Does fat make you fat? The story of a misconception
Where the sentence comes from, who paid the bill for it in 1967 and what the strictest experiments have shown since. Including the places where the results are uncomfortable.
All guides from the nutrition cluster
Already published in this category
I consider the fear of fat a misconception. And I am watching the counter movement repeat the same thinking error in the opposite direction. A macronutrient is not an explanation for a body.
You are standing in front of the chilled shelf. On the left the low fat yoghurt, 0.1 percent, in friendly white. On the right the Greek one, 10 percent, in the heavy pot. And somewhere inside you sits a sentence you have never checked, because everyone says it.
Fat makes you fat.
Maybe you avoided butter for years and wondered why nothing was moving. And maybe at some point you heard that it is all the other way round: the fat is not to blame, the bread is.
Both sentences are too simple for the body you have. The first can be traced historically in detail, and it does not hold. The second is popular, but the strictest experiments do not support it. I will show you both. Including where the result does not suit me.
What awaits you here
- How a heart question of the 1950s turned into a weight rule
- Who paid for a consequential review article in 1967
- What happened when 48,835 women really did eat a low fat diet
- Low fat versus low carb: what twelve months of direct comparison give
- What was measured on the metabolic ward when nobody could cheat
- Where the carbohydrate insulin model has genuine strength
- Why nuts and potato crisps put the whole question differently
- Why this debate generates so much anger
- Four questions that bring more than any macro split
1. The sentence that was never tested that way
Ask yourself something different for a moment. Not whether fat makes you fat. But: how do you know that?
Most people cannot answer it. The sentence is simply there. Yet it is the translation of an entirely different question. In the 1950s the topic was not weight, it was heart attacks. The physiologist Ancel Keys from Minnesota suspected the fats in food. Out of that came the Seven Countries Study.
Keys followed 11,579 healthy men in seven countries over 15 years.
Of 2,288 deaths, the cardiac deaths were linked to the share of saturated fatty acids. No link was found to the carbohydrate share. And, this is the point: none to body weight either.
For you that means: the most famous study behind the fear of fat never answered the weight question.
Keys A et al. Am J Epidemiol. 1986;124(6):903-915. PMID: 3776973 [Cohort, n=11,579]I do not want to belittle Keys. His team documented cleanly that this was about country averages. His colleague Henry Blackburn openly placed the study thirty years later as a hypothesis generator, not as proof.
The problem arose later. In the public translation, a heart hypothesis about saturated fatty acids became a rule about body fat. Two different questions, pushed into one sentence.
In 1977 a committee of the US Senate recommended less fat, in 1983 the United Kingdom followed. Zoë Harcombe later asked the most obvious question: which randomised trials were on the table at the time?
Harcombe searched for all randomised trials on dietary fat and heart disease published before 1983.
There were six, with 2,467 men and 370 deaths. Cholesterol fell clearly, mortality did not move.
For you that means: the recommendation came before the testing, not after it.
Harcombe Z et al. Open Heart. 2015;2(1):e000196. DOI: 10.1136/openhrt-2014-000196 [Meta-analysis, k=6, n=2,467]The work is contested: few trials, mostly secondary prevention. The same group followed up in 2016 with 62,421 people and the same pattern. Christopher Ramsden recovered the lost raw data of the Minnesota Coronary Experiment for this question. That, however, is a question of fat quality and belongs in the article on the cholesterol myth.
The fat debate on a timeline
The Seven Countries Study begins
Keys examines cardiac mortality and diet. The question is the heart, not the scales.
The sugar foundation funds a review
Aim and selection of material are shaped along the way, the funding is not disclosed.
The review appears in the New England Journal of Medicine
Fat and cholesterol take the front seat, evidence on table sugar is downgraded.
The low fat recommendation becomes state policy
Randomised evidence for it did not exist at that point.
The Women's Health Initiative recruits
48,835 women are randomised.
The result is in
0.4 kg difference after 7.5 years, no change in heart attack and stroke.
Cochrane and the metabolic ward
Cochrane puts the effect of reducing fat at 1.5 kg.
The documents become public
Kearns and colleagues publish the internal papers of the sugar foundation.
DIETFITS
609 people, twelve months, low fat versus low carb. No meaningful difference.
The most direct test
Hall measures 689 kcal per day less intake on the low fat diet.
A recommendation is not a measurement. It is a decision under uncertainty, taken by people who had to act before the data were there. That is not an accusation.
