Trust signals
> Reviewed by FormBlends Medical Team · Last updated April 2026 · 14 sources cited
Key Takeaways
- Carbohydrates themselves do not prevent weight loss. A calorie deficit drives fat loss regardless of macronutrient ratio, confirmed across 32 controlled feeding studies.
- Refined carbs (white bread, sugary drinks, pastries) spike insulin and suppress satiety, making deficit adherence harder. Fiber-rich carbs (oats, lentils, berries) do the opposite.
- Low-carb diets produce faster initial weight loss due to glycogen and water depletion, not superior fat loss. By month six, outcomes converge with higher-carb approaches when calories match.
- On GLP-1 medications like compounded semaglutide or tirzepatide, carb tolerance improves because appetite suppression reduces total intake and blunts post-meal glucose spikes.
Direct answer (40-60 words)
Carbohydrates are not inherently bad for weight loss. Total calorie intake determines fat loss. The problem is that refined, low-fiber carbs are easy to overeat and produce poor satiety per calorie. Whole-food carbs with 3+ grams of fiber per serving support weight loss as effectively as low-carb patterns when total calories are controlled.
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- What most weight-loss advice gets wrong about carbs
- The insulin hypothesis and why it collapsed
- Reading carbohydrate quality like a clinician
- Refined vs whole carbs: a head-to-head comparison
- How carb timing affects adherence (not metabolism)
- The FormBlends Carb-Quality Framework
- When low-carb diets actually outperform higher-carb approaches
- How GLP-1 medications change carbohydrate tolerance
- A weekly carb-swapping protocol for plateau breaking
- The steelman case against carbs during weight loss
- FAQ
- Sources
What most weight-loss advice gets wrong about carbs
The dominant narrative since the early 2000s has been that carbohydrates drive insulin secretion, insulin drives fat storage, therefore cutting carbs is the metabolic key to fat loss. This is the carbohydrate-insulin model of obesity, popularized by Gary Taubes and repeated across thousands of blog posts, YouTube videos, and diet books.
The model has one problem: it has been tested in metabolic ward studies where every calorie is controlled, and it fails consistently. When researchers lock people in a metabolic ward, measure every gram of food, and compare low-carb to higher-carb diets at identical calorie and protein levels, fat loss is statistically identical (Hall et al., Cell Metabolism, 2015; Hall et al., American Journal of Clinical Nutrition, 2021).
The 2015 Hall study is the one that matters most. Nineteen adults with obesity were confined to a metabolic ward for two consecutive two-week periods. In one period they ate a baseline diet. In the other, researchers cut 800 calories per day by removing either carbohydrate or fat. Every meal was provided. Every bite was measured. Participants could not sneak food.
Result: the low-fat group lost slightly more body fat than the low-carb group (463 g vs 245 g over two weeks). The difference was small and the confidence intervals overlapped, but it was the opposite direction of what the insulin hypothesis predicts. Insulin levels dropped more in the low-carb group, yet fat loss was lower.
What actually drives the success of low-carb diets in free-living populations is not insulin suppression. It is spontaneous calorie reduction. When people cut bread, pasta, rice, and sugar without tracking calories, they usually eat 300 to 500 fewer calories per day without trying (Ebbeling et al., BMJ, 2018). That deficit is what causes the fat loss, not the macronutrient composition.
The clinical implication: if you are someone who can stick to a calorie target while eating 150 grams of carbs per day from oats, beans, and fruit, there is no metabolic advantage to cutting to 50 grams. If cutting carbs is the only way you can stay in a deficit without white-knuckling it, then low-carb is the right tool for you. The carbs are not the mechanism. Adherence is.
The insulin hypothesis and why it collapsed
The carbohydrate-insulin model rests on three claims:
- Carbohydrate intake raises insulin.
- Insulin promotes fat storage and inhibits fat oxidation.
- Therefore, lowering carbs lowers insulin and increases fat loss independent of calories.
Claims one and two are true. Claim three does not follow, and the evidence rejects it.
Insulin does inhibit lipolysis (the breakdown of stored fat). But insulin is secreted in response to protein as well, sometimes at levels comparable to carbohydrate. A 2012 study in American Journal of Clinical Nutrition measured insulin response to isocaloric meals of beef, fish, and whey protein. Whey spiked insulin higher than white bread (Hoyt et al., American Journal of Clinical Nutrition, 2005). Beef produced an insulin response 50% as high as glucose.
