"Cut carbs." "Eat complex carbs." "Avoid sugar." "Whole grains are healthy."
You have heard all of it. And if you have tried any of it without a clear framework, you have probably felt confused — because the advice contradicts itself depending on who is giving it, and it almost never tells you why.
The Glycemic Index and Glycemic Load are the most practical scientific tools available for understanding what carbohydrates actually do to your body. Not in theory. Not in a lab. In real life, meal by meal.
This guide is an A-to-Z walkthrough. By the end of it, you will know:
No shortcuts. Let's go.
In 1981, Dr. David Jenkins and his colleagues at the University of Toronto published a paper in the American Journal of Clinical Nutrition that changed how nutritionists thought about carbohydrates (Jenkins, David J. A. and Wolever, Thomas M. S. and Taylor, Richard H. and Barker, Helen and Fielden, Hasib and Baldwin, Janet M. and Bowling, Ann C. and Newman, Helen C. and Jenkins, Alexandra L. and Goff, David V., 1981).
At the time, the conventional wisdom was simple: sugars are fast, starches are slow. Sweet foods spike blood sugar; starchy foods are "complex" and therefore safer.
Jenkins and his team tested this assumption directly. They fed test subjects different carbohydrate-containing foods and measured blood glucose responses over two hours. The results dismantled the conventional model.
Bread — a starch, supposedly "complex" — spiked blood glucose nearly as fast as pure glucose. Lentils — also a starch — barely moved the needle. Fructose (fruit sugar) had a surprisingly low blood glucose response.
The old categories of "simple" and "complex" carbohydrates were physiologically meaningless. What mattered was the measured response in the body — not the chemical classification of the food.
Jenkins called this measure the Glycemic Index.
The Glycemic Index is not a chemical property of food. It is a biological measurement of human response (Wolever, Thomas M. S. and Jenkins, David J. A. and Jenkins, Alexandra L. and Josse, Robert G., 1991).
To measure the GI of a food, researchers follow a standardized protocol:
The result is expressed as a percentage of the glucose response. A food with GI 50 produces half the blood glucose rise of pure glucose for the same amount of carbohydrate.
This is why GI values include confidence intervals — they are averages across multiple people, and individual responses vary. The methodology is well-established and internationally standardized (Augustin, Livia S. A. and Kendall, Cyril W. C. and Jenkins, David J. A. and Willett, Walter C. and Astrup, Arne and Barclay, Alan W. and Björck, Inger and Brand-Miller, Janette C. and Brighenti, Furio and Buyken, Anette E. and Ceriello, Antonio and La Vecchia, Carlo and Livesey, Geoffrey and Liu, Simin and Riccardi, Gabriele and Rizkalla, Salwa W. and Sievenpiper, John L. and Trichopoulou, Antonia and Wolever, Thomas M. S. and Baer-Sinnott, Sylvia and Poli, Andrea, 2015).
| Category | GI Range | What It Means |
|---|---|---|
| Low GI | 55 or below | Slow glucose release, sustained energy, lower insulin demand |
| Medium GI | 56 to 69 | Moderate response, context-dependent |
| High GI | 70 and above | Fast glucose spike, rapid insulin response, potential crash |
The reference point (glucose = 100) is sometimes replaced with white bread (also = 100) in older literature. This creates confusion when comparing values across studies. The modern standard uses glucose as the reference (Atkinson, Fiona S. and Foster-Powell, Kaye and Brand-Miller, Janette C., 2008).
GI tells you the speed of glucose release per gram of carbohydrate. It does not tell you how much carbohydrate is in a realistic portion.
This distinction matters enormously. Consider watermelon.
Watermelon has a GI of 76 — high GI, on paper alarming.
But a standard serving of watermelon is mostly water. That serving contains only about 6 grams of available carbohydrate. The actual blood glucose impact is minimal.
Meanwhile, white pasta has a GI of 49 — technically low GI, seemingly safe. But a typical pasta serving contains 40-50 grams of carbohydrate. The total blood glucose impact is substantial.
GI without portion context is half the picture.
Glycemic Load was introduced to correct GI's limitation by incorporating portion size (Salmeron, Jorge and Manson, JoAnn E. and Stampfer, Meir J. and Colditz, Graham A. and Wing, Alicia L. and Willett, Walter C., 1997).
