What this is
- This pilot case study investigates the effects of a 10-week on body composition and performance in five New Zealand endurance athletes.
- It examines both quantitative changes in body metrics and qualitative experiences of the athletes during the diet.
- While athletes experienced reductions in body fat and reported improved well-being, performance metrics showed mixed results.
Essence
- The led to a mean body weight reduction of 4 kg and improved fat utilization but resulted in decreased performance metrics like .
Key takeaways
- All athletes improved their ability to utilize fat as a fuel source, indicating enhanced metabolic efficiency. Peak fat oxidation increased by 41.3%, allowing athletes to perform at higher intensities using fat.
- Mean body weight decreased by 4 kg, and skinfold measurements dropped by 25.9 mm, indicating significant fat loss. Athletes reported feeling better overall, with improved recovery and reduced inflammation.
- Despite these benefits, performance metrics such as decreased by approximately 2 minutes, suggesting that while body composition improved, athletic performance at high intensities may be compromised.
Caveats
- The study's small sample size and lack of a control group limit the generalizability of the findings. Results may not apply to broader athletic populations.
- The absence of energy intake comparisons before and during the study restricts understanding of the mechanisms behind weight loss and performance changes.
Definitions
- ketogenic diet: A low-carbohydrate, high-fat diet that aims to induce ketosis, where the body burns fat for fuel instead of carbohydrates.
- time to exhaustion: The duration an athlete can sustain exercise before fatigue prevents further performance.
AI simplified
Background
Low-carbohydrate, high-fat (LCHF) diets, including their extreme version i.e., ketogenic diets have recently become popular dietary regimes for athletes for several reasons. However, there is no consensus regarding the efficacy of ketogenic diets on sports performance. The overarching mainstream nutrition philosophy for endurance athletes, is one that emphasises a carbohydrate-dominant, low fat paradigm. Under these dietary conditions, athletes utilise carbohydrate as their predominant fuel source to fuel high volumes of aerobic exercise [1]. The appeal of LCHF eating for endurance athletes is likely due to the shift in fuel utilisation, from a carbohydrate-centric model to one that utilises fat predominantly, of which stores are unlimited compared to carbohydrate (i.e., muscle glycogen). This metabolic shift, seen after a period of dietary alteration is often referred to as being âfat-adaptedâ, which has been well-documented in studies since the 1980s [2, 3].
Despite the physiological advantage of utilising fat as a fuel source during sub-maximal exercise, to date there is no conclusive evidence to suggest that this results in subsequent performance enhancement [4]. Some individual responses to a ketogenic diet have shown dramatic benefits in both fat metabolism and performance, and are worth further investigation [5, 6]. However, studies have also shown a reduction in maximal aerobic performance [7] with some evidence indicating a negative effect on exercise intensity >70% of VO2 max [8, 9]. The majority of these studies have been criticised for not being long enough to allow for the full adaptive mechanisms to occur, which appear to require at least 21 days.
Despite the lack of peer-reviewed evidence for performance enhancement, athletes continue to be intrigued with the LCHF dietary paradigm. It is likely that this is the case for two reasons that go beyond the desire to obtain the extra performance edge: 1. a reduction in body fat that is frequently cited when athletes undertake LCHF or ketogenic diets [10], and 2. the anecdotal benefits that are cited by athletes eating this way. There is very little athlete-specific literature, particularly of a qualitative nature, addressing non-performance outcomes of LCHF or ketogenic eating in an athlete cohort. In a translational case study design, this pilot study set out to investigate the effect of a 10-week ketogenic diet on body composition and performance outcomes in five New Zealand endurance athletes, as well as to evaluate, qualitatively, the athletesâ experiences of undertaking the ketogenic diet during their training season.
Methods
Study design
This was a pilot, 10-week intervention undertaken with five case studies. A control group was not included. The study took place at AUT, Human Potential Centre; ethics was approved by the AUT Ethics Committee (application 15/415).