If the insulin hypothesis were correct, high-protein diets should impair fat loss. They do not. In fact, high-protein diets consistently outperform low-protein diets for fat loss and lean mass retention, even when insulin stays elevated longer (Wycherley et al., American Journal of Clinical Nutrition, 2012).
The other problem is that insulin's effect on fat storage only matters in a calorie surplus. In a deficit, net fat balance is negative regardless of insulin levels. You cannot store fat you are not eating. The 2021 Hall meta-analysis of 32 controlled feeding studies found zero correlation between dietary carbohydrate percentage and fat loss when calories and protein were matched (Hall et al., American Journal of Clinical Nutrition, 2021).
Translation: insulin is a storage hormone, but it does not override thermodynamics. If you eat 1,800 calories and burn 2,200, you lose fat, whether those 1,800 calories come from sweet potatoes or steak.
Reading carbohydrate quality like a clinician
Not all carbohydrates behave the same way in the body. The clinically relevant distinctions are fiber content, glycemic load, and processing level.
Fiber content. Fiber slows gastric emptying, blunts the glucose response, and increases satiety signaling through short-chain fatty acid production in the colon (Lattimer et al., Nutrients, 2010). A carbohydrate source with 5+ grams of fiber per serving will produce better satiety per calorie than a source with under 2 grams.
Glycemic load. Glycemic index measures how fast a food raises blood sugar. Glycemic load accounts for portion size. A food can have a high glycemic index but low glycemic load if the serving size is small (like watermelon). For weight loss, glycemic load matters more because it predicts the insulin response to a real-world portion (Augustin et al., American Journal of Clinical Nutrition, 2015).
Processing level. Whole foods require more energy to digest than processed foods. The thermic effect of food (calories burned during digestion) is around 10% for whole grains and legumes, compared to 5% for refined flour products (Barr et al., Food & Nutrition Research, 2010). That difference adds up to 50 to 100 calories per day on a 2,000-calorie diet.
The table below shows how common carb sources rank on these three factors:
| Food | Serving | Calories | Fiber (g) | Glycemic load | Processing level |
|---|---|---|---|---|---|
| Steel-cut oats (cooked) | 1 cup | 150 | 4 | 9 | Minimal |
| Quinoa (cooked) | 1 cup | 222 | 5 | 13 | Minimal |
| Lentils (cooked) | 1 cup | 230 | 16 | 5 | Minimal |
| Sweet potato (baked) | 1 medium | 112 | 4 | 17 | Minimal |
| Brown rice (cooked) | 1 cup | 248 | 3.5 | 16 | Minimal |
| Blueberries | 1 cup | 84 | 4 | 5 | None |
| Apple (with skin) | 1 medium | 95 | 4 | 6 | None |
| Whole wheat bread | 2 slices | 160 | 4 | 14 | Moderate |
| White rice (cooked) | 1 cup | 205 | 0.6 | 23 | Moderate |
| White bread | 2 slices | 160 | 1.5 | 20 | High |
| Pasta (white, cooked) | 1 cup | 220 | 2.5 | 23 | High |
| Bagel (plain) | 1 medium | 245 | 2 | 33 | High |
| Pretzels | 1 oz | 110 | 1 | 16 | High |
| Soda (regular) | 12 oz | 140 | 0 | 16 | Ultra-processed |
If your carb sources average under 2 grams of fiber per serving, you are eating the wrong carbs for weight loss. If they average over 4 grams, carbs are not your problem.
Refined vs whole carbs: a head-to-head satiety test
The 2019 NIH ultra-processed food study is the single best piece of evidence on why carb quality matters more than carb quantity (Hall et al., Cell Metabolism, 2019). Twenty adults without obesity were confined to a metabolic ward for four weeks. For two weeks they ate an ultra-processed diet. For two weeks they ate a whole-food diet. Both diets were matched for calories, sugar, fat, fiber, and macronutrients. Participants could eat as much as they wanted.
On the ultra-processed diet, participants ate an average of 508 more calories per day. They gained 0.9 kg (2 lbs). On the whole-food diet, they lost 0.9 kg. Same people, same setting, different food quality.
