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These studies suggest that non-fasting glucose levels are an independent predictor of coronary heart disease and are associated with various health outcomes, including cognitive function and cardiovascular risk.
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Non-fasting glucose levels have been identified as significant predictors of coronary heart disease (CHD). A study involving 7,332 participants from the Circulatory Risk in Communities Study (CIRCS) found that non-fasting glucose concentrations were independently associated with an increased risk of incident CHD. Specifically, individuals with diabetic-level glucose concentrations (≥11.1 mmol/L) had higher hazard ratios (HRs) for CHD and myocardial infarction compared to those with normal glucose levels. The HRs for CHD were 1.98 for men, 3.39 for women, and 2.47 for the total population, indicating a substantial risk increase.
Research comparing fasting and non-fasting glucose levels has shown that both can predict the risk of diabetes and CHD, but their predictive power may vary. In a study of 2,619 middle-aged Turkish adults, impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) were both significant predictors of diabetes. However, only IGT was independently associated with CHD risk, particularly in women (HR 3.74). This suggests that while fasting glucose levels are crucial for diabetes prediction, non-fasting glucose levels might be more relevant for assessing CHD risk.
Elevated fasting glucose levels have been linked to lower cognitive function, particularly in diabetic individuals. A study involving Japanese men found that higher fasting glucose levels were associated with lower scores on the Cognitive Ability Screening Instrument (CASI). Interestingly, in non-diabetic men, a reverse U-shaped relationship was observed, with optimal cognitive performance at fasting glucose levels between 3.97 and 6.20 mmol/L. This indicates that both very high and very low glucose levels can negatively impact cognitive function.
Prolonged fasting can significantly alter glucose metabolism. A cohort trial examining the effects of 12-hour and 36-hour fasting periods found that fasting glucose, insulin, and C-peptide levels were significantly lower after 36 hours. Non-obese participants showed higher glucose levels but lower insulin levels after 36 hours of fasting, indicating improved insulin sensitivity. However, these changes were less pronounced in obese participants and those with type 2 diabetes. This suggests that prolonged fasting may have different metabolic impacts depending on an individual's baseline health status.
A meta-regression analysis of 20 studies involving 95,783 individuals found a progressive relationship between glucose levels and cardiovascular risk, extending below the diabetic threshold. For instance, fasting glucose levels of 6.1 mmol/L and 2-hour glucose levels of 7.8 mmol/L were associated with increased relative risks of cardiovascular events (1.33 and 1.58, respectively) compared to lower glucose levels. This underscores the importance of monitoring glucose levels even in non-diabetic individuals to mitigate cardiovascular risks.
Non-fasting glucose levels are crucial indicators of various health risks, including coronary heart disease and cognitive decline. While fasting glucose levels are essential for diabetes prediction, non-fasting levels provide additional insights into cardiovascular and cognitive health. Prolonged fasting can improve insulin sensitivity, but its effects vary among different populations. Monitoring both fasting and non-fasting glucose levels can offer a comprehensive understanding of an individual's metabolic health and associated risks.
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