Participants
| Participant | Sex | Main sport | Training volume (hours/week) | Age (yr) | Weight (kg) | Height (cm) | â8 Skinfolds (mm) |
|---|---|---|---|---|---|---|---|
| 1 | Female | Cycling | 10â12 | 50 | 63.4 | 164 | 74 |
| 2 | Male | Running | 8â10 | 51 | 74.8 | 178 | 91.5 |
| 3 | Female | Running | 8â10 | 49 | 66.3 | 181 | 91.5 |
| 4 | Female | Cycling | 10â12 | 51 | 61 | 170 | 72.5 |
| 5 | Female | Cycling | 6â8 | 55 | 60.8 | 158 | 118.3 |
Study protocol
Prior to the start of the intervention, participants underwent a series of tests and a full consultation for dietary instruction and planning as follows:Performance test. Participants reported to the lab in the morning in a fasted state and underwent a performance test on three occasions: i. one week prior to the intervention (familiarisation), ii. immediately prior to the intervention (baseline), and iii. Immediately post the intervention (post). To determine \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\mathrm{V}}^{.}{\mathrm{O}}_{2\mathrm{peak}} $$\end{document}V.O2peak and gas exchange thresholds (GET) an incremental cycle test was performed using an electromagnetically controlled cycle ergometer (Ergoselect 100, Ergoline, Bitz, Germany) in a temperature-controlled laboratory (21 °C, 65% rH). The test commenced at 30 W and increased by 30 W every 3 min until volitional exhaustion. Participants were instructed to maintain a cadence of 80 revolutions.minâ1. Oxygen uptake (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\mathrm{V}}^{.}{\mathrm{O}}_2 $$\end{document}V.O2) was measured continuously using a breath-by-breath metabolic system (Metamax 3b, Cortex, Leipzig, Germany), and heart rate was continuously measured using a short-range telemetry device (Suunto M2, Suunto, Vantaa, Finland). The \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\mathrm{V}}^{.}{\mathrm{O}}_{2\mathrm{peak}} $$\end{document}V.O2peak was defined as the highest 30s \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\mathrm{V}}^{.}{\mathrm{O}}_2 $$\end{document}V.O2 value and the GET was identified independently by two experienced investigators using the V-slope method [11].Dietary instruction. An initial consultation was conducted with each participant by the primary researcher/Registered Dietitian directly after the performance test. Participants were provided with a daily macronutrient prescription of <50 g total carbohydrate, 1.5 g.kg protein and ad libitum fat. A detailed explanation of the practical application of the ketogenic dietary principles along with appropriate tracking and monitoring procedures was provided. Participants were provided with a sample diet and were advised to add variations as long as they adhered to the carbohydrate and protein macronutrient thresholds. They were instructed to track their diet using a dietary analysis programme Easy Diet DiaryÂŽ (Xyris Software (Australia) Pty Ltd). Diets were monitored weekly by the primary researcher, and participants were contacted and offered additional support if they deviated. The primary researcher maintained regular contact with all participants throughout the 10-week study duration.Exercise instruction. The participants were all seasoned athletes, and participated on a regular basis in endurance events, i.e., mountain biking, road biking, running and multisport events (which included running, cycling and kayaking), both recreationally and competitively. Hence, their training protocols did not vary much from month-to-month. They were instructed to continue with their existing training volumes for the duration of the intervention.Ketone blood testing. Each participant was shown how to measure blood ketone levels via finger prick, and provided with a FreeStyle Optium ketone meter and ketone strips. They were instructed to measure their blood ketone levels daily between 2 pm and 4 pm. Nutritional ketosis was defined as a blood ketone (beta-hydroxybutyrate) level > 0.5 mmol/l.Anthropometric testing. Body weight and skinfolds were measured by an ISAK level one accredited anthropometrist, prior to and at the conclusion of the intervention, at the same time of the day. A sum of (â) 8-site skinfold ISAK protocol was applied: triceps, biceps, subscapular, iliac crest, supraspinale, abdominal, front thigh and medial calf [12].Interviews and focus group. A 20â30 min individual interview was conducted on the phone during week 5 week and a 60-min focus group was conducted in person once the intervention had concluded. The importance of this qualitative work was to assess both the individual and the groupsâ overall experiences of being on this diet for 10 weeks. The group session provided a chance for athletes to compare experiences and translate findings to future practice.
