FINDRISC Diabetes Risk Calculator

Estimate risk of developing diabetes and frequency of screening required.

The global unit selector only affects unanswered questions
2.Patient's Weight?
3.Patient's Height?
4.How old is your patient?
5.What is your patient's waist circumference?
6.Is your patient physically active for more than 30 minutes every day?
7.How often does your patient eat vegetables and fruits?
8.Has your patient ever taken medication for high blood pressure on a regular basis?
9.Has your patient ever been found to have high blood glucose (e.g. in a health examination, during an illness, during pregnancy)?
10.Has patient's grandparent, aunt, uncle, or first cousin been diagnosed with diabetes (type 1 or type 2)?
11.Has patient's parent, brother, sister, or own child been diagnosed with diabetes (type 1 or type 2)?
Created by

1. Gender?

Created by
0/11 completed

About this Calculator

FINDRISC is a prediction tool to identify patients at risk of developing diabetes.

It requires no laboratory testing and has been validated in multiple populations. FINDRISC uses age, BMI, physical activity, vegetable & fruit intake, medical treatment of hypertension, history of hyperglycemia and family history to determine risk of developing diabetes.

By using FINDRISC to identify high-risk people and applying an educational intervention, it has been shown possible to reduce the incidence of diabetes.

A risk score of 0-14 points indicates a low to moderate risk of diabetes (1-17% chance of diabetes over 10 years).

A risk score of 15-20 points indicates a high risk of diabetes (33% chance of diabetes over 10 years).

A risk score of >20 points indicates a very high risk of diabetes (50% chance of diabetes over 10 years).


Lindström J, Tuomilehto J.

The diabetes risk score: a practical tool to predict type 2 diabetes risk.

Diabetes Care 2003, 26 (3): 725-31

Lindström J, Absetz P, Hemiö K, Peltomäki P, Peltonen M.

Reducing the risk of type 2 diabetes with nutrition and physical activity - efficacy and implementation of lifestyle interventions in Finland.

Public Health Nutrition 2010, 13 (6A): 993-9

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