# | ||
---|---|---|
{{ a.id }} | {{ a.text }} | {{ a.answer }} |
The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) is a concise, evidence-based screen created by public-health researchers to spot emerging patterns of harmful drinking. Internationally validated across diverse populations, it relies on three behaviour-focused items that quantify drinking frequency, typical volume, and episodes of heavy consumption reported for the previous twelve-month period.
This browser-based tool adapts the AUDIT-C into an interactive, self-scoring experience. A lightweight reactive engine records your answers, updates progress instantly, and calculates the cumulative 0 – 12 score when all items are complete. A semicircular gauge produced by a client-side charting layer visualises severity while colour-coded badges match clinically researched risk bands.
For example, a 35-year-old noting four drinking days per week and eight drinks each time would see a “High Risk” result, underscoring how modest changes lower your score, Results do not constitute a clinical diagnosis.
The AUDIT-C sums three ordinal responses to estimate the likelihood of alcohol-related harm. Sex-specific cut-offs improve sensitivity by reflecting different physiological tolerances.
Symbol | Description | Range |
---|---|---|
r1 | Drinking frequency | 0 – 4 |
r2 | Typical drinks per day | 0 – 4 |
r3 | Heavy-episode frequency | 0 – 4 |
S | Total score | 0 – 12 |
Sex | Risk Band | |||
---|---|---|---|---|
Low | Moderate | High | Possible Dependence | |
Male | 0 – 3 | 4 – 5 | 6 – 7 | 8 – 12 |
Female | 0 – 2 | 3 – 4 | 5 – 7 | 8 – 12 |
All computations are ms-level and executed entirely client-side. The charting layer re-initialises on window resize to preserve aspect ratio without loss of precision.
The sequence below walks you from initial input to interpreting your score.
Research shows these items capture the most predictive elements of the full ten-item AUDIT, reducing burden while preserving accuracy.
Physiological differences influence alcohol metabolism; separate cut-offs improve risk classification for men and women.
No. Answers remain in your browser’s memory and are discarded when you close or refresh the tab.
The badge colour and gauge label indicate a risk band. Higher values suggest increasing likelihood of alcohol-related harm and may warrant professional advice.
Yes. Select a different option or refresh the page to start over; previous answers are not recorded or transmitted.