And now you know why this sentence sounds so self evident, although it answers a question that was never asked.
2. Who paid the bill in 1967
There is one point in this story where I pause every time. Not because it is scandalous. Because it happened so undramatically. In 2016 three researchers from San Francisco published an analysis of internal documents of the Sugar Research Foundation, the research foundation of the American sugar industry.
Cristin Kearns, Laura Schmidt and Stanton Glantz reconstructed the chronology of a research project from internal papers.
In 1965 the foundation funded a literature review that appeared in the New England Journal of Medicine in 1967. It helped set the aim and received drafts. The review highlighted fat and cholesterol and downgraded the evidence on table sugar, without naming the funding.
For you that means: part of what counted as settled came about in a frame you could never see.
Kearns CE, Schmidt LA, Glantz SA. JAMA Intern Med. 2016;176(11):1680-1685. DOI: 10.1001/jamainternmed.2016.5394 [Document Analysis]Documented are the funding, the involvement in setting the aim and the missing disclosure. Not documented is falsified data. The effect here arises more through the choice of question. That is subtler and therefore more powerful.
The same group reconstructed Project 259 in 2017, an experiment in germ free rats funded by the foundation. Under a sugar rich diet an enzyme rose there that had previously been linked to bladder cancer. The project ended without publication. Animal data are not transferable. What is remarkable is how it was handled.
This is not about guilt and not about a conspiracy, it is about framing. Whoever pays for the question can influence the answer without touching a single number. That is exactly why disclosure is standard today.
And now you know why the suspicion against sugar needed decades to be heard.
3. Putting it to the test: almost 49,000 women
At this point you are probably expecting the next sentence. The one that is everywhere: that the low fat recommendation made us fat.
I cannot write it. Because at some point somebody went and looked.
Barbara Howard randomised 48,835 postmenopausal women to an intensively supported low fat diet or their usual diet. Without a weight loss goal, without a calorie target.
The intervention group lost 2.2 kg in the first year and stayed lighter: 1.9 kg difference after one year, 0.4 kg after 7.5 years. Neither group showed a tendency to gain.
For you that means: the low fat diet did not make these women fat. But after seven and a half years it also moved only 400 grams.
Howard BV et al. JAMA. 2006;295(1):39-49. DOI: 10.1001/jama.295.1.39 [RCT, n=48,835]The same randomisation was analysed for heart and circulation over 8.1 years. For coronary heart disease the hazard ratio was 0.97, for stroke 1.02. Eight years of eating low fat, with a level of support that nobody gets in everyday life. And the curve does not move.
The highest level of evidence says the same. A Cochrane review by Lee Hooper analysed 32 randomised trials with around 54,000 people, all without an intention to lose weight. Result: minus 1.5 kg, stable over the years. In the cohort studies, mostly no link at all was found between fat intake and later body fat. Hooper L et al. Cochrane Database Syst Rev. 2015;(8):CD011834. PMID: 26250104 [Systematic Review]
"The low fat recommendation made us fat" sounds good and does not match the intervention level. Obesity rates rose after 1977. That is a parallel in time, not a tested cause. At the same time portions grew larger, movement grew less, and the market filled with reduced fat products in which taste was replaced by sugar and starch.
Low fat did not make people fat. Low fat did almost nothing. A rule that occupied millions of people for forty years moves 400 grams in its largest test.
And now you know why I become cautious when a single lever is meant to explain a whole era.
4. Low fat versus low carb: the duel without a winner
If you want to lose weight today, you apparently have to pick a camp. Team butter or team oats. The question has long since become a question of identity.
Luckily, somebody let both camps compete directly against each other.
Christopher Gardner randomised 609 adults at Stanford to twelve months of a healthy low fat or a healthy low carbohydrate diet, without counting calories.
Weight fell by 5.3 kg on low fat and by 6.0 kg on low carbohydrate. The difference was not statistically meaningful. Neither gene patterns nor insulin secretion predicted who did better.
For you that means: when both sides eat real food and stop counting, after a year they land at almost the same point.
