Digital Commons Network^™

Posttraumatic Stress Disorder And Type 2 Diabetes Outcomes In Veterans, Jeffrey F Scherrer, Joanne Salas, Wenjin Wang, Kenneth E Freedland, Patrick J Lustman, Paula P Schnurr, Beth E Cohen, Allan S Jaffe, Matthew J Friedman

2020-Current year OA Pubs

IMPORTANCE: Posttraumatic stress disorder (PTSD) symptom reduction is linked with lower risk of incident type 2 diabetes (T2D), but little is known about the association between PTSD and comorbid T2D outcomes. Whether PTSD is a modifiable risk factor for adverse T2D outcomes is unknown.

OBJECTIVE: To determine whether patients with PTSD who improved and no longer met diagnostic criteria for PTSD had a lower risk of adverse T2D outcomes compared with patients with persistent PTSD.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used deidentified data from US Veterans Health Administration (VHA) historical medical records (from October 1, 2011, to …

Community-Based Participatory Research And System Dynamics Modeling For Improving Retention In Hypertension Care, Jiancheng Ye, Ikechukwu A Orji, Michelle A Birkett, Lisa R Hirschhorn, Theresa L Walunas, Justin D Smith, Namratha R Kandula, Gabriel L Shedul, Mark D Huffman, Dike B Ojji

2020-Current year OA Pubs

IMPORTANCE: The high prevalence of hypertension calls for broad, multisector responses that foster prevention and care services, with the goal of leveraging high-quality treatment as a means of reducing hypertension incidence. Health care system improvements require stakeholder input from across the care continuum to identify gaps and inform interventions that improve hypertension care service, delivery, and retention; system dynamics modeling offers a participatory research approach through which stakeholders learn about system complexity and ways to model sustainable system-level improvements.

OBJECTIVE: To assess the association of simulated interventions with hypertension care retention rates in the Nigerian primary health care system using …

Traumatic Brain Injury, Seizures, And Cognitive Impairment Among Older Adults, Yiqi Zhu, Jonathan Williams, Kebede Beyene, Jean-Francois Trani, Ganesh M Babulal

2020-Current year OA Pubs

IMPORTANCE: Traumatic brain injury (TBI), seizures, and dementia increase with age. There is a gap in understanding the associations of TBI, seizures, and medications such as antiseizure and antipsychotics with the progression of cognitive impairment across racial and ethnic groups.

OBJECTIVE: To investigate the association of TBI and seizures with the risk of cognitive impairment among cognitively normal older adults and the role of medications in moderating the association.

DESIGN, SETTING, AND PARTICIPANTS: This multicenter cohort study was a secondary analysis of the Uniform Data Set collected between June 1, 2005, and June 30, 2020, from the National Alzheimer's Coordination …

Translational Approaches To The Neurobiological Study Of Conditional Discrimination And Inhibition: Implications For Psychiatric Disease, Susan Sangha, Jacklynn M. Fitzgerald

Psychology Faculty Research and Publications

There is a growing number of studies investigating discriminatory fear conditioning and conditioned inhibition of fear to assess safety learning, in addition to extinction of cued fear. Despite all of these paradigms resulting in a reduction in fear expression, there are nuanced differences among them, which could be mediated through distinct behavioral and neural mechanisms. These differences could impact how we approach potential treatment options in clinical disorders with dysregulated fear responses. The objective of this review is to give an overview of the conditional discrimination and inhibition findings reported in both animal models and human neuropsychiatric disorders. Both behavioral …

Expanding A Behavioral View On Digital Health Access: Drivers And Strategies To Promote Equity, Maura M Kepper, Lauren A Fowler, Isabelle S Kusters, Jean W Davis, Manal Baqer, Sara Sagui-Henson, Yunyu Xiao, Adati Tarfa, Jean C Yi, Bryan Gibson, Kristin E Heron, Nicole M Alberts, Marissa Burgermaster, Veronica Ps Njie-Carr, Lisa M Klesges

