Check prediabetes screening risk with flexible inputs. See risk bands, lab flags, and next steps. Save results neatly for tracking and provider conversations later.
Large screens show three columns, medium screens show two, and small screens stack into one column.
| Profile | Age | BMI | A1C | Fasting Glucose | Activity | Typical Outcome |
|---|---|---|---|---|---|---|
| Active adult, no family history | 32 | 23.4 | 5.4% | 92 | Yes | Low screening risk |
| Middle-age, overweight, inactive | 47 | 28.8 | 5.8% | 104 | No | Mild to moderate risk |
| Multiple risk factors with abnormal labs | 56 | 33.2 | 6.1% | 117 | No | High screening risk |
| Severely elevated lab entry | 61 | 35.6 | 6.7% | 131 | No | Flagged for urgent review |
1) BMI: BMI = weight (kg) ÷ [height (m)]²
2) CDC-style score: Add points from age, sex at birth, gestational diabetes history, family history, blood pressure history, physical inactivity, and BMI category.
3) Extra clinical modifiers: Add fixed points for high-risk waist size, PCOS, low HDL, and high triglycerides when entered.
4) Lab modifier: Use the highest point value from A1C, fasting glucose, or 2-hour glucose if those values are provided.
5) Final score: Final Score = round((CDC-style score ÷ 11 × 55) + modifier points + lab points). The result is capped between 0 and 100.
No. It is a screening support tool. Diagnosis requires proper laboratory testing, clinical judgment, and often repeat confirmation, especially when results fall in abnormal ranges.
A1C, fasting plasma glucose, and a 2-hour glucose result are the most useful. You can enter one, two, or all three. The calculator uses the strongest lab signal entered.
Waist size helps reflect abdominal fat distribution. Central adiposity often tracks with insulin resistance more closely than weight alone, so it adds context beyond BMI.
Many people know their weight and activity level but not their lipid values. Optional fields keep the tool flexible while allowing a deeper estimate when labs are available.
That is fine. Enter the details you know. Even one lab value can strengthen the estimate, while the other questions still provide useful screening context.
Age, family history, pregnancy-related history, and blood pressure can raise screening risk even when someone feels well. Prediabetes often develops without obvious symptoms.
Share the result with a clinician, especially if you entered abnormal lab values. Ask whether confirmatory testing, nutrition counseling, activity goals, or weight-loss support are appropriate.
Yes. Re-enter updated measurements over time and export the result. Tracking patterns can be useful during lifestyle changes or before follow-up appointments.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.