Gardner CD et al. JAMA. 2018;319(7):667-679. DOI: 10.1001/jama.2018.0245 [RCT, n=609]DIETFITS does not stand alone. In POUNDS Lost, 811 people on four different diets all landed between minus 2.9 and minus 3.4 kg after two years. The strongest predictor was a different one and rather disarming: 0.2 kg per group session attended. Not the macro split. Attendance.
| Study | People | Duration | Result |
|---|---|---|---|
| DIETFITS (Gardner 2018) | 609 | 12 months | 5.3 versus 6.0 kg, not meaningful |
| POUNDS Lost (Sacks 2009) | 811 | 24 months | all four diets 2.9 to 3.4 kg |
| DIRECT (Shai 2008) | 322 | 24 months | 2.9 / 4.4 / 4.7 kg for low fat, Mediterranean, low carb |
| Meta-analysis (Tobias 2015) | 68,128 | from 12 months | 1.15 kg advantage for low carb |
| Meta-analysis (Bueno 2013) | 1,415 | from 12 months | 0.91 kg advantage for ketogenic diets |
The two meta-analyses are the most honest summary of this debate. I describe ketogenic nutrition as a form of therapy separately in the article on ketogenic diets and mental illness.
The advantage for fewer carbohydrates is real. It is just small: about one kilo after a year. That is enough for a headline, not for the sentence "carbohydrates make you fat".
And now you know why both camps can point to their studies and both still overstate the case.
5. What happens in the lab when nobody can cheat
All the studies so far have the same problem. People do not eat what is written on the sheet.
There is one place where that does not happen: the metabolic ward. People live there, every meal is weighed, energy expenditure is measured in a chamber. The metabolism researcher Kevin Hall has run several experiments there. I write the results down as they are. Partly because they contradict my own leaning.
Hall had 19 people with obesity live as inpatients and gave them either fewer carbohydrates or less fat for six days, at exactly the same calorie count.
Cutting carbohydrates led to 53 grams of body fat loss per day, cutting fat to 89 grams, so clearly more.
For you that means: at the same calorie amount, the body lost more fat on less fat. Exactly the reverse of the popular story.
Hall KD et al. Cell Metab. 2015;22(3):427-436. DOI: 10.1016/j.cmet.2015.07.021 [RCT, n=19]The authors name the limits themselves: six days, 19 people, isocaloric. In 2016 the same group tested a ketogenic diet in 17 men. Energy expenditure rose by 57 to 151 kcal per day, yet the loss of body fat slowed down.
In 2021 Hall had 20 adults live as inpatients and eat, for two weeks each, a plant based diet with 75 percent carbohydrates and a ketogenic diet with 76 percent fat, both times as much as they wanted.
On the low fat diet with the high glycaemic load, the same people ate 689 kcal per day less. The authors write that the predictions of the carbohydrate insulin model cannot be reconciled with this.
For you that means: when eating freely, people ate the least on the most carbohydrate rich diet.
Hall KD et al. Nat Med. 2021;27(2):344-353. DOI: 10.1038/s41591-020-01209-1 [RCT, n=20]What the model predicts
- A high glycaemic load drives insulin upwards
- Insulin pushes energy into the fat cells
- Consequence: more hunger, more intake
- Consequence: lower energy expenditure
What was measured on the ward
- 689 kcal per day less intake at a high glycaemic load
- 89 versus 53 grams of fat loss per day in favour of cutting fat
- 26 kcal per day expenditure advantage across 32 feeding studies, also in favour of lower fat
- Ketogenic: expenditure slightly higher, fat loss slower nonetheless
The 26 kilocalories come from an analysis by Kevin Hall and Juen Guo across 32 feeding studies. Why a calorie in the body is still not the same as a calorie is described in the article on the calorie in metabolism. Even the animal data sit crosswise: in a study in mice, of all things a higher fat share went along with more intake and more body fat. That is not transferable to you.
If a text contains only studies that support the author's thesis, you have not read knowledge, you have read a selection. These works have limits: two weeks per phase, twenty people, no everyday cues. They are still the most precise thing available.
And now you know why I cannot write the sentence "carbohydrates are more likely to make you fat" in that blanket form, even though it feels good.
6. Where the carbohydrate insulin model stays strong
And yet. In my consultations there regularly sits someone for whom less bread and less sweet food changed everything. Not three kilos, considerably more. That cannot be explained with averages.
The explanation for it is called the carbohydrate insulin model, from David Ludwig and Cara Ebbeling. Carbohydrates with a high glycaemic load drive blood sugar up, the pancreas answers with insulin, and insulin is a storage signal. According to this model it can direct energy into the fat cells. The rest of the body might then lack it, so hunger arises and expenditure falls.