The formula is straightforward:
\[ GL = \frac{GI \times \text{grams of available carbohydrate per serving}}{100} \]Available carbohydrate = total carbohydrate minus fiber. Fiber does not raise blood glucose — it is subtracted from the calculation.
| Category | GL Range | Practical Meaning |
|---|---|---|
| Low GL | 10 or below | Minimal blood glucose impact |
| Medium GL | 11 to 19 | Moderate impact |
| High GL | 20 and above | Significant blood glucose impact |
Daily total GL targets (for reference, not prescription):
| Food | GI | Serving (g) | Available Carbs (g) | GL | Verdict |
|---|---|---|---|---|---|
| Watermelon | 76 | 150 | 6 | 5 | Low GL despite high GI |
| White pasta | 49 | 200 cooked | 40 | 20 | High GL despite low GI |
| Sweet potato (boiled) | 63 | 150 | 18 | 11 | Medium GL |
| Lentils | 32 | 150 | 18 | 6 | Low GL |
| White rice | 73 | 150 | 40 | 29 | High GL |
| Apple | 36 | 120 | 14 | 5 | Low GL |
| Dates (3 pieces) | 42 | 24 | 16 | 7 | Low GL in small portion |
The takeaway: use GL, not GI, to make food decisions. GI is the foundation. GL is the application.
Understanding this mechanism explains every GI/GL recommendation that follows (Ludwig, David S., 2002).
When you eat carbohydrates, your digestive system breaks them down to glucose, which enters the bloodstream. Your pancreas responds by releasing insulin — the hormone that moves glucose from the blood into cells (muscle, liver, fat) for use or storage.
High-GL meal:
Large glucose spike → large insulin surge → rapid glucose clearance → blood glucose drops below baseline → hunger signal fires → you eat again → caloric surplus → fat storage
Low-GL meal:
Gradual glucose rise → measured insulin response → stable blood glucose → satiety hormones active for longer → natural hunger signal → you eat when genuinely hungry
The physiological difference between these two cycles is not minor. The hunger triggered by a high-GL meal is not a failure of willpower. It is a hormonal signal generated by your own biology in response to the food you ate.
High-GL eating patterns do not make you fat because you lack discipline. They make you fat because they make you genuinely hungry more often than your body actually needs food (Brand-Miller, Janette C. and Holt, Susanna H. A. and Pawlak, David B. and McMillan, Joanna, 2002).
Worth noting: different foods trigger different insulin responses even with similar blood glucose profiles. Dairy, for example, has a low GI but a surprisingly high insulin demand (Holt, Susanna H. A. and Miller, Janette C. Brand and Petocz, Peter, 1997).
For most people eating mixed meals, the GI and GL framework provides sufficient guidance. The insulin index is useful for those managing insulin resistance or diabetes specifically.
This is the section most guides skip — and it is the most practically useful. The GI of a food is not fixed. It changes based on how the food is prepared, combined, and consumed.
Heat and water disrupt the starch granule structure, increasing digestibility and GI.
| Food | Raw/Minimal | Cooked/Processed | GI Change |
|---|---|---|---|
| Sweet potato | ~50 boiled | ~94 baked | +44 |
| Pasta | ~40 al dente | ~55 overcooked | +15 |
| Oats | ~42 steel cut | ~79 instant | +37 |
| Potato | ~78 boiled | ~87 mashed | +9 |
Practical rule: Shorter cooking time = lower GI. Al dente pasta, boiled rather than baked sweet potato, steel cut rather than instant oats.
When cooked starchy foods are cooled, a portion of the digestible starch converts to resistant starch — a form that behaves like fiber and is not broken down in the small intestine (Higgins, Janine A., 2004).
| Food | Hot (freshly cooked) | Cooled and reheated | GI Reduction |
|---|---|---|---|
| White rice | ~73 | ~53 | ~27% lower |
| Potato | ~78 | ~56 | ~28% lower |
| Pasta | ~49 | ~43 | ~12% lower |
Practical rule: Rice and potato cooked the day before and reheated have meaningfully lower GI than freshly cooked hot servings. Meal prep has metabolic benefits beyond convenience.
The finer a grain is ground, the more surface area is exposed to digestive enzymes, and the faster glucose is released.
This is why "whole wheat bread" has nearly the same GI as white bread (74 versus 75) (Atkinson, Fiona S. and Foster-Powell, Kaye and Brand-Miller, Janette C., 2008). The grain is whole, but it has been ground into flour — particle size is the dominant variable, not the grain's original fiber content.
