Publications by authors named "Sargent L"

Introduction: The Virginia Memory Project (VMP) is a statewide epidemiological registry for Alzheimer's disease and related disorders (ADRD) and other neurodegenerative conditions. It aims to support dementia research, policy, and care by leveraging the Centers for Disease Control (CDC) Healthy Brain Initiative (HBI) Roadmap.

Methods: To capture comprehensive data, the VMP integrates self-enrollment and automatic enrollment using Virginia's All-Payer Claims Database (APCD).

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Introduction: Little is known regarding the relationship between anticholinergic medications and frailty in dementia with Lewy bodies (DLB).

Methods: Anticholinergic Cognitive Burden Scale (ACB) and Claims-based Frailty Index scores were calculated for 12 months prior to the dementia diagnosis using electronic medical record and claims data. Logistic regression was used to estimate the association between ACB and odds of frailty.

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Article Synopsis
  • - The study investigated the relationship between rest-activity rhythms (RAR) and frailty in older adults, analyzing data from 2,531 participants aged 60 and above, while also considering differences by sex.
  • - Results indicated that frail and pre-frail individuals showed poorer RAR metrics, such as lower relative amplitude and higher variability, particularly highlighting a stronger association in females compared to males.
  • - The findings suggest that diminished RAR strength is linked to increased frailty, especially in women, indicating that monitoring RAR could be useful for assessing frailty, but more research is needed to explore this connection over time.
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Article Synopsis
  • - The paper explores using Large Language Models (LLMs) to streamline data wrangling and automate tasks in data discovery and harmonization, crucial for making biomedical data AI-ready by developing Common Data Elements (CDEs).
  • - A human-in-the-loop approach was utilized to ensure the accuracy of generated CDEs from various studies and databases, achieving a high accuracy rate where 94.0% of fields required no manual changes, with an interoperability mapping rate of 32.4%.
  • - The resulting CDEs are designed to improve dataset compatibility by measuring how well different data sources align with these standards, ultimately enhancing the efficiency and scalability of biomedical research efforts.
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The lack of diversity in genomic studies is a disparity that influences our understanding of human genomic variation and threatens equity in the benefits of precision medicine. Given our current genomic research with Black older adults, we conducted a qualitative study to elucidate participants' knowledge, attitudes, and beliefs about genomic research and research participation and what factors contribute to their willingness to participate and to gain insights into barriers that researchers may have in recruiting Black Americans. We conducted semistructured interviews (N=16) with previous genomic research participants, and an inductive thematic approach was used to code and interpret the data.

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In the lung, carcinogenesis is a multi-stage process that includes initiation by a genotoxic agent, promotion that expands the population of cells with damaged DNA to form a tumor, and progression from benign to malignant neoplasms. We have previously shown that Mitsui-7, a long and rigid multi-walled carbon nanotube (MWCNT), promotes pulmonary carcinogenesis in a mouse model. To investigate the potential exposure threshold and dose-response for tumor promotion by this MWCNT, 3-methylcholanthrene (MC) initiated (10 μg/g, i.

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Background: Care plans documented by nurses in electronic health records (EHR) are a rich source of data to generate knowledge and measure the impact of nursing care. Unfortunately, there is a lack of integration of these data in clinical data research networks (CDRN) data trusts, due in large part to nursing care being documented with local vocabulary, resulting in non-standardized data. The absence of high-quality nursing care plan data in data trusts limits the investigation of interdisciplinary care aimed at improving patient outcomes.

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Aging adults experience increased health vulnerability and compromised abilities to cope with stressors, which are the clinical manifestations of frailty. Frailty is complex, and efforts to identify biomarkers to detect frailty and pre-frailty in the clinical setting are rarely reproduced across cohorts. We developed a predictive model incorporating biological and clinical frailty measures to identify robust biomarkers across data sets.

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Background: A growing body of research supports the negative impact of anticholinergic drug burden on physical frailty. However, prior research has been limited to homogeneous white European populations, and few studies have evaluated how anticholinergic burden tools compare in their measurement function and reliability with minority community-dwelling adult populations. This study investigated the association between anticholinergic drug exposure and frailty by conducting a sensitivity analysis using multiple anticholinergic burden tools in a diverse cohort.

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Participation of Black American older adults in community-engaged research remains challenging in health sciences. The objectives of this study were to describe the specific efforts, successes, and challenges in recruiting Black American older adults in research led by the Health and Wellness in Aging Across the Lifespan core, part of the Virginia Commonwealth University Institute for Inclusion, Inquiry, and Innovation (iCubed). We conducted a cross-case analysis of 6 community-engaged research projects using the community-engaged research continuum model.

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Aim: This study investigated the phenomenon of nurse loneliness as a potential contributor to burnout.

Background: Nurse wellbeing is critical for safe and efficient healthcare delivery. However, evidence indicates nurses' wellbeing is at risk.

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Background: At least 25% of autistic children worldwide have the potential to grow up in a bilingual environment. However, many autistic children are being denied opportunities to access additional languages and the cultural, familial and community connections that come with this. There is little evidence identifying the barriers to language learning and access, and no research addressing the perspectives of speech and language therapists (SLTs), who are crucial in supporting parents to make informed choices about bilingualism with their child.

