The Calorie Myth: Why Calorie Counting Fails for Many People
Energy balance holds as a physical principle. Even so, calorie counting is a measuring tool with wide error bars. Labels, digestion, memory and estimates of expenditure all drift, and the body actively pushes back by adjusting hunger and expenditure. In two large national nutrition surveys, more than 50 percent of the energy intake reports were erroneous.
Calorie counting is not wrong. It is a tool, and every tool has limits. When the math does not add up, it is rarely your discipline. Often, it is the math.
It is just after nine in the evening. You are on the sofa, logging your last meal in the app. Oats, weighed. The handful of nuts, estimated. The ring on the screen closes in green.
You have been doing this for weeks, every single day. And still, on Monday morning, the scale does not show less. It shows more.
Maybe that is when you heard the sentence that hurts so much in moments like these: you must be eating too much after all. Eat less, move more. It is that simple.
I would like to offer you a different perspective. The physics of energy balance is correct. But the tool you use to measure it in everyday life is far less precise than the numbers on the screen. And your body is not a calculator. It is a regulatory system that keeps its own count.
Energy balance holds. Calorie counting still often fails, for two reasons. Almost every number in the equation is an estimate. And the body responds to a deficit with more hunger and somewhat lower expenditure. In an analysis of a one-year study, appetite rose by about 100 kilocalories per day for every kilogram lost.
A pattern I see often
I know this pattern very well. People who count with great care, often for years and with several apps. They arrive with a sentence that sounds like exhaustion.
When we look at it together, we rarely find one big mistake. We find many small inaccuracies. Portions estimated instead of weighed. Oil in the pan that never makes it into the app. Weekends when the log takes a break. Add to that short nights and an evening hunger that feels like losing control.
Just as important is what we check medically: the thyroid, medications that can affect weight, and water retention.
The turning point is often unspectacular. We do not tighten the counting. We shift the focus from the number to the signals: hunger, fullness, sleep, protein in meals and fewer ultra-processed products.
What often changes first in such cases is not the scale. It is the evening hunger and the mood around eating. I cannot claim causation, but I document the temporal relationship.
The lesson: if you count meticulously and still gain weight, you are not undisciplined. You are working with an imprecise measuring device against a regulatory system.
What to expect in this article
- Why energy balance holds and still does not explain everything
- Five points where your calorie math gets blurry
- How hunger and hormones push back after a deficit
- Why food quality helps shape how much you eat
- The Hall vs. Ludwig research debate, weighed fairly
- When counting can help and when it tends to weigh on you
- Three levers that may carry more weight than a stricter number
- What is well supported and what remains open
Human Measurement, follow-up or review data in humans
Animal study Data from animal models
Cell culture Data from laboratory experiments on cells
All data cited in this article come from human studies or reviews. Animal and cell data do not appear.
Does energy balance even hold?
Online, two camps face each other. One says: calories are everything. The other says: calories do not matter, only insulin counts. If you find yourself between these voices, every meal feels like an exam.
Let's start with what is well supported. Your body fat only decreases if you use more energy than you take in over a longer period. That is physics, not a belief. And it shows up in large studies, too.
A team led by Sacks at the Harvard School of Public Health studied 811 adults with overweight. They were assigned one of four reduced-calorie diets with different shares of fat, protein and carbohydrates. After six months, all groups had lost about 6 kilograms on average. After two years, the results were similar, between 2.9 and 3.6 kilograms.
For you, this means: a calorie deficit can work with very different ways of eating. People who attended more group sessions lost more. Sticking with it seems to matter more than the perfect split.
Sacks FM, Bray GA, Carey VJ et al. N Engl J Med. 2009. DOI: 10.1056/NEJMoa0804748How closely calories and body fat are linked is shown by an experiment from the opposite direction.
A team led by Bray at the Pennington Biomedical Research Center studied 25 healthy adults as inpatients. For eight weeks, they ate about 40 percent more than they needed, with 5, 15 or 25 percent protein. Body fat rose similarly in all three groups, and the researchers concluded: for fat gain, calories alone counted.
