At-risk Populations Research Articles

Cultural Spanish adaptation, factor structure, and reliability of implementation science instruments for suicide prevention.

Research on the implementation of community gatekeeper training interventions for suicide prevention in Spanish-speaking countries is limited. Gatekeepers identify warning signs of suicidal behavior in at-risk population and refer them to specialized mental health care. To identify factors that influence the implementation of evidence-based practices, standardized measures are needed in Spanish. We culturally adapted and evaluated the factor structure and reliability of two measures for use in the Mexican population: the final version of Acceptability, Appropriateness, and Feasibility of the Intervention (Weiner et al., 2017), and the Organizational Readiness for Implementing Change (ORIC; Shea et al., 2014). Our study consisted of two consecutive phases. The first addressed the cross-cultural adaptation. In the second phase, we administered an online survey to a nonrandom sample of 453 middle school personnel and performed a confirmatory factor analysis (CFA). Participants were 73.95% female, 25.17% male, and 0.88% nonbinary/other and came from the 32 Mexican states. CFA indices for the Mexican Spanish version of the acceptability, appropriateness, and feasibility measure yielded values of comparative fit index (CFI) = 0.96, Tucker-Lewis fit index (TLI) = 0.94, root-mean-square error of approximation (RMSEA) = 0.05, and standardized root-mean-square residual (SRMR) = 0.03. Internal consistency was Ω = 0.95. CFA indices of the Mexican Spanish version of the ORIC were CFI = 0.95, TLI = 0.93, RMSEA = 0.08, and SRMR = 0.03, and internal consistency was Ω = 0.94. We conclude that both instruments show preliminary psychometric properties that support their validity and reliability in the Mexican Spanish-speaking context. These findings promise to drive research on the implementation of gatekeeper interventions and other evidence-based practices in Spanish-speaking school settings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effectiveness of HIV prevention interventions targeting long-distance truck drivers: protocol for a systematic review and meta-analysis of global evidence

IntroductionGlobally, long-distance truck drivers’ (LDTDs) risk of exposure to HIV infections is higher compared with other populations in transit. Thus, several HIV prevention interventions have been implemented, though to a...

Artificial Intelligence Applied in Early Prediction of Lower Limb Fracture Complications

Background: Artificial intelligence has become a valuable tool for diagnosing and detecting postoperative complications early. Through imaging and biochemical markers, clinicians can anticipate the clinical progression of patients and the risk of long-term complications that could impact the quality of life or even be life-threatening. In this context, artificial intelligence is crucial for identifying early signs of complications and enabling clinicians to take preventive measures before problems worsen. Materials and methods: This observational study analyzed medical charts from the electronic archive of the Clinical Emergency Hospital in Galați, Romania, covering a four-year period from 2018 to 2022. A neural network model was developed to analyze various socio-demographic and paraclinical data. Key features included patient demographics, laboratory investigations, and clinical outcomes. Statistical analyses were performed to identify significant risk factors associated with deep venous thrombosis (DVT). Results: The analysis revealed a higher prevalence of female patients (60.78%) compared to male patients, indicating a potential gender-related risk factor for DVT. The incidence of DVT was highest among patients aged 71 to 90 years, affecting 56.86% of individuals in this age group, suggesting that advanced age significantly contributes to the risk of developing DVT. Additionally, among the DVT patients, 15.69% had a body mass index (BMI) greater than 30, categorizing them as obese, which is known to increase the risk of thrombotic events. Furthermore, this study highlighted that the highest frequency of DVT was associated with femur fractures, occurring in 52% of patients with this type of injury. The neural network analysis indicated that elevated levels of direct bilirubin (≥1.5 mg/dL) and prothrombin activity (≤60%) were strong predictors of fracture-related complications, with sensitivity and specificity rates of 78% and 82%, respectively. These findings underscore the importance of monitoring these laboratory markers in at-risk populations for early intervention. Conclusions: This study identified critical risk factors for developing DVT, including advanced age, high BMI, and femur fractures, which necessitate longer recovery periods. Additionally, the findings indicate that elevated direct bilirubin and prothrombin activity play a significant role in predicting DVT development. These results suggest that AI can effectively enhance the anticipation of clinical evolution in patients, aiding in early intervention and management strategies.