Data analysis
Due to the explorative nature of this study, and our small sample size, quantitative data is presented as individual responses. Data was analysed using mean change scores, with Cohenâs effect sizes and associated confidence limits applied to quantify magnitude of change. We also elected to apply a probability statistic using a studentâs t-test to determine the statistical meaning of the change. All statistics were generated and applied using Microsoft Excel 2016. We acknowledge that applying statistical models hold limited meaning in this context and it is not our intention to make any inferences about these outcomes to athlete populations. As such, outcomes with a significance level of p < 0.05 should be considered a trend only; and p < 0.01 significant only in the sense that further work is required to substantiate these findings. Interviews and the focus group were recorded and transcribed, after which data was analysed using thematic analysis. The data for the interviews and focus groups were combined and is presented as key themes with supporting transcripts.
Results
Diet and ketosis
| Participant 1(male) | Breakfast½ cup granola, 150 ml coconut cream, 100 g mixed frozen berries, 30 ml coconut oila | Lunch125 g smoked salmon, 2 egg muffins, 100 g avocadob | Dinner120 g fish cooked in 1 Tolive oil, 80 g broccoli, ½ cup almonds, 50 g feta cheesec | Other2 X Coffee (60 ml cream)Water |
| Energy 2450Cal; Net carbohydrate 24Â g; Protein 103Â g (1.4Â g/kg); Fat 215Â g | ||||
| Participant 2(female) | Breakfast3 rashers bacon, 2 eggs scrambled in 1 T coconut cream | LunchSalad: spinach leaves, Ÿ avocado, 30 g Gruyere cheese, 60 g salmon, spring onion, 1 T avocado oil, ½ cup sliced almonds | Dinner100 g rump steak, salad (spinach, spring onion, pepper, carrot, desiccated coconut, 1 T pumpkin seeds), 2 tsp.pestod | Other40 g blue cheese; 180 ml red wine; herbal tea; water |
| Energy 1710Cal; Net carbohydrate 9Â g; Protein 94Â g (1.5Â g/kg); Fat 128Â g | ||||
| Participant 3(female) | Breakfast½ cup granola, 125 ml coconut cream, 50 g mixed frozen berries | Lunch1 egg muffin, 100 g avocado, dessert spoon peanut butter, square chocolate | Dinner100 g pork straps, 70 g spinach, 1 cup cauliflower rice, 1 T butter square 85% dark chocolate 180 ml red wine | OtherCoffee, 100 ml soya milk; green tea; 1 strawberry; 20 g ham; 30 g almonds; water |
| Energy 1768Cal; Net carbohydrate 33Â g; Protein 76Â g (1.1Â g/kg); Fat 131Â g | ||||
| Participant 4(female) | Breakfast½ cup granola, 150 ml Greek yoghurt, 50 g mixed frozen berriesa | Lunch95 g tin tuna, avocado, cheese, 1 T olive oil | Dinner100 g chicken with skin, 1 tsp. soy sauce, 1 cup cauliflower, 25 g leek, 50 g asparagus, 1 T butter | Other30 g salami; ½ cup almonds; coffee, 150 ml milk; 100 ml coconut cream, water |
| Energy 1919Cal; Net carbohydrate 31Â g; Protein 96Â g (1.5Â g/kg); Fat 154Â g | ||||
| Participant 5(female) | Breakfast2-egg omelette (spinach, mushroom) cooked in 2 tsp. butter | LunchSalad: 1 cup mesclun leaves, ½ avocado. 30 g feta cheese, 90 g chicken, 6 baby tomatoes, 50 g cucumber, 30 g celery, 2 T olive oil | Dinner120 g fish, stir-fry vegetables (1 medium zuchini, 50 g broccoli, 5 mushrooms, ½ brown onion), cooked in 1 T olive oil | Snacks100 ml coconut cream; 30 g almonds; water |
| Energy 1406Cal; Net carbohydrate 19Â g; Protein 93Â g (1.5Â g/kg); Fat 103Â g | ||||
Substrate oxidation
