Modelling Diabetes Risk: Social and Behavioural Factors in BRFSS Data
This project analyses data from the 2024 Behavioral Risk Factor Surveillance System (BRFSS), a U.S. health survey of over 450,000 adults, to examine how demographic, socioeconomic, and behavioural factors relate to diabetes risk.
The goal is to identify which factors are most strongly linked to a diabetes diagnosis, and how those links change after adjusting for the others.
The project has three parts:
Overview
The key findings at a glance, with charts showing how diabetes risk varies with age, body weight, and income.
Exploratory Data Analysis
Who is in the sample, how each variable is distributed, and how each one relates to diabetes before any adjustment.
Logistic Regression
The full model and its results: adjusted odds ratios, model performance, diagnostics, and assumption checks.