(Versión en español: pinchar aquí)
In the first part of this article we have seen an experiment that clearly shows that the CICO theory is wrong.
Let us assume that the following premises are true for a normal diet, not one that absurdly forces an excess of food:
- In the short term, during the first week or the first two weeks after a dietary change, a low fat diet makes you lose more weight than a high-fat diet.
- As time goes by, a physiologic adaptation happens and the roles of the diets are exchanged, being on average the low-carbohydrate diet better for body fat loss.
I am not saying that the premises are true, I only ask that we assume for now that they are true.
In this situation a person who I will call John decides to do a meta-analysis of weight loss studies and puts together in the same meta-analysis a) a dozen studies with a duration no longer than a week that mostly show a favorable effect for low-fat diets, and b) a few studies that are a little bit longer, a couple of months at most, which show a favorable effect for low-carbohydrate diets.
John mixes all the studies in the same meta-analysis and concludes that since no diet is clearly the best one, the composition of the diet is not that relevant and that what really matters are the calories! a conclusion that is actually in contradiction with each and every one of the individual studies. How do you feel? In this hypothetical situation that I am proposing, the composition of the diet would be key in the long term and the meta-analysis would have reached just the opposite conclusion, generating noise. A person who wanted or needed to lose weight and keep the reduced weight in the long-term would have to choose the right composition of the diet to achieve that goal.
Does anyone believe that the long-term effects of a diet can be inferred from experiments that are shorter than a week? Does anyone believe that the behavior of our body after months of losing weight has anything to do, anything at all, with what happens in the first three days of following that same diet? (see)
I this article from 2017 its authors present a compilation of around twenty dietary studies. Table 2B shows us data on changes in body fat for these studies and concludes that, on average, low-fat diets help people to lose more body fat than low-carb diets do:
What are not shown in the previous graph are the durations of those studies. I copied the data from the ES column of the graph above (just as shown in that table, without checking the original articles) and I represented those values as a function of the amount of days the participants followed the diet. As we can see in the graph below, in half of the studies the diet was followed for one week or less. The duration of the study in days is represented on the horizontal axis.
Moreover, those studies with a longer duration, those where the diets are followed at least for a month, are favorable to low-carb diets (the one with the longest duration in the compilation did not use a low-carb diet, as I comment below, but two diets very high in carbohydrates):
The conclusions from the authors are amazing:
In other words, for all practical purposes “a calorie is a calorie” when it comes to body fat and energy expenditure differences between controlled isocaloric diets varying in the ratio of carbohydrate to fat.
Can you really deduce that from very short-term diet studies? It is enough for the believers in the energy balance pseudo-science, who, undoubtedly, use this type of articles to prop up their ideology, but for rest of us it is impossible to draw relevant, general or useful conclusions from this collection of experiments.
First, because of their duration: what is relevant is whether there are differences between diets in the long term, and in this compilation of studies no diet has been followed for more than two months. As a matter of fact, half of the experiments are no longer than a week. Do we want to know which diet is more effective in the long term? Let’s do the experiment, instead of making up a result from short-term data.
Secondly, the fact that some studies favor low-carbohydrate diets and some favor low-fat diets does not mean there are no differences between diets. At the beginning of this text I explained that if the differences were due to the duration of the experiment, by combining experiments of different durations in the same data pool the actual effect of the composition of the diet would be obscured in the average, when the reality would be that the composition of the diet would be key in the long-term effect of the diet. As I have said before in this blog, meta-analysis are another way of lying (see,see,see).
Thirdly, because all kinds of diets are being mixed in the comparison, from ketogenic diets maintained for a few days to diets that are simultaneously high in fat and carbohydrates that have absolutely nothing to do with healthy low-carbohydrate diets. For example, in the experiment from Rumpler et al. de 1991, the longest of all those considered in the compilation (see the last graph above), the high-fat diet was also very high in carbohydrates: 46% carbohydrates and 40% fat.
Can we infer from that result anything about a low-carbohydrate diet? Would the result have been the same if the diet had been ketogenic? The authors of the meta-analysis want us to believe that it would, but by including experiments like the one I am commenting in a meta-analysis, all they do is create misinformation.
Fourth, based on short-term studies, the authors of the meta-analysis reach conclusions that contradict the results of studies with longer durations (see). Are most of the long-term studies poorly done and their data is not reliable? Can we deduce that from 4-day long studies that have nothing to do with the long-term effects of the diets? Shall we ignore all the scientific evidence and replace it with the imagination/ideology of the authors of this meta-analysis?
Note, on the other hand, that not even the authors of the meta-analysis believe what they are doing. They downplay their own result by saying that a difference in fat accumulation of 16 g/d is «physiologically meaningless».
Figure 2B shows differences in the rate of body fat change between diets with the pooled weighted mean difference of 16 g/d (P < .0001) greater body fat loss in favor of the lower fat diets (P < .0001). These results are in the opposite direction
to the predictions of the carbohydrate-insulin model, but the effect sizes are so small as to be physiologically meaningless.
But an energy imbalance equivalent to only 1 g d of dietary fat could explain the current obesity epidemic.
A small persistent average daily energy imbalance gap between intake and expenditure of about 30 kJ per day underlies the observed average weight gain (source)
Yes, this last statement comes too from one of the authors of the meta-analysis, Kevin Hall. He should explain why 16 g/d of difference between diets is «physiologically irrelevant», as he says, but an imbalance of 1 g/d could explain the obesity epidemic, as he also says. They simply downplay their own result because it is so unbelievable, in the bad sense of the term, so erroneous, that it gives away that something is not right in its origin. Extrapolating this result to the long term makes it obvious that it is wrong. But, if it is not extrapolated to the long term, the authors of the article cannot conclude that «a calorie is a calorie».
It is not the first time that Kevin Hall interprets very short-term results as a demonstration of long-term behavior (see).
What are the postulates of the energy balance pseudo-science?
We should notice that the energy balance pseudo-science is never explicitly and rigorously formulated in a way that its postulates could be falsified. Other theories are criticized and the followers of this pseudo-science argue that, as the other theories do not seem correct, «then a calorie is a calorie» (see). This is exactly what the authors of this meta-analysis do. It is typical of pseudo-sciences to avoid formulating their postulates so that they can be subjected to falsification. With the energy balance theory the absence of well-defined dogmas allows the coexistence within this pseudo-science of factions that defend postulates that are incoherent among them (see).
The consequences of all this charlatanism are very serious: public-health dietary recommendations are still based on the stupid energy balance pseudo-science, weight loss methods that have never been proved to work are still the official treatment for obesity and we continue to blame the victims for their failure to lose weight, arguing that they are not lean because they do not show enough adherence to the diet (see,see).
As a final note, the fact that something could only be accurately measured in specific conditions, does not mean that what we measure in those conditions is useful. Maybe only weight loss studies that last three days are really reliable, because you have the participants locked in a facility and you have absolute control about what they eat and what they do. You measure everything very well and you control everything very well, but the data that you measure is rubbish because the failure of the diets is a problem that happens after following the diet for several months (see).
- 18 estudios en que los participantes “comieron menos” y no funcionó
- Pseudociencia del balance energético: definición, origen y consecuencias
- Crónicas caloréxicas (II): Mark Haub y la “twinkie diet”
- ¿Hubo intención de engañar en el estudio de Hall et al.?
- En respuesta a la restricción calórica nuestro cuerpo prioriza almacenar grasa en el tejido adiposo