Abstract 4137058: Clinical Characteristics and Outcomes of South Asians Presenting with Acute Coronary Syndrome

Background: Patients of South Asian descent have a higher incidence of atherosclerotic cardiovascular disease and are affected by clinically significant coronary artery disease at an earlier age when compared to the general population. As a result, they have been shown to have a higher rate of cardiovascular events. This at-risk population has not been well studied as it pertains to acute coronary syndrome. Methods: Out of 1610 patients who presented to one of two tertiary care centers between 2021-2022 with a diagnosis of acute coronary syndrome and underwent coronary angiography, 240 patients were identified as being South Asian and were included in the study. 480 non-South Asian patients were randomly selected as controls. A retrospective analysis was conducted to study the demographics, risk factors, clinical presentation, diagnostic features, and outcomes of the two groups. Results: South Asian patients who were diagnosed with acute coronary syndrome and underwent coronary angiography were significantly younger than non-South Asian patients (61 vs 65 years, p < 0.001). Though they were less likely to be smokers, they were significantly more likely to have other known risk factors including hypertension, dyslipidemia, and a history of prior myocardial infarction (p < 0.001). South Asians had mean lower HDL (p = 0.02), higher triglycerides (0.006), and higher Hgb A1C (p < 0.001). Surprisingly, rates of multivessel disease (defined as stenosis of 50% or greater in two or three vessels) were similar between the two groups. South Asians were more likely to be referred for CABG after initial coronary angiography most likely due to diffuse disease (p = 0.014). Clinical outcomes including pre-discharge LVEF, and 2-year mortality were similar between the groups. Conclusions: South Asians are a notoriously high-risk group when it comes to early-onset and more severe coronary artery disease. The pathophysiology behind this disproportionate manifestation of cardiovascular disease is not entirely understood, but several efforts to delineate this are ongoing. Our data demonstrate that this is at least in part, due to a higher prevalence of conventional modifiable and nonmodifiable risk factors in South Asian patients.

Abstract 4145826: Atrial Fibrillation Screening During Sinus Rhythm Periods by Interrelated Systems Dynamics Analysis

Background: Previous studies have shown that AF screening in at-risk populations can reduce stroke incidence. However, non-targeted screening approaches often result in high false positive rates, placing an unnecessary burden on the healthcare system. In contrast, artificial intelligence-guided screening has been demonstrated to increase diagnostic yield in large prospective clinical trials. This approach, however, requires recording an ECG and a large-scale dataset for model training. Heart rate variability (HRV) analysis has proven effective in deciphering key heart dynamics. By analyzing HRV as interrelated dynamic systems, it may be possible to facilitate targeted AF screening using wearable devices that measure heart rate. The Koopman operator, used for data-driven modeling of interrelated dynamic systems, has been shown to accurately predict complex phenomena in chaotic systems such as climate forecasting and drug adverse reaction prediction. This is achieved by utilizing common characteristics of the systems for most model parameters, with only a small fraction of the parameters being specific to a certain system. Methods: Long (>10 hour) records from 361 individuals (AFDB, LTAFDB) and healthy individuals' datasets from PhysioNet and THEW were analyzed for inter-beat intervals. The unified dataset was then split into 94 training, 17 validation, and 250 test set patients. Recordings from the training set were used to train both the common and specific parts of the interrelated dynamic systems model for each patient, along with a shared small neural network classifying patients into low and high risk for AF based on the unique (not shared between patients) singular values of the dynamic system model. Patient-specific dynamic system models were then fitted for the validation and test sets to calculate the patient dynamic singular values, which were used to classify patients into low and high risk for AF groups. Results: Atrial fibrillation occurred in 48 of 202 (23%) patients classified as low risk and 35 of 48 (72.9%) patients classified as high risk (odds ratio 8.63, 95% CI 4.23-17.64), yielding 72.9% sensitivity with 76.2% specificity. Conclusion: In this retrospective analysis, classification of the dynamic system model singular values identified patients at high risk for atrial fibrillation from sinus rhythm period.

