Diabetes and prediabetes risk
Peruvian Diabetes Risk Score
A three-question score built from a national health survey in Peru to spot adults aged 35 and older who may have type 2 diabetes without knowing it. No blood test, no weight and no height needed: just your age, your waist and your family history. You get your score out of 4, whether it reaches the cut point of 2, and the points behind it.
Your answers
Based on the Peruvian diabetes risk score, in our own words. Nothing you enter leaves this page.
For adults aged 35 and older, the ages the score was built in.
Measure after breathing out, between your lowest rib and the top of your hip bone, usually at the navel.
What you will see
Your Peruvian diabetes risk score out of 4, whether it reaches the cut point of 2 and the points behind it.
Educational only, not medical advice. A risk score, not a diagnosis.
Source
Bernabe-Ortiz A et al., Journal of Diabetes Research 2016 (open access): points from Table 2 of the paper, the range of 0 to 4 and the cut point of 2.
Validated in
Built in 2,472 adults aged 35 and older without known diabetes from Peru's national survey of nutritional and biochemical indicators for noncommunicable diseases (2004 to 2005), covering Lima, the rest of the coast, the highlands and the jungle. Checked in 2,945 adults aged 35 and older from the CRONICAS cohort in Lima, Puno and Tumbes, both at the start and about 2.5 years later. Diabetes was found with a fasting blood sugar of 7.0 mmol/L (126 mg/dL) or higher.
Limits
The score looks for diabetes you may already have; it does not diagnose. It was built and checked only in Peru, and the authors say it needs further checks before use in other populations. Its accuracy was moderate (area under the curve 0.68 in the check group). Only fasting glucose was used, with no A1C or glucose tolerance test, so some diabetes was likely missed. People already diagnosed with diabetes, and people under 35, should not use it.
The points
| Factor | Answer | Points |
|---|---|---|
| Age | 35 to 54 / 55 or older | 0 / 1 |
| Diabetes in a parent, brother, sister or child | No / yes | 0 / 1 |
| Waist (women and men) | Under 90 cm / 90 to 99.9 cm / 100 cm or more | 0 / 1 / 2 |
Points from Table 2 of the paper. The authors kept the three factors that stayed linked to undiagnosed diabetes in their statistical model and turned each weight into a whole number, giving a score from 0 to 4 (Bernabe-Ortiz 2016). Family history meant diabetes in a first-degree relative. The same waist cut points are used for women and men (Bernabe-Ortiz 2016). Sex, smoking, alcohol, physical activity, BMI and high blood pressure were tested and left out (Bernabe-Ortiz 2016). One inch is 2.54 cm.
Example: a 58-year-old with a waist of 92 cm and no family history scores 1 (age) + 1 (waist) = 2, at the cut point.
What the score means
The authors chose 2 as the cut point because it best balanced finding people with diabetes against flagging people without it. In the survey the score was built from, a score of 2 or more picked up 70% of adults with undiagnosed diabetes, and 66% of those without diabetes scored under 2. In the separate CRONICAS check group the figures were 70% and 59% (Bernabe-Ortiz 2016). Because undiagnosed diabetes was uncommon (2.0% and 2.9% of adults in the two studies), only about 4% to 5% of people scoring 2 or more turned out to have it (Bernabe-Ortiz 2016).
A lower cut point of 1 found 94% of cases in the building survey but flagged about 70% of all adults (Bernabe-Ortiz 2016). In the CRONICAS follow-up, the score also picked up about 69% of people who went on to develop diabetes over about 2.5 years (area under the curve 0.66) (Bernabe-Ortiz 2016).
Peruvian score, FINDRISC or the US test?
All of these ask about age, body size and family history, but they were built in different places. The Peruvian score is the shortest: three questions, with waist instead of BMI, built in Peru's coast, highlands and jungle (Bernabe-Ortiz 2016). The FINDRISC calculator comes from Finland and predicts diabetes over 10 years (Lindström 2003), the US type 2 diabetes risk test was built in US survey data (Bang 2009), and the Japanese diabetes risk score predicts diabetes over 3 years in Japanese workers (Nanri 2015). In the Peruvian check group, the Peruvian score did as well as or better than the six other published scores the authors compared it with, while asking fewer questions (Bernabe-Ortiz 2016). Pick the one built closest to where you live and who you are.
What to do with your result
A score of 2 or more is a reason to ask your doctor about a blood sugar test such as an A1C, a fasting glucose or a glucose tolerance test. A score under 2 does not rule diabetes out. In the US, the US Preventive Services Task Force recommends screening for prediabetes and type 2 diabetes in adults aged 35 to 70 who have overweight or obesity (USPSTF 2021), whatever any risk score says.
See also the Japanese diabetes risk score, the Korean diabetes risk score, the Chinese Diabetes Risk Score, the Indian Diabetes Risk Score, the FINDRISC calculator, the type 2 diabetes risk test, when to get tested for diabetes, prediabetes ranges and next steps and the waist circumference check.
Sources
- Bernabe-Ortiz A, Smeeth L, Gilman RH, Sanchez-Abanto JR, Checkley W, Miranda JJ; CRONICAS Cohort Study Group. Development and validation of a simple risk score for undiagnosed type 2 diabetes in a resource-constrained setting. J Diabetes Res. 2016;2016:8790235. doi:10.1155/2016/8790235. PMID 27689096. pmc.ncbi.nlm.nih.gov/articles/PMC5027039/
- US Preventive Services Task Force. Screening for Prediabetes and Type 2 Diabetes: Recommendation Statement. JAMA. 2021;326(8):736-743. www.uspreventiveservicestaskforce.org/uspstf/recommendation/screening-for-prediabetes-and-type-2-diabetes
- Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-731. PMID 12610029. pubmed.ncbi.nlm.nih.gov/12610029/
- Bang H, Edwards AM, Bomback AS, et al. Development and validation of a patient self-assessment score for diabetes risk. Ann Intern Med. 2009;151(11):775-783. doi.org/10.7326/0003-4819-151-11-200912010-00005
- Nanri A, Nakagawa T, Kuwahara K, et al. Development of risk score for predicting 3-year incidence of type 2 diabetes: Japan Epidemiology Collaboration on Occupational Health Study. PLoS One. 2015;10(11):e0142779. doi:10.1371/journal.pone.0142779. PMID 26558900. Correction: PLoS One. 2018;13(6):e0199075 (corrected Table 5). pmc.ncbi.nlm.nih.gov/articles/PMC4641714/
Written and maintained by the uncovermyrisk.com editorial team. We do not have a medical reviewer; every claim links to its primary source above. Last reviewed: 2026-11-01. Spotted an error? See About.