What I find remarkable is that the authors name the weakness themselves: the feeding studies so far were not strict enough to test the model. This honesty is stronger than any outside criticism. Ludwig DS, Ebbeling CB. JAMA Intern Med. 2018;178(8):1098-1103. PMID: 29971406 [Mechanism Review]
The interesting part is not the whether. It is the for whom.
Cara Ebbeling measured insulin after a glucose load in 73 young adults with obesity and then randomised them to a low glycaemic load or a low fat diet.
Overall no difference. In the 28 people with insulin above the median, however, weight loss after 18 months was 5.8 kg compared with 1.2 kg. Below the median nothing showed up.
For you that means: for some people cutting carbohydrates is a strong lever, for others hardly one at all.
Ebbeling CB et al. JAMA. 2007;297(19):2092-2102. DOI: 10.1001/jama.297.19.2092 [RCT, n=73]Even sharper is the finding by Marc-André Cornier. He divided 21 women with obesity by their fasting insulin. The insulin sensitive ones lost 13.5 percent on a carbohydrate rich diet, the insulin resistant ones the other way round 13.4 percent on the lower carbohydrate one. Same diet, opposite result, in 21 participants. Please keep both in mind. More on this in the article on insulin resistance and weight loss.
More robust is the analysis by Mads Hjorth across three randomised trials. In one of them, people in the prediabetic range regained 5.83 kg more on a high glycaemic load, people with normal values only 1.44 kg. In a study of 164 adults after weight loss, energy expenditure in the top insulin third was 308 kcal per day higher. Ghrelin and leptin were lower, more on that in the article on leptin and insulin.
This 2018 study was sharply criticised on methodological grounds and stands in contrast to the 26 kilocalories from Hall and Guo. And DIETFITS, with 609 people the largest investigation on this, found no link between insulin secretion and diet success. I cannot dissolve this contradiction, only leave it visible.
A third lens comes on top. In an Israeli investigation, 800 people wore a glucose sensor for a week, and 46,898 meals were recorded. The responses to identical meals differed considerably. More on this in 14 days of glucose sensor.
Documented by large randomised trials: on average the macro split decides little. Mechanistically plausible, human studies inconsistent: people with a high insulin response might respond more strongly. In my clinical experience: exactly these people report big changes to me. Observation, not proof.
And now you know why two people with the same breakfast can tell two different stories without either of them lying.
7. Why nuts and crisps put the question differently
Nuts are about half fat. Potato crisps are starch and fat. By macronutrient logic both would have to pull in the same direction. They do the opposite.
Dariush Mozaffarian analysed three US cohorts with 120,877 initially lean people over up to 20 years. Per additional daily serving and four year period, converted from pounds: potato crisps plus 0.77 kg, sugary drinks plus 0.45 kg, nuts minus 0.26 kg, yoghurt minus 0.37 kg. The most fat rich food on the list sits right at the bottom for weight gain. Mozaffarian D et al. N Engl J Med. 2011;364(25):2392-2404. PMID: 21696306 [Cohort, n=120,877]
These are observational data, not causes. But there is an experiment on exactly this question.
Kevin Hall had 20 adults eat as inpatients for two weeks ultra processed and two weeks unprocessed. Calories on offer, energy density, macronutrients, sugar and fibre were matched.
On the ultra processed diet the same people ate 508 kcal per day more. They gained 0.9 kg, on the unprocessed one they lost 0.9 kg.
For you that means: with identical macronutrients, processing decided over a good 500 calories a day.
Hall KD et al. Cell Metab. 2019;30(1):67-77.e3. DOI: 10.1016/j.cmet.2019.05.008 [RCT, n=20]Why this is so hangs on chewing time, fibre structure and satiety signals, in detail in the article on unprocessed food and satiety. Twelve experts around Arne Astrup formulated the core sentence in 2020: the health effect of a food cannot be derived from a single nutrient group. What that means for fat quality is described in the articles on omega-3 and the calorie myth.
For the carbohydrate side there is a similarly clear answer. Andrew Reynolds analysed 185 prospective and 58 clinical studies. At a high fibre intake, total mortality was 15 to 30 percent lower, with the greatest benefit at 25 to 29 grams per day.
The same work rated glycaemic index and glycaemic load as weakly supported. So of all things the measure on which the carbohydrate insulin model is built. Fibre and whole grains are better documented, more on that in the article on fibre.