Climate Justice Strategies Implemented by Public Health Nurses and Their Community Partners.

To describe nurses' and community-based organization representatives' collaborative strategies for advancing climate justice with communities. This study used a descriptive, qualitative research design. Data were gathered from August 2022 to February 2023 with nurses (n = 8) and their community partners (n = 5) in the United States. Community partners were representatives of community-based organizations. Photovoice provided greater context for the thematic analysis of collaborative strategies discussed in semi-structured interviews. Nurse participants worked in academic or non-profit settings. Nurse-community partnerships addressed corporate pollution and promoted Indigenous sovereignty and multispecies justice. Themes included investigating disease and health events, identifying at-risk populations and connecting them with resources, providing health teaching and counseling, organizing communities and coalitions, and advocating for policy development and enforcement. Self-care supported resilience and well-being in the long struggle for climate justice. Findings from this study indicated that nurses and their community partners strategize to transition communities away from systems of extraction towards local and regenerative systems that support resilience. Nurses and their community partners recognized the importance of applying an expansive understanding of climate justice, including intersections of pollution and multispecies justice, to promoting planetary health. Findings from this study support nurse-community collaboration in policy work to advance planetary health. This study also supports nurses' collective action with their community partners to address the effects of white supremacy and colonization. Future research is needed to evaluate the outcomes of nurse-community partnerships for planetary health. Nurses have called for action on climate justice; however, evidence of effective nursing strategies that advance climate justice is sparse. This study is the first to describe the collaborative strategies nurses implement with community partners to support the transition from injustice to justice in communities most burdened by climate change and industrial pollution.

Social health, activity behaviors, and quality of life among young adult cancer survivors: Protocol for a prospective observational study.

Approximately 85,000 adolescent and young adults (AYAs; age 15-39) are diagnosed with cancer in the United States annually. Experiencing a cancer diagnosis as an AYA can substantially impact social connections and social health. This paper describes the design and protocol of an observational study to prospectively assess social health and its association with physical activity and quality of life among AYAs after a cancer diagnosis. The study uses a longitudinal observational design to prospectively explore the relationships between social health and activity behaviors (physical activity and sedentary time) at four clinically significant timepoints over the course of 12 months among AYAs newly diagnosed with cancer. Patients are recruited at three hospitals and surveyed at each time period. Multiple dimensions of social health are assessed including social support, social roles, loneliness, social anxiety, and social networks. A wrist accelerometer is worn for one week at each assessment period. Change in social network structures will be analyzed using egocentric social network analysis. Structural equation models will be fitted to analyze the relationship between social constructs and physical activity. Findings from this study will address gaps in our understanding of the impact of a cancer diagnosis on multiple dimensions of social health for AYAs and the potential role social factors play in physical activity and quality of life. Understanding these processes will inform age-tailored interventions to improve health and quality of life outcomes for this at-risk population.

Multidrug Resistant Pseudomonas aeruginosa in Clinical Settings: A Review of Resistance Mechanisms and Treatment Strategies

Pseudomonas aeruginosa is causing increasing concern among clinicians due to its high mortality and resistance rates. This bacterium is responsible for various infections, especially in hospital settings, affecting some of the most vulnerable patients. Pseudomonas aeruginosa has developed resistance through multiple mechanisms, making treatment challenging. Diagnostic techniques are evolving, with rapid testing systems providing results within 4–6 h. New antimicrobial agents are continuously being developed, offering potential solutions to these complex clinical decisions. This article provides a review of the epidemiology, at-risk populations, resistance mechanisms, and diagnostic and treatment options for Pseudomonas aeruginosa.