2020-Current year OA Pubs

The potential and threat of digital tools to achieve health equity has been highlighted for over a decade, but the success of achieving equitable access to health technologies remains challenging. Our paper addresses renewed concerns regarding equity in digital health access that were deepened during the COVID-19 pandemic. Our viewpoint is that (1) digital health tools have the potential to improve health equity if equitable access is achieved, and (2) improving access and equity in digital health can be strengthened by considering behavioral science-based strategies embedded in all phases of tool development. Using behavioral, equity, and access frameworks allowed for …

A Mixed Methods Exploration Of Young Women's Agency And Mental Health During Covid-19 In Low-Income Communities In Mumbai, India, Marie A Brault, Melissa F Peskin, Anastasia N Jones, Amrita Saikia, Rinchen O Bhutia, Sai Sammitha Cheruvu, Vaishali M Jagtap, Rajendra Singh, Poornima Nair, Rajesh Vedanthan, Sten H Vermund, Shubhada Maitra

Faculty, Staff and Student Publications

Introduction: Adolescent girls and young women (AGYW) in India face additional health inequities compared to their male peers, as gender norms constrain agency for prevention and self-care. The onset of the COVID-19 pandemic and associated lockdowns deepened health inequities and often worsened mental health, but the impacts on agency are unclear. This exploratory sequential mixed methods paper examined mental health and COVID-19 elements that exacerbated or mitigated adverse consequences for AGYW in low-income communities in Mumbai.

Methods: We conducted semi-structured interviews with AGYW (aged 15-25 years; N = 60) and adults (parents, healthcare providers, community-based organization representative; N = 30). …

Novel Pathogenic Variants In Polr3k Cause Polr3-Related Leukodystrophy, Stefanie Perrier, Julia Macintosh, Agata D. Misiaszek, Gabrielle Lambert, Kether Guerrero, Luan T. Tran, Christoph W. Müller, Tomi Pastinen, Gustavo H B Maegawa, Isabelle Thiffault, Geneviève Bernard

Manuscripts, Articles, Book Chapters and Other Papers

POLR3-related hypomyelinating leukodystrophy (POLR3-HLD) is a rare inherited neurological disorder caused by biallelic pathogenic variants in specific genes encoding subunits of RNA polymerase III (Pol III). Here, we report the third patient worldwide with pathogenic variants in POLR3K and clinical features consistent with POLR3-HLD. The female patient presented with mild intellectual and behavioural disturbances in childhood, as well as growth delay, with brain MRI revealing diffuse hypomyelination and a pattern consistent with POLR3-HLD. In adolescence, she manifested minor motor dysfunction. Next-generation sequencing revealed a paternally inherited missense variant in POLR3K (c.322G>T; p.D108Y) and a maternally inherited large deletion, spanning …

Developing A Fair And Interpretable Representation Of The Clock Drawing Test For Mitigating Low Education And Racial Bias., Jiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, Jack Wittmayer, Kia Khezeli, David J. Libon, Catherine C Price, Parisa Rashidi

Rowan-Virtua School of Osteopathic Medicine Departmental Research

The clock drawing test (CDT) is a neuropsychological assessment tool to screen an individual's cognitive ability. In this study, we developed a Fair and Interpretable Representation of Clock drawing test (FaIRClocks) to evaluate and mitigate classification bias against people with less than 8 years of education, while screening their cognitive function using an array of neuropsychological measures. In this study, we represented clock drawings by a priorly published 10-dimensional deep learning feature set trained on publicly available data from the National Health and Aging Trends Study (NHATS). These embeddings were further fine-tuned with clocks from a preoperative cognitive screening program …

Dna Methylation Patterns In Umbilical Cord Blood From Infants Of Methadone Maintained Opioid Dependent Mothers, Oluwatobi Adegboyega, Suhita Gayen Nee' Betal, Pedro Urday, Rachel Huang, Katherine Bodycot, Huda Al-Kouatly, Kolawole Solarin, Joanna Chan, Sankar Addya, Rupsa Boelig, Zubair Aghai