Intact grains (steel-cut oats, whole barley, bulgur, freekeh) have substantially lower GI than their flour equivalents.
As fruit ripens, starch converts to sugar, raising GI.
| Fruit | GI (unripe/firm) | GI (ripe/soft) |
|---|---|---|
| Banana | ~30 (green) | ~62 (ripe yellow) |
| Mango | ~41 (firm) | ~60 (soft) |
Practical rule: Buy fruit slightly underripe and eat it before it softens fully if managing blood glucose is a priority.
Soluble fiber — found in oats, legumes, apples, and psyllium — forms a viscous gel in the digestive tract that slows glucose absorption.
This is the primary reason legumes have such low GI despite being high in carbohydrates. It is also why rolled oats (GI ~55) behaves very differently from rice (GI ~73) despite both being grains.
High-fiber foods slow everything down. This is physiologically protective and satiating.
Fat and protein slow gastric emptying — the rate at which food leaves your stomach and enters your small intestine (Wolever, Thomas M. S. and Jenkins, David J. A., 1986).
A carbohydrate eaten alone spikes faster than the same carbohydrate eaten with protein and fat.
| Scenario | GI Impact |
|---|---|
| White bread alone | High |
| White bread + olive oil | Moderate |
| White bread + egg + olive oil | Lower still |
| Hummus on bread | Lower than bread alone |
Practical rule: Never eat high-GI carbs in isolation. Adding fat and protein to any meal reduces the effective glycemic response. A date eaten alone hits differently than a date eaten after a meal containing protein and fat.
Acidic foods slow gastric emptying and starch digestion, reducing GI by up to 30-35%.
Practical rule: Lemon on salad is not just flavor. The acidity slows glucose release from everything eaten alongside it.
Starch exists in two forms:
Basmati rice has more amylose than standard white rice — which is why it has a GI of ~58 compared to ~73 for standard white rice. Waxy rice varieties (glutinous/sticky rice) are almost pure amylopectin — very high GI (~98).
This factor is largely outside your control as a consumer, but it explains why "rice is high GI" is not a universal statement.
Primary source: Atkinson, Foster-Powell & Brand-Miller (2008) (Atkinson, Fiona S. and Foster-Powell, Kaye and Brand-Miller, Janette C., 2008, Foster-Powell, Kaye and Holt, Susanna H. A. and Brand-Miller, Janette C., 2002)
GI uses glucose as reference food (glucose = 100). GL calculated per standard serving size. Values marked (*) are estimated — no direct peer-reviewed measurement available.
| Food | GI | Serving (g) | GL | Category |
|---|---|---|---|---|
| Cornflakes | 81 | 30 | 20 | High |
| White rice (boiled) | 73 | 150 | 29 | High |
| White bread | 75 | 30 | 11 | High |
| Instant oats | 79 | 250 cooked | 21 | High |
| Whole wheat bread | 74 | 30 | 9 | High |
| Pita bread (white) | 68 | 30 | 10 | Medium |
| Couscous | 65 | 150 | 23 | Medium |
| Brown rice | 68 | 150 | 16 | Medium |
| Sourdough (long fermented) | 54 | 30 | 8 | Low |
| Rolled oats (cooked) | 55 | 250 | 13 | Low |
| Quinoa | 53 | 150 | 13 | Low |
| Pasta, white (al dente) | 49 | 180 | 24 | Low |
| Buckwheat | 51 | 150 | 16 | Low |
| Steel cut oats | 42 | 250 | 11 | Low |
| Bulgur wheat (boiled) | 47 | 150 | 12 | Low |
| Freekeh (boiled) | 43* | 150 | 11* | Low |
| Rye bread (whole grain) | 41 | 30 | 8 | Low |
| Barley (boiled) | 28 | 150 | 9 | Low |
| Food | GI | Serving (g) | GL | Category |
|---|---|---|---|---|
| Broad beans (fava, boiled) | 40* | 150 | 9* | Low |
| Green peas | 51 | 80 | 4 | Low |
| Chickpeas (boiled) | 28 | 150 | 8 | Low |
| Lentils, green (boiled) | 32 | 150 | 5 | Low |
| Lentils, red (boiled) | 26 | 150 | 5 | Low |
| Black beans | 30 | 150 | 7 | Low |
| Kidney beans | 24 | 150 | 7 | Low |
| Soybeans | 16 | 150 | 1 | Low |
| Hummus | 6 | 30 | 0 | Low |
| Food | GI | Serving (g) | GL | Category |
|---|---|---|---|---|
| White potato (baked) | 85 | 150 | 26 | High |
| White potato (mashed) | 87 | 150 | 17 | High |
| White potato (boiled) | 78 | 150 | 15 | High |
| Pumpkin (boiled) | 75 | 80 | 3 | High GI, Low GL |
| Beetroot (boiled) | 64 | 80 | 5 | Medium GI, Low GL |
| Sweet potato (boiled) | 63 | 150 | 11 | Medium |
| Sweet potato (baked) | 94 | 150 | 17 | High |
| Sweet corn (boiled) | 52 | 80 | 9 | Low |
| Carrots (boiled) | 39 | 80 | 2 | Low |
| Non-starchy vegetables | <15 | Unlimited | <1 | Low |
Non-starchy vegetables include: broccoli, cucumber, tomato, lettuce, spinach, eggplant, zucchini, peppers, onion, garlic, mushrooms, cabbage, asparagus.