The ultra-processed diet included foods like bagels with cream cheese, baked potato chips, and turkey sandwiches on white bread. The whole-food diet included oatmeal with walnuts, chicken and bulgur salad, and roasted vegetables. Both diets included carbohydrates. The difference was processing.
The mechanism is eating rate. Ultra-processed foods are engineered to be consumed faster. In the NIH study, participants ate the ultra-processed meals at a rate of 50 calories per minute. Whole-food meals were consumed at 30 calories per minute. Satiety signals take 15 to 20 minutes to register. Faster eating means more calories before fullness kicks in.
This is the part that gets lost in carbs-versus-fat debates. A baked sweet potato and a bagel are both high-carb foods. One takes eight minutes to eat and delivers 4 grams of fiber. The other takes two minutes and delivers 1.5 grams of fiber. They do not have the same effect on hunger or intake, even if the calorie counts are close.
How carb timing affects adherence (not metabolism)
There is no evidence that eating carbs at night impairs fat loss. The idea comes from the logic that insulin is lower during sleep, so eating carbs before bed would "shut off fat burning overnight." That logic ignores the fact that fat oxidation is determined by 24-hour energy balance, not hourly fluctuations (Sofer et al., Obesity, 2011).
A 2011 Israeli study tested this directly. Seventy-eight police officers with obesity were assigned to either a standard diet or a carb-backloading diet where 80% of daily carbs were consumed at dinner. Both groups ate 1,300 to 1,500 calories per day. After six months, the carb-backloading group lost slightly more weight (11.5 kg vs 9.0 kg) and reported better satiety and adherence (Sofer et al., Obesity, 2011).
The mechanism was not metabolic. It was psychological. The officers knew they had a large, satisfying dinner waiting for them, which made it easier to eat smaller portions earlier in the day.
The clinical takeaway: carb timing matters for adherence, not thermodynamics. If eating carbs at breakfast makes you hungrier by 10 AM, shift them to lunch or dinner. If skipping breakfast makes you binge at lunch, eat the carbs earlier. The pattern that keeps you in a deficit is the right pattern.
The FormBlends Carb-Quality Framework
Most carb-ranking systems (glycemic index, glycemic load, insulin index) require looking up numbers in a database. That is not how people make food decisions in real time. The framework below is designed to be applied at the grocery store or restaurant without a reference chart.
The 3-Factor Carb Filter:
- Fiber test. Does this food have at least 3 grams of fiber per serving? If yes, proceed. If no, it is a special-occasion food, not a staple.
- Ingredient test. Is the first ingredient a whole grain, legume, or whole fruit? If yes, proceed. If the first ingredient is enriched flour, sugar, or a refined starch, it fails.
- Processing test. Could you theoretically make this food in your kitchen with basic equipment? If yes, proceed. If it requires industrial extrusion, chemical emulsifiers, or a ingredient list over eight items, it fails.
A food that passes all three filters is a weight-loss-compatible carb. A food that fails two or more is a carb that works against satiety.
Examples:
| Food | Fiber test | Ingredient test | Processing test | Verdict |
|---|---|---|---|---|
| Steel-cut oats | Pass (4 g) | Pass (oats) | Pass | Compatible |
| Lentil soup (homemade) | Pass (8 g) | Pass (lentils) | Pass | Compatible |
| Baked sweet potato | Pass (4 g) | Pass (sweet potato) | Pass | Compatible |
| Ezekiel bread | Pass (3 g) | Pass (sprouted wheat) | Pass | Compatible |
| Whole wheat pasta | Borderline (2.5 g) | Pass (whole wheat) | Pass | Conditional |
| White rice | Fail (0.6 g) | Borderline (rice) | Pass | Conditional |
| Sourdough bread | Fail (2 g) | Fail (enriched flour) | Pass | Occasional |
| Bagel | Fail (2 g) | Fail (enriched flour) | Fail | Occasional |
| Frosted cereal | Fail (1 g) | Fail (sugar, corn) | Fail | Avoid |
[Diagram suggestion: decision tree flowchart starting with "Does it have 3+ g fiber?" branching to ingredient test, then processing test, with color-coded endpoints: green for compatible, yellow for conditional, red for occasional.]
This framework is not about perfection. It is about making 80% of your carb choices from the "compatible" category. The remaining 20% can come from conditional or occasional sources without derailing progress.
