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Glycemic load accounts for how much carbohydrate is in the food and how much each gram of carbohydrate in the food raises blood glucose levels. Glycemic load is based on the glycemic index (GI), and is calculated by multiplying the weight of available carbohydrate in the food (in grams) by the food's glycemic index, and then dividing by 100.
The glycemic index of a food is defined as the incremental area under the two-hour blood glucose response curve following a 12-hour fast and ingestion of a food with a certain quantity of available carbohydrate (usually 50 g). The AUC of the test food is divided by the AUC of the standard (either glucose or white bread, giving two different ...
A RQ near 0.7 indicates that fat is the predominant fuel source, a value of 1.0 is indicative of carbohydrate being the predominant fuel source, and a value between 0.7 and 1.0 suggests a mix of both fat and carbohydrate. [6] In general a mixed diet corresponds with an RER of approximately 0.8. [7]
Holt et al. [1] have noted that the glucose and insulin scores of most foods are highly correlated, [2] but high-protein foods and bakery products that are rich in fat and refined carbohydrates "elicit insulin responses that were disproportionately higher than their glycemic responses." They also conclude that insulin indices may be useful for ...
Carbohydrate counting or "carb" counting is a meal planning tool used in diabetes management to help optimize blood sugar control. [1] It can be used with or without the use of insulin therapy. Carbohydrate counting involves determining whether a food item has carbohydrate followed by the subsequent determination of how much carbohydrate the ...
Despite widely variable intervals between meals or the occasional consumption of meals with a substantial carbohydrate load, human blood glucose levels tend to remain within the normal range. However, shortly after eating, the blood glucose level may rise, in non-diabetics, temporarily up to 7.8 mmol/L (140 mg/dL) or slightly more.
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Numerous large studies have demonstrated that eating ultraprocessed food has a positive dose-dependent relationship with both abdominal obesity and general obesity in both men and women. [27] Consuming a diet rich in unprocessed and minimally processed foods is linked with lower obesity risk and less chronic disease.