| Food | GI | Serving (g) | GL | Category |
|---|---|---|---|---|
| Watermelon | 76 | 150 | 5 | High GI, Low GL |
| Banana (ripe) | 62 | 120 | 16 | Medium |
| Grapes | 59 | 120 | 11 | Medium |
| Mango | 51 | 120 | 8 | Low |
| Kiwi | 53 | 120 | 6 | Low |
| Orange | 43 | 120 | 5 | Low |
| Dates (dried) | 42 | 60 | 18 | Low GI, Medium GL |
| Apple | 36 | 120 | 6 | Low |
| Pear | 38 | 120 | 4 | Low |
| Strawberries | 40 | 150 | 1 | Low |
| Blueberries | 34 | 150 | 6 | Low |
| Cherries | 22 | 120 | 3 | Low |
| Grapefruit | 25 | 120 | 3 | Low |
Note on dates: Per 60g (roughly 4-5 dates), GL reaches medium range. In small amounts (2-3 dates), GL stays low. Traditional portions are well within the safe range (Atkinson, Fiona S. and Foster-Powell, Kaye and Brand-Miller, Janette C., 2008).
| Food | GI | Serving (g/ml) | GL | Category |
|---|---|---|---|---|
| Full fat milk | 39 | 250 | 5 | Low |
| Skim milk | 37 | 250 | 4 | Low |
| Plain yogurt (full fat) | 35 | 200 | 3 | Low |
| Labneh | ~30* | 100 | ~2* | Low |
| Ice cream (full fat) | 57 | 50 | 6 | Medium GI, Low GL |
| Food | GI | GL | Note |
|---|---|---|---|
| All meats (chicken, lamb, beef, fish) | 0 | 0 | No carbohydrates |
| Eggs | 0 | 0 | No carbohydrates |
| Olive oil | 0 | 0 | Pure fat |
| Nuts (almonds, walnuts) | 0-15 | 0-1 | Negligible carbs |
| Cheese (all types) | 0 | 0 | Negligible carbs |
| Flour | GI | Practical Use |
|---|---|---|
| White wheat flour | ~85 | Reference — what you are replacing |
| Almond flour | ~5 | Baked goods — very crumbly, needs binder |
| Chickpea flour (besan) | ~39 | Savory dishes, flatbreads, pancakes |
| Oat flour | ~55 | Closest texture to regular flour |
| Whole spelt flour | ~52 | Lower than wheat, handles similarly |
| Almond + oat flour (50/50) | ~30 | Best balance of texture and GI |
The goal is not to memorize every number in the tables above. The goal is to develop a reliable instinct for food choices that is grounded in evidence.
Here is how to build that.
Before eating a carbohydrate, replace the question "Is this healthy?" with:
"Will this spike me and leave me hungry in two hours, or will it release slowly and hold me?"
This is a more honest question, and it points directly to GL.
Build your personal food list in three categories:
Green Light — Eat Freely: Foods with low GL per realistic serving. These are your foundation.
Yellow Light — Portion Awareness: Foods with moderate GL — fine in controlled portions, problematic in excess.
Red Light — Minimize or Remove: Foods with high GL in typical servings.
Before writing off or green-lighting any food, apply the 8 modifiers from Part 5:
A bowl of rice eaten hot and alone is a different metabolic event than the same rice eaten cold and reheated alongside salmon, olive oil, and a lemon-dressed salad.