That leaves PURE, on almost every German page the star witness against carbohydrates: 135,335 people, 18 countries, in the highest carbohydrate fifth 28 percent higher total mortality. Three things are rarely mentioned alongside. The endpoint was mortality, not weight. For cardiovascular disease no increased risk was found. And the top fifth was above 70 percent of energy, from a rice and wheat dominated diet in poor countries.
Four questions to ask a food that bring more than the nutrition label
- How many steps lie between field and plate? The more processing, the more likely you eat more without noticing.
- Do you have to chew? Chewing time is satiety time. Liquid calories bypass almost every brake.
- How much fibre and whole grain is in it? The best documented quality marker for carbohydrates.
- How much protein does it bring along? In the processing study, protein intake alone stayed constant.
The nutrient does not make you full. The food makes you full. Between a nut and a crisp lie the same macronutrients and two different signals to the gut, the nervous system and the hormonal axis.
And now you know why the debate of fat versus carbohydrate ends at the checkout, but not in your body.
8. Why this debate is so charged
If you read the comments under a nutrition video, you may be surprised by the tone. Hardly any medical topic generates so much anger. There are four reasons for that, and none has anything to do with biochemistry.
First: it is about identity. What you eat hangs on family, origin, morality and often on shame. If someone attacks your way of eating, that can feel to your nervous system like an attack on you.
Second: there was a genuine breach of trust. The documents from 1967 are real. Anyone who has lived through that often mistrusts the next recommendation faster. Understandable, and quickly a blanket judgement.
Third: both camps have genuine data. Kevin Hall measures carefully. David Ludwig measures carefully. Their results do not fit together. Then it is often not the argument that decides, but belonging.
Fourth: the effects are small, the stories big. One kilo of difference after a year does not carry a book title. "The secret fattener on your plate" does. Attention rewards clarity. The body is not clear cut.
When two clever camps fight each other for thirty years with good data, usually the question has been framed wrongly. Not the answer given wrongly.
That understanding is possible is shown by a paper from 2018. David Ludwig, Walter Willett, Jeff Volek and Marian Neuhouser wrote together in Science, with positions ranging from plant focused to ketogenic. They agreed on one point: the premise that a high fat intake causes excess weight and heart disease no longer holds.
You do not have to choose a camp. Classical nutritional medicine has something very robust on offer with fibre, whole grains and vegetables. What an integrative view adds is the question about you: your insulin situation, sleep, inflammatory load, digestion.
And now you know why in the next argument you should look not for the loudest answer, but for the question behind it.
9. And what does that mean for your plate?
You want to know what you will do differently tomorrow morning. I deliberately give you no macro split, because the data do not support one. What they do support are four questions.
How processed is it? The best documented lever in this text. 508 kilocalories a day, with identical macronutrients. No comparison of fat and carbohydrate reaches that order of magnitude.
How much fibre and whole grain is in it? Across 185 prospective studies the most robust quality marker for carbohydrates, clearly more robust than the glycaemic index.
What is your own glucose and insulin situation? This is where the paths part. If your fasting glucose is in the prediabetic range or your fasting insulin is high, carbohydrate quality may count for more in your case. No certainty, but an assumption that can be measured. Practical routes are described in avoiding blood sugar spikes.
What can you keep up for twelve months? In POUNDS Lost, attendance at the sessions predicted success better than any macro split. A way of eating that you hate after six weeks loses in the end against one you like. More on this in the article on the calorie deficit.
From the perspective of clinical psychoneuroimmunology a fifth level comes on top. Your blood sugar also hangs on cortisol, so on stress and sleep. Inflammatory messengers can disturb insulin signalling inside the cell. And your gut flora can help decide how much of a meal arrives in you.
Fat does not make you fat. Carbohydrates do not make you fat. What does not make you full can let you gain weight. And which foods those are for you hangs on your own biology.
What I see, and what I do not know
What I observe regularly in my consultations: people with high fasting insulin who respond strongly to fewer refined carbohydrates. People in whom the afternoon slump changes after switching to unprocessed food. And people for whom neither does much, because the driver lies in sleep, in stress or in a silent inflammation.
What I do not know: whether the insulin response is a reliable signpost. The largest study says no, several smaller ones say yes.
If while reading you noticed that you do not know your own values at all, that can be talked through calmly. An appointment can be booked below this article.
And now you know why I do not write a number onto your plate, but hand you four questions instead.
Frequently asked questions
Does fat really make you fat?