With normal and high protein, however, lean mass and resting energy expenditure also rose, by 160 and 227 kilocalories per day. For you, this means: in this experiment, the balance decided the fat. The composition helped shape what else happened in the body.
Bray GA, Smith SR, de Jonge L et al. JAMA. 2012. DOI: 10.1001/jama.2011.1918From the perspective of KPNI (Clinical Psychoneuroimmunology), this is not a contradiction but a division of labor. Energy balance is the outcome. Hormones, the nervous system and metabolism help decide how that outcome comes about: how hungry you are, how much you move and how much energy flows into muscle instead of fat.
Energy balance is like gravity. Nobody has to believe in it, it applies anyway. But knowing that gravity exists does not teach you how to fly. The interesting question is not whether the balance holds. It is what in your body steers the balance.
And now you know why both camps online are partly right and still talk past each other.
Why is every number in your app just an estimate?
Counting feels exact. A kitchen scale, a barcode scanner, a database with millions of entries. What could go wrong?
A little, at almost every step. Imagine your calorie math as a chain with five links. Every link is an estimate. And small inaccuracies can add up.
Label
Nutrition facts are averages. In a US study, reduced-calorie restaurant meals contained 18 percent more energy than stated, on average.
Plate
Portions are estimated. Oil, sauces and bites in between rarely make it into the app in full.
Gut
How much energy arrives depends on food structure and gut bacteria. For almonds, the calculated value was 32 percent too high.
Memory
Self-reported energy intake often comes out too low. In large surveys, over 50 percent of reports were erroneous.
Expenditure
Fitness trackers estimate expenditure. In testing, none of seven devices achieved an error below 20 percent.
Own illustration based on the studies described below.
The label: an average, not a measurement
A team at Tufts University in Boston checked the energy content of reduced-calorie prepared meals in the laboratory. They tested 29 restaurant dishes and 10 frozen meals from the supermarket. The restaurant dishes contained 18 percent more energy than stated on average, the frozen meals 8 percent. Some individual dishes reached double the stated value. Because of the wide spread, however, the average was not statistically significant.
These are data from the US. But European packages also show averages, not a measurement of your exact package.
The gut: not everything you eat arrives
A team at the Beltsville Human Nutrition Research Center of the US Department of Agriculture measured in 18 adults how much energy from almonds reaches the body. To do this, food, stool and urine were analyzed in detail. A serving of 28 grams provided 129 kilocalories instead of the calculated 168 to 170, an overestimate of 32 percent.
For you, this means: for some foods, the number in the app differs clearly from what your body can absorb. The deviation does not always go in the same direction, and you cannot tell by looking at the food.
Novotny JA, Gebauer SK, Baer DJ. Am J Clin Nutr. 2012. DOI: 10.3945/ajcn.112.035782Your gut bacteria are part of the calculation, too. A team from the US National Institutes of Health (NIH) in Phoenix measured the energy in food and stool in 21 people under inpatient conditions. In lean participants, a shift in gut flora went along with about 150 kilocalories more energy harvested. That is an association, not proof of cause and effect. But it suggests that two people can draw different amounts of energy from the same plate.
How almonds, the work of digestion and gut bacteria shift the math is explored in more depth in the article A calorie is not just a calorie.
Memory: our recall is not a scale
A team at Columbia University in New York studied people who said they ate fewer than 1,200 kilocalories a day and still did not lose weight. Precise measurements showed: their energy expenditure was in the expected range. But they underestimated their food intake by 47 percent on average and overestimated their physical activity by 51 percent.
For you, this means: this is no accusation against these people. Our memory for food is simply not a measuring device.
Lichtman SW, Pisarska K, Berman ER et al. N Engl J Med. 1992. DOI: 10.1056/NEJM199212313272701How common this is was shown by a large analysis from 2025. An international team centered on the University of Aberdeen used 6,497 measurements with doubly labeled water. This method is considered the reference for determining energy expenditure in everyday life. From it, the team derived a screening equation for dietary reports. Applied to two large surveys from the UK and the US, more than 50 percent of the reports were erroneous.
Expenditure: the watch estimates, the body economizes
That leaves the other side of the equation: expenditure. A team at Stanford University tested seven wrist-worn fitness trackers on 60 people and compared them with laboratory measurements. Most devices captured heart rate well. For energy expenditure, none achieved an error below 20 percent.