GI and GL values are population averages. Individual responses vary significantly based on gut microbiome composition, insulin sensitivity, and personal physiology (Augustin, Livia S. A. and Kendall, Cyril W. C. and Jenkins, David J. A. and Willett, Walter C. and Astrup, Arne and Barclay, Alan W. and Björck, Inger and Brand-Miller, Janette C. and Brighenti, Furio and Buyken, Anette E. and Ceriello, Antonio and La Vecchia, Carlo and Livesey, Geoffrey and Liu, Simin and Riccardi, Gabriele and Rizkalla, Salwa W. and Sievenpiper, John L. and Trichopoulou, Antonia and Wolever, Thomas M. S. and Baer-Sinnott, Sylvia and Poli, Andrea, 2015).
The only way to know your personal response is to test it.
2-Week Personal Test Protocol:
Week 1 — Baseline: Eat only green-light carbohydrates for 7 days. No bread, rice, pasta, sugar. Track daily:
Week 2 — Reintroduce one food at a time: Add one yellow or red light food for 3 days. Same tracking.
The data tells you where you personally sit on the spectrum. Some people handle rice without issue. Some people respond sharply to it. The numbers guide you to the test. The test gives you the personal answer.
The goal is not a GI-obsessed eating protocol that consumes mental energy at every meal. The goal is a set of default food choices that are naturally low GL and require no calculation at mealtime.
Once your defaults are set — what you eat on a regular Tuesday, your go-to meal structures, your grocery list staples — you can stop thinking about numbers entirely. The numbers got you to the habits. The habits carry you forward.
No. Whole wheat bread has a GI of 74. White bread is 75. Nearly identical.
The fiber in whole wheat is real and provides some benefit, but the grain has been ground into flour — particle size dominates the glycemic response. Intact whole grains (bulgur, barley, steel cut oats) are genuinely low GI. Whole wheat flour products are not.
Most fruit is low GL. The fiber, water content, and micronutrient profile of whole fruit makes it a fundamentally different metabolic event from drinking fruit juice or eating refined sugar.
Fruit juice removes the fiber and concentrates the sugar. Whole fruit with intact fiber is almost universally low GL at normal serving sizes.
The glycemic difference between lentils (GI 32, GL 5) and white bread (GI 75, GL 11) is not minor. These foods produce dramatically different biological responses even at equal carbohydrate quantities. Treating all carbs as equivalent ignores decades of research.
GL is dose-dependent. A low-GI food consumed in very large quantities can still produce a high GL. Lentils at GL 5 per serving become GL 20 at four servings. Volume matters.
It is not. Calories, protein intake, micronutrient density, food quality, sleep, stress, and training all influence body composition and metabolic health. GI and GL are one lens among several. They are a particularly useful lens for carbohydrate selection, but they do not replace other fundamentals.
The same food can produce different blood glucose responses in different people — sometimes dramatically so. Research shows that individual variation in glycemic response can be greater than the variation between different foods (Augustin, Livia S. A. and Kendall, Cyril W. C. and Jenkins, David J. A. and Willett, Walter C. and Astrup, Arne and Barclay, Alan W. and Björck, Inger and Brand-Miller, Janette C. and Brighenti, Furio and Buyken, Anette E. and Ceriello, Antonio and La Vecchia, Carlo and Livesey, Geoffrey and Liu, Simin and Riccardi, Gabriele and Rizkalla, Salwa W. and Sievenpiper, John L. and Trichopoulou, Antonia and Wolever, Thomas M. S. and Baer-Sinnott, Sylvia and Poli, Andrea, 2015).
This is why Step 4 (personal experiment) matters. The tables give you the population average. Your body gives you the personal answer.
GI and GL values are measured with foods in isolation, under fasted conditions, in standardized portions. Real meals are mixed — they contain protein, fat, fiber, acid, and multiple carbohydrate sources simultaneously.
This context reliably lowers glycemic response compared to isolated food testing. The tables are conservative guides, not exact predictions for your mixed iftar plate.
The same food category can have significantly different GI depending on brand, variety, and preparation. Pasta GI ranges from ~40 to ~60 depending on grain variety and cooking time. White rice ranges from ~64 to ~93 depending on variety and preparation method.
Use table values as directional guidance, not precise measurements.