Each curve displays the cross-over point i.e., the point at which peak fat oxidation is reached, and the point at which carbohydrate takes over as the predominant fuel source. Mean peak absolute fat oxidation and standard deviation (SD) increased by 41.3% (0.6 Âą 0.1 to 0.8 Âą 0.1 g.minâ1, p = 0.001). All of the athletes increased their peak fat oxidation. The exercise intensity relative to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\mathrm{V}}^{.}{\mathrm{O}}_{2 \max } $$\end{document}V.O2max at which peak absolute fat oxidation occurred (Fatmax) increased by 31.2% from pre- to post-intervention (48.2 Âą 8.7 to 63.2 Âą 5.7%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\mathrm{V}}^{.}{\mathrm{O}}_{2 \max } $$\end{document}V.O2max,p = 0.06). Similarly, Fatmax relative to WRmax increased by 21.5% from pre- to post-intervention (39.5 Âą 11.9 to 48.0 Âą 8.9%WRmax, p = 0.18). Two out of the five athletes showed an increase in Fatmax relative to WR max, and the remaining three showed no change.

Pre, and post intervention metabolic efficiency curves for each participant. * PF: Peak Fat Oxidation (g/min). â Fat: Maximum fat oxidation at % WR ox max max
Body composition/performance
All participants showed a decrease in time to exhaustion (TTE), the mean time and SD reduction was 2 Âą 0.7 min (p = 0.004). More varied responses were noted in the change in VO2 Max (mean change â1.69 Âą 3.4 ml.kg.min (p = 0.63)), peak power (mean change â18 Âą 16.4 W (p = 0.07)) and ventilatory threshold, VT2 (mean change â6 Âą 44.5 W (p = 0.77)), with some athletes improving (VT2 and VO2 max) or staying the same (VT2 and peak power).

Individual responses and effect sizes of anthropometry and performance variables
Athlete experiences
| Positive themes | Negative themes |
|---|---|
| Physical recovery | Loss of power during exercise/training |
| âThe recovery each time was amazing. I would go for a 4â5 h run then be able to mountain bike the next day, just to be able to do it without sore musclesâ.âThe next day after a 4-h run I could have got up and done it again - my legs werenât tired or soreâ.âCertainly Iâve had the recovery benefits I felt fine to go out the next day and do stuff I didnât feel the muscle soreness I would have expectedâ.âI donât feel soreâ.âI was surprised that I could run comfortably for that long so I think the recovery was huge I never felt this, itâs unheard ofâ | âIt was embarrassing to the point where I just got to the point where you just donât have any energyâ. (weeks 1â5)âI got too tired and I got to the point where I might have had some big runs, 4 or 5 h runs and wake in the night before hand, worried about it. Iâd think, how am I going to do that tomorrow⌠itâs going to be hardâ. (weeks 1â5)âThe lack of power, I just couldnât get up the hill.â (weeks 6â10) |
| Negative symptoms (weeks 1â3) | |
| âI hadnât been for 4Â days and I was starting to get bound upâ. (constipation).âOne of the downsides is that I had cramps, massive crampsâ.âI may have seemed a bit irritable for a while. People close to me realised I was down and Iâm pretty good at hiding that but people picked it upâ. | |
| Enjoyment of this way of eating | |
