Correlation Between Mortality and BMI With Diabetes Status

Share this content:
Worsening diabetes status and higher mortality was stronger with lower BMI, particularly at younger ages.
Worsening diabetes status and higher mortality was stronger with lower BMI, particularly at younger ages.

HealthDay News — The correlation between body mass index (BMI) and mortality is U-shaped, with the optimal BMI for lowest mortality increasing with worsening diabetes status, according to a study published online in Diabetes Care.

Eun Young Lee, from The Catholic University of Korea in Seoul, and colleagues prospectively monitored 12,815,006 adults until 2013 to examine the correlation between BMI and mortality in individuals with normoglycemia, impaired fasting glucose (IFG), newly diagnosed diabetes, and prevalent diabetes.

The researchers found that 454,546 men and 239,877 women died during a mean follow-up period of 10.5 years. Regardless of diabetes status, sex, age, and smoking history, there were U-shaped associations. For the lowest mortality, the optimal BMI (kg/m²) was 23.5 to 27.9 for normoglycemia, 25 to 27.9 for IFG, 25 to 29.4 for newly diagnosed diabetes, and 26.5 to 29.4 for prevalent diabetes. 

In younger ages, especially in women, higher optimal BMI by worsening diabetes status was more prominent. Especially at younger ages, the correlation between worsening diabetes status and higher mortality was stronger with lower BMI. Patients with prevalent diabetes had higher mortality than those with newly diagnosed diabetes given the same BMI; this was more prominent among women than men.

"U-curve relationships existed regardless of diabetes status," the authors wrote. "Optimal BMI for lowest mortality became gradually higher with worsening diabetes at each sex and age."

Reference

Lee EY, Lee Y-h, Yi S-W, Shin S-A, Yi J-J. BMI and all-cause mortality in normoglycemia, impaired fasting glucose, newly diagnosed diabetes, and prevalent diabetes: a cohort study [published online April 11, 2017]. Diabetes Care. doi:10.2337/dc16-1458

You must be a registered member of Endocrinology Advisor to post a comment.

Sign Up for Free e-Newsletters