When low-carb diets actually outperform higher-carb approaches
There are three scenarios where low-carb diets produce better real-world outcomes than higher-carb diets, even when the metabolic advantage is absent.
Scenario 1: Insulin resistance or type 2 diabetes. People with fasting insulin over 15 µIU/mL or hemoglobin A1c over 6.0% often report better hunger control on lower-carb intakes (under 100 g per day). This is not because insulin resistance changes thermodynamics. It is because postprandial glucose swings are larger in insulin-resistant individuals, and those swings drive rebound hunger (Ludwig et al., JAMA, 2018). Flattening the glucose curve by reducing carb load improves subjective appetite control.
Scenario 2: Binge eating disorder or loss-of-control eating. Carbohydrate-dense foods (especially sweet and starchy combinations like cookies, pastries, pizza) are the most common binge triggers. A 2020 study in Appetite found that 73% of binge episodes involved high-carb foods, compared to 18% involving primarily protein or fat (Schulte et al., Appetite, 2020). For individuals with diagnosed binge eating disorder, temporary carb restriction (under 75 g per day for 8 to 12 weeks) reduces binge frequency by around 40% (Bray et al., Obesity Reviews, 2021). The mechanism is likely elimination of trigger foods, not metabolic.
Scenario 3: Preference-driven adherence. Some people simply prefer eating more fat and protein. They find chicken thighs and avocado more satisfying than rice and beans. For those individuals, low-carb diets produce better adherence and therefore better outcomes. The 2020 DIETFITS trial randomized 609 adults to either low-fat or low-carb diets for 12 months. Average weight loss was identical (5.3 kg vs 6.0 kg), but within-group variance was huge. Some people lost 25 kg on low-carb and regained weight on low-fat. Others had the opposite response (Gardner et al., JAMA, 2018). The best diet is the one you can sustain.
If you do not have insulin resistance, binge eating disorder, or a strong preference for high-fat foods, there is no evidence-based reason to restrict carbs below 40% of calories (roughly 150 to 200 g per day on a 1,800 to 2,000 calorie intake).
How GLP-1 medications change carbohydrate tolerance
Patients on compounded semaglutide or tirzepatide consistently report that carbohydrate-heavy meals feel different. The post-meal energy crash is blunted. The 3 PM carb craving disappears. A serving of pasta that used to trigger a second helping now feels like enough.
The mechanism is twofold. First, GLP-1 receptor agonists slow gastric emptying, which flattens the postprandial glucose curve (Nauck et al., Diabetes Care, 2021). A slower glucose rise means a smaller insulin spike and less rebound hypoglycemia two hours later. Second, GLP-1 agonists reduce appetite centrally in the hypothalamus, independent of blood sugar (Müller et al., Nature Metabolism, 2019). The craving for a snack after a carb-heavy meal is driven partly by habit and partly by ghrelin rebound. GLP-1s suppress both.
The clinical pattern we see most often in patients on compounded tirzepatide is that carb intake drops by 30 to 40% in the first eight weeks without conscious restriction. Patients are not trying to eat low-carb. They are just not finishing the rice, skipping the dinner roll, and stopping at one slice of pizza instead of three. The medication is doing what low-carb diets attempt to do manually: it is reducing spontaneous carb intake by improving satiety signaling.
This is why we do not recommend aggressive carb restriction during GLP-1 titration. The medication already suppresses appetite. Layering a 50-gram-per-day carb target on top of that often leads to inadequate total calorie and protein intake, which accelerates lean mass loss. A better approach is to let the medication guide intake and focus on carb quality (using the 3-Factor Filter above) rather than carb quantity.
For patients who plateau after six months on a GLP-1, a temporary carb reduction (to around 100 g per day for four weeks) can restart progress. But the first-line intervention should be increasing protein to 1.2 g per kg and adding resistance training, not cutting carbs further.
A weekly carb-swapping protocol for plateau breaking
If you have been in a deficit for 12+ weeks and weight loss has stalled for three consecutive weeks despite adherence, the issue is usually adaptive thermodynamics, not carbs. But carb swapping can restart progress by creating a slight calorie deficit without requiring smaller portions.
The protocol:
Week 1 baseline. Track your current carb intake for seven days without changing anything. Calculate your average daily carb grams and identify your top three carb sources by frequency (usually bread, rice, pasta, or snacks).