Impact of Mobile Health Interventions on HIV Testing Rates among At-Risk Youths: A Review

HIV remains a significant global public health challenge, particularly among at-risk youths aged 15–24, who accounted for over 30% of new infections in 2022. Barriers such as stigma, socioeconomic disparities, and limited access to healthcare contribute to low HIV testing rates within this demographic. Mobile health (mHealth) interventions, which leverage the widespread use of mobile devices, offer innovative solutions to address these barriers by providing confidential, accessible platforms for HIV testing and care. This review explored the impact of various mHealth interventions, such as SMS-based reminders, mobile apps, and telehealth platforms, on HIV testing rates among at-risk youths in different regions. Several studies demonstrate significant increases in testing rates, with mHealth tools reducing barriers related to confidentiality, stigma, and geographical access. However, challenges remain, including digital access disparities, privacy concerns, and the sustainability of interventions. A comprehensive literature review of studies on mHealth interventions targeting at-risk youth populations were utilized in compiling this educating paper. Future research should focus on refining mHealth strategies, incorporating emerging technologies like AI, and ensuring interventions are tailored to specific cultural and geographical contexts. mHealth has the potential to play a crucial role in combating the HIV epidemic by empowering at-risk youths to access testing and care. Keywords: Mobile health (mHealth), HIV testing, At-risk youths, Digital health interventions. HIV prevention.

Clinical applications of immunoglobulin G against different individual Aspergillus species for the diagnosis of chronic pulmonary aspergillosis among at-risk populations

ABSTRACT Aspergillus fumigatus-specific IgG is often used as a diagnostic test for chronic pulmonary aspergillosis (CPA), but few studies have evaluated the performance and serology of IgGs from species other than A. fumigatus. In this study, we evaluated the serology and performance of different Aspergillus species-specific IgG antibodies in patients with CPA and at-risk populations and whether different Aspergillus species-specific IgGs could be of clinical utility and aid in the diagnosis of CPA caused by all Aspergillus species. A total of 187 participants were included between 2020 and 2022 (12 with CPA, 75 with old tuberculosis [TB], 45 with active TB and 55 with bronchiectasis). We measured the serum Aspergillus fumigatus, flavus, terreus, niger-specific, and mixed Aspergillus IgG levels (Phadia ImmunoCap). The correlation was the strongest between A. fumigatus and A. niger (Spearman’s rank: 0.940), followed by A. niger and A. flavus (Spearman’s rank: 0.915). A. terreus-specific IgG was less strongly correlated with the other three Aspergillus species-specific IgG (Spearman’s rank: 0.828–0.849). A. flavus (4 of 6, 67%) was the dominant species. Using the at-least-one-positive approach, the highest performance was obtained when A. fumigatus and A. flavus IgGs were used (sensitivity, 0.75; specificity, 0.84). Significant cross-reactivity exists among different Aspergillus-species IgGs although the correlation may be less significant for A. terreus. In addition to the commonly used A. fumigatus IgG test, IgGs specific to local prevalent Aspergillus species may provide additional clinical utility.

Changes in Staging and Management of Non-Small Cell Lung Cancer (NSCLC) Patients Following the Implementation of Low-Dose Chest Computed Tomography (LDCT) Screening at Kaohsiung Medical University Hospital

Background: Low-dose computed tomography (LDCT) has been widely adopted for lung cancer screening due to its proven ability to reduce lung cancer mortality, especially among high-risk populations. Methods: This retrospective study aims to evaluate the impact of LDCT screening on non-small cell lung cancer (NSCLC) staging at Kaohsiung Medical University Hospital (KMUH) from 2011 to 2020, following the introduction of LDCT in 2013. The study examines the correlation between LDCT screening volume and changes in the distribution of NSCLC stages, particularly early-stage (stages 0 and I) and late-stage (stage IV) diagnoses. Additionally, it explores the differences in histopathological subtypes, focusing on adenocarcinoma and squamous cell carcinoma, and assesses the impact of early detection on five-year survival rates. Results: The results show a significant increase in early-stage NSCLC diagnoses, particularly in adenocarcinoma cases, where early-stage diagnoses rose from 10.4% in 2010 to 38.7% in 2019. However, the number of stage IV cases remained stable, indicating that LDCT may not substantially reduce late-stage diagnoses. Pearson’s correlation analysis demonstrated a strong positive correlation between LDCT screening and early-stage NSCLC detection, particularly for adenocarcinoma (p < 0.001), though the early detection of squamous cell carcinoma and small cell carcinoma remained limited. Conclusions: The study concludes that LDCT screening plays a crucial role in improving early NSCLC detection and five-year survival rates. Future research should focus on optimizing screening strategies to capture more at-risk populations and enhance the detection of harder-to-diagnose subtypes like squamous cell carcinoma.

