Interactive Demographics Explorer
Explore how food addiction patterns vary across demographic combinations. Use the interactive tools below to filter data, compare groups, and discover insights.
Heatmap Matrix
Visualize risk patterns across age, BMI, and sex combinations
Dynamic Filters
Drill down into specific demographic cohorts
Group Comparison
Compare risk profiles using radar charts
Note:
Cells with fewer than 10 participants are hidden to ensure statistical reliability.
Data shown is from 6,439 anonymized YFAS completions.
Risk Heatmap: Age × BMI Combinations
This heatmap shows the percentage of severe food addiction cases across different age and BMI combinations. Darker red indicates higher risk, while green indicates lower risk.
Risk Level
Cohort Analysis Tool
Filter the data by specific demographic characteristics to see detailed breakdowns and compare with the overall population.
Group Risk Profile Comparison
Compare risk profiles across different demographic groups using a radar chart. The chart below shows a default comparison between Normal BMI and Obese Class III BMI groups. Adjust the selections and click "Compare Groups" to explore other combinations.
Group 1
Group 2
Key Findings
🔴 Highest Risk Combinations
- Female, Not Specified, Obese II 80% severe (n=15)
- Female, 45-54, Obese III 75.9% severe (n=29)
- Female, 18-24, Obese I 73.1% severe (n=26)
🟢 Lowest Risk Combinations
- Male, 35-44, Normal 0% severe (n=22)
- Male, 55-64, Not Specified 4.2% severe (n=24)
- Male, 45-54, Normal 5.3% severe (n=19)
About This Tool
This interactive explorer uses D3.js to visualize patterns in 6,439 anonymized YFAS completions. All data is aggregated and contains no personally identifiable information.
Data Filtering: Demographic combinations with fewer than 10 participants are excluded to maintain statistical reliability and protect individual privacy.
Return to Overview: View the main analytics dashboard for static charts and comprehensive insights.