Prediabetes is a condition associated with increased blood sugar levels that increases a patient’s risk for future type 2 diabetes and other chronic illnesses.1 While the United States Preventive Services Task Force (USPSTF) screening guidelines recommend beginning prediabetes screening at age 35,2 earlier screening is recommended by the American Diabetes Association when there is increased risk such as obesity or family history.3
We aimed to understand trends in HbA1c testing and prediabetes among teenage patients. We studied 18,182,111 teens aged 13–18 who had at least one healthcare visit between Q1 2018 and Q1 2025, with 1,000,628 receiving an HbA1c test.
We found that HbA1c testing rates have increased since 2018. In the first quarter of 2018, 1.4% of male teens had their HbA1c tested, compared to 2.2% in the first quarter of 2025, as seen in Figure 1. Similarly, the HbA1c testing rate for female teens rose from 1.4% to 2.5% over the same period. Rising testing rates may indicate that there are more teens considered at increased risk of developing diabetes. It may also indicate better screening of teens who are at increased risk.
Over the study period, the proportion of HbA1c tests for male teens that met prediabetic HbA1c thresholds (5.7–6.4%) rose from 14% in the first quarter of 2018 to 16% in the first quarter of 2025. HbA1c tests for female teens, on the other hand, had steady positivity rates of around 12% in the same period.
Because testing rates have increased, the absolute incidence of newly identified prediabetic-level HbA1c results has also risen, as shown in Figure 3. Among male teens, 19 per 10,000 had a prediabetic HbA1c in the first quarter of 2018, compared to 35 per 10,000 in the first quarter of 2025—an 84% increase. For female teens, the incidence rose from 16 to 28 per 10,000 over the same period, marking a 75% increase.
Previous research shows that obesity is a strong modifiable risk factor for insulin resistance in youth, so we stratified teens with a prediabetic HbA1c by their BMI classification.4 We found that more than half had a BMI classifying them as obese, while an additional roughly 10% were classified as overweight. These proportions were consistent across patient sex and time.