Objectives/Goals: The current study seeks to evaluate daily health literacy utilization and self-efficacy as predictors of physical activity in adolescents and parents. Methods/Study Population: A 7-day ecological momentary assessment (EMA) study in which adolescent-parent dyads report baseline self-efficacy and health literacy utilization four times daily. Participants will also wear Fitbits continuously. Results/Anticipated Results: We anticipate that higher daily health literacy utilization at the day-level will predict greater physical activity at the day level. Self-efficacy is expected to moderate these effects. Cross-dyad effects are also expected, such that one partner’s higher daily health literacy utilization will predict improved health behaviors in the other. Discussion/Significance of Impact: Findings will clarify how daily fluctuations in health literacy and self-efficacy influence individual and dyadic engagement in physical activity, informing the development of adaptive family-based interventions and precision health literacy promotion. Objectives/Goals:

Objectives/Goals: The study aims to systematically characterize the frequency and distribution of serious and non-serious adverse events by intervention arm and organ system in clinical trials of GLP-1 drugs using the publicly available Aggregate Content of ClinicalTrials.gov (AACT) database. Methods/Study Population: The ClinicalTrials.gov database was searched on 9/11/25 for interventional studies with GLP-1 as treatment (n= 1545). The search was filtered to terminated and completed studies with results (n= 349). Study information, including adverse event reports, was downloaded from Clinical Trials Transformation Initiative (CTTI) AACT database. Data were filtered to phase 2-4 studies (n= 247), followed by drug intervention studies (n= 240). Of these, 167 studies involved the use of a GLP1-1 drug. Adverse events were summarized using study size-weighted mean proportions with chi-squared and Fisher’s exact tests for significance, stratified by intervention arm, seriousness, and organ system. Results/Anticipated Results: Across 167 GLP-1 trials, the weighted proportion of participants experiencing non-serious adverse events was higher in drug arms than in placebo (4.3% vs. 3.3%, p < 0.001). Serious events were uncommon but slightly higher in drug arms (0.1% vs. 0.1%, p = 0.01). The most frequently affected organ systems for non-serious events were gastrointestinal, metabolism/nutrition, and infections/infestations. Among serious events, cardiac disorders were most frequent, occurring less often in the drug arm (0.2% vs. 0.3%, p < 0.001). Discussion/Significance of Impact: Elevated adverse event rates in GLP-1 trials were primarily due to non-serious events across multiple organ systems. Leveraging the AACT database demonstrates the feasibility of harmonizing trial-level adverse event information to assess safety patterns across diverse trial populations.

Objectives/Goals: Metallothioneins (MT) are cysteine-rich proteins that bind metals and regulate oxidative stress. MT2A, the most expressed MT gene, is lost in ~70% of High Grade Serous Ovarian Cancer cases. We hypothesize that MT2A loss disrupts mitochondrial function and metabolism, promoting tumor progression. Methods/Study Population: To explore this, MT2A was knocked down (KD) in CAOV3 HGSOC cells via lentiviral shRNA. KD was confirmed transcriptionally via RT-qPCR and functionally using a nuclei-counting assay, which assesses sensitivity to cadmium chloride (CdCl₂), a cytotoxic heavy metal. Mitochondrial membrane potential (MMP) was assessed via flow cytometry, and oxygen consumption rate (OCR) was measured with Resipher. Clonogenic potential was evaluated by soft-agar colony formation assays. Results/Anticipated Results: MT2A KD cells showed a significant decrease in nuclei count in response to CdCl₂. MMP was reduced in MT2A KD cells, indicating compromised mitochondrial integrity. OCR was significantly decreased in MT2A KD cells, suggesting impaired oxidative phosphorylation. These phenotypes are characteristic features of the Warburg effect, which is a hallmark of aggressive cancers. Soft agar assays revealed that MT2A loss significantly enhanced the cell’s ability to multiply adhesion free from a single cell, a phenotype associated with aggressive oncogenic transformation. Discussion/Significance of Impact: In summary, MT2A loss disrupts mitochondrial dynamics and oxidative metabolism while promoting tumor aggressiveness. These findings support our hypothesis that MT2A plays a key role in regulating mitochondrial homeostasis and may influence metabolic adaptation in HGSOC.

Objectives/Goals: The use of evidence-informed project management (PM) frameworks such as Agile has the potential to increase the productivity, rigor, and reproducibility of collaborative team science. This poster explores our work with Clinical and Translational Research teams to evaluate and disseminate lightweight, flexible PM tools. Methods/Study Population: Training research teams in the development of systematic approaches to PM has the potential to increase teams’ ability to conduct high-impact Clinical and Translational Research. Here, we report on two research activities at the Michigan Institute for Clinical and Translational Research (MICHR). First, we share data from the NIH-funded IMPACT-CTR study that demonstrate the impact PM systems have on how teams collaborate. Second, we share results of ongoing User Experience (UX) testing of Notion-based PM templates specifically designed to facilitate Team Science. We engaged postdoctoral fellows, early-career researchers, and project managers to assess the acceptability, usability, and feasibility of implementing these templates. Results/Anticipated Results: Results from the IMPACT-CTR study demonstrate the importance of lightweight, accessible PM systems that facilitate robust teamwork. Teams with defined, well-documented PM approaches reported lower levels of conflict, as well as higher levels of research productivity and team satisfaction. Further, PM systems depend on and influence teams’ information and data management approaches, also key contributors to a team’s ability to achieve their scientific objectives and conduct rigorous, reproducible research. We anticipate that results from UX testing of PM templates will demonstrate high levels of interest in implementing these tools to support collaborative research, providing an accessible entry point to proven PM strategies standard adapted from other fields. Discussion/Significance of Impact: Providing context-appropriate, flexible, and adaptable PM tools as well as training in PM best practices to science teams has the potential to streamline team communication and collaboration, improve efficient use of funding, and enhance research productivity. Studying such implementations will yield additional insights for Team Science.

Objectives/Goals: This project shares pilot data on types of community engagement activities that are valued and used in faculty promotion and tenure (P&T) in academic public health. The pilot will expand beyond public health to other types of academic institutions to examine P&T guidelines and gather additional data through multiple case study design. Methods/Study Population: We collected preliminary data through a survey disseminated to public health schools and programs about perceived value and actual use of community-engaged research (CEnR) in faculty promotion and tenure. Thirteen activities, grouped into four categories (dissemination, education and training, leadership, and other), were ranked within these four groups and overall. In the project expansion, we will review P&T guidelines in academic institutions more broadly (beyond public health) and conduct interviews with relevant stakeholders, such as faculty affairs representatives and faculty in practice track positions. Results/Anticipated Results: Preliminary data show that while schools include CEnR in their P&T guidelines, they are often vague. In addition, the findings suggest that publishing in peer-reviewed journals and obtaining grants or contracts are, by far, the most valued and used activities for faculty promotion and tenure decisions. Least valued and used included disseminating findings through other means (media, policy, or community), developing reports or guidelines with population health implications, and demonstrating leadership or reputation in CEnR. We anticipate that expansion of this project beyond public health will yield similar results. However, we aim to incorporate institutions that value CEnR and provide examples of and recommendations for faculty successfully navigating P&T while engaging in this work. Discussion/Significance of Impact: Data suggest that traditional research is most valued in academia. The future project will aim to answer what constitutes quality CEnR, who judges it, the value of dissemination beyond peers, and how to utilize traditional academic structures to reward faculty who build relationships to translate research into evidence-based policies and practices.

Objectives/Goals: Capacity building within the field of implementation science has primarily focused on tangible training and resources. Yet, there has been a gap in recognizing the critical role of professional identity and self-efficacy for implementation scientists. Methods/Study Population: We conducted a qualitative needs assessment of our local implementation science network to inform the renewal grant for our clinical and translational science institute. Implementation science investigators familiar with the topic were contacted to participate in a semi-structured, individual interview via Zoom. Participants were chosen based on their varying levels of engagement with local implementation science resources. The interview guide was informed by the consolidated framework for implementation research domains. Interviews were transcribed both manually and using the Zoom Transcribe feature. Data were coded in Dedoose 10, and an inductive, iterative coding approach was taken. Results/Anticipated Results: A total of seven investigators representing the three major research institutions in the network participated in interviews. The interviews lasted on average 38 minutes. The study aimed to identify the facilitators and barriers to building implementation science capacity within the local network. However, themes related to the investigator’s sense of legitimate participation within the field, along with their perceived self-efficacy and identity, emerged in each interview. Several factors appeared to shape the identity of implementation science, such as barriers imposed by other implementation science leaders, a perceived lack of “legitimate” training, and identifying parameters around who is or isn’t a “card-carrying implementation scientist.” Discussion/Significance of Impact: Concerns about professional identity have been noted by many senior leaders in the field, but have yet to be systematically investigated. Further work is planned to examine the extent of these perceptions and attitudes, and recommendations can be developed to continue to epitomize the “big tent” aspect of implementation science.

Objectives/Goals: The human coronavirus OC43 is a Betacoronavirus, like SARS-CoV-2, but causes limited disease. Current clinical OC43 strains replicate in airway epithelial cultures while the lab-adapted strains only replicate in immortalized cells. We will identify the host and viral factors causing this difference. Methods/Study Population: To observe the effects of specific mutations present in clinical isolates of OC43, we will construct infectious clones of clinical and lab-adapted strains. Through targeted mutagenesis, we will characterize structural differences present in the Spike protein of clinical strains and identify the tropism-determining genome regions. By manipulating expression levels of enzymes involved in sialic acid production including SIAE and CasD1 and using a carbohydrate microarray to further evaluate carbohydrate binding, we will evaluate whether clinical OC43 isolates use the same 9-O-acetylated sialic acid identified as a receptor for the lab-adapted OC43 strain (VR-1558). Results/Anticipated Results: In primary human lung epithelial cell cultures, clinical strains of OC43 persistently replicate through 30 days post-infection. In contrast, the lab-adapted strain did not replicate. Growth on standard immortalized cells demonstrated the reverse phenotype with extensive replication of VR-1558 but no replication by the clinical isolates. Using AlphaFold to predict the 3D structure of Spike from a clinical isolate of OC43, we identified differences at a region previously identified as the binding site for its 9-O-acetylated sialic acid receptor. Further testing will determine whether these structural differences in Spike are responsible for the observed differences in viral tropism. Discussion/Significance of Impact: This project will deepen knowledge of coronavirus biology and the drivers of respiratory cell tropism. It will also develop novel tools for the study of OC43 and particularly of clinically relevant circulating strains which are better models for developing broad-spectrum therapies.

Objectives/Goals: The goal was to create and deploy an intuitive, easy-to-use tool that clinical investigators can use to make or modify high-quality figures for publication. Methods/Study Population: We developed GoFiguR, an interactive application built with RShiny, to help researchers and analysts visualize their data with ease. Users upload data files, choose a plot type (histogram, scatterplot, boxplot, bar plot, or Kaplan-Meier curve), and then specify variables, labels, and font sizes to generate the figure. Alternatively, users can upload a ggplot2 object to modify labels, font sizes, or plot themes in an existing figure. All figures can be exported either as ggplot2 object for additional modification or as one of multiple file formats with user-defined dimensions and resolution. GoFiguR is hosted on a secure, university-maintained website with access limited to university personnel. Instructional step-by-step handouts were developed to assist investigators in the use of the app. Results/Anticipated Results: We plan to integrate GoFiguR into the biostatistics consultative services offered by our Clinical and Translational Science Program. In practice, we anticipate several use cases: investigators and analysts can use GoFiguR to generate mock figures during project planning, analysts can create visualizations following data analysis, and investigators can apply final edits to figures prior to dissemination. Through this collaborative process, investigators are expected to gain a deeper understanding of appropriate figure types for various data visualizations. Discussion/Significance of Impact: Creating publication-quality figures is often a time-intensive process requiring multiple iterations, between the investigator and analyst. GoFiguR enables more efficient development of figures as investigators can directly modify figures to their specification.

Objectives/Goals: This study evaluates the impact of a pharmacist-delivered peer educational intervention on buprenorphine dispensing behavior for opioid use disorder (OUD) in Appalachian Kentucky. Methods/Study Population: Based on themes from focus group analyses of our prior work, we developed a pharmacist-delivered peer educational intervention consisting of brief, on-site academic detailing sessions (i.e., mini visits) and live continuing pharmacy education webinars. Trained academic detailing pharmacists conducted mini-visits to 113 community pharmacies across 23 counties (20 lowest and 3 of the next 5 lowest buprenorphine dispensing rates per individual with OUD), providing materials while webinars reinforced confidence and addressed stigma. Changes in pharmacists’ self-reported buprenorphine dispensing behaviors were evaluated using a validated pre-post survey offered to all pharmacists in each pharmacy. Analyses used unpaired t-tests for continuous scores variables and chi-square for categorical variables Results/Anticipated Results: A total of 128 of 131 participants (97.7%) completed the pre-survey and 95 of 131 (72.5%) completed the post-survey. Sex was similar between individuals in the pre- and post-surveys (50.0% vs 52.6% female, P=0.7). Most worked in independent pharmacies (64.8% pre, 67.4% post) and had ≥10 years in practice (63.3% pre, 68.4% post). Buprenorphine dispensing was reported by 85.9% pre and 88.3% post. After the intervention, participants showed greater willingness for telehealth prescriptions, with a mean change of +0.2 points (95% CI: 0.001–0.46, P = 0.0038) on a four-point scale. They also reported more welcoming environments toward individuals receiving buprenorphine treatment (five-point scale; mean change: +0.4, 95% CI: 0.05–0.8, P = 0.027). Discussion/Significance of Impact: Our pharmacist-delivered peer intervention enhanced pharmacists’ willingness to dispense buprenorphine via telehealth and fostered supportive pharmacy environments. Next, we will assess its effectiveness in expanding buprenorphine treatment access across Kentucky using county-level dispensing data.

Objectives/Goals: Hepatocellular carcinoma (HCC) is the third leading cause of cancer deaths worldwide. The epidemiology of HCC has been changing over the past several decades. The aim of this study is to examine changes in etiology, incidence, and survival of HCC in a population-based cohort in the Upper Midwest. Methods/Study Population: The Rochester Epidemiology Project (REP) is a medical records linkage system between healthcare systems that centralizes patient records to a database for investigators to access for approved research projects. The REP now includes 27 counties in southeastern Minnesota and western Wisconsin, with access to 2.9 million medical records linked to 1.4 million persons who resided in this region at some point between 2010-2024. In this study, we used ICD-9 and ICD-10 codes to identify any patient in the REP with one or more instances of the relevant HCC codes. Charts were manually reviewed to confirm diagnosis, residency, and clinical information. All patient data were analyzed as an overall cohort and stratified by era of diagnosis or demographic characteristics. Results/Anticipated Results: Metabolic disorders were the most prevalent HCC risk factor in this cohort, with hypertension, nonalcoholic steatohepatitis, and hyperlipidemia rates significantly increasing over the study period. Age- and sex-adjusted HCC incidence also increased over the study period from 5.39 (95% CI: 3.63, 7.98) per 100,000 person-years in 2010-2013 to 8.17 (95% CI: 6.10, 11.07) per 100,000 person-years in 2018-2021 (p=1.1844x10-4). Age, sex, and race stratification shows that this increase was driven by men, those age 65+ years, and non-Hispanic White individuals. The median survival in this cohort was 23.41 (95% CI: 19.81, 26.97) months, with surveillance status, BCLC stage at diagnosis, hypertension, and hypertriglyceridemia being associated with a significantly decreased hazard ratio of death. Discussion/Significance of Impact: This study highlights the changing landscape of HCC etiology and increasing incidence using a population-based Midwestern cohort. Overall survival remains low, highlighting the need for more robust prevention and screening in at-risk groups.

Objectives/Goals: The objective is to study the association of subjective tinnitus, hearing status, clinical symptoms and the psychosocial effects on Puerto Rican adults with the condition. A specific aim is to describe auditory status, tinnitus characteristics and subject’s performance on the Tinnitus Handicap Inventory (THI). Methods/Study Population: This is a Transversal Descriptive pilot study, where 30 clinical records of adult Puerto Rican subjects diagnosed with Tinnitus on the Intramural Audiology Clinic of the Medical Sciences Campus, located at the University of Puerto Rico, during 2022 to 2024 were analyzed to establish a profile. Subjects between 21 and 64 years old from both genders were studied. This research was conducted after the Office of Research Participant’s Protection-IRB of the Medical Sciences Campus of the University of Puerto Rico gave the approval. Results/Anticipated Results: The study found that Tinnitus can have a significant impact in the individual’s life. The effects were registered mainly in the following areas: •Emotional Area: Subjects reported anxiety associated to experiencing Tinnitus. •Mental Health: Subjects reported being stressed due to their Tinnitus •Cognitive Functioning: Subjects reported difficulties to concentrate, think with clarity o recall information. Also subjects indicated that Tinnitus interferes with their sleep patterns affecting rest and having negative synergic effects resulting in confusion and fatigue. The condition impacts daily living productivity as well as occupational tasks. Eighty-three percent of research participants reported that their Tinnitus interfere with household tasks. Discussion/Significance of Impact: This pilot study adds to the body of evidence that validates the need to address Tinnitus in an integral manner treating its effects in all the physical and mental health dimensions affected by the condition. Also, the results of this study can be used to promote health plans coverage in Puerto Rico for Tinnitus assessment and rehabilitation.

Objectives/Goals: This project, at the intersection of psychological and neuroimaging science, aims to develop and validate an open, transparent, and reproducible workflow for measuring functional brain activity using functional near-infrared spectroscopy (fNIRS), advancing methodological rigor and translational potential in human neuroscience. Methods/Study Population: A Python-based workflow using MNE was designed to improve reproducibility in fNIRS data acquisition. The workflow includes the following: (1) electromagnetic digitizer accuracy testing and distortion correction; (2) integration of head shape and source-detector location data; (3) visualization tools for verifying optode placement accuracy before data collection; and (4) implementation entirely in an open-source software to promote accessibility and transparency. Results/Anticipated Results: Difference in data quality, spatial accuracy, and reproducibility between standard fNIRS practice and this open workflow will be systematically evaluated. Discussion/Significance of Impact: This project advances translation in neuroimaging by embedding rigor and transparency into all stages of the workflow. By openly sharing software tools and validation methods, the workflow enables independent replication, fosters methodological transparency, and reduces reliance on proprietary systems.

Objectives/Goals: It is currently recommended that primary care providers screen at-risk populations for fatty liver disease using transient elastography (TE) or magnetic resonance elastography (MRE), but the availability of these tests is unknown. Our aim was to identify the geographic availability of TE and MRE units in the Upper Midwest. Methods/Study Population: Using public data from each test’s manufacturer’s website, we identified and mapped the number of TE and MRE units in each county in the Upper Midwest (Minnesota, Wisconsin, and Iowa). Results/Anticipated Results: In Figure 1, we present a map of Minnesota, Wisconsin, and Iowa. Figure 1 displays the density of TE and MRE units in MN, WI, and IA. It can be seen that the majority of counties in these three states do not have any TE or MRE units. In Table 1, we present the percent of counties in MN, WI, and IA without access to a TE or MRE unit. The vast majority of counties in these three states do not have any TE (89% of counties in MN, 81% of counties in WI, and 96% of counties in IA) or MRE (90% of counties in MN, 94% of counties in WI, and 98% of counties in IA) units. Discussion/Significance of Impact: There is limited access to TE and MRE in the Upper Midwest. This highlights the need for alternative technology to help primary care providers screen for fatty liver disease in practices where TE and MRE are not available.

Objectives/Goals: Identify host ecology factors that lead to the emergence of highly pathogenic avian influenza (HPAI) variants shown to be more fit than others and that become variants of concern to agriculture, wildlife, and humans. Goals include targeted surveillance for these variants for enhanced biosecurity measures in agriculture and pandemic preparedness. Methods/Study Population: The study dataset of 721 HPAI-positive cases in wild birds in New England since 2022 was collected through a robust sampling effort by Tufts’ Runstadler Laboratory together with a large network of wildlife rescue and rehabilitation partners. We will fit mixed-effects models to measure the association of variant fitness as a fixed effect with the odds of infection in species of either of the two bird orders most associated with HPAI – gulls and shorebirds or ducks and geese. Variant will be fit as a random effect, and covariates will include ecological factors. Fitness will be a leveled variable based on prevalence, geographic spread and host range. Using centroid spatial statistics, we will determine whether these variants traveled geographically distinct transmission routes, indicating distinct host ecologies. Results/Anticipated Results: We anticipate that birds of the order Charadriiformes (seagulls and shorebirds) will be more associated than Anseriformes (ducks, geese) with HPAI variants that were not transmitted beyond the region and that the reverse will be true with variants that did achieve prevalence over a wide geographic range and range of host species, including agricultural species. We also anticipate that there are distinct transmission routes by variant that could better illuminate host ecology dynamics in this region that contribute to variant fitness. Discussion/Significance of Impact: The current HPAI virus outbreak is perpetuated by evolution to new variants through co-infections in wild birds with low pathogenic avian influenza viruses they carry. This research could lead to study of the virulence to different wild bird host species of low pathogenic avian influenza subtypes that contributed genetic material to an HPAI variant.

Objectives/Goals: To develop and validate a Random Survival Forest model predicting individualized tactile sensory recovery after DIEP flap breast reconstruction, enabling personalized postoperative counseling and future clinical decision-support integration. Methods/Study Population: Neurotized DIEP flap reconstructions (2019-2025) with pressure-specified sensory device testing were analyzed for time to ≥ 50% tactile sensory recovery. A five-variable Random Survival Forest (RSF) (dual vs. single coaptation, BMI, age, operative time, mastectomy weight) was trained on an imputed dataset. Discrimination (C-index; 1 = perfect discrimination, 0.5 = random chance), 12-month accuracy (Brier score; 0 = perfect forecast, 1 = completely inaccurate forecast), and calibration (predicted vs observed recovery quartiles) were assessed. Representative cases illustrate patient-specific recovery curves. Results/Anticipated Results: Of 110 breasts, 60 achieved ≥ 50% recovery. Mean follow-up was 17.1 ± 1.7 months (median 12.8, 95% CI 9.7-19.7). The RSF achieved C-index 0.69. The mean predicted recovery increased from 32.3% at 6.13 months to 49.5% at 11.8 months, 56.2% at 17.7 months, and 60.8% at 24.1 months. Calibration at 12 months by quartiles of predicted recovery showed observed recovery 0% (Q1), 48.8% (Q2), 80.8% (Q3), and 100% (Q4). The corresponding mean predicted probabilities were 17.2%, 43.1%, 62.3%, and 77.0%, respectively. The RSF model demonstrated superior predictive accuracy (Brier = 0.099) compared with a Kaplan-Meier baseline (Brier = 0.247). The low-recovery case had predicted recovery 6.2% at 12 months. The median case tracked the cohort mean: 52.4%. The high-recovery case achieved 81.8% at 12 months. Discussion/Significance of Impact: A five-variable RSF provides individualized recovery trajectories with moderate discrimination and good internal calibration. The tool quantifies time-dependent probabilities and supports the development of a perioperative counseling tool to predict expected tactile recovery after neurotized DIEP flap breast reconstruction.

Objectives/Goals: We previously developed and evaluated a system called MyTrials, which captures biomarker data remotely. We sought to improve that platform to support additional methods of remote biomarker capture, which is especially important in research such as substance use and co-use studies where participants provide several biological verifications. Methods/Study Population: To determine how best to adapt MyTrials, we conducted qualitative interviews with key stakeholders. Our sample of end users (i.e., participants, N=10) included 6 women (3 men and 1 nonbinary participant), 6 White participants (2 Black participants, 1 Asian participant, and 1 multiracial participant), 6 participants with education beyond high school (4 participants with high school/GED), with a mean age of 36.33 years (age range: 21–75), and with a range of substance use behavior (combustible cigarettes [N=6], e-cigarettes [N=3], cannabis use [N=5], and no substance use [N=2]). Our sample of potential customers (N=22) included 12 research investigators, 2 biospecimen lab representatives, 3 research coordinators, 3 representatives from large NIH grant initiatives (ABCT, CTN, and CTSA), and 2 REDCap engineers/managers. Results/Anticipated Results: Emerging themes included 1) suggestions for technical requirements including reliability of core functions, app usability, support access, and data security/compliance and 2) suggestions for commercialization including clarity of instructions, operational logistics, trust in the data collection process, IRB/funder acceptance, and participant retention enablers. Discussion/Significance of Impact: Key feedback themes will inform product improvement to meet the needs for decentralized clinical trials to collect biological or health data without in-person participation.

Objectives/Goals: Using k-means clustering, we analyzed data from the All of Us Research Program to 1) identify distinct social connectedness clusters (based on social support and neighborhood social cohesion) and 2) examine their associations with objectively measured physical activity (PA) and daily steps among adults in the USA. Methods/Study Population: PA is an important modifiable factor for preventing noncommunicable diseases, yet <50% of US adults meet moderate-to-vigorous PA (MVPA) guidelines. While social connectedness may influence PA, its relationship with objectively measured PA remains understudied. We conducted a secondary analysis of All of Us data from participants who completed the Social Determinants of Health Survey and provided 7 days of objective PA data (Fitbit). Using k-means clustering, we identified social connectedness profiles based on social support and neighborhood cohesion. We determined the optimal number of clusters using partition criteria and ran logistic regression models (adjusted for demographic, clinical, and neighborhood factors) to examine associations with meeting MVPA guidelines and achieving 10,000 steps/day. Results/Anticipated Results: Among 8,406 participants (mean age 55.6±14.7 years; 70.0% women; 80.1% non-Hispanic White), we identified three clusters: high social support/high neighborhood cohesion (HSS-HSC; 28%), high social support/low neighborhood cohesion (HSS-LSC; 47%), and low social support/low neighborhood cohesion (LSS-LSC; 24%). Compared to HSS-HSC, participants in HSS-LSC and LSS-LSC clusters had lower odds of meeting MVPA guidelines (HSS-LSC: AOR=0.87, 95% CI=0.78–0.98; LSS-LSC: AOR=0.81, 95% CI=0.70–0.93) and achieving 10,000 steps/day (HSS-LSC: AOR=0.82, 95% CI=0.72–0.92; LSS-LSC: AOR=0.84, 95% CI=0.72–0.98). Discussion/Significance of Impact: Social connectedness is associated with greater PA. Nearly 50% of our sample had low neighborhood cohesion despite high social support, highlighting gaps in community-level connectedness. Findings support the need for multilevel interventions to address determinants of PA among adults.

Objectives/Goals: The objective of this study was to evaluate whether exposure to air pollution (PM 2.5) and neighborhood deprivation are associated with prostate cancer risk among men in Baltimore and to determine if social and environmental factors jointly influence disparities in prostate cancer occurrence among men. Methods/Study Population: This case–control study was conducted in the Greater Baltimore area between January 2005 and January 2016. Participants included 617 men with prostate cancer and 852 controls without prostate cancer of African and European descent. Individual data on demographics, smoking, BMI, income, and education were collected through chart review. Residential addresses were linked to neighborhood deprivation index (NDI) and average fine particulate matter (PM₂.₅) levels for 2010 using geospatial data. Logistic regression models were used to estimate associations between PM₂.₅, NDI, and odds of prostate cancer, adjusting for race, smoking, income, education, and BMI. All analyses were conducted using complete-case data. Results/Anticipated Results: In complete-case logistic regression of prostate cancer case status (n = 1,856), unadjusted PM₂.₅ (per 1 µg/m³) was positively associated with odds of prostate cancer (unadjusted OR for developing prostate cancer per 1 µg/m³ = 1.35; p = 0.014). After multivariable adjustment for neighborhood deprivation index (NDI), race, smoking, income, education, and BMI, the association between PM₂.₅ and case status was attenuated and not statistically significant (adjusted OR per 1 µg/m³ = 0.78; 95% CI 0.59–1.04; p = 0.088). By contrast, NDI was associated with higher odds of developing prostate cancer in adjusted models: adjusted OR per 1-unit increase in NDI was 1.15 (95% CI 1.09–1.21; p < 0.001). Using a standardized effect, the adjusted OR per 1 SD increase in NDI was 1.41 (95% CI 1.23–1.61). Discussion/Significance of Impact: Neighborhood deprivation was significantly associated with higher odds of prostate cancer, independent of race, smoking, income, education, and BMI. PM₂.₅ showed no independent association after adjustment, suggesting socioeconomic context may underlie observed disparities in prostate cancer incidence.

Objectives/Goals: Opioid overdose education and naloxone distribution (OEND) programs improve knowledge, attitudes, and overdose response but face implementation and sustainment challenges in rural areas. This project will identify barriers, facilitators, and strategies for delivering an OEND Training-of-Trainers (ToT) program in rural community pharmacies. Methods/Study Population: We will conduct 60-minute qualitative interviews with 20 key informants (10 pharmacists, 10 staff) from 10 rural Arkansas community pharmacies. Interview questions are guided by the Consolidated Framework for Implementation Research (CFIR) constructs to identify factors influencing implementation. Recruitment will occur through the Rural Research Alliance of Community Pharmacies network. Interviews will be recorded and transcribed for analysis using a CFIR-informed coding process to identify overall themes. Results/Anticipated Results: Identification of CFIR-categorized facilitators and barriers to OEND ToT program implementation in rural community pharmacies is anticipated. Anticipated barriers identified in participant interviews include staffing availability, workflow integration, reimbursement, and space constraints. Barriers and facilitators identified will guide the collaborative co-design focus group sessions to select and adapt implementation strategies in phase two of the project. Discussion/Significance of Impact: Drug overdose remains a leading cause of death. OEND programs are effective but underused in rural areas. Identifying barriers and strategies to support implementation in the rural community pharmacy setting can expand access, improve knowledge and confidence, and advance scalable, evidence-based care.