I want to mention that relatively fewer studies have been done comparing different sources of carbohdyrates or fat. There are studies looking at the impact of sucrose (table sugar) vs. starch within the context of strictly controlled caloric intakes and they usually show no difference in fat loss or anything else. That is, given an identical caloric intake, the source of the carbohydrates shows minimal differences. Similar studies have been done with dietary fat, typically showing similarly small differences. This is especially true when calories are restricted.
Unfortunately, overfeeding hasn’t been examined in as great a detail in humans. There are studies comparing overfeeding of fat to carbohydrates (in the form of glucose, sucrose, or fructose) and, over the long-term gain in bodyfat are pretty much identical. The mechanism of the fat gain is different but, when the same number of calories are overfed, the same amount of fat is gained. I’d note that these studies rarely if ever include activity and that has the potential to impact on where calories ‘go’ quite significantly. Calorie Partitioning is its own complicated topic.
Studies looking at overfeeding of medium chain triglycerides (MCTs) or some newly developed dietary fats (diglycerols) also show some benefits in terms of decreased fat gain but the difference is typically small as well.
It’s also conceivable that at the extremes of obesity, where all manners of metabolic problems are occurring, a difference might be seen for different macronutrient composition diets. Even there, studies where calories are rigorously controlled generally show little to no difference for varying macronutrient composition in terms of weight loss or body composition. I’d note again that recent research is suggesting an interaction with diet and insulin sensitivity; given that insulin sensitivity often accompanies obesity, differential results might be seen.
I should probably mention that, in studies of weight changes, there is quite frequently a large degree of variance in weight loss or weight gain given an identical number of calories. As it turns out, and I discuss in Metabolic Rate: Overview, this ends up being more an issue of individual metabolism and how it adapts than the diet itself. That is, some people’s metabolic rate goes up (or down) more in response to over (or under) feeding. There is no evidence that the composition of the diet affects this to any significant degree; rather it’s a genetically based metabolic effect.
Summing up this mini-section: for the most part, studies where protein is adequate (or at least close to it), varying carbs and fats within the context of an identical caloric intake tends to have a minimal overall effect. What effect is occasionally seen tends to be small and highly variable (some subjects do better with one diet than another but there’s no consistent advantage). With the possible exception of extreme conditions (folks looking for super-leanness or folks who are super-obese), caloric intake is the greater determinant of results than the macronutrient composition.
Studies Where Calories are not Rigorously Controlled
As you might have guessed, these are generally the studies that the ‘a calorie is NOT a calorie’ folks refer to. In actuality, there are two different sets of studies in this group. The first is studies which are looking at nutrient intake on various diets. In such studies, subjects are simply given dietary guidelines (such as reduce fat to below 30% or reduce carbohydrates to 50 g/day or less) and intakes are examined.
Another data set of relevance to this discussion is studies comparing different diets (for example, recent studies have compared low-carbohydrate diets to the American Heart Association diet) under more real-world free-living conditions. Generally, in those studies, the subjects are given recommendations for the diet and let go. They typically report back to the researchers at some interval and frequently food intake is determined by means of self-reporting (which I’ve mentioned can be notoriously misleading). I want to look at each since both are illuminating to this discussion, as well as to how to choose a given diet.
The studies that look at average intakes given various recommendations are important because they often point to the real reason that a given diet works. For example, in studies where folks are told to reduce fat intake below 30% (or some other value), there is frequently an initial reduction in total caloric intake. That is, when they reduce dietary fat, their total energy intake generally goes down (at least initially). This is accompanied by weight loss. But this is not because of some magical effect of dietary fat, it’s simply because they are eating less calories. Of course, longer term studies show that most people end up compensating, eating more of other foods, so the result is pretty short lived.
Studies of low-carbohydrate diets tend to show similar results. Tell folks to reduce (or even remove) all of the carbohydrates from their diet and they tend to eat less automatically without thinking about it. Usually a lot less. What typically happens in such studies is that folks keep their protein and fat intakes roughly the same. So, by removing a food category that might make up 50% or more of total calories, they can’t help but eat less. Of course, this causes weight loss. But it’s not because of the carbs (or lack thereof) per se; rather it’s because they are eating less. There are other reasons, of course, such as decreased hunger (which not everyone experiences) and stable blood glucose that contribute to the reduction in calories but the removal of an entire food group is the main effect.
As I discuss in detail in Introduction to Dieting, many, many, many diet books rely on the rather simple prescription of ‘reduce or remove food X’ to lose weight. With X being something that contributes a lot of calories to the body, such as fat, sugars or highly refined carbohdyrates. But while such diet books typically use all kinds of pseudo-physiology to explain the effect, it’s really quite simple: if food X contributes a lot of calories to your diet and you remove food X, you’ll eat less total calories and lose weight. No magic, simple caloric restriction.
So let’s look at the second set of studies within the context. As I mentioned above, typically such studies look at the effect of different diets under free-living conditions. Similar to the results above, such studies frequently find that a given diet approach generates greater weight (or fat loss) but the effect is almost always due to differences in caloric intake.
For example, a study comparing a low-fat (but calorie uncontrolled) diet to a higher fat (calorie uncontrolled) diet will frequently see more weight/fat loss in the low-fat trial becuase the subjects ate less calories. The same goes for other comparisons. And while a few studies have shown drastically differential effects (such as greater weight loss at higher caloric intakes for a given type of diet), the methodology leaves a good bit to be desired. As I mentioned above, most use self-reporting of food intakes which tend to be notoriously inaccurate.
I should mention that, very frequently, the variance in weight loss tends to be humongous, as do reported caloric intakes. What this would tend to suggest is that, sometimes a certain diet type will reduce (or increase) food intake and sometimes it won’t. Individuals variance and food preferences can play a role as much as anything else.
Explaining the Discrepancy
So now, perhaps, we have a little bit better handle on why two totally different arguments about whether or not ‘a calorie is a calorie’ can come out of the resarch. The problem is that, most commonly, folks are referring to different data sets in making their argument.
As mentioned in the first section, there’s no doubt that studies comparing varying protein intakes almost always find better results with the higher protein intake. As you’ll see next chapter, all of the diets described in this book are based on adequate protein intake so these studies, have no relevance here. From the standpoint of anything I’ll ever write about or talk about, the real debate comes out of studies which keep protein constant and vary carbohydrates and fat and there are two data sets in this regards.
On the one hand are the studies were calories are rigorously controlled, where the subjects are provided their daily food intake. In those studies, differences in weight loss or body composition changes tend to be small and highly variable (some people do slightly better on one diet versus another but there’s no consistent pattern). This is the pattern I’ve observed in the real-world as well: some people do report slightly better results on one diet versus another but there’s no consistent superiority of a given approach.
Simply put, different diets are better under circumstances as discussed in Comparing the Diets.
On the other hand are studies examining spontaneous food intakes on various diets, typically examining a single diet such as low-fat or low-carbohydrate. Such studies frequently find that spontaneous food intake goes down or up given certain macronutrient intakes. For example, when fat intake is reduced below a certain point, claoric intake frequently goes down. The same occurs when carbohydrate intake goes below a certain point. Diets high in both fat (40% of total calories) and carbs frequently show higher spontaneous caloric intakes.
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