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ADA Type 2 Diabetes Risk Test

Identifies adults at risk for type 2 diabetes or prediabetes using a validated point-based questionnaire

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Why use it

Type 2 diabetes and prediabetes are significantly underdiagnosed — an estimated 26 million Americans have prediabetes and do not know it. Early identification and intervention (lifestyle modification, metformin) can prevent or delay progression to type 2 diabetes by up to 58% (DPP trial). The ADA Risk Test is freely available, takes under 2 minutes, and identifies who should be referred for formal HbA1c or fasting glucose testing.

About

The ADA Type 2 Diabetes Risk Test (also known as the ADA Diabetes Risk Test or NDEP Diabetes Risk Test) is a validated, point-based self-screening questionnaire developed by the American Diabetes Association to identify adults who may have undiagnosed type 2 diabetes or prediabetes. It uses seven questions covering key risk factors: age, sex, gestational diabetes history (in women), family history of diabetes, history of high blood pressure, physical activity level, and body weight category. A score of 5 or higher indicates elevated risk and the need for formal laboratory testing. The test was designed for use in community, clinic, and digital settings to increase awareness and facilitate early diagnosis.

When to use

  • Routine health assessments in adults aged ≥ 45 years
  • Adults of any age who are overweight/obese (BMI ≥ 25, or ≥ 23 for Asian Americans)
  • Adults with risk factors for diabetes (family history, gestational diabetes, high blood pressure)
  • Community-based diabetes screening programs
  • Before prescribing medications that increase diabetes risk (corticosteroids, antipsychotics)

Formula

Total points from 7 questions: 1. Age (0–3 pts) 2. Sex (0–1 pt) 3. Gestational diabetes, if female (0–1 pt) 4. Family history of diabetes (0–1 pt) 5. High blood pressure (0–1 pt) 6. Physical activity (0–1 pt) 7. Body weight by BMI category (0–3 pts) Score < 5: Lower risk Score ≥ 5: At risk — recommend formal testing

Pearls & pitfalls

  • A score ≥ 5 has a sensitivity of ~79% and specificity of ~60% for identifying undiagnosed type 2 diabetes or prediabetes.
  • The ADA recommends screening all adults ≥ 35 with BMI ≥ 25 (or ≥ 23 in Asian Americans) regardless of score.
  • Gestational diabetes (even if resolved) increases lifetime risk of type 2 diabetes by 7× — this alone may warrant screening.
  • Physical inactivity (< 3 sessions of moderate exercise per week) is a modifiable risk factor — emphasize regardless of score.
  • Asian Americans may have elevated diabetes risk at lower BMI cutoffs (23 vs. 25 kg/m²) due to differences in body fat distribution.
  • The test does not screen for type 1 diabetes, MODY, or secondary diabetes (drug-induced, pancreatic).
  • A negative test does not exclude diabetes — follow-up based on clinical judgment and ongoing risk factors.

Next steps

Score ≥ 5: Elevated risk — refer for formal diabetes screening with fasting glucose, 2-hour glucose tolerance test, or HbA1c. Prediabetes: FPG 100–125 mg/dL, HbA1c 5.7–6.4%. Type 2 diabetes: FPG ≥ 126, HbA1c ≥ 6.5%. Score < 5: Lower risk — re-screen in 3 years or if new risk factors emerge. Regardless of score: counsel on lifestyle modification (healthy diet, physical activity) and weight management.

Evidence

Derived and validated by the NDEP (National Diabetes Education Program) and ADA using data from NHANES and other population studies. The 2019 update incorporated updated evidence on risk factors. ADA Standards of Medical Care in Diabetes (2023) recommends risk-based screening using this or equivalent tools. The Diabetes Prevention Program (DPP, NEJM 2002) demonstrated that identifying and treating prediabetes reduces progression to type 2 diabetes by 58% with lifestyle modification.

References

  1. American Diabetes Association. Standards of Medical Care in Diabetes — 2023. Diabetes Care. 2023;46(Suppl 1). — link
  2. Knowler WC et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin (DPP). N Engl J Med. 2002;346(6):393-403. — link
  3. Herman WH et al. A clinical information system-based diabetes risk score. J Diabetes Sci Technol. 2012;6(5):1186-1189. — link