Then there is a finding that surprises many people. A team led by the anthropologist Pontzer compared physical activity with measured total expenditure in 332 adults from five populations. At low activity levels, expenditure rose clearly with additional movement. At high activity levels, the curve flattened. The body seems to keep its total expenditure within a narrow range.
For you, this means: movement can do a lot for your heart, muscles, mood and insulin sensitivity. As an eraser for dinner, though, it works less well than the watch promises.
Calorie counting is like navigating with a map whose scale changes a little on every street. It is good enough for the general direction. It is not good enough for fine work down to 100 kilocalories. If you measure yourself against it anyway, you are measuring yourself against a precision that does not exist.
And now you know why 1,500 kilocalories in the app do not have to be 1,500 kilocalories in your cells.
What does your body do when you eat less?
The first weeks of a diet often feel good. The scale moves, your jeans feel looser. Then it gets tough. Hunger gets louder, your thoughts circle around food, and progress stalls.
Maybe you concluded from this that you lack willpower. What I see in it, above all, is biology.
Your body defends its energy reserves. The brain, especially the hypothalamus, works much like a thermostat here. When the room temperature drops, it turns up the heat. When your reserves drop, hunger gets louder.
more appetite per day for every kilogram lost, in an analysis of a one-year study
as strong as the adaptation in energy expenditure
after a diet, hunger and several appetite hormones were still altered
A team led by Polidori and Hall used data from 153 people with type 2 diabetes who received the drug canagliflozin in a one-year, placebo-controlled trial. It makes the body excrete sugar in the urine, which creates an energy deficit the participants do not directly notice. Using a validated calculation method, the team found: for every kilogram lost, they ate about 100 kilocalories more per day than at the start.
That was more than three times the corresponding adaptation in energy expenditure. For you, this means: after losing weight, you are not only working against a slightly lower expenditure. Above all, you are working against an appetite that is quietly but measurably turned up.
Polidori D, Sanghvi A, Seeley RJ, Hall KD. Obesity (Silver Spring). 2016. DOI: 10.1002/oby.21653A team at the University of Melbourne followed 50 people with overweight through a ten-week, very low-calorie diet. They lost 13.5 kilograms on average. One year later, leptin, ghrelin, insulin and other appetite hormones were still altered, and hunger was greater than before the diet.
For you, this means: if hunger lingers long after a diet, you are not imagining it. Its messengers can be measured in the blood.
Sumithran P, Prendergast LA, Delbridge E et al. N Engl J Med. 2011. DOI: 10.1056/NEJMoa1105816Even the team around Kevin Hall, which defends the energy balance model, describes the brain as the central organ of weight regulation. It works mostly below our awareness, through hormones, metabolic and nerve signals. Losing weight is therefore not purely a decision of the mind.
From the KPNI perspective, four systems interlock here. In the hormonal system, leptin, the satiety signal from fat tissue, falls, and ghrelin from the stomach rises. In the nervous system, the hypothalamus reads these signals and can amplify hunger and the desire to eat. In metabolism, expenditure falls, partly because a lighter body needs less energy. In the immune system, silent inflammation is discussed as a possible disruptor of satiety signals. The human data here are thinner, though. More on this in the article Silent inflammation and weight.
Experts call part of this adaptation adaptive thermogenesis: after weight loss, expenditure falls somewhat more than the new weight alone would explain. The article Calorie deficit: why it is right and still not enough describes this in detail. Polidori's data suggest that appetite plays the bigger role here.
Is there a fixed set point?
In this context, you often hear the term set point, meaning a fixed target value for your weight. A team led by Speakman in Aberdeen compared the common models. The set point model explains well why the body resists weight loss. But it does a poor job of explaining why so many people have gained considerable weight since the 1980s. The settling point model explains environmental influences better, but the biology less well. The researchers argue for models that consider genes and environment together.
For your everyday life, this means: your weight has a kind of biological gravity, but no concrete foundation. Environment, sleep, stress and food quality can help determine where it settles.
