Continuous Glucose Patterns Linked to Heart Risk Markers in Non-Diabetics
A Boston University team studied about 1,300 Framingham Heart Study participants who did not have diabetes or cardiovascular disease. Higher average glucose and more time above 140 mg/dL were linked to greater odds of high blood pressure and differences in cholesterol. Because the analysis was cross-sectional, it could not show whether these glucose patterns predict future disease; the results appeared in Diabetes Care.
Boston University researchers studied continuous glucose readings from about 1,300 Framingham Heart Study adults without diabetes or cardiovascular disease. They compared average sugar, variability, and time above 140 mg/dL with blood pressure and cholesterol. Higher average glucose and longer periods above that cutoff tracked with greater odds of elevated blood pressure and lipid differences. Results appeared in Diabetes Care.
Since data came from one time point, the study cannot show whether these patterns predict later disease. Standard fasting glucose and HbA1c tests miss daily fluctuations, whereas continuous monitoring captures them. In non-diabetic people, such readings might help researchers identify distinct dysglycemia patterns, but more work is needed before risk assessment.
For adults without diabetes, CGM-derived insights could shift attention toward early metabolic signals that standard tests miss. Clinicians and researchers may use such patterns to identify people at higher risk, while consumers might seek monitors for wellness. However, without evidence that these readings predict outcomes, broader use could prompt anxiety, unnecessary follow-up, or unequal access. Its societal effect may depend on clearer guidance and validation.