Faculty Bibliography

BACKGROUND:The Starting Early Program (StEP) promotes healthy nutrition during early life and leads to healthier child weight, but whether dietary patterns contribute to weight or mediate StEP weight outcomes has not been studied. OBJECTIVES/OBJECTIVE:This secondary analysis identified infant dietary patterns in StEP, determined associations between dietary patterns and child weight outcomes, and examined whether dietary patterns mediated the relationship between StEP and child weight. METHODS:-score (WFAz) and likelihood of being classified as overweight (WFA ≥85th percentile) were assessed using linear and logistic multivariable regression models. Mediation was used to assess intervention effects on WFAz via impacts on infant dietary patterns. RESULTS:Four classes of infant dietary patterns were identified: Breastfed-High variety, Formula fed-High variety, Formula fed-Low variety, and Mixed fed-Low variety. Compared to the Breastfed-High variety class, infants in the Formula fed-Low variety class had higher WFAz and were more likely to be classified as overweight at 24 and 36 months. Participation in StEP increased membership in Breastfed-High variety, which mediated the association between StEP and lower WFAz at 24 months. CONCLUSIONS:Infant dietary patterns were identified, and some were associated with child overweight. StEP was associated with a dietary pattern most consistent with guidelines, which mediated intervention effects on child weight.

BACKGROUND:There are limited studies on telehealth use patterns among patients with prostate cancer. OBJECTIVE:We assessed the patterns of delivery of care for prostate cancer management in the Veterans Health Administration (VHA). DESIGN/METHODS:A retrospective observational cohort study from January 2016 to February 2023. PARTICIPANTS/METHODS:Data were from the VHA's Corporate Data Warehouse (CDW). Veterans with a new diagnosis of prostate cancer were included in the study. Those who died within 1 year of diagnosis, had missing staging information, or had no prostate-specific antigen (PSA), biopsy, or treatment recorded within 2 years of initial diagnosis were excluded. MAIN MEASURES/METHODS:Veterans were categorized into watchful waiting, active surveillance, and active treatment management groups based on subsequent care received and categorized into National Comprehensive Cancer Network (NCCN) risk categories. We categorized outpatient urology or oncology visits as telephone-based, video-based, or in-person using administrative stop codes. We used logistic regression models to evaluate the characteristics associated with at least one video/virtual visit. KEY RESULTS/RESULTS:In total, 60,381 Veterans were included in the study (20.3% low risk, 49.8% intermediate risk, and 29.8% high risk). Even during the COVID-19 pandemic, less than 6% and 9% of Veterans had at least one urology or oncology video visit, respectively, in the first year after diagnosis across all management groups. In the regression model, Veterans aged 60 and older were less likely to have video visits for both urology and oncology. In contrast, living in urban areas, being diagnosed during the COVID-19 pandemic, and being in the intermediate NCCN risk group were associated with higher odds of having at least one video visit in both specialties. CONCLUSIONS:Despite improvements in telehealth use among Veterans with prostate cancer, telehealth utilization, particularly video visits, remains low, warranting attention from leadership and policymakers.

INTRODUCTION/BACKGROUND:Identifying individuals who undergo cognitive decline is vital to the success of prevention trials that aim to slow cognitive decline. Yet, the benefits of using blood-based biomarkers of neurodegeneration, as well as amyloid and tau, to enrich population-based prevention trials have not been quantified. METHODS: = 552). RESULTS:Elevated plasma biomarker levels identified dementia-free older adults with faster cognitive decline. By selecting participants with Quanterix SiMoA measurements of neurofilament light > 30.65 pg/mL, the sample size needed to detect a 33% reduction in cognitive decline in a clinical trial decreased by 57%. DISCUSSION/CONCLUSIONS:Clinical trials can use plasma biomarkers as a screening tool to increase statistical power.

Growing evidence suggests that exposure to air pollution during early life is associated with autism spectrum disorder (ASD). However, results have been inconsistent for autism-like traits and in low exposure settings. Here, we assessed sensitive windows of exposure to fine particulate matter (PM_2.5), nitrogen dioxide (NO₂), and ozone (O₃) and joint effects of exposure to sources and constituents of PM_2.5 on autism-like traits among 798 children in the Upstate KIDS cohort. Residential air pollution exposures were assessed with machine learning and land use regression models. Autism-like traits at age 10 were assessed via the ASD subscale on the Child Behavior Checklist. Treed distributed lag mixture model was used to identify critical windows of exposure to PM_2.5, NO₂, and O₃ and partial linear single index model was applied to estimate contributions of sources and constituents of PM_2.5 on autism-like traits. The median PM_2.5 exposures were 8.36 and 8.00 μg/m³ for pregnancy and the first year of life. We did not observe critical windows of exposure to PM_2.5, NO₂, or O₃ for autism-like traits. Exposures to elemental carbon (EC) PM_2.5 during gestation and to EC and traffic PM_2.5 during the first year of life were associated with higher odds of autism-like traits (prenatal EC adjusted odds ratio (aOR): 1.72, 95% CI: 1.04-2.83; first year EC aOR: 1.72, 95% CI: 1.21-2.46; traffic aOR: 1.31, 95% CI: 1.01-1.71). Our results suggest that exposure to motor vehicle traffic sources of PM_2.5 may drive previously reported associations between total PM_2.5 and autism-like traits.

Given intensifying political polarization and sweeping legal actions targeting marginalized populations across the U.S., there are increasing calls to examine how these policy changes are shaping population health and health inequities. To meet these calls, researchers have developed and applied various approaches to support rigorous, theoretically-informed quantitative research on policies and health. To date, much of the literature has examined single policies; however, there is growing interest in examining alternative ways of conceptualizing policy exposures, namely as policy clusters or policy climates, to better capture how policies are enacted (and experienced) in "real-world" contexts. To advance this work, greater clarity is needed regarding how different approaches to policy conceptualization, measurement, and analysis align with distinct research questions and goals, ranging from identifying specific, manipulable policy levers to informing ways of extending the "policy space" beyond already existing laws to support broader social change. In this essay, we help fill this gap by outlining key issues related to policy exposures, including conceptualization, methods for measure development, and analytic approaches for understanding the relationship between policies and health. We end by discussing future directions for population health research on single policies, policy clusters, and policy climates, with an eye towards advancing health equity.

BACKGROUND:For over a decade the Advanced Prostate Cancer Consensus Conference (APCCC) covers a variety of topics that greatly impact daily practice. In 2025, a dedicated event was organised to discuss key questions in clinical management of patients with prostate cancer (PC) related to diagnostic tools (APCCC Diagnostics). Here we present the voting results of the APCCC Diagnostics questions. OBJECTIVE; DESIGN, SETTING, AND PARTECIPANTS: APCCC Diagnostics 2025 is a pilot project. The scientific committee for APCCC Diagnostics 2025 developed 88 multiple-choice consensus questions on six different topics. Prior to the conference, the panel members (''panellists'') voted on these questions via a web-based survey. Consensus was defined as ≥75% agreement, with strong consensus defined as ≥90% agreement. OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS/METHODS:Consensus was only reached on 17 of 88 questions (19%), of which six (7%) received a strong consensus. Specifically, consensus was reached for two of 17 questions (14%) in "how to diagnose PC"; seven of 16 (44%) in "how to stage PC"; three of 14 (21%) in "Biochemical Recurrence Scenario"; two of 11 (18%) in "metastatic disease: what to do?"; zero of 18 (0%) in "monitoring metastatic PC"; and three of 12 (25%) in "radioligand therapy and imaging." CONCLUSIONS:The voting results and their discussion may assist physicians in navigating controversial areas of clinical management related to diagnosis, staging, and restaging in the different clinical settings for PC, particularly where high-level evidence is scarce or conflicting. The findings can also help funders and policymakers in prioritising areas for future research.

BACKGROUND:The SOUND randomized controlled trial demonstrated that omitting sentinel lymph node biopsy (SLNB) is noninferior to performing SLNB in early-stage breast cancer. Lymphovascular invasion (LVI), however, is an adverse pathologic feature associated with axillary nodal metastasis. In this study, we evaluated the association of LVI with occult axillary nodal metastasis in early-stage, SOUND-eligible breast cancer. PATIENTS AND METHODS/METHODS:We retrospectively reviewed patients with cT1N0 breast cancer from 2011 to 2025 who underwent upfront breast-conserving surgery and lymph node surgery who met SOUND trial eligibility criteria. Clinicopathologic variables were collected, and Pearson's chi-square test, unpaired t-test, and logistic regression were used to analyze the cohort. RESULTS:We identified 364 cT1N0 breast tumors, of which 63 (17.3%) were LVI-present. The overall nodal upstaging rate (pN+) was 11.3%. However, pN+ among LVI-present patients was 33.3% compared with 6.6% among LVI-absent patients (OR 7.03; 95%CI 3.51, 14.05; p < 0.001). Only 1 case (0.3%) had extensive nodal disease (pN2) in which LVI was present. On multivariate analysis for predictors of LVI-present, premenopausal (OR 4.23, 95%CI 2.31, 7.76; p < 0.001) was significantly associated with LVI-present, and well differentiated was significantly associated with LVI-absent (OR 0.060, 95%CI 0.010, 0.47; p = 0.0071). On multivariate analysis for predictors of pN+, only LVI-present (OR 6.47, 95%CI 3.14, 13.34 p < 0.001) was significantly associated with pN+. CONCLUSIONS:Pathologic-confirmed LVI was present in one-third of patients with SOUND-eligible breast cancer with axillary nodal metastasis. LVI-present was independently predictive of axillary nodal metastasis and may have implications for decision-making regarding SLNB-omission.

BACKGROUND AND OBJECTIVES/OBJECTIVE:GLP-1-based medications have rapidly reshaped the landscape of obesity treatment. Semaglutide was approved for obesity treatment in 2021 in the US and 2022 in Europe, sparking global interest, and the GLP-1/GIP dual-agonist tirzepatide has demonstrated even greater efficacy. However, survey-based data on who uses or considers these medications-particularly across socioeconomic groups, BMI categories, and weight management experiences-remain limited. SUBJECTS/METHODS/METHODS:A nationally representative online survey of Finnish adults (n = 1729, of which 1693 were included) was conducted in June 2025 via a market research company using quota sampling. Use and awareness of GLP-1 medications for obesity were measured with a single item listing widely known brands-Ozempic, Wegovy, Zepbound, and Mounjaro-to aid recognition. In regression analyses, current, past, and potential users (n = 322) were combined. RESULTS:In total, 3.5% reported current and 2.0% past use, and 13.5% expressed interest in future use. Notably, ~40% of individuals with obesity reported no interest. Bivariate analysis showed that current use was more common among women, those aged 50-69, those with household income exceeding €70,000, individuals with higher BMI, frequent weight loss attempts, experiences of weight-based discrimination, and self-blame. Multivariable analysis showed that current, past, and potential use had strongest associations with BMI ≥30.0 kg/m², repeated or persistent weight loss attempts, experiences of discriminatory treatment due to weight, self-blaming thoughts and hopeful perceptions of GLP-1 medications. Concern about serious health risks was associated with lower likelihood of use or interest. CONCLUSIONS:GLP-1-based medications are gaining recognition, but uptake remains heterogeneous and many individuals with obesity remain uninterested. Concerns about potential health risks persist. Attitudes toward these medications are shaped not only by weight status but also by prior weight management experiences and perceptions. Clinical communication should be sensitive to these factors.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Genetics represent a nonmodifiable risk factor for Alzheimer disease (AD), with 60%-80% heritability. Midlife hypertension is a modifiable risk factor for both dementia and death. Our primary objective was to determine how genetic risk for AD modifies the association between hypertension and dementia. METHODS:The Atherosclerosis Risk in Communities Study is an ongoing community-based prospective cohort study of 4 US centers. We analyzed White and Black participants free of dementia at age 55 years with genotypes and blood pressure measured at visit 1 (1987-1989). Three genetic risk groups (low, medium, high) were defined based on tertiles of a race-specific AD polygenic risk score. Dementia was ascertained through cognitive testing, informant interviews, hospitalization, codes and death records. Death was ascertained through the National Death Index. We examined the association of midlife hypertension with incident dementia within 3 genetic risk groups using Cox proportional-hazards and cumulative incidence function estimations. We used age 55 years as the time origin, with left truncation to allow entry at ages older than 55 years; age on December 31, 2022, was the administrative censoring date. RESULTS:Among 8,931 White and 2,666 Black participants, the median follow up time was 26.6 and 23.8 years, the mean age was 54.0/53.5 years, and 53.0%/62.5% were female, respectively. After adjusting for demographics, midlife hypertension was significantly associated with dementia incidence across all genetic risk groups among White participants (low risk hazard ratio [HR] 1.29; 95% CI 1.07-1.55, medium risk HR 1.34; 95% CI 1.13-1.58, high risk HR 1.19; 95% CI 1.03-1.38) and among Black participants at high genetic risk (HR 1.31; 95% CI 1.04-1.66). Associations for low and medium genetic risk Black participants were consistent but not statistically significant. There were no significant differences in association of hypertension with dementia by AD genetic risk group. Individuals with hypertension had a 0%-2% higher probability of developing dementia by age 80 and a 6%-13% lower probability of dementia-free survival to age 80 years vs those without hypertension, across race and genetic risk groups. DISCUSSION/CONCLUSIONS:Genetic risk for AD does not modify the association between hypertension and dementia. These data support the fact that all individuals with hypertension are likely to benefit from antihypertensive treatment.