What does this mean in practice? What I observe clinically: a deficit you can maintain without constant hunger usually carries you further than one that pushes you to your limit every evening. Also, plan the time after weight loss as seriously as the diet itself. And take hunger seriously as information, not as an enemy.
Hunger after a diet is not a character flaw. It is a feedback loop doing its job. You do not have to defeat it. You can learn to negotiate with it, through protein, fiber, sleep and meals that leave you noticeably full.
And now you know why the second half of a diet is so much harder than the first.
Is a calorie from chips the same as one from lentils?
On the label, 300 kilocalories always look the same. In your body, they do not feel the same. After one meal, you are full for three hours. After the other, you are back at the fridge 45 minutes later.
Imagine the calorie as a currency. The amount on the banknote is the same. But some notes buy you three hours of peace, others only a short break until the next wave of hunger.
A team led by Kevin Hall at the National Institutes of Health admitted 20 adults as inpatients for four weeks. For two weeks each, they received an ultra-processed or an unprocessed diet. Both were matched for calories offered, energy density, macronutrients, sugar, sodium and fiber, and participants could eat as much as they liked.
On the ultra-processed diet, participants ate 508 kilocalories more per day on average and gained 0.9 kilograms. On the unprocessed diet, they lost 0.9 kilograms. For you, this means: the same calories on offer led to very different amounts eaten.
Hall KD, Ayuketah A, Brychta R et al. Cell Metab. 2019. DOI: 10.1016/j.cmet.2019.05.008Then there is the work of digestion itself. A review by Westerterp from Maastricht summarizes: on a mixed diet, processing food uses about 5 to 15 percent of daily energy expenditure. With a lot of protein this share is higher, with a lot of fat it is lower. The heat from processing protein also seems to be linked to satiety.
This is the heart of this section. Food quality is not the opponent of the calorie. It can help determine how many calories you eat in the first place, often without you noticing. You can read more in the articles Unprocessed food and satiety and The calorie myth: quality over quantity.
From anthroposophic medicine, I take one thought that fits well here. There, food is not just fuel but something the body has to actively transform. A food that does most of this work for it challenges it less. That is a perspective, not a study finding, but it fits well with Hall's data.
The question is not only how much energy a food contains. The question is also how much you want to eat afterwards. If you improve the quality, you can often steer the amount as well, no calculator needed.
And now you know why the number on the package tells only half the story.
Hall vs. Ludwig: do carbohydrates make you fat through insulin?
Maybe you have read it already: it is not calories that make you fat, it is insulin. That sounds liberating. Then the blame would not lie with how much you eat, but with a hormone.
Behind this sentence lies a serious scientific debate. It deserves a fair assessment, not a headline.
On one side is the carbohydrate-insulin model. A team led by David Ludwig in Boston describes it like this: a diet with a high glycemic load leads to hormonal responses that promote fat storage. In their view, this increasing storage is what drives the positive energy balance in the first place. Eating more would then be a consequence rather than a cause.
On the other side is the energy balance model, represented among others by the team around Kevin Hall. According to this model, it is mainly the brain that regulates food intake, depending on energy needs and the environment. From this perspective, the newer carbohydrate-insulin model is a special case of the broader energy balance model.
Carbohydrate-insulin model
Core idea: a diet with a high glycemic load channels energy into fat tissue via hormones, and eating more follows. Supporting data: in a Boston study, expenditure was higher on a low-carbohydrate diet. Open question: why did people in Hall's study eat less on a very high-carbohydrate diet?
Energy balance model
Core idea: the brain regulates intake and expenditure, and environment and foods shift this regulation. Supporting data: under inpatient conditions, a low-fat, high-carbohydrate diet led to considerably less eating. Open question: why do people respond so differently to the same diet?
A team led by Ebbeling and Ludwig at Boston Children's Hospital studied 164 adults after a weight loss of about 12 percent. Afterwards, for 20 weeks, they ate diets with 20, 40 or 60 percent carbohydrates, adjusted to keep their weight stable. On the low-carbohydrate diet, measured total expenditure was 209 kilocalories per day higher than on the high-carbohydrate diet.
In people with high insulin secretion, the difference was larger. For you, this means: for some people, the amount of carbohydrates could influence expenditure. But a single study is only one piece of the puzzle.
