Why carbo-load, when you can fat load? This came to me the night before a long training run (5 hours, ok 4!). I was at a birthday celebration, and admittedly, indulged in all the fried food and ice cream with whipped cream (oh well, once I had given in to temptation, I might as well go all out) I could lay my hands on. I anticipated how awful my run the next day was about to feel, knowing I forfeited my planned carbo-loaded meal. While fat loading, I justified in my head that if fat is a fuel source that we pull from when glycogen (the limited source of fuel) depletes, then my delicious dinner this night could potentially spare glycogen. Strangely enough, I did have one of my most energized runs the following day. As any good scientist would do, I began my literary search for this exciting venture – could this be the beginning of a new trend in endurance training. My mission: open up the possibility of eating ice cream, hot wings, pizza, barbeque, chocolate… all the things that most regimented athletes dream of, and improve their performance to boot. My ego was quickly depleted when I discovered that this was not a new hypothesis.
The first claims to diet having an influence on performance emerged as early as 1939, when research done by Christensen and Hansen showed that an individual’s typical diet can determine the fuel likely utilized during aerobic activity (1). Jansson and Kaijser experimented with high fat diets and found them to be adaptive, meaning, a high fat diet, low carb diet (defined as greater than 60% intake from fat and less than 20% intake from carbs) for as little as three days could increase fat oxidation during moderate intense exercise (2). Unfortunately, diminished capacity of glycogen was also a result. Phinney (1983) took this further to examine the effect on longer term high fat diets on glycogen capacity (3). Close to a month of a high fat intake (> 85% of daily calories from fat) versus the typical balanced diet for most athletes (60% carbs, 20% protein, ~20% fat) showed that glycogen capacity was more stable. Phinney thus concluded at that time, that a long term high fat diet has potential in increased performance and endurance. Phinney’s design was not without flaws: Firstly, the subjects were trained cyclists, and it is not uncommon that a trained athlete can maintain a moderate intensity for a longer period, even in a fasted state. The results were also skewed by one subject with a greater than 60% difference in performance to all the other subjects.
A study performed in 1996 by Hegle, used untrained cyclists split into two groups, one group on a high fat eating plan for the seven week training period and the other on high carbs during this time (4). This study represented the longest carbohydrate restriction scenario to date. The untrained criterion intended to level the playing field for potential preconditioning. The results showed that the high fat diet did not have any advantage on performance over the high carb diet. Comparing these results against the studies of high fat diets in trained athletes merely points out that high fat diets may in fact weaken an adaptation to training.
More recently, other studies examined the hypothesis that following a fat loading phase for a number of days, followed by a shorter carbohydrate loading phase, could solidify the glycogen storing capacity. In fact, these studies used the strategy similar to the original carbo-loading protocol which incorporated a depletion phase. (During depletion, carbs are minimized almost to the point of zero percent of caloric intake before the loading phase began.) For athletes used to strict nutrition regimens of healthful foods, depletion by eating fat was heavenly. A study performed at Indiana University found that this works in lab animals (rats) (5). Rats on a high fat diet could probably win the rat race but when researchers in New Zealand applied this hypothesis to humans, the fat oxidation increased but not without reduced performance. The New Zealand researchers compared a 14 day high fat diet to a 11.5 day high fat diet followed by a 2.5 day carbo-loading phase. They analyzed the results of fat oxidation in a 15 minute time cycle followed by a 100 km cycle. The rationale was that a couple of weeks on the high-fat diet stimulates an increase in fat oxidation capacity during exercise, and following this adaptation period, the carbo-loading maximizes muscle glycogen stores required for the higher intensity or maximal endurance effort. Performance was slightly better for the 15 minute cycle after the high carb diet but not significantly. No significant difference in performance for the 100 km test existed. However, fat oxidation was significantly greater during the 100km cycle test following the 14 day high fat diet. This, amongst other similar studies, suggests that endurance may be enhanced following fat loading, but it may reduce performance in shorter, high intensity bouts of exercise (6).
