advanced statistical analyses using SPSS and MATLAB were conducted to identify trends and factors influencing surgical choices. Results: Comorbidity profiles varied significantly between HA and THA patients, with specific conditions such as Alzheimer’s disease showing higher prevalence in HA patients. Demographic differences included a higher proportion of females and Medicare-insured individuals in the HA group. Racial disparities were observed, with differences in surgical preferences among various ethnic groups. THA adoption gradually increased over the study period, indicating a shift in surgical priorities. Additionally, THA patients tended to be younger on average compared with HA patients. Conclusions: This study highlights evolving trends in surgical management for femoral neck fractures and identifies factors influencing treatment decisions in our cohort. Understanding these trends and disparities is crucial for optimizing patient care and informing future clinical guidelines. Further research should focus on assessing different surgical approaches’ long-term outcomes and cost-effectiveness. Full article

Background: Consistent use of effective contraceptives is directly associated with a lower risk of unintended pregnancies, a significant public health burden in the U.S. The Asian American population is heterogeneous and fast-growing. However, patterns and disparities in contraceptive use among Asian American women, particularly within racial/ethnic subgroups, have been understudied, hindering effective family planning. Objectives: This study aimed to identify the prevalence of contraceptive use and its pattern in Asian American women using the 2015–2016 California Health and Interview Survey (CHIS) data, with a focus on different Asian ethnic subgroups. Study Design: A composite score of acculturation level (0–5) was created based on place of birth, years in the U.S., and language spoken at home. Data on demographics, self-rated health, contraceptive use, and related information were collected from women aged 18–44 years who were at risk of unintended pregnancy. Adjusted multivariable logistic regressions were conducted to examine contraceptive use and patterns in relation to race/ethnicity and other factors. Results: Over 18.20% of the overall sample (pop estimated N = 16,177,759) were Asian Americans, and among them, 24.62% were Chinese, followed by other Asian subgroups (28.83%), Filipina (25.49%), Korean (11.25%), and Vietnamese (9.80%). Overall, Filipina, Korean, and Vietnamese women were less likely to use contraception compared to their non-Hispanic White (NHW) peers, whereas acculturation level was positively associated with contraceptive use. Among different types of contraceptives, Filipina, Korean, and Vietnamese women were less likely to use long-acting reversible contraceptives compared to NHW. Such racial/ethnic disparities were not observed with less or moderately effective contraceptives. Conclusions: Patterns of contraceptive use and associated disparities varied among Asian American subgroups. Providers working with Asian American women should be aware of these racial disparities in contraceptive use and seek ways to address barriers to effective contraception use in this diverse population in order to provide culturally competent family planning services. Full article

The concept of cultural community has been firstly or more obviously embodied in the works of the minority/minoritized literature or writers from marginalized countries and approached from different perspectives, such as small and enduring spiritual bonds, aspiration and an ideal, or self-deconstruction due to heterogeneity, conflict, and difference. However, most researchers explore the cultural community in the works of merely one racial group, such as American Indian, Chinese, Korean, or African. There has been comparatively little research on the construction of a cultural community across races. Focusing on Molefi Kete Asante’s Afrocentricity and Tu Wei-ming’s embodied Confucianism, two cultural movements that fully embody a “new cosmopolitanism” and have the potential to dialog and complement each other, this study compares the views of transcendence of these two philosophies in terms of sense, the ultimate goal, orientation of time, vehicle for realization, and thinking pattern in the hope of the construction of a Sino-African cultural community, which reflects mutual understanding, coexistence, harmony without uniformity, and the contact, conflict, and intermingling of heterogeneous cultures. Full article

Urban green space (UGS) is a fundamental infrastructure in modern urban settings, crucial for regulating the urban climate and improving public health. Accessibility to UGS represents a significant environmental justice issue, influencing the sustainable development of local communities. In this work, we comprehensively evaluated the temporal dynamics of UGS accessibility and the disparity in exposure for all 31 metropolitan divisions in the United States from 2013 to 2022. Our findings indicate that there have been no significant changes in both population-weighted UGS exposure and within-city inequality of UGS exposure for all racial/ethnic groups across the study period. Furthermore, a consistent racial/ethnic disparity in UGS exposure was noted throughout the study period, with the White group tending to have higher-than-average UGS accessibility, and all other racial/ethnic groups, including Asian, Black, Hispanic, Native American, and Pacific Islander, experiencing lower-than-average UGS accessibility. These findings underscore the urgency for urban planning and policy-making strategies to address these inequities, promoting healthy and sustainable urban development. Full article