Jennifer Sygo retweeted
Replying to @LoreofRunning1
You specifically indicated a minimal g CHO/hr value. That was what I was addressing. I have never said muscle glycogen or exogCHO are the only factors obligatory for human performance. IMO, searching for reductionistic models to explain performance is not the approach. See:
Jennifer Sygo retweeted
1/ 1.6 g protein/kg/d (0.7 g/lb) still does it. The case for more rests on a measurement that's about half NOT muscle. New preprint. 10 points, the first at my own expense.
🤖 Made with AI
Jennifer Sygo retweeted
😂
Title: Effects of creatine supplementation with and without exercise and diet intervention on body composition, cognitive function, and markers of health in middle-aged and older adults
Authors: Jisun Chun, Yuhang Liu, Giuliet L. Kibler, Hudson Lee, Khatereh Babakhani, Nathaniel Rhoades, Ian Bivins, Joungbo Ko, Broderick Dickerson, Drew E. Gonzalez, Ryan J. Sowinski, Chris J. Rasmussen, and Richard B. Kreider.
Summary of main findings
The 12-week study included 64 adults aged 45–65 who completed the intervention. Participants received either 10 grams of creatine monohydrate daily, divided into two 5-gram doses, or placebo. They participated with or without a supervised exercise and weight-loss diet program.
Creatine increased lean tissue mass in both conditions. At 12 weeks, participants taking creatine gained approximately 1.1 kilograms without exercise and 1.27 kilograms with exercise and diet. The placebo groups showed little change in lean tissue mass.
Combining creatine with exercise and diet produced a greater reduction in body-fat percentage: 3.24 percentage points, compared with 1.87 percentage points for exercise and diet with placebo. Creatine also improved measures of muscular strength and endurance, including in participants without structured exercise.
Selected cognitive tests showed improvements in memory, processing, attention, executive function, and reaction time. Results varied across tests. Creatine combined with exercise and diet also improved total Mini-Mental State Examination scores compared with the placebo groups. The authors describe the individual cognitive findings as exploratory.
HbA1c decreased in both exercise groups and in the creatine group without exercise, while fasting blood glucose did not change. Selected blood-lipid measures improved modestly in the creatine group without exercise, although the overall lipid-panel analysis did not show a significant group-by-time effect.
Creatine combined with exercise improved vigor and reduced total mood disturbance compared with the non-exercise placebo group. Selected quality-of-life measures also improved.
Supplementation was well tolerated. Reported side effects were infrequent, mild, and similar across groups, and nobody withdrew because of the supplement. Serum creatinine increased slightly; calculated kidney filtration decreased but remained within the paper’s stated normal clinical limits.
Jennifer Sygo retweeted
Some have argued that 10 g of carbohydrate per hour is sufficient to prevent hypoglycaemia during exercise.
Latest data from @HenryJMartyn @JamesyMorton clearly disprove this.
Absolute statements only need a single observation to be disproved.
doi.org/10.1249/MSS.00000000…
Jennifer Sygo retweeted
May promote doing a lot of heavy lifting in that headline. The review is great for yeast, fruit flies, worms and mice. It's time to say so plainly: There is no consistent data in humans that supports this notion!
Protein Restriction May Promote Healthy Aging and Longevity
insideprecisionmedicine.com/…
Source is this review from the @LammingLab: cell.com/cell-press-blue/ful…
Jennifer Sygo retweeted
AI can give useful marathon nutrition advice, but consistency remains a problem 🤖
This new audit tested 5 general-purpose LLMs across 15 sports-nutrition prompts, repeated 10 times each, producing 750 responses for a standardized 39-year-old, 58-kg recreational female marathon runner targeting a 4-hour finish 🔍
Results 📊
🤖 All five models produced structured and generally usable sports-nutrition advice, but performance varied massively by question and domain
🍞 Pre-race carbohydrate recommendations were generally within accepted ranges, with no hard scientific errors detected across models
🏃 In-race fueling was less consistent: ChatGPT ranged from 30–90 g/h carbohydrate, Gemini 50–60 g/h, DeepSeek 15–120 g/h, and Doubao 5–145 g/h
⚠️ DeepSeek and Doubao therefore produced recommendations both below and above the study’s 30–90 g/h comparison range
🔄 One Doubao response recommended 115–145 g/h, while its accompanying gel schedule delivered only 37.5–45 g/h, demonstrating an internal contradiction
♀️ Female-specific integration was inconsistent, although ChatGPT covered all 7 directly prompted female-specific indicators in 10/10 runs
🧪 Models differed in how consistently they maintained the “test supplements in training first” principle before race-day use
📖 Readability also varied: DeepSeek had the highest mean Flesch Reading Ease score, while ChatGPT had the lowest mean Flesch–Kincaid grade level, Gunning Fog and SMOG scores
General-purpose LLMs can be useful for explaining sports-nutrition concepts and generating practical ideas, but athletes should be cautious with precise fueling doses, supplements and female-specific issues because outputs can vary considerably between repeated prompts ✅
Best practice? Probably best off trusting a qualified nutrition practitioner to help guide your marathon nutrition plan.
Reference:
frontiersin.org/journals/nut…
Subscribe to performancenutritiondigest.c… FREE to receive your daily study breakdown, straight to your inbox or via the Substack app 📥
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According to this study "The impact of menstrual cycle phase and symptoms on sleep, recovery, and stress in elite female basketball athletes," lack of sleep is more detrimental to performance than menstrual cycle symptoms. #OpenAccess pubmed.ncbi.nlm.nih.gov/4106…
Jennifer Sygo retweeted
🚨 New publicationConsensus-based recommendations for GLP-1 receptor agonist use in the context of eating disorders.