Tim Noakes, a researcher from Cape Town also found that carbo-loading after a number of days of high fat was a strategy that worked (7). He compared the effects of a high fat diet against a regular typically balanced diet for 2 weeks, both followed by a carbo-loading phase, on the performance of a cycling time trial. The high fat diet increased total fat oxidation and reduced carbohydrate oxidation over both a 2.5 hour moderate intensity trial and a 20km time trial. Moreover, the cyclists completed the 20km time trial 4.5% faster on the high fat diet. However, this design had a subtle flaw: Improved fat burning was unintentionally favored. Since a moderate 2.5 hour ride practically ensures glycogen depletion before starting the time trial regardless of the pre work out meal, a reliance on fat oxidation is forced. If the 2.5 hour ride followed a time trial, a high fat diet would unlikely increase performance, reinforcing what the New Zealanders found. Even muscles trained to burn fat will turn to carbohydrates as a fuel source at higher intensities.
To recommend a fat loading strategy for endurance and ultra-endurance athletes is tempting due to the probability of a lower intensity of training and racing. However, the strategic activities that occur in competition, often involve inconsistent surges, such as climbing hills, sprints to pass competitors, or sprints to the finish. Glycogen sparing is only obtained if one performs exercise at low to moderate intensity (at most). In a competitive situation, the intensity threshold that causes the muscles to activate carbohydrate oxidation, will more likely be crossed, even for an average endurance athlete. Noakes does suggests that any activity greater than three hours is likely to have a low enough intensity to rely on fat as a fuel and thus a high fat diet for a few days prior, would not be detrimental to performance. It may be worth a try.
Havemann, et al., further applied the protocol of high fat adaptation followed by high carbs to a group of cyclists and included typical features of a real race, such as surges, tempo riding, and cycles of moderate to high intensity segments (6). The results show that the high fat followed by high carbs did not degrade performance on the overall endurance ride but it did compromise performance of well-trained cyclists during high-intensity surges. The level of the enzyme responsible for fat metabolism studied rose but evidence also showed the enzyme responsible for carbohydrate breakdown lowered. What was once thought of as "glycogen sparing" after adaptation to a high fat diet actually weakens carbohydrate oxidation particularly at times when muscle carbohydrate requirements are high. The research laid out above not only shows that fat loading would impede performance, but it also shows that the need for a depletion phase in the original regimen of carbo-loading is no longer necessary. A consistent intake of carbohydrates has since been proved optimal.
In summary, even though muscles are able to adapt to burning more fat as a fuel, impaired muscle glycogen capacity occurs, thus limiting the potential of either increasing performance or endurance. Furthermore, the conditions to enhance adaptation to fat oxidation requires an habitual high fat diet over a long period of time. This in itself opens a whole new can of worms. High fat intake increases chronic disease risks such as obesity, diabetes, cardiovascular disease, etc. Although activity supposedly lessens these risks, the body mass increase from habitually high fat intakes negates this.
Bottom line: for events less than or equal to three hours, carbo-loading is best, minus the depletion phase. For longer efforts, 10 days of fat plus three days of carbs might give you more endurance. But be aware of the consequences, performance may suffer and such fat loading is likely to impair any weight management goals.
REFERENCES
1. Christensen EH, Hansen O. Scand. Arch Physiology 1939; 81:160-71.
2. Jansson E, Kaijser L. Effects of diet on the utilization of blood-borne and intramuscular substrates during exercise in man. Acta Physiol Scand 115:19-30, 1983.
3. Phinney SD, Bistrian BR, Evans WJ, Gervino E, and Blackburn GL. The human metabolic response to chronic ketosis without caloric restriction: preservation of submaximal exercise capability with reduced carbohydrate oxidation. Metabolism 32: 769–776, 1983.
4. Helge JW, Richter EA, and Kiens B. Interaction of training and diet on metabolism and endurance during exercise in man. J Physiol; 492: 293–306,1996.
5. Effects of a Low-Carbohydrate, High-Fat Diet Prior to Carbohydrate Loading on Endurance Cycling Performance,' Biochemistry of Exercise Ninth International Conference, pg 32, 1994.
6. Havemann L, West S, Goedecke JH, McDonald IA, St-Clair Gibson A, Noakes TD, and Lambert EV. Fat adaptation followed by carbohydrate-loading compromises high-intensity sprint performance. J Appl Physiol 100: 194–202, 2006.
7. Noakes TD. High-fat versus habitual diet prior to carbohydrate loading: effects on exercise metabolism and cycling performance. Int J Sport Nutr Exerc Metab 11: 209–225,. 2001.
8. Burke LM, Deakin V. Clinical Sports Nutrition, 3rd Ed. McGraw-Hill, NSW, Australia 2006.
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