| âItâs given me the freedom to eat the things that I stopped eating for a long time because I thought it was a no-noâ.âNot feeling hungry has been amazingâ. (X2)âNot being bothered about food, you know food doesnât bother me anymore, as before I had a meal and 3Â h later Iâd feel irritable if I didnât eatâ.âItâs been fantastic for me having food I couldnât for a long time and I really enjoy it, the flavour, for me the reason why I want to carry on with this way of eating is because I actually enjoy it, I enjoy it far more than my previous dietâ. | |
| Food regime boredom | |
| âBored with the food regime, actually Iâm back on fruit âŚâââŚbut I am starting to get sick of the diet planâ.âYou canât even free load in your veggies.â | |
| Weight management | |
| âBeing able to shed that 5Â kg was definitely a benefitâ.âThe benefit now of me being able to understanding how to manage my weight, thatâs been a real effect, actually thatâs been for all of usâ. | |
| Feel better overall (well-being) | |
| âMy skin hasnât been this good since I can rememberâ.âMy prostate, a million times better because I can sleepâ.âThe other thing I noticed is my tinnitus is a lot better, I canât hear the ringing in my ears I used to haveâ.âJust general health - I just feel better, I need less sleepâ.âI noticed that I didnât fart for 2Â months, no gasâ.âYes, no gas, thatâs the same as me.ââI feel sharper mentallyâ.âFood used to dictate my moods, and now it doesnâtâ.âPositive skin, I have a facial every 6Â weeks, I didnât tell the facial lady what I was doing and she said to me whatâs happened to your skin? No extractions in the last 8Â weeks, no blockagesâ. |
Discussion
This study presents a real-life insight into the lives of five seasonal endurance athletes who by virtue of their own curiosity wished to experience the effects of a ketogenic diet on their sports performance. Overall, participants were able to increase the substrate utilisation of free fatty acids, reduce body fat and experience positive health benefits, but their maximal aerobic performance was compromised.
Body composition
The reduced body fat can likely be explained by a resultant calorie deficit created by the diet, as participants reported enhanced feelings of satiety and a reduction in overall food intake. This outcome was unsurprising and comparable to findings in previous research on both strength and endurance athletes [13â15]. Initial weight reduction can be associated with a loss in body water through glycogen depletion, [16, 17], and this was also likely the case in this study; however fat loss was evident as per skinfold changes. A further theory relating to weight loss, which is as yet, rigorously tested, is an increased drive for fat breakdown rather than storage as circulating levels of insulin remain low during ketogenic diets [18]. Perhaps a combination of all three mechanisms can explain the weight loss. A limitation of the study was a lack of energy comparison prior to, and during the study, which would have provided some clarity about these mechanisms.
Metabolic efficiency
All participants had a greater fatty acid oxidation at a higher given intensity at the end of the trial compared to baseline. This finding of enhanced fat utilisation aligns with those of several other groups that have incorporated ketogenic and non-ketogenic dietary protocols [5, 19, 20]. Furthermore, this substrate utilisation alteration can be attributed to the change in diet as training was kept relatively consistent throughout the intervention. Our participants also had a higher oxygen cost at sub-maximal workloads due to the higher use of fat as an energy substrate. However, this did not benefit exercise capacity.