Hands Up Program: Results of a feasibility study of a randomized controlled trial of a bone health exercise and education program for adults aged 50-65 post distal radius fracture.

Distal radius fractures (DRF) that occur from a fall from level ground are considered fragility fractures and may be the first indication that someone has compromised bone mineral density and is at risk of having osteoporosis. Women at about 50 years of age experience a dramatic increase risk of these fractures. Rehabilitation after DRF focuses on restoring range of motion and strength in the wrist, but rarely address future bone health concerns. We developed a 6-week therapist-developed remote full body exercise and osteoporosis/bone-health education program (called The Hands Up Program). This study was designed to evaluate the feasibility of a larger trial examining the effects of a whole-body exercise and education program for people 50-65 after a DRF. Community dwelling individuals between the age of 50-65 with a radiographically confirmed DRF were recruited from the Roth| McFarlane Hand and Upper Limb Center in London, Ontario. Participants were randomized in a 1:1 ratio into either the Hands Up Program which was a twice weekly exercise and education program for 6 weeks, or the control group where they proceeded with usual care. The intervention was delivered online through a website where participants created a unique username and password to access. The primary feasibility outcomes of the study were recruitment rate (74 participants in 1 year), retention rate (75% completion), and intervention adherence rate (60% of completion of the exercise program). Secondary outcomes included strength, range of motion, self-reported outcomes, and bone density. Overall, 74 participants were recruited in 14 months. Retention did not meet the criteria for success, as only 53% of the participants attended their 12-month visit. Adherence was also not met albeit close with 55% completing the exercise program. Twelve participants withdrew from the study, five due to the time commitment, four without explanation, one due to group allocation, one due to COVID and one participant moved. One participant was deemed ineligible after consent. Four of the participants that withdrew were in the intervention group, and four in the control group, five participants withdrew before they were allocated to a group. Feedback from patients indicated potential improvements to the program: lower assessment burden, spacing out the intervention so that the education portion could be delivered during the immobilization phase of recovery, and creating a more individualized program. Adherence and retention were both a challenge, although adherence was close to target. While achieving adherence to exercise in bone health is a known challenge, given the importance of prevention in the at-risk DRF population and the challenges in co-design and delivery during the pandemic, we believe evaluation of a revitalized program is warranted.

Associations between sociodemographic and clinical characteristics and adherence to self-management behaviours among community-dwelling older adults with mild cognitive impairment.