Not in the way the sentence was meant. The Women's Health Initiative randomised 48,835 women to a low fat diet with no weight loss goal. After 7.5 years they were 0.4 kg below the control group, so they did not gain. A Cochrane review of 32 trials found 1.5 kg less body weight for a reduction in fat. Fat on its own does not explain excess weight.
Do carbohydrates make you fat?
Not as a blanket statement, and the strictest experiments argue against it. In an inpatient study at the US research centre NIH, 20 people on a very high carbohydrate, low fat diet ate 689 kcal per day less than on a ketogenic diet. Something else is well documented: heavily processed, low fibre carbohydrates go along with the strongest weight gain. The form is what matters.
What makes you gain more weight, fat or sugar?
The most honest answer is: neither one on its own. In an inpatient study with matched macronutrients, the same people ate 508 kcal per day more on an ultra processed diet. The degree of processing was decisive, not the ratio of fat to sugar. In large cohorts, crisps and sugary drinks go along with weight gain, nuts and yoghurt with weight loss.
Why was fat demonised for decades?
The question of the 1950s was a heart question, not a weight question. The Seven Countries Study by Ancel Keys found a link between saturated fatty acids and cardiac mortality, but explicitly none to body weight. Over two decades a heart hypothesis turned into a weight rule. A meta-analysis shows that in 1977 no randomised trial supported that recommendation.
Did the sugar industry pay for studies?
That is documented through original papers. Cristin Kearns, Laura Schmidt and Stanton Glantz analysed internal documents of the Sugar Research Foundation in 2016. In 1965 the foundation funded a literature review in the New England Journal of Medicine, helped set its aim and received drafts, without disclosing the funding. That is documented entanglement of interests, not proven data fraud.
Is low carb better than low fat for losing weight?
On average a little, but far less than either camp claims. A meta-analysis of 53 trials with 68,128 people found 1.15 kg more weight loss for lower carbohydrate diets after at least one year, a meta-analysis of ketogenic diets found 0.91 kg. For you, what you can keep up over months matters more.
What does the DIETFITS trial say about low carb and low fat?
Christopher Gardner randomised 609 adults at Stanford to twelve months of a healthy low fat or a healthy low carbohydrate diet, without counting calories. The result: minus 5.3 kg versus minus 6.0 kg, not statistically meaningful. The trial also tested whether gene patterns or insulin secretion predict who responds better. Neither did so here.
What is the carbohydrate insulin model in simple terms?
The idea comes mainly from David Ludwig and Cara Ebbeling. In this model, carbohydrates with a high glycaemic load drive insulin upwards, insulin can direct energy into the fat cells, the rest of the body might then lack it, so hunger arises and expenditure falls. The authors write themselves that the feeding studies so far could not test the model.
Who might benefit from a low carbohydrate diet?
The data point towards people with disturbed glucose metabolism. In an analysis of three randomised trials, people in the prediabetic range lost 6.04 kg more on a high fibre, whole grain diet than the control group, people with normal values only 2.20 kg more. The largest study so far did not find this effect.
How can I tell whether I react sensitively to carbohydrates?
Useful markers are fasting glucose, fasting insulin and the insulin response after a glucose load. Across the evidence, carbohydrate quality made the biggest difference in people in the prediabetic range. On top of that comes your personal glucose response: in 800 people and 46,898 meals, reactions to identical food varied a great deal.
Is a low fat diet still worth recommending today?
As a blanket rule for everyone it has largely lost its basis. In the Women's Health Initiative a low fat diet lowered neither heart attacks nor strokes over a good eight years. A reassessment in the Journal of the American College of Cardiology concludes that health effects cannot be derived from a single nutrient group.
Why do nuts not make you gain weight even though they contain so much fat?
In three US cohorts with 120,877 people, each additional daily serving of nuts went along with about 0.26 kg less weight gain per four year period, yoghurt with 0.37 kg less, potato crisps by contrast with 0.77 kg more. Nuts bring fibre, protein and a firm matrix with them. These are observational data, but the pattern is stable.
What does the PURE study actually say about carbohydrates?
PURE followed 135,335 people in 18 countries over a mean of 7.4 years. In the highest carbohydrate fifth, total mortality was 28 percent higher, and for cardiovascular disease no increased risk was found. The top fifth was above 70 percent of energy, mostly from rice and wheat in low income countries. The endpoint was mortality, not body weight.