Department of Pediatrics Faculty Papers

Methadone maintenance treatment for opioid dependent mothers is standard of care. Infants of methadone maintained opioid dependent (MMOD) mothers have better outcomes compared to infants of opioid dependent mothers without treatment. However, when compared to non-exposed infants, infants of MMOD mothers are associated with worse outcomes. We conducted a pilot study to examine genome wide differential DNA methylation using cord blood samples from sixteen term and near-term infants of MMOD and opioid naïve mothers, excluding Infants with chorioamnionitis. A total of 152 differentially methylated loci were identified at a difference >  + 2, < - 2 and p-value < 0.05. There were 90 hypermethylated loci (59 annotated genes) and 62 hypomethylated loci (38 annotated genes) observed. The hypermethylated and hypomethylated DNA changes involved multiple genes, pathways and networks that may explain some of the changes seen in infants of MMOD mothers. Top hypermethylated and hypomethylated genes involved areas of cell growth, neurodevelopment, vision and xenobiotic metabolism functions. Our data may explain the role of key pathways and genes relevant to neonatal outcomes seen from methadone exposure in pregnancy. Functional studies on the identified pathways and genes could lead to improved understanding of the mechanisms and identify areas for intervention.

Demystifying The Virtualization Process: A Call For Standard Reporting Of Virtual Modifications To Evidence-Based Psychotherapies, Using The Frame Model, Derrecka M Boykin, Tracey L Smith, Barbara Rakel, Merlyn Rodrigues, Jennie Embree, Ken Woods, Angelic D Chaison, Lilian Dindo

Faculty, Staff and Students Publications

The sudden onset of the coronavirus disease led to a rapid expansion of video telehealth to deliver mental healthcare. Although video telehealth was not a new clinical practice, there was limited guidance on how best to modify evidence-based psychotherapies (EBPs) for virtual delivery (a process also referred to as virtualization). The virtualization process for EBPs remains unclear as newly emerging reports on this topic do not consistently report modification decisions. This commentary calls attention to the need to improve documentation practices to allow a greater understanding of modifications needed to maximize the positive effects of EBPs transported to a virtual …

Social Marketing And The Challenges Of Participant Recruitment, Tom Baranowski, Teresia M O'Connor, John A Jimenez-Garcia, Kavita Radhakrishnan, Elva M Arrendondo, Debbe Thompson

Children’s Nutrition Research Center Staff Publications

Recruitment of research participants often has not obtained a desired sample size, thereby becoming a major problem inhibiting investigators' ability to adequately test the specified hypotheses. Social marketing with its four Ps, originally developed by the business world to sell products and adapted for public health initiatives, is proposed as a dynamic comprehensive conceptual framework to apply marketing principles and practices to enhance participant recruitment. Applying a social marketing approach to research recruitment would require initial investigation to understand the motivations of the target audience in regard to research participation, and continued research throughout the main project to adapt the …

Patients' Perceptions Of Using Technology For Self-Reporting Cancer Medication Safety Events From Home, Katie Gahn, Misun Hwang, Youmin Cho, Heidi Mason, Yang Gong, Yun Jiang

Faculty, Staff and Student Publications

Frequent transitions of care among patients with cancer increase their risks for medication safety events (MSEs). Patients and families need to become "vigilant partners" in MSE self-reporting when transitioning back home. However, limited evidence is available to guide patient and family engagement in preventing and managing MSEs. This study explored patients' perceptions of using technology for MSE self-reporting by interviewing 41 patients with breast, prostate, lung, or colorectal cancer. The findings revealed that patients with cancer perceived technology as convenient and easy to use to address urgent MSE concerns. However, the lack of access to technology and being unconfident in …