GI and GL are well-supported tools for blood glucose management and short-term food choice (Livesey, Geoffrey and Taylor, Richard and Livesey, Helen F. and Buyken, Anette E. and Jenkins, David J. A. and Augustin, Livia S. A. and Barclay, Alan W. and Liu, Simin and Wolever, Thomas M. S. and Willett, Walter C. and Brighenti, Furio and Salas-Salvadó, Jordi and Björck, Inger and Rizkalla, Salwa W. and Riccardi, Gabriele and La Vecchia, Carlo and Ceriello, Antonio and Trichopoulou, Antonia and Poli, Andrea and Kendall, Cyril W. C. and Ha, Mary Ann and Baer-Sinnott, Sylvia and Brand-Miller, Janette C., 2019). The evidence for long-term cardiovascular and weight outcomes is positive but more variable across populations. The framework is reliable for its primary purpose — guiding carbohydrate choices — and should be understood as that.
After everything in this guide, the practical principles reduce to a short list:
The numbers exist to build instincts. Once the instincts are calibrated, you do not need the numbers anymore.
Atkinson, Fiona S. and Foster-Powell, Kaye and Brand-Miller, Janette C. (2008). International tables of glycemic index and glycemic load values: 2008, Diabetes Care.
Augustin, Livia S. A. and Kendall, Cyril W. C. and Jenkins, David J. A. and Willett, Walter C. and Astrup, Arne and Barclay, Alan W. and Björck, Inger and Brand-Miller, Janette C. and Brighenti, Furio and Buyken, Anette E. and Ceriello, Antonio and La Vecchia, Carlo and Livesey, Geoffrey and Liu, Simin and Riccardi, Gabriele and Rizkalla, Salwa W. and Sievenpiper, John L. and Trichopoulou, Antonia and Wolever, Thomas M. S. and Baer-Sinnott, Sylvia and Poli, Andrea (2015). Glycemic index, glycemic load and glycemic response: An International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC), Nutrition, Metabolism and Cardiovascular Diseases.
Brand-Miller, Janette C. and Holt, Susanna H. A. and Pawlak, David B. and McMillan, Joanna (2002). Glycemic index and obesity, The American Journal of Clinical Nutrition.
Foster-Powell, Kaye and Holt, Susanna H. A. and Brand-Miller, Janette C. (2002). International table of glycemic index and glycemic load values: 2002, The American Journal of Clinical Nutrition.
Higgins, Janine A. (2004). Resistant starch: metabolic effects and potential health benefits, Journal of AOAC International.
Holt, Susanna H. A. and Miller, Janette C. Brand and Petocz, Peter (1997). An insulin index of foods: the insulin demand generated by 1000-kJ portions of common foods, The American Journal of Clinical Nutrition.
Jenkins, David J. A. and Wolever, Thomas M. S. and Taylor, Richard H. and Barker, Helen and Fielden, Hasib and Baldwin, Janet M. and Bowling, Ann C. and Newman, Helen C. and Jenkins, Alexandra L. and Goff, David V. (1981). Glycemic index of foods: a physiological basis for carbohydrate exchange, The American Journal of Clinical Nutrition.
Livesey, Geoffrey and Taylor, Richard and Livesey, Helen F. and Buyken, Anette E. and Jenkins, David J. A. and Augustin, Livia S. A. and Barclay, Alan W. and Liu, Simin and Wolever, Thomas M. S. and Willett, Walter C. and Brighenti, Furio and Salas-Salvadó, Jordi and Björck, Inger and Rizkalla, Salwa W. and Riccardi, Gabriele and La Vecchia, Carlo and Ceriello, Antonio and Trichopoulou, Antonia and Poli, Andrea and Kendall, Cyril W. C. and Ha, Mary Ann and Baer-Sinnott, Sylvia and Brand-Miller, Janette C. (2019). Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: A Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies, Nutrients.
Ludwig, David S. (2002). The glycemic index: physiological mechanisms relating to obesity, diabetes, and cardiovascular disease, JAMA.
Salmeron, Jorge and Manson, JoAnn E. and Stampfer, Meir J. and Colditz, Graham A. and Wing, Alicia L. and Willett, Walter C. (1997). Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women, JAMA.
Wolever, Thomas M. S. and Jenkins, David J. A. (1986). The use of the glycemic index in predicting the blood glucose response to mixed meals, The American Journal of Clinical Nutrition.
Wolever, Thomas M. S. and Jenkins, David J. A. and Jenkins, Alexandra L. and Josse, Robert G. (1991). The glycemic index: methodology and clinical implications, The American Journal of Clinical Nutrition.
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