Ebbeling CB, Feldman HA, Klein GL et al. BMJ. 2018. DOI: 10.1136/bmj.k4583The team around Kevin Hall tested a central prediction of the carbohydrate-insulin model directly. As inpatients, 20 adults ate as much as they liked for two weeks each: a plant-based, low-fat diet with a high glycemic load, or an animal-based, ketogenic diet with very few carbohydrates. On the low-fat diet, they ate 689 kilocalories less per day on average.
The model would have led one to expect the opposite, and the researchers concluded that their observations did not fit its predictions. For you, this means: even a very high-carbohydrate diet can lead to considerably less eating when it consists of minimally processed foods.
Hall KD, Guo J, Courville AB et al. Nat Med. 2021. DOI: 10.1038/s41591-020-01209-1So who is right? The Harvard physician Jeffrey Flier has tried to moderate the debate neutrally. His conclusion: both models have delivered useful insights but explain different things. Neither has so far provided a confirmed explanation for why some people gain weight and others do not. He argues for researching specific mechanisms in clearly defined patient groups.
What I find interesting is where the camps meet in practice. Hall's own study showed that ultra-processed food led to more eating. Ludwig's model sees a diet with a high glycemic load as the driver, and that includes many heavily processed carbohydrates. The reasoning differs, but the direction for your plate is quite similar.
There is an individual side to this as well. If your body responds to carbohydrates with a lot of insulin, for example with insulin resistance, the carbohydrate question could matter more for you than for others. The subgroup with high insulin secretion in the Boston study points in this direction, but it is not proven. You can read more in the article Insulin resistance and weight loss.
You do not have to settle this scientific dispute to eat well. In practice, both camps land in a similar place: fewer ultra-processed foods, more real meals. Whether you respond more to carbohydrates or to processing is something you can observe, instead of deciding it ideologically.
And now you know why “insulin, not calories” falls just as short as “just count calories”.
So is calorie counting pointless?
Maybe you are now wondering whether you should delete the app right away. It is not that simple.
A team at the University of Pittsburgh analyzed 22 studies on self-monitoring during weight loss: food diaries, activity logs and regular weighing. Consistently, there was an association between self-monitoring and weight loss. Because of methodological weaknesses, however, the researchers rated the evidence as weak.
For you, this means: counting can be valuable as a magnifying glass. It can show you patterns you would otherwise miss.
Burke LE, Wang J, Sevick MA. J Am Diet Assoc. 2011. DOI: 10.1016/j.jada.2010.10.008In my clinical experience, counting can be very useful for a limited time. For example, to calibrate portions or to see how much protein you actually eat. As a permanent steering wheel for every day, on the other hand, it wears many people down.
If food is tied up with control, fear or binge eating for you, counting can be more of a risk than a tool. Then the topic belongs in empathetic professional care. You can read more in the article Understanding eating disorders.
Calorie counting is a thermometer, not a heater. It can show you where you stand. It cannot regulate how your body responds. Gripping the thermometer ever tighter will not make you any warmer.
And now you know why the app may be a tool, but not a judge.
It is about more than a number
Counting can take up a lot of space in your head. Every invitation becomes a math problem, every piece of birthday cake a negotiation. Maybe you know that silent calculating at the family table.
Many people I work with only notice how loud this constant calculating was once they let go. And how much attention it frees up for other things: for taste, for conversation, for the feeling of being full.
Energy is not a luxury. Energy is freedom. The freedom to sit at the table without secretly counting. The freedom to feel hunger and fullness yourself again, instead of reading them off a screen.
A small exercise for your next meal: afterwards, do not ask yourself whether you stayed within your limit. Ask yourself whether you are full and how you feel.
And now you know why losing weight is never only about kilos.
Three levers that may carry more weight than a stricter number
Instead of making the number ever stricter, you can change the conditions under which your body eats and regulates.
Quality before arithmetic
Build your meals mostly from minimally processed foods and include a protein source in every main meal. This can help steer how much you eat, without you knowing every number.
Signals instead of sums
For a while, observe your hunger before and your fullness after eating, your sleep and your energy. If you want to count, do it for a limited time to calibrate portions, not as a permanent state.