This question in a wider context
The macronutrient debate is only one door. Behind it lie the questions that usually decide more for your weight: how your hunger is regulated, how strong your silent inflammatory load is, how your blood sugar reacts in everyday life and what happens when you build in eating breaks.
Hunger and satiety
Which signals decide when you stop
Silent inflammation and weight
When the immune system has a say in metabolism
Blood sugar and sensor
What a measurement in daily life can show
Intermittent fasting 16:8
What actually happens in the eating break
Scientific sources
- Keys A, Menotti A, Karvonen MJ et al. The diet and 15-year death rate in the seven countries study. Am J Epidemiol. 1986;124(6):903-915. DOI: 10.1093/oxfordjournals.aje.a114480 [Cohort, n=11,579]
- Blackburn H. Invited Commentary: 30-Year Perspective on the Seven Countries Study. Am J Epidemiol. 2017;185(11):1143-1147. DOI: 10.1093/aje/kwx071 [Review]
- McGandy RB, Hegsted DM, Stare FJ. Dietary fats, carbohydrates and atherosclerotic vascular disease. N Engl J Med. 1967;277(4):186-192. DOI: 10.1056/NEJM196707272770405 [Review]
- Kearns CE, Schmidt LA, Glantz SA. Sugar Industry and Coronary Heart Disease Research: A Historical Analysis of Internal Industry Documents. JAMA Intern Med. 2016;176(11):1680-1685. DOI: 10.1001/jamainternmed.2016.5394 [Document Analysis]
- Kearns CE, Apollonio D, Glantz SA. Sugar industry sponsorship of germ-free rodent studies linking sucrose to hyperlipidemia and cancer. PLoS Biol. 2017;15(11):e2003460. DOI: 10.1371/journal.pbio.2003460 [Document Analysis]
- Harcombe Z, Baker JS, Cooper SM et al. Evidence from randomised controlled trials did not support the introduction of dietary fat guidelines in 1977 and 1983. Open Heart. 2015;2(1):e000196. DOI: 10.1136/openhrt-2014-000196 [Meta-analysis, k=6, n=2,467]
- Harcombe Z, Baker JS, DiNicolantonio JJ et al. Evidence from randomised controlled trials does not support current dietary fat guidelines. Open Heart. 2016;3(2):e000409. DOI: 10.1136/openhrt-2016-000409 [Meta-analysis, k=10, n=62,421]
- Ramsden CE, Zamora D, Majchrzak-Hong S et al. Re-evaluation of the traditional diet-heart hypothesis: analysis of recovered data from Minnesota Coronary Experiment (1968-73). BMJ. 2016;353:i1246. DOI: 10.1136/bmj.i1246 [RCT, n=9,423]
- Howard BV, Manson JE, Stefanick ML et al. Low-fat dietary pattern and weight change over 7 years: the Women's Health Initiative Dietary Modification Trial. JAMA. 2006;295(1):39-49. DOI: 10.1001/jama.295.1.39 [RCT, n=48,835]
- Howard BV, Van Horn L, Hsia J et al. Low-fat dietary pattern and risk of cardiovascular disease: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. JAMA. 2006;295(6):655-666. DOI: 10.1001/jama.295.6.655 [RCT, n=48,835]
- Hooper L, Abdelhamid A, Moore HJ et al. Effect of reducing total fat intake on body weight: systematic review and meta-analysis. BMJ. 2012;345:e7666. DOI: 10.1136/bmj.e7666 [Meta-analysis, k=33, n=73,589]
- Hooper L, Abdelhamid A, Bunn D et al. Effects of total fat intake on body weight. Cochrane Database Syst Rev. 2015;(8):CD011834. DOI: 10.1002/14651858.CD011834 [Systematic Review]
- Gardner CD, Trepanowski JF, Del Gobbo LC et al. Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults: The DIETFITS Randomized Clinical Trial. JAMA. 2018;319(7):667-679. DOI: 10.1001/jama.2018.0245 [RCT, n=609]
- Tobias DK, Chen M, Manson JE et al. Effect of low-fat diet interventions versus other diet interventions on long-term weight change in adults. Lancet Diabetes Endocrinol. 2015;3(12):968-979. DOI: 10.1016/S2213-8587(15)00367-8 [Meta-analysis, k=53, n=68,128]