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Article Synopsis
  • Neurodegenerative diseases (NDDs) often share similar symptoms and genetic risk factors, indicating a possible interconnectedness among them.
  • This study clusters patients with five major NDDs using genetic data, revealing significant overlaps in genetic causes and supporting the idea of neurodegeneration as a spectrum.
  • The findings suggest that some patients lack common genetic risk factors, hinting at other influences like environmental factors, and emphasize the need for further research to understand how these variants affect disease development and treatment.
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Data discovery, the ability to find datasets relevant to an analysis, increases scientific opportunity, improves rigour and accelerates activity. Rapid growth in the depth, breadth, quantity and availability of data provides unprecedented opportunities and challenges for data discovery. A potential tool for increasing the efficiency of data discovery, particularly across multiple datasets is data harmonisation.

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Advances in technologies including omics, apps, imaging, sensors, and big data are increasingly being integrated into research by nurse scientists, but the impact on improving health equity is still unclear. In this article, nursing research faculty from one institution discuss challenges and opportunities experienced when integrating various technologies into their research aimed at promoting health equity. Using exemplars from faculty experiences, a three-pronged approach to keeping patients and communities and the goal of health equity central in research while incorporating advancing technologies is described.

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The clinical manifestations of Parkinson's disease (PD) are characterized by heterogeneity in age at onset, disease duration, rate of progression, and the constellation of motor versus non-motor features. There is an unmet need for the characterization of distinct disease subtypes as well as improved, individualized predictions of the disease course. We used unsupervised and supervised machine learning methods on comprehensive, longitudinal clinical data from the Parkinson's Disease Progression Marker Initiative (n = 294 cases) to identify patient subtypes and to predict disease progression.

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Scoping review. To examine potential underlying mechanisms of cognitive and physical impairment in patients with spinal cord injury and identify current research gaps. A scoping review of the literature was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews to identify primary studies that explored mechanisms of cognitive and/or physical impairment after spinal cord injury.

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The increasing prevalence of Substance Use Disorder (SUD) and opioid use disorder (OUD) is part of a national health crisis and reflects an unfortunate trend among populations of older adults. Opioid Use Disorder and opioid-related mortalities are also rising among older adults following this trend. Compared to younger populations, the effect of SUD and OUD on quality of life (QOL) in older adults is complex and poorly understood.

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Introduction: Limited evidence for incident frailty risks associated with prescription analgesics and sedatives in older (≥ 65 years) community-living adults prompted a more comprehensive investigation.

Methods: We used data from older Health and Retirement Study respondents and three frailty models (frailty index, functional domain, frailty phenotype with 8803, 10,470, and 6850 non-frail individuals, respectively) and estimated sub-hazard ratios of regular prescription drug use (co-use, analgesic use, and sedative use), by frailty model. We addressed confounding with covariate adjustment and propensity score matching approaches.

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Attention Restoration Theory proposes that exposure to natural environments helps to restore attention. For sustained attention-the ongoing application of focus to a task, the effect appears to be modest, and the underlying mechanisms of attention restoration remain unclear. Exposure to nature may improve attention performance through many means: modulation of alertness and one's connection to nature were investigated here, in two separate studies.

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Objectives: Due to the exponential growth in the Latinx older adult population, culturally responsive services are needed, especially since most healthcare providers are non-Latinx with limited Spanish or bilingual skills. One place to start is by drawing a formative assessment of the healthcare providers' knowledge and awareness of the healthcare needs of Latinx older adults.

Methods: Focus groups were conducted to explore the healthcare providers' knowledge and awareness of cultural and structural barriers and facilitators to accessing health care services for Latinx older adults.

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Personalized medicine promises individualized disease prediction and treatment. The convergence of machine learning (ML) and available multimodal data is key moving forward. We build upon previous work to deliver multimodal predictions of Parkinson's disease (PD) risk and systematically develop a model using GenoML, an automated ML package, to make improved multi-omic predictions of PD, validated in an external cohort.

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Objectives: Older adults have been disproportionately affected by COVID-19. The primary goal of this study is to determine the socioeconomic effects on psychosocial factors among low-income independent-living older adults, in an urban setting, during the COVID-pandemic.

Methods: Participants were recruited through Virginia Commonwealth University's Richmond Health and Wellness Program.

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Taking a phenomenological approach, this qualitative study describes the lived experiences of low-income older adults during the COVID-19 pandemic. A socio-ecological model was used to organize the five identified themes describing the lived experience: socio-economic context, Black Lives Matter and the politics of race, COVID and polarized views of COVID, interpersonal context (social connections), and individual context (feelings, beliefs, and behaviors). Study findings illustrate the intersectionality of contextual influences on the experience of low-income older adults.

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Background: Individuals with Parkinson's disease (PD) may be especially vulnerable to future cognitive decline from anticholinergic medications.

Objective: To characterize anticholinergic medication burden, determine the co-occurrence of anticholinergic and cholinesterase inhibitors, and to assess the correlations among anticholinergic burden scales in PD outpatients.

Methods: We studied 670 PD outpatients enrolled in a clinic registry between 2012 and 2020.

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