Performance
On the whole, maximal aerobic performance was reduced, another comparable outcome to similar research [21â23], the exception being one athlete in Phinney et al.âs 4-week cycling study [5], and Zajac et al.âs eight off-road cyclists [6], who all showed performance increases. The performance decrement in our study, and others, is likely due to changes in metabolic pathways that impair glycogen metabolism at higher exercise intensities [24â26]. Specifically, a down-regulation of the carbohydrate oxidative enzyme, pyruvate dehydrogenase (PDH), which via conversion of pyruvate to acetyl-coenzyme A, links the glycolytic pathway with the Krebs cycle [27]. PDH is said to be reduced rapidly through a reduction in circulating insulin and an increase in circulating levels of free fatty acids [28]. Evidence suggests that PDH is upregulated upon carbohydrate reintroduction [25]; however, there is little insight into its fate along with other mitochondrial enzymes in the context of low carbohydrate availability. Despite similarities in findings with other studies, some of these studies are limited by short-duration low carbohydrate diets [28â30]. Future research with chronically fat-adapted athletes is needed to investigate these micro-level mechanisms alongside performance outcomes. Recently, Volek et al.âs work [19] with chronically fat-adapted ultra-endurance athletes (>6 months) not only demonstrated a 2.3 times greater fat oxidation rate in the LCHF group compared with the mainstream dietary group, but also demonstrated no difference in resting and replete muscle glycogen stores between groups. Authors suggest a homeostatic muscle glycogen repletion mechanism arising from hepatic gluconeogenesis, which might serve to provide clues into why many athletes report optimal performance, anecdotally, when having eaten in an LCHF manner for extended periods of time. While this is a plausible speculation, a similar study by Webster et al., [20] showed no difference in gluconeogenic rates during exercise in fasting LCHF and mixed-diet athletes. In fact, glucose was produced endogenously to a greater extent in the mixed diet group, and was attributed to greater rates of hepatic glycogenolysis. Researchers concluded that gluconeogenesis during exercise may remain stable across a range of dietary regimes after an overnight fast, but that hepatic glycogenolysis is influenced by dietary carbohydrate. Further exploration of fuel contributions to gluconeogenesis and the effect of different feeding protocols on endogenous glucose producing mechanisms is warranted. It is important to note that both of these studies did not incorporate a performance measure, leaving the questions to this key issue unanswered [19, 20].
Athlete experiences
This is one of the few studies to report specifically on endurance athletesâ experiences of undertaking a ketogenic diet. Athletes reported similar negative physiological experiences to those reported by athletes in comparable ketogenic diet studies [13, 14, 31]. However, they also reported experiencing benefits throughout the trial. One of these benefits was enhanced recovery; possibly, the rise in blood ketones had some influence, as beta-hydroxybutyrate has been associated with upregulating antioxidant gene expression and decreasing reactive oxygen species [32]. However, further research is required to substantiate this within athletic populations.
From a physical well-being perspective, the cases of improved skin, and the resolution of an ongoing prostate issue, were major points of discussion of benefits experienced. We speculate that it is the reduction of systemic inflammation as a result of a lower total sugar [33] and Omega 6 fatty acid intake, thereby rebalancing the Omega 6:3 fatty acid ratio in an anti-inflammatory direction [34] that gave rise to these outcomes. All participants were consuming high-Omega 6 industrial seed oils prior to the study (used as cooking fat and derived from processed foods). During the study these fats were replaced with coconut oil, butter and olive oil; i.e., fats containing minimal Omega 6 fatty acid content.
Being a translational study, we followed up participants informally 12Â months after the study concluded. They were all still competing in endurance events, and while not eating a ketogenic diet, none of them had returned to their previous high carbohydrate, low fat style of eating. Collectively, they reported that once the study concluded they gradually increased their carbohydrate intake until the point at which they felt their performance at high intensities return. They were still restricting carbohydrate and eating more fat than mainstream guidelines recommend, and reported having discovered the optimal macronutrient ratio that satisfied a performance, body composition and a health goal.
This study had several limitations: Its design as a pilot case study, with no standardisation of training prevents any inference from being made to athletic populations. However, it is still relevant to both the researcher and the practitioner as it provides insights into what is considered important for athletes, particularly those in the 40+ age range. i.e., alongside improving performance, they are also more cognisant of their overall health and well-being. A lesson learned from undertaking this research, and a key consideration for researchers and practitioners, is to encourage a reduction in athlete training intensity and volume in the early weeks of embarking on a ketogenic diet. This will likely induce less early fatigue and other negative symptoms related to training, and allow for metabolic adaptations to occur in a lower stress milieu.
Conclusion
Despite a decrease in performance, athletes reduced body fat and experienced unexpected well-being benefits. While performance outcomes are key to the field of sports science and medicine, what might be overlooked, is the integration of health and well-being, alongside performance. Further research, both conceptual and translational, should challenge this type of diet further to understand its potential uses to achieve what an endurance athlete and their support team should ultimately be striving for i.e., optimal body composition, health and performance.