Prevalence of Testing for Diabetes Among US Adults With Overweight or Obesity, 2016–2019

PEER REVIEWED

Study selection started with 10,423,543 patients with data on height and weight in the IQVIA Ambulatory Electronic Medical Records database in 2016. Next, 139,896 patients were excluded because of invalid data on height and weight and missing values on BMI. In the next step, of 10,283,647 patients with valid data on height, weight, and BMI in 2016, 7,539,511 were excluded whose records were not in the dataset for at least 2 years before their index BMI in 2016 and 3 years after their index BMI. Next, 2,744,136 patients were assessed for pre-existing diabetes, defined by using a modified SUPREME-DM algorithm for electronic medical records data; of these, 510,569 were excluded because of pre-existing diabetes. Then, 2,233,567 patients with no pre-existing diabetes were assessed for age criteria; of these, 438,588 were excluded because they were aged <40 years or >70 years in 2016. That left 1,794,979 patients aged 40–70 years with no pre-existing diabetes assessed for BMI criteria; of these, 434,884 were excluded because they were not overweight or obese (BMI < 25.0). Finally, 1,360,095 patients aged 40–70 years with no pre-existing diabetes and a BMI ≥25.0 were assessed for pregnancy; of these, 21,586 were excluded because they were pregnant women. In the final analysis, 1,338,509 patients were included.

Figure.
Flowchart for study sample selection. Data were obtained from the IQVIA (formerly known as IMS Health and Quintiles) Ambulatory Electronic Medical Records (EMR) database via the IQVIA E360 Software-as-a-Service platform (9,10). Abbreviation: BMI, body mass index.

Return to Article

Top