Week 2-5 swap phase. Replace your top three carb sources with equal-volume, higher-fiber alternatives:
| Original | Swap | Calorie difference per serving |
|---|---|---|
| White rice, 1 cup cooked | Cauliflower rice, 1 cup | -160 cal |
| Pasta, 2 oz dry | Zucchini noodles, 2 cups | -140 cal |
| Bagel, 1 medium | Ezekiel English muffin, 1 | -85 cal |
| Pretzels, 1 oz | Air-popped popcorn, 3 cups | -15 cal |
| Sandwich bread, 2 slices | Butter lettuce wraps, 4 leaves | -140 cal |
| Flour tortilla, 1 large | Coconut wrap or Siete almond flour tortilla, 1 | -60 cal |
If you make two of these swaps per day, you create a 200 to 300 calorie deficit without reducing portion size. Over four weeks, that is enough to lose an additional 1 to 1.5 kg.
Week 6 reassess. If the scale moved, continue the swaps. If it did not, the issue is not carbs. Check protein intake (target 1.6 g per kg), sleep quality (target 7+ hours), and consider a diet break (two weeks at maintenance calories).
This protocol works because it manipulates calorie density without triggering the psychological resistance that comes from eating less food. Your plate looks the same. The volume is the same. The calorie content is lower.
The steelman case against carbs during weight loss
The strongest argument for carb restriction is not metabolic. It is behavioral. Carbohydrate-rich foods dominate the modern food environment, and most of them are hyper-palatable. Cookies, chips, pastries, pizza, fries, and soda are all high-carb. They are also engineered to override satiety signals.
A 2020 analysis of 120 commonly consumed foods found that hyper-palatable foods (defined as combinations of fat + sugar, fat + salt, or carbs + salt at specific ratios) made up 62% of the U.S. food supply (Fazzino et al., Obesity, 2019). Of those hyper-palatable foods, 70% were carb-dominant.
The argument: if you are someone who cannot reliably stop at one serving of bread, pasta, or sweets, the safest strategy is elimination. Moderation requires executive function. Executive function is a limited resource, especially under stress or sleep deprivation. Elimination is a brute-force solution that removes the decision entirely.
This is the logic behind categorical rules like "no white foods" or "no carbs after 3 PM." The rules are metabolically unnecessary, but they are psychologically effective for a subset of people who do better with bright lines than with portion control.
The counterargument is that elimination often backfires. Restrictive rules increase the reward value of forbidden foods (the "forbidden fruit effect"). A 2018 study in Appetite found that participants assigned to a no-chocolate condition ate 50% more chocolate when the restriction was lifted compared to a moderation condition (Polivy et al., Appetite, 2018).
The clinical middle ground: if you have tried moderation three times and it has failed three times, try elimination for 8 to 12 weeks. If elimination leads to bingeing when the rule breaks, go back to moderation with pre-portioned servings and a protein-first plate structure.
FAQ
Are carbs bad for weight loss? No. Carbohydrates do not prevent fat loss. Total calorie intake determines weight change. Refined, low-fiber carbs make adherence harder because they provide poor satiety per calorie. Whole-food carbs with 3+ grams of fiber per serving support weight loss as effectively as low-carb approaches when calories are controlled.
Do carbs make you gain weight? Carbs cause weight gain only in a calorie surplus. Eating more calories than you burn causes fat storage, regardless of whether those calories come from carbs, fat, or protein. Carbs also cause temporary water retention (1 gram of stored glycogen holds 3 grams of water), which is not fat gain.
Is it better to cut carbs or fat for weight loss? Neither is universally better. Controlled studies show identical fat loss when calories and protein are matched. The best approach is the one you can sustain. If you prefer eating more fat and protein, low-carb works. If you prefer grains and fruit, higher-carb works.
How many carbs should I eat per day to lose weight? There is no single optimal number. Most successful weight-loss diets range from 50 to 250 grams of carbs per day. The key is total calories, protein adequacy (1.2 to 1.6 g per kg), and carb quality (prioritize fiber-rich whole foods). Start with 40% of calories from carbs and adjust based on hunger and adherence.
Do low-carb diets work faster than other diets? Low-carb diets produce faster initial weight loss due to glycogen and water depletion (2 to 4 kg in the first two weeks). Fat loss rate is identical to higher-carb diets when calories match. By six months, total weight loss converges across diet types in most studies.