Self-management is vital for individuals with mild cognitive impairment (MCI) to enhance cognitive health and mitigate the risk of dementia. However, maintaining consistent engagement in self-management strategies can be challenging for older adults with MCI. This study aimed to explore the associations between sociodemographic and clinical characteristics and adherence to self-management behaviours among community-dwelling older adults with MCI. A cross-sectional study involving 467 community-dwelling older adults with MCI was conducted from July to November 2022 across Nanjing, Xuzhou, and Lianyungang in Jiangsu Province, China. Data on sociodemographic and clinical characteristics, as well as self-management behaviours for MCI, were collected. Multiple linear and binary logistic regressions were employed to identify factors influencing self-management behaviours. Among the four recommended self-management behaviours for MCI, participants adopted an average of 1.37 ± 1.202 behaviours. Physical exercise (n = 239; 51.2%) was the most prevalent behaviour, followed by modifiable risk factors management (n = 156; 33.4%), cognitive training (n = 144; 30.8%), and cognitive function monitoring (n = 103; 22.1%). Higher education level (B = 0.286, P < 0.001), urban employee medical insurance (B = 0.621, P < 0.001), and non-smoking status (B = 0.389, P = 0.002) positively correlated with aggregate MCI self-management behaviours, while older age (B = -0.295, P < 0.001) had a negative association. Marital status, monthly income, employment status, gender, residence, and family history of cognitive disorders were also found to be associated with specific self-management behaviours for MCI. Enhancing adherence to self-management among community-dwelling older adults with MCI is critical. Sociodemographic and clinical factors should be considered to pinpoint at-risk populations and accordingly tailor support strategies.

Impact Of E-Cigarette/Vape Use And Cytotoxic Damage In Oral Epithelial Cells: A Review

Background: In India, there has been a notable increase in the use of electronic cigarettes despite the government's ban. This study aims to review the cytotoxic &amp; genotoxic damage in vape users. There are existing reports on the use of electronic cigarettes and their potential impact on developing oral squamous cell carcinoma. We aimed to assess the association between e-cigarettes and oral cancers. Additionally, the paper addresses the composition of E-juice and safety considerations of electronic cigarettes compared to conventional cigarette smoking. Conclusion: Regular monitoring using this non-invasive assay could be crucial in risk assessment and implementing preventive strategies in at-risk populations. It's essential that responses are evidence-based and carefully crafted, with robust enforcement by federal and state governments. Policymakers should focus on reducing youth vaping while also providing support for smokers seeking to quit.

Mental health misconceptions among at-risk populations: The case of hotel workers

Mental health misconceptions among at-risk populations: The case of hotel workers

Sun Exposure Behaviors and Knowledge Among the At-Risk Population: Results From an International Survey, the HELIOS Project.

Sun Exposure Behaviors and Knowledge Among the At-Risk Population: Results From an International Survey, the HELIOS Project.

Multidimensional Sleep Health in Surrogate Decision-Makers of Critically Ill Patients.

Supporting the sleep health of surrogate decision-makers of patients in the intensive care unit is a research priority. However, few studies have approached sleep health as a multidimensional construct, instead focusing on 1 or 2 dimensions in isolation. To holistically examine the sleep health (satisfaction, timing, efficiency, duration) of surrogate decision-makers of critically ill patients. This secondary analysis involved surrogate decision-makers of incapacitated intensive care unit patients at a tertiary medical center in northeastern Ohio (n = 19). Sleep-health data were captured by means of a subjective scale (satisfaction) and objectively (timing, efficiency, duration) by means of a wrist-worn accelerometer (Actiwatch Spectrum Plus; Philips Respironics). Upon enrollment, participants completed the satisfaction scale and wore the Actiwatch Spectrum Plus for 3 consecutive days. Descriptive statistics of the study variables were evaluated. A minority (15%) of the sample reported poor sleep satisfaction. Sleep timing variables were comparable to those found in other adult studies. Participants averaged approximately 6 hours of sleep per day with an average sleep efficiency of 83.7%. Despite adequate satisfaction scores, intensive care unit surrogate decision-makers' sleep duration is inadequate and sleep efficiency is suboptimal. Sleep-health interventions may be needed in this at-risk population. Future research should consider the impact of surrogate decision-maker sleep health on their capacity to serve in the surrogate decision-maker role.

Risk factors for abusive head trauma in the pediatric population.