Respect the feedback loop
Choose a deficit you can maintain without constant hunger, and plan for the time after weight loss as well. Protect your sleep and recovery, because hunger and appetite are not purely a matter of willpower.
What you can have checked by a doctor
- Thyroid: TSH, supplemented by the free thyroid hormones if anything looks unusual. More on this in the article Thyroid and weight.
- Medications: Some medications can affect appetite or weight. Do not change anything on your own, talk to your doctor instead.
- Blood sugar and insulin status, especially with belly fat, cravings or diabetes in the family.
- Sleep and stress, because both can help regulate hunger and appetite. More on this in the article Sleep and weight loss.
- Rapid weight gain with swollen legs, shortness of breath or clearly less urine.
- Unintended, rapid weight change without an obvious reason.
- Binge eating, vomiting after eating or intense fear of eating.
And now you know where you can start without counting even more strictly.
What is well supported and what remains open
Supported by randomized trials
Reduced-calorie diets led to similar weight loss regardless of the nutrient split. During overfeeding, calories determined fat gain. Under inpatient conditions, ultra-processed food led to about 500 kilocalories more eaten per day.
Supported by measurement and follow-up studies
Self-reported energy intake is often erroneous. Labels and standard factors can deviate considerably. Fitness trackers estimate expenditure imprecisely. After a diet, appetite hormones and hunger can remain altered for over a year.
Still open
Whether, and for whom, carbohydrates meaningfully change expenditure via insulin is disputed. How strongly gut bacteria influence energy absorption in an individual is unclear. There is no generally accepted set point model.
Clinical experience
In my practice, I observe that in many people evening hunger and mood change first, before the scale responds. That is experience, not a study result.
Frequently asked questions about the calorie myth
Is calorie balance real, or is it a myth?
Why am I gaining weight even though I count calories?
How accurate are calorie counts on labels and in apps?
How accurately does a fitness tracker measure calories burned?
Why does losing weight get harder after the first few kilos?
Is a calorie just a calorie?
Do carbohydrates make you fat through insulin?
Is there a set point for body weight?
Is calorie counting pointless?
What can I do instead of counting calories?
More articles in the Weight Loss Guide
- Understanding weight holistically
- The calorie myth: quality over quantity
- Why am I not losing weight even though I eat little?
- Leptin and insulin: the weight hormones
- Understanding hunger and satiety
- Unprocessed food and satiety
- Insulin resistance and weight loss
- Cravings: where they come from
- Sleep and weight loss
- Boosting metabolism: what counts
- Blood sugar and weight loss with a CGM sensor
- Silent inflammation and weight
Connections to other topics
A calorie is not just a calorie
Almonds, the work of digestion and gut bacteria: what the body makes of a calorie.
NutritionCalorie deficit: why it is not enough
What the body does when you eat less, and why the same deficit plays out differently.
NutritionSatiety and protein
Why feeling full is a signal, not an act of will.
NutritionThyroid and weight
How an underactive thyroid can affect energy expenditure.
ThyroidZone 2 training and fat metabolism
What calm endurance training can change in your metabolism.
MovementUnderstanding eating disorders
When eating becomes a battle and counting burdens more than it helps.
NutritionSources
All studies were checked via PubMed against title, authors, year, journal and DOI, and key DOIs additionally via the Crossref DOI registry. Figures on study results come from the respective abstracts. The study type is given in square brackets.
