The interest in the concept of gender-based medicine rather than the "one size fits all" is accelerating in its pace nowadays. A recent scientific report published in Nature revealed that type 2 diabetes (T2D) is more predictable in women than in men through anthropometric and biochemical parameters.

      The study recruited 1579 participants, grouped them by sex and compared the prediction efficiency of common parameters of type 2 diabetes in both sexes. The results from the study revealed that HbA1c is associated with Fasting Plasma Glucose (FPG) which is stronger in women than in men and the regression coefficient is higher, consistent with higher prediction power for T2D. HbA1c was a much stronger predictor of T2D in women than in men (0.89 ± 0.02 vs. 0.80 ± 0.03, P < 0.001) and in contrast, FPG has no difference in predicting T2D in men and women. The study also revealed that age, waist circumference, and BMI has a strong association with FPG and HbA1c in women than in men. The linear regression demonstrated that both systolic and diastolic blood pressure influence FPG and HbA1c stronger in women than in men.

      The study concluded that the anthropometric and biochemical measures such as the age, waist circumference, BMI, systolic and diastolic blood pressure, triglyceride levels, total cholesterol, LDL, HDL, fasting insulin, and proinsulin levels all predict T2D better in women than men, suggesting the importance of sex-based subgroup analysis in type 2 diabetes research.