cliot (version 1.0.0)

ausdrisk_score: Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK)

Description

Calculates the AUSDRISK score to estimate the 5-year risk of developing Type 2 Diabetes. This tool is designed for use in the general Australian adult population. It evaluates demographic, lifestyle, and anthropometric risk factors.

Usage

ausdrisk_score(age, sex, ethnicity_high_risk, family_history,
               high_glucose_history, bp_meds, smoker, fruit_veg_daily,
               physical_activity_sufficient, waist_cm)

Value

A list containing:

AUSDRISK_Score

The calculated total risk score.

Risk_Level

Classification (Low: <=5, Intermediate: 6-11, High: >=12).

Probability_5_Year

Estimated probability description.

Arguments

age

Numeric. Patient age in years.

sex

String. Patient sex ("Male" or "Female"). (Male adds +3 points).

ethnicity_high_risk

Numeric (0 or 1). Is the patient of Aboriginal, Torres Strait Islander, Pacific Islander, Southern European, or Asian background? (1 = Yes, +2 points).

family_history

Numeric (0 or 1). History of diabetes in a parent, brother, or sister. (1 = Yes, +3 points).

high_glucose_history

Numeric (0 or 1). History of high blood glucose levels (e.g., during pregnancy or borderline check). (1 = Yes, +6 points).

bp_meds

Numeric (0 or 1). Current use of blood pressure medication. (1 = Yes, +2 points).

smoker

Numeric (0 or 1). Current smoker. (1 = Yes, +2 points).

fruit_veg_daily

Numeric (0 or 1). Consumes fruit and vegetables every day. (1 = Yes, 0 points; 0 = No, +1 point).

physical_activity_sufficient

Numeric (0 or 1). Engages in at least 2.5 hours of physical activity per week. (1 = Yes, 0 points; 0 = No, +2 points).

waist_cm

Numeric. Waist circumference in centimeters. Male: 90-100 cm (+4), >100 cm (+7). Female: 80-90 cm (+4), >90 cm (+7).

References

Department of Health and Aged Care. The Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK). Australian Government. 2008.

Examples

# Example 1: High Risk
# 50yo Male (+7), Asian (+2), FamHx (+3), No Activity (+2), Waist 95 (+4)
# Score = 4 (Age) + 3 (Sex) + 2 (Eth) + 3 (Fam) + 2 (Act) + 4 (Waist) = 18
ausdrisk_score(50, "male", 1, 1, 0, 0, 0, 1, 0, 95)

# Example 2: Low Risk
# 30yo Female, No risk factors
# Score = 0
ausdrisk_score(30, "female", 0, 0, 0, 0, 0, 1, 1, 70)