- Sacks FM, Bray GA, Carey VJ et al. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med. 2009;360(9):859-73. DOI: 10.1056/NEJMoa0804748 · PMID 19246357 [RCT, n=811, 2 years]
- Bray GA, Smith SR, de Jonge L et al. Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating: a randomized controlled trial. JAMA. 2012;307(1):47-55. DOI: 10.1001/jama.2011.1918 · PMID 22215165 [RCT, inpatient, n=25]
- Urban LE, Dallal GE, Robinson LM, Ausman LM, Saltzman E, Roberts SB. The accuracy of stated energy contents of reduced-energy, commercially prepared foods. J Am Diet Assoc. 2010;110(1):116-23. DOI: 10.1016/j.jada.2009.10.003 · PMID 20102837 [Real-world, laboratory measurement of 39 meals]
- Novotny JA, Gebauer SK, Baer DJ. Discrepancy between the Atwater factor predicted and empirically measured energy values of almonds in human diets. Am J Clin Nutr. 2012;96(2):296-301. DOI: 10.3945/ajcn.112.035782 · PMID 22760558 [RCT, crossover, n=18]
- Jumpertz R, Le DS, Turnbaugh PJ et al. Energy-balance studies reveal associations between gut microbes, caloric load, and nutrient absorption in humans. Am J Clin Nutr. 2011;94(1):58-65. DOI: 10.3945/ajcn.110.010132 · PMID 21543530 [Pathophysiology, inpatient balance study, n=21]
- Lichtman SW, Pisarska K, Berman ER et al. Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. N Engl J Med. 1992;327(27):1893-8. DOI: 10.1056/NEJM199212313272701 · PMID 1454084 [Pathophysiology, comparison study with calorimetry, n=10 vs. 80]
- Bajunaid R, Niu C, Hambly C et al. Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake. Nat Food. 2025;6(1):58-71. DOI: 10.1038/s43016-024-01089-5 · PMID 39806218 [Real-world, analysis of 6,497 doubly labeled water measurements]
- Shcherbina A, Mattsson CM, Waggott D et al. Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort. J Pers Med. 2017;7(2):3. DOI: 10.3390/jpm7020003 · PMID 28538708 [Validation study, n=60, seven devices]
- Pontzer H, Durazo-Arvizu R, Dugas LR et al. Constrained Total Energy Expenditure and Metabolic Adaptation to Physical Activity in Adult Humans. Curr Biol. 2016;26(3):410-7. DOI: 10.1016/j.cub.2015.12.046 · PMID 26832439 [Cohort, cross-sectional analysis, n=332]
- Polidori D, Sanghvi A, Seeley RJ, Hall KD. How Strongly Does Appetite Counter Weight Loss? Quantification of the Feedback Control of Human Energy Intake. Obesity (Silver Spring). 2016;24(11):2289-2295. DOI: 10.1002/oby.21653 · PMID 27804272 [RCT, secondary analysis with modeling, n=153]
- Sumithran P, Prendergast LA, Delbridge E et al. Long-term persistence of hormonal adaptations to weight loss. N Engl J Med. 2011;365(17):1597-604. DOI: 10.1056/NEJMoa1105816 · PMID 22029981 [Pathophysiology, intervention study without control group, n=50]
- Hall KD, Farooqi IS, Friedman JM et al. The energy balance model of obesity: beyond calories in, calories out. Am J Clin Nutr. 2022;115(5):1243-1254. DOI: 10.1093/ajcn/nqac031 · PMID 35134825 [Review]
- Speakman JR, Levitsky DA, Allison DB et al. Set points, settling points and some alternative models: theoretical options to understand how genes and environments combine to regulate body adiposity. Dis Model Mech. 2011;4(6):733-45. DOI: 10.1242/dmm.008698 · PMID 22065844 [Review]
- Hall KD, Ayuketah A, Brychta R et al. Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake. Cell Metab. 2019;30(1):67-77.e3. DOI: 10.1016/j.cmet.2019.05.008 · PMID 31105044 [RCT, crossover, inpatient, n=20]
- Westerterp KR. Diet induced thermogenesis. Nutr Metab (Lond). 2004;1(1):5. DOI: 10.1186/1743-7075-1-5 · PMID 15507147 [Review]
- Ludwig DS, Aronne LJ, Astrup A et al. The carbohydrate-insulin model: a physiological perspective on the obesity pandemic. Am J Clin Nutr. 2021;114(6):1873-1885. DOI: 10.1093/ajcn/nqab270 · PMID 34515299 [Review, perspective]
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- Hall KD, Guo J, Courville AB et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27(2):344-353. DOI: 10.1038/s41591-020-01209-1 · PMID 33479499 [RCT, crossover, inpatient, n=20]
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This article is for information only and does not replace a medical examination or consultation. If your weight rises without an obvious reason, have the cause checked by a doctor.