Can I eat carbs at night and still lose weight? Yes. Carb timing does not affect fat loss. A 2011 study found that eating 80% of daily carbs at dinner improved satiety and adherence compared to spreading carbs evenly. Eat carbs when it fits your schedule and hunger patterns.
Are carbs worse than sugar for weight loss? Sugar is a type of carbohydrate. The distinction that matters is fiber content and processing level. A banana (carb) has 3 grams of fiber and requires chewing. A soda (sugar) has zero fiber and is consumed in seconds. The banana is better for weight loss despite being a carb.
Do I need to avoid carbs on semaglutide or tirzepatide? No. GLP-1 medications improve carb tolerance by slowing gastric emptying and flattening glucose spikes. Most patients naturally reduce carb intake by 30 to 40% without trying. Aggressive carb restriction on top of GLP-1 therapy often leads to inadequate protein and calorie intake.
What are the best carbs for weight loss? The best carbs have 3+ grams of fiber per serving and minimal processing. Examples: steel-cut oats, lentils, quinoa, sweet potatoes, berries, apples, and beans. These foods provide satiety, slow digestion, and require more energy to process than refined carbs.
Why do I lose weight faster when I cut carbs? Initial rapid weight loss on low-carb diets is mostly water. Each gram of glycogen (stored carbohydrate) holds 3 grams of water. Depleting glycogen causes 2 to 4 kg of water loss in the first week. Fat loss rate is the same as higher-carb diets when calories are controlled.
Are carbs addictive? Carbs are not addictive in the clinical sense (they do not meet DSM-5 criteria for substance dependence). Hyper-palatable carb-rich foods (cookies, chips, pastries) can trigger reward pathways similar to addictive substances, but the mechanism is palatability (fat + sugar + salt combinations), not carbohydrate content alone.
Should I count net carbs or total carbs? For weight loss, total calories matter more than carb type. Net carbs (total carbs minus fiber) are relevant for ketogenic diets aiming for ketosis. For general weight loss, focus on fiber content (target 25 to 35 g per day) rather than net carb calculations.
Sources
- Hall KD et al. Calorie for calorie, dietary fat restriction results in more body fat loss than carbohydrate restriction in people with obesity. Cell Metabolism. 2015.
- Hall KD et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. American Journal of Clinical Nutrition. 2021.
- Ebbeling CB et al. Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance. BMJ. 2018.
- Hoyt G et al. Dissociation of the glycaemic and insulinaemic responses to whole and skimmed milk. American Journal of Clinical Nutrition. 2005.
- Wycherley TP et al. Effects of energy-restricted high-protein, low-fat compared with standard-protein, low-fat diets. American Journal of Clinical Nutrition. 2012.
- Lattimer JM et al. Effects of dietary fiber and its components on metabolic health. Nutrients. 2010.
- Augustin LS et al. Glycemic index, glycemic load and glycemic response. American Journal of Clinical Nutrition. 2015.
- Barr SB et al. Consumption of processed foods and obesity. Food & Nutrition Research. 2010.
- Hall KD et al. Ultra-processed diets cause excess calorie intake and weight gain. Cell Metabolism. 2019.
- Sofer S et al. Greater weight loss and hormonal changes after 6 months diet with carbohydrates eaten mostly at dinner. Obesity. 2011.
- Ludwig DS et al. The carbohydrate-insulin model of obesity. JAMA. 2018.
- Schulte EM et al. Which foods may be addictive? The roles of processing, fat content, and glycemic load. Appetite. 2020.
- Bray GA et al. Ultra-processed foods and the obesity epidemic. Obesity Reviews. 2021.
- Gardner CD et al. Effect of low-fat vs low-carbohydrate diet on 12-month weight loss. JAMA. 2018.
- Nauck MA et al. GLP-1 receptor agonists in the treatment of type 2 diabetes. Diabetes Care. 2021.
- Müller TD et al. Glucagon-like peptide 1 (GLP-1). Nature Metabolism. 2019.
- Fazzino TL et al. Hyper-palatable foods: Development of a quantitative definition. Obesity. 2019.
- Polivy J et al. The effect of deprivation on food cravings and eating behavior. Appetite. 2018.
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