Led by @aaron_keshen, our multidisciplinary panel outlines guidance for screening, monitoring, treatment, and key research priorities.
onlinelibrary.wiley.com/doi/…
Jennifer Sygo retweeted
Resistance training combined with creatine supplementation: a three-level meta-analysis of multidimensional outcomes from strength enhancement to body composition remodeling
#creatine
tandfonline.com/doi/full/10.…
Jennifer Sygo retweeted
Want to lose fat, not muscle? 💪
A meta-analysis found that larger energy deficits impair lean-mass gains during resistance training, with ~500 kcal/day emerging as a practical upper limit.
Keep the deficit moderate, lift hard & eat enough protein.
pubmed.ncbi.nlm.nih.gov/3462…
Jennifer Sygo retweeted
More teenage boys are using creatine. Here’s what pediatricians tell their patients ctvnews.ca/health/article/mo…
Jennifer Sygo retweeted
For my endurance athletes: New standards for Ferritin test when diagnosing Iron deficiency.
It used to be if Ferritin was over 15 ng/mL, you were considered "normal."
Now:
For most adults: 30 is the new threshold.
For high-risk groups, it's 50.
Jennifer Sygo retweeted
I wish the risks and stakes of pole vaulting were explained like this on television broadcasts.
Hearing what 🇺🇸 Sandi Morris had to do to claim the World Ultimate Championships title made the moment feel so much more dramatic and the achievement that much more incredible. ⬇
Take notes, people! A World Ultimate champion is dropping elite pole vault knowledge 🧠
Shoutout to coach Brooke Rasnick for helping make @sandicheekspv’s win on Saturday possible 🙌
🎥 Our full interview with Sandi, in collaboration with @usatf, can be found on the CITIUS MAG YouTube channel and podcast feeds on Spotify and Apple Podcasts.
Jennifer Sygo retweeted
An elite ultrarunner burned 16,104 calories in 14 hours but only consumed 6,720. The 9,384-calorie deficit reveals what your body does when extreme performance meets impossible fueling demands.
Researchers at Loughborough University published the first comprehensive physiological assessment of a world-class athlete during the 2025 Western States Endurance Run in the Journal of Applied Physiology. The athlete finished third in 14:19:22, within 10 minutes of the course record, while scientists tracked every calorie burned and consumed.
Energy expenditure was measured using doubly labeled water, a gold-standard method that tracks isotope elimination rates to calculate total calories burned. The athlete expended 16,104 kcal across the 100-mile race. That translates to 18.8 kcal per minute, sustained for over 14 hours.
For context, previous research using the same method found recreational athletes burned about 7,040 kcal over 12 hours during Western States. When normalized for time, the elite athlete in this study expended nearly double the energy. The difference reflects both higher absolute speed and the metabolic cost of running versus walking, since recreational runners alternate between the two.
The athlete consumed 6,720 kcal during the race. That's 42% of total expenditure. The remaining 9,384 kcal came from stored energy, primarily glycogen and fat. This deficit is massive but unavoidable at this intensity.
Here's why the deficit matters:
Your gut has a ceiling for how much it can absorb during exercise. Current recommendations suggest up to 90 grams of carbohydrate per hour for prolonged endurance events. This athlete averaged 86 grams per hour across the entire race, peaking at 110 grams per hour in the final 5 hours.
That intake required a deliberate fueling strategy. The athlete started with a mixed fat-carbohydrate approach, consuming foods like avocado, coconut oil, nuts, and overnight oats in the first 4 hours. From hours 4 through 9, intake shifted to 80 grams of carbs per hour plus 10 grams of fat from gels, rice cakes, and soft bars. The final 5 hours relied almost entirely on carbohydrate gels.
Despite consuming near-maximal carbohydrate intake and 12.5 liters of fluid, the athlete still lost 4.3% of body mass by the finish. Urine osmolality increased from 120 to 790 mosmol/kgH2O, indicating significant dehydration. Fluid intake averaged 0.87 liters per hour, but sweat losses in 40°C heat exceeded what could be practically replaced.
Key findings from the study:
• Total energy expenditure: 16,104 kcal (18.8 kcal/min)
• Energy intake: 6,720 kcal (42% of expenditure)
• Carbohydrate consumption: 86 g/h average, 110 g/h peak
• Fluid intake: 12.5 L total (0.87 L/h)
• Body mass loss: 2.5 kg (4.3%)
• Core temperature peak: 39.4°C
• Performance decline: 15% across the race
The thermoregulatory response adds another layer of metabolic stress. Gastrointestinal temperature averaged 37.1°C but peaked at 39.4°C during the final 10 km. Core temperature exceeded 38°C for over 3 hours despite aggressive cooling strategies including wet clothing, cold-water immersion in rivers, ice slurry ingestion, and menthol rinses.
Heat stress increases metabolic demands and accelerates carbohydrate oxidation. When your core temperature rises and you become dehydrated, your body shifts fuel preference toward carbohydrate and away from fat. This makes the energy deficit harder to manage because glycogen stores are limited compared to fat stores.
The athlete also showed temporary kidney stress. Urinary biomarkers for acute kidney injury increased substantially. NGAL concentrations rose from 9.4 to 25.4 ng/mL and KIM-1 from 0.30 to 1.70 pg/mL. The urine also showed moderate protein, mild blood, and trace ketones. These markers indicate transient renal stress from dehydration, reