The adverse effects of poor treatment in healthcare settings on cardiovascular health are poorly understood, particularly among aging adults. Traditionally, poor treatment has been investigated as an exposure variable that is not attributed to a single or actionable location. Within a healthcare system, healthcare researchers have the opportunity to directly implement evidence-based interventions to mitigate harmful practices. Studies have shown that patient-provider interactions can lead to patient’s foregoing preventative care early in the life course, a consequential choice that can lead to adverse health outcomes. Identifying the adverse impacts of patient-provider interactions is important for improving patient-physician interactions. The predoctoral phase (F99/Aim 1) will employ longitudinal data from the Health and Retirement Study (HRS) to investigate the impact of poor treatment in a healthcare setting on the incidence of stroke and myocardial infarction in adults aged 50 and older. My hypothesis is that middle-aged individuals who experience poor treatment in healthcare are more likely to have negative cardiovascular outcomes at older ages. To evaluate this hypothesis, this phase will use rigorous epidemiological methods to measure the relationship between patient-provider interactions and increased cardiovascular risk. We aim to understand how such patientprovider interactions can worsen cardiovascular health and potentially lead to related cognitive health dilemmas. My research then transitions into a postdoctoral phase further focusing on the complex relationships among patient-provider interactions, aging, and cognitive health. My postdoctoral research (K00/Aim 2) will estimate the longitudinal effects of poor treatment in a healthcare setting on the cognitive health of adults aged 50 and older and identify factors contributing worse health outcomes. The project builds on my ongoing research supported by a National Institute on Aging (NIA) Supplement award, establishing a foundational research trajectory for understanding the health impacts of patient-provider interactions in aging populations. Throughout both phases, my structured training and research will be interdisciplinary, employing rigorous epidemiological methods for causal inference and leveraging qualitative insights to contextualize the findings. I will gain valuable skills in longitudinal data analysis and multilevel modeling, equipping me to comprehensively address these complex health issues. My work aims to instigate improvements in healthcare by enhancing our understanding of patient-provider interactions and health outcomes. This research and training trajectory aligns with NIA's priorities and is crucial for my development as an independent researcher focusing on the intersection of aging and health improvement.