A User-Centered Data Visualization Of Atherosclerotic Heart Disease Risk Factors, Sandra Rivas, Tonita Powell-Fontenot, Abayomi Adegunlehin, Yang Gong

Faculty, Staff and Student Publications

High cholesterol levels significantly contribute to the risk of atherosclerotic cardiovascular disease (ACVD), with a notable portion of ischemic heart disease cases linked to elevated cholesterol levels. Effective graphical displays of lipid panel tests and other cardiac risk factors are crucial for quick and accurate data interpretation, enabling early intervention for individuals with hyperlipidemia. Applying design theories such as Gestalt and distributed cognitive theories is essential for creating user-centered graphical data displays in the context of cardiovascular (CV) risk factors. The proposed dashboard informed by these theories is expected to help healthcare providers better address cardiovascular disease (CVD), enhancing diagnosis, …

Sublime And Extended Reality Experiences To Enhance Emotional Wellbeing For Autistic People: A State Of The Art Review And Narrative Synthesis, Chris Bennewith, Johara Bellali, Lance Watkins, Samuel Tromans, Kamaldeep Bhui, Rohit Shankar

More Faculty of Arts, Humanities and Business Research

Background: Sublime is a centuries old concept of emergent experience arising from immense and threatening awareness provoked by overwhelming fear and dread when faced with an incomprehensible situation as is common to autistic people. Extended Reality (XR) technologies have been used since the mid-1990s, in regulating emotions, behaviour and supporting social skill development for autistic people. Aims: To understand utility of XR technologies in creating immersive experiences for autistic people to alleviate anxiety and the relationship to the sublime. Method: A State of the Art literature review and narrative synthesis was conducted. PubMed, CINAHL, EMBASE, Cochrane Library, Scopus, Web of …

Intuitive Data Visualization For Enhanced Patient Comprehension, Samina Asfandiyar, Shelley Hough, Vivian Agugo, Juliana J Brixey, Yang Gong

Faculty, Staff and Student Publications

The pilot study explores how data visualization influences patient comprehension and engagement in understanding hyperlipidemia test results across diverse patient groups. Employing Gestalt theory and the Relational Information Display (RID) framework, intuitive visual tools were developed using Google Sheets, QlikView®, and Microsoft® Excel®. The survey conducted with patients used a Likert scale to evaluate six different line and bar graphs, each presenting the same LDL cholesterol data. The study emphasized the creation of graphs that were easily interpretable. The survey aimed to assess preferences for various data visualization formats. The survey results indicated that patients preferred stacked area charts, while …

Tailored Approach To Participant Recruitment And Retention To Maximize Health Equity In Pediatric Cancer Research., Carolyn R. Bates, Renee M. Gilbert, Kelsey Dean, Keith August, Christie A. Befort, Shallyn Ward, Mary Gibson, Meredith Dreyer

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Lack of diversity in participants throughout the research process limits the generalizability of findings and may contribute to health disparities. There are unique challenges to recruitment of families to pediatric cancer research studies, especially for those from disadvantaged backgrounds. Thus, there is a need to evaluate the most effective recruitment and retention strategies to optimize equitable recruitment of diverse participants.

METHODS: The present study adapted and implemented methods outlined previously in the literature. These previous efforts were developed to address barriers to pediatric research, behavioral health intervention research and research with Black adolescents. Recruitment and retention strategies are described …

A Light-Responsive Neural Circuit Suppresses Feeding, Hailan Liu, Na Qu, Natalia Valdez Gonzalez, Marco A Palma, Huamin Chen, Jiani Xiong, Abhinav Choubey, Yongxiang Li, Xin Li, Meng Yu, Hesong Liu, Longlong Tu, Nan Zhang, Na Yin, Kristine Marie Conde, Mengjie Wang, Jonathan Carter Bean, Junying Han, Nikolas Anthony Scarcelli, Yongjie Yang, Kenji Saito, Huxing Cui, Qingchun Tong, Zheng Sun, Chunmei Wang, Xing Cai, Li Lu, Yang He, Yong Xu

