Pfizer

2

OFHS240152

This study looks at how health conditions like type 2 diabetes and obesity change over time and how they interact with other illnesses such as cancer. By analysing participants’ health records, questionnaire responses, and genetic information, we aim to discover patterns that can improve how these conditions are treated. The goal is to develop better tools to predict, prevent, and treat these diseases based on a person’s unique health profile. This research could lead to earlier diagnoses, more effective treatments, and better health outcomes for people affected by chronic illnesses. Chronic conditions including metabolic diseases such as type 2 diabetes and obesity have multifactorial causes, with contributions from genetic predispositions, lifestyle factors, and comorbidities. This study is grounded in the hypothesis that longitudinal analysis of demographic and health data can provide deeper insights into the progression of these conditions, particularly when analysed in combination with genotype data. By examining both health records and self-reported data, we aim to capture the full spectrum of disease trajectories and responses to medications. Understanding how these diseases progress over time in different subsets of patients (T2D/non-T2D, obese/non-obese) can inform the development of personalized treatments. Specifically, the role of anti-diabetic medications like GLP1RA, alongside other lifestyle and medical interventions, will be examined. This data-driven approach will allow for the identification of new biomarkers that could help predict disease progression and inform clinical trial design for novel therapies.

This study will benefit the public by providing insights into how chronic conditions like type 2 diabetes and obesity progress and interact with comorbidities such as cancer. Using the current OFH data, we aim to: • Identify patterns in health outcomes related to these conditions. • Develop tools for earlier diagnosis and improved management of these diseases. • Inform public health strategies to reduce disease burden, especially in underserved demographics. • Enhance personalized medicine approaches by identifying biomarkers linked to treatment efficacy and risks. The study directly addresses the challenges faced by patients and clinicians in managing chronic conditions, offering practical solutions to improve health outcomes.

Public Health Research

14/03/2025

14/03/2025

TRE