Abusive head trauma (AHT) is the leading cause of death from physical child abuse in children younger than 5 years of age in the United States. The mortality rate among patients with AHT is 25%, and the recurrence rate of child abuse rises to 35% when there is a lack of intervention. Thus, identifying child abuse is crucial yet especially challenging for infants and toddlers as they are preverbal. Current guidelines for child abuse do not sufficiently address the specific needs of a younger population. This study aimed to evaluate clinical factors associated with abuse among such populations. The National Trauma Data Bank was queried from 2017 to 2019 for patients younger than 3 years with acute head trauma. Patients who were suspected of having experienced child abuse (suspected child abuse [SCA] group) were propensity score matched with patients who were not suspected of having experienced child abuse (non-SCA group) based on demographics, comorbidities, and Glasgow Coma Scale (GCS) scores. Paired Student t-test and chi-square tests were used to compare differences in hospital outcomes between the two groups. Multivariable regression analysis was used to determine factors associated with SCA (p < 0.05). The authors identified 10,844 patients in the SCA group and 27,912 in the non-SCA group. Regression analysis results showed that patients in the SCA group had higher rates of prematurity (OR 2.30, p < 0.001), GCS scores < 13 (OR 1.79, p < 0.001), congenital disorders (OR 1.56, p < 0.001), and public insurance use (68.38% vs 52.88% p < 0.001). Black and Hispanic patients were more likely to be in the SCA group (OR 1.56, p < 0.001 and OR 1.35, p < 0.001, respectively). Following propensity score matching, SCA patients had a longer length of hospital stay (3.17 vs 1.34 days, p < 0.001) and higher mortality rate (4.89% vs 3.58%, p < 0.001). Acute head injuries in the SCA group were associated with prematurity, congenital disorder, low GCS score, and public insurance use. As such, the current guidelines should implement clinical history and insurance type to better reflect the at-risk patient population when evaluating infants and toddlers for potential abuse. There could be overidentification of child abuse among Black and Hispanic patients, and further research is warranted.

Inbreeding avoidance and cost in a small, isolated trout population.

The persistence of small populations is influenced by the degree and cost of inbreeding, with the degree of inbreeding depending on whether close-kin mating is passively or actively avoided. Few studies have simultaneously studied these factors. We examined inbreeding in a small, isolated population of westslope cutthroat trout using extensive genetic and demographic data. Passive inbreeding avoidance was low, with predicted lifetime dispersal of approximately 36 and 74 m for females and males, respectively. Additionally, we found limited evidence for active inbreeding avoidance during reproduction. Relatives remained spatially clustered into adulthood, and observed relatedness among mate pairs was greater than expected under random mating by 0.09, suggesting that inbreeding is a concern in this population. Further, we examined sex-specific inbreeding depression throughout the life cycle and provide evidence for inbreeding depression in some fitness components, including family size, juvenile survival and reproductive success. Our results suggest that, in an at-risk trout population, limited passive and active inbreeding avoidance lead to a higher degree of inbreeding than expected under random mating. Observed inbreeding, along with evidence for fitness reduction due to inbreeding depression, could put the population at a heightened risk of decline or extirpation.

Disparities in Genetic Management of Breast and Ovarian Cancer Patients.

Hereditary breast and ovarian cancer syndrome (HBOC) is most often caused by pathogenic variants in the BRCA1 or BRCA2 genes. Guidelines exist for genetic testing in patients at high risk, yet significant disparities in genetic testing and management remain. These disparities result in missed opportunities for cancer prevention and treatment. This review details the multiple layers of disparities in genomic knowledge, testing referral, completion, and posttesting risk reduction for at-risk populations. A comprehensive search of the PubMed database was conducted in September 2023 for studies addressing disparities at all points of HBOC risk assessment and risk reduction. Disparities in genomic knowledge, referral and testing, and in cancer risk reduction exist by race, ethnicity, insurance status, socioeconomic status, age, and care setting in the United States. Many mitigation strategies have been explored with some success. Each component contributes to a "leaky pipe" in BRCA testing and management whereby patients eligible for intervention trickle out of the pipe due to inequities at each step. Implementation of proven strategies aimed at disparity reduction in this setting is essential, as well as additional strategy development. This review provides clinicians with a comprehensive understanding of disparities in the identification and management of individuals at risk for or diagnosed with HBOC and strategies to reduce disparities in their own practice.