- Bueno NB, de Melo IS, de Oliveira SL et al. Very-low-carbohydrate ketogenic diet v. low-fat diet for long-term weight loss: a meta-analysis of randomised controlled trials. Br J Nutr. 2013;110(7):1178-1187. DOI: 10.1017/S0007114513000548 [Meta-analysis, k=13, n=1,415]
- 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):859-873. DOI: 10.1056/NEJMoa0804748 [RCT, n=811]
- Shai I, Schwarzfuchs D, Henkin Y et al. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med. 2008;359(3):229-241. DOI: 10.1056/NEJMoa0708681 [RCT, n=322]
- Hall KD, Bemis T, Brychta R et al. Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity. Cell Metab. 2015;22(3):427-436. DOI: 10.1016/j.cmet.2015.07.021 [RCT, n=19]
- Hall KD, Chen KY, Guo J et al. Energy expenditure and body composition changes after an isocaloric ketogenic diet in overweight and obese men. Am J Clin Nutr. 2016;104(2):324-333. DOI: 10.3945/ajcn.116.133561 [Case Series, n=17]
- 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 [RCT, n=20]
- Hall KD, Guo J. Obesity Energetics: Body Weight Regulation and the Effects of Diet Composition. Gastroenterology. 2017;152(7):1718-1727.e3. DOI: 10.1053/j.gastro.2017.01.052 [Meta-analysis, k=32]
- Ludwig DS, Ebbeling CB. The Carbohydrate-Insulin Model of Obesity: Beyond "Calories In, Calories Out". JAMA Intern Med. 2018;178(8):1098-1103. DOI: 10.1001/jamainternmed.2018.2933 [Mechanism 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 [Mechanism Review]
- Ebbeling CB, Leidig MM, Feldman HA et al. Effects of a low-glycemic load vs low-fat diet in obese young adults: a randomized trial. JAMA. 2007;297(19):2092-2102. DOI: 10.1001/jama.297.19.2092 [RCT, n=73]
- Cornier MA, Donahoo WT, Pereira R et al. Insulin sensitivity determines the effectiveness of dietary macronutrient composition on weight loss in obese women. Obes Res. 2005;13(4):703-709. DOI: 10.1038/oby.2005.79 [RCT, n=21]
- Ebbeling CB, Feldman HA, Klein GL et al. Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial. BMJ. 2018;363:k4583. DOI: 10.1136/bmj.k4583 [RCT, n=164]
- Hjorth MF, Ritz C, Blaak EE et al. Pretreatment fasting plasma glucose and insulin modify dietary weight loss success: results from 3 randomized clinical trials. Am J Clin Nutr. 2017;106(2):499-505. DOI: 10.3945/ajcn.117.155200 [RCT, secondary analysis of 3 trials]
- Zeevi D, Korem T, Zmora N et al. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015;163(5):1079-1094. DOI: 10.1016/j.cell.2015.11.001 [Cohort, n=800]
- 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 [RCT, n=20]
- Erratum to Hall 2019. Cell Metab. 2019;30(1):226. DOI: 10.1016/j.cmet.2019.05.020 [Editorial]
- Mozaffarian D, Hao T, Rimm EB et al. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364(25):2392-2404. DOI: 10.1056/NEJMoa1014296 [Cohort, n=120,877]
- Astrup A, Magkos F, Bier DM et al. Saturated Fats and Health: A Reassessment and Proposal for Food-Based Recommendations. JACC State-of-the-Art Review. J Am Coll Cardiol. 2020;76(7):844-857. DOI: 10.1016/j.jacc.2020.05.077 [Review]
- Reynolds A, Mann J, Cummings J et al. Carbohydrate quality and human health: a series of systematic reviews and meta-analyses. Lancet. 2019;393(10170):434-445. DOI: 10.1016/S0140-6736(18)31809-9 [Meta-analysis, k=185 cohorts and 58 RCTs]
- Ludwig DS, Willett WC, Volek JS, Neuhouser ML. Dietary fat: From foe to friend? Science. 2018;362(6416):764-770. DOI: 10.1126/science.aau2096 [Review]
- Hu S, Wang L, Yang D et al. Dietary Fat, but Not Protein or Carbohydrate, Regulates Energy Intake and Causes Adiposity in Mice. Cell Metab. 2018;28(3):415-431.e4. DOI: 10.1016/j.cmet.2018.06.010 [In vivo, mouse]
- Dehghan M, Mente A, Zhang X et al. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE). Lancet. 2017;390(10107):2050-2062. DOI: 10.1016/S0140-6736(17)32252-3 [Cohort, n=135,335]