Faculty, Staff and Students Publications

Light plays an essential role in a variety of physiological processes, including vision, mood, and glucose homeostasis. However, the intricate relationship between light and an animal's feeding behavior has remained elusive. Here, we found that light exposure suppresses food intake, whereas darkness amplifies it in male mice. Interestingly, this phenomenon extends its reach to diurnal male Nile grass rats and healthy humans. We further show that lateral habenula (LHb) neurons in mice respond to light exposure, which in turn activates 5-HT neurons in the dorsal Raphe nucleus (DRN). Activation of the LHb→5-HTDRN circuit in mice blunts darkness-induced hyperphagia, while inhibition …

Trust Criteria For Artificial Intelligence In Health: Normative And Epistemic Considerations, Kristin Kostick-Quenet, Benjamin H Lang, Jared Smith, Meghan Hurley, Jennifer Blumenthal-Barby

Center for Medical Ethics and Health Policy Staff Publications

Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool's computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on algorithmic tools, with significant implications for patient safety and health outcomes. It is, thus, important to better understand how variability in trust criteria across stakeholders, settings, tools and use cases may influence approaches to using AI/ML tools in real settings. As …

Accuracy, Thoroughness, And Quality Of Outpatient Primary Care Documentation In The U.S. Department Of Veterans Affairs., Michael Weiner, Mindy E Flanagan, Katie Ernst, Ann H Cottingham, Nicholas A Rattray, Zamal Franks, April W Savoy, Joy L Lee, Richard M Frankel

Health Services and Informatics Research

BACKGROUND: Electronic health records (EHRs) can accelerate documentation and may enhance details of notes, or complicate documentation and introduce errors. Comprehensive assessment of documentation quality requires comparing documentation to what transpires during the clinical encounter itself. We assessed outpatient primary care notes and corresponding recorded encounters to determine accuracy, thoroughness, and several additional key measures of documentation quality.

METHODS: Patients and primary care clinicians across five midwestern primary care clinics of the US Department of Veterans Affairs were recruited into a prospective observational study. Clinical encounters were video-recorded and transcribed verbatim. Using the Physician Documentation Quality Instrument (PDQI-9) added to …

A Randomized Controlled Trial Testing The Effects Of A Social Needs Navigation Intervention On Health Outcomes And Healthcare Utilization Among Medicaid Members With Type 2 Diabetes, Amy Mcqueen, David Von Nordheim, Charlene Caburnay, Linda Li, Cynthia Herrick, Lauren Grimes, Darrell Broussard, Rachel E Smith, Dana Lawson, Yan Yan, Matthew Kreuter

2020-Current year OA Pubs

Health systems are increasingly assessing and addressing social needs with referrals to community resources. The objective of this randomized controlled trial was to randomize adult Medicaid members with type 2 diabetes to receive usual care (

Changing Neighborhood Income Deprivation Over Time, Moving In Childhood, And Adult Risk Of Depression, Clive E Sabel, Carsten Bøcker Pedersen, Sussie Antonsen, Roger T Webb, Henriette Thisted Horsdal

School of Geography, Earth and Environmental Sciences

IMPORTANCE: Complex biological, socioeconomic, and psychological variables combine to cause mental illnesses, with mounting evidence that early-life experiences are associated with adulthood mental health.

OBJECTIVE: To evaluate whether changing neighborhood income deprivation and residential moves during childhood are associated with the risk of receiving a diagnosis of depression in adulthood.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study included the whole population of 1 096 916 people born in Denmark from January 1, 1982, to December 31, 2003, who resided in the country during their first 15 years of life. Individuals were followed up from 15 years of age until either …

Dietary Acculturation Is Associated With Altered Gut Microbiome, Circulating Metabolites, And Cardiovascular Disease Risk In Us Hispanics And Latinos: Results From Hchs/Sol, Yi Wang, Guo-Chong Chen, Zheng Wang, Kai Luo, Yanbo Zhang, Yang Li, Amanda C Mcclain, Marta M Jankowska, Krista M Perreira, Josiemer Mattei, Carmen R Isasi, Maria M Llabre, Bharat Thyagarajan, Martha L Daviglus, Linda Van Horn, David Goldsztajn Farelo, Luis E Maldonado, Steven R Levine, Bing Yu, Eric Boerwinkle, Rob Knight, Robert D Burk, Robert C Kaplan, Qibin Qi, Brandilyn A Peters

Faculty, Staff and Student Publications

Background: Dietary acculturation, or adoption of dominant culture diet by migrant groups, influences human health. We aimed to examine dietary acculturation and its relationships with cardiovascular disease (CVD), gut microbiota, and blood metabolites among US Hispanic and Latino adults.

Methods: In the HCHS/SOL (Hispanic Community Health Study/Study of Latinos), US exposure was defined by years in the United States (50 states and Washington, DC) and US nativity. A dietary acculturation pattern was derived from 14 172 participants with two 24-hour dietary recalls at baseline (2008-2011) using least absolute shrinkage and selection operator regression, with food groups as predictors of US …

Acceptability And Feasibility Of A Community Dementia Stigma Reduction Program In Kenya, Christine W. Musyimi, Levi A. Muyela, David M. Ndetei, Sara Evans-Lacko, Nicolas Farina

Peninsula Medical School

Background: Dementia stigma has adverse effects on people with dementia and their carers. These effects can lead to poor quality of life among other negative impacts. Objective: The aim of this study is to develop and pilot a novel dementia stigma reduction intervention in rural Kenya, leveraging existing Community Health Workers (CHWs) for its delivery. Methods: The pre-post pilot study was conducted, utilizing a parallel mixed-methods design. Ten CHWs were trained to deliver a contextually developed dementia anti-stigma intervention. These CHWs delivered four workshops to 59 members of the general public in Makueni County, with each workshop lasting between 1.5 …

Implementation, Enrollment, And Engagement In An Opt-Out Telehealth Pharmacist-Assisted Tobacco Treatment Program For Patients Seen In Oncology Outpatient Clinics, K. Michael Cummings, Benjamin A. Toll, Vincent Talbot, Avery Roberson, Dianne Wilson, Martha Dunlap, Emily C. Ware, Amanda M. Palmer, Asia A. Bliss, Vincent S. Anokye, Graham Warren

Markey Cancer Center Faculty Publications

OBJECTIVE: To describe the workflow, reach, cost, and self-reported quit rates for an opt-out tobacco treatment program (TTP) for patients seen in 43 oncology outpatient clinics.

METHODS: Between May 25, 2021, and December 31, 2022, adult patients (≥18 years) visiting clinics affiliated with the Medical University of South Carolina Hollings Cancer Center were screened for smoking status. Those currently smoking were referred to a telehealth pharmacy-assisted TTP. An attempt was made to contact referred patients by phone. Patients reached were offered free smoking cessation counseling and a 2-week starter kit of nicotine replacement medication. A random sample of 420 patients …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group

Faculty, Staff and Student Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

Patient-Reported Quality Of Life At Diagnosis In Adolescent And Young Adults With Cancer, Goldy C George, Clark Andersen, Xiaohui Tang, Elizabeth Rodriguez, Midhat Jafry, Maria C Swartz, Sairah Ahmed, Carlos H Barcenas, J Andrew Livingston, Michael E Roth, Michelle A T Hildebrandt

Faculty, Staff and Student Publications

Background: The overall landscape of health-related quality of life (HRQoL) has not been thoroughly investigated in adolescents and young adults (AYAs) with cancer. Data are also lacking on how well HRQoL at the time of cancer diagnosis can prognosticate long-term survival in AYA survivors.

Patients and methods: We included 3,497 survivors of AYA cancer (age 15-39 years at diagnosis) who completed the Short-Form 12 Health Survey (SF-12) HRQoL questionnaire at diagnosis. Physical component summary (PCS) and mental component summary (MCS) scores were generated, with scores < 50 representing poor HRQoL. Differences in HRQoL by patient characteristics and tumor type were investigated using violin plots and t tests/analysis of variance. The effect of HRQoL on overall survival was assessed using Kaplan-Meier plots and Cox proportional hazards models.

Results: Overall mean PCS and MCS scores in this racially/ethnically diverse cohort (64% White, 19% …

Learning To Express Reward Prediction Error-Like Dopaminergic Activity Requires Plastic Representations Of Time, Ian Cone, Claudia Clopath, Harel Z Shouval

Faculty, Staff and Student Publications

The dominant theoretical framework to account for reinforcement learning in the brain is temporal difference learning (TD) learning, whereby certain units signal reward prediction errors (RPE). The TD algorithm has been traditionally mapped onto the dopaminergic system, as firing properties of dopamine neurons can resemble RPEs. However, certain predictions of TD learning are inconsistent with experimental results, and previous implementations of the algorithm have made unscalable assumptions regarding stimulus-specific fixed temporal bases. We propose an alternate framework to describe dopamine signaling in the brain, FLEX (Flexibly Learned Errors in Expected Reward). In FLEX, dopamine release is similar, but not identical …

Community-Based Participatory Obesity Prevention Interventions In Rural Communities: A Scoping Review, Saagar Dhanjani, Haley Allen, Beatriz Varman, Chishinga Callender, Jayna M Dave, Debbe Thompson

Library Staff Publications

Child obesity is a worldwide public health concern. In America, children from rural areas have greater odds of obesity in comparison to those from urban areas. Community-engaged research is important for all communities, particularly under-represented communities. This paper reports the results of a scoping review investigating community-engaged research in obesity prevention programs tested with school-aged children in rural America. A literature search of Medline Ovid was conducted to identify interventions reporting the results of obesity prevention interventions that promoted a healthy diet or physical activity (PA) behaviors to school-age children in rural communities of the United States (US). After title …

Costs And Impact Of Disease In Adults With Sickle Cell Disease: A Pilot Study, Sophie Lanzkron, Nicole Crook, Joanne Wu, Sarah Hussain, Randall G. Curtis, Derek Robertson, Judith R. Baker, Diane Nugent, Amit Soni, Jonathan C. Roberts, Megan M. Ullman, Julie Kanter, Michael B. Nichol

Cardeza Foundation for Hematologic Research

We assessed the feasibility to estimate illness burden in adults with SCD, investigated factors associated with health-related quality of life (HRQoL), and estimated societal burden. We recruited 32 participants and collected data on fatigue, HRQoL, and work productivity and activity impairment via patient survey. Health care utilization was abstracted for the 12 months before enrollment using medical chart review. Mean age was 36.7 years; 84.4% of participants had hemoglobin SS or Sβthal0 disease, and 81.3% reported chronic pain (experiencing pain on ≥3 days per week in the past 6 months). Mean EQ-5D-3L visual analogue scale score was 63.4 and the …

Self-Explainable Graph Neural Network For Alzheimer Disease And Related Dementias Risk Prediction: Algorithm Development And Validation Study, Xinyue Hu, Zenan Sun, Yi Nian, Yichen Wang, Yifang Dang, Fang Li, Jingna Feng, Evan Yu, Cui Tao

Faculty, Staff and Student Publications

Background: Alzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of accurate ADRD risk prediction. While recent advancements in ADRD risk prediction have primarily relied on imaging analysis, not all patients undergo medical imaging before an ADRD diagnosis. Merging machine learning with claims data can reveal additional risk factors and uncover interconnections among diverse medical codes.

Objective: The study aims to use graph neural networks (GNNs) with claim data for ADRD risk prediction. Addressing the lack of human-interpretable reasons behind these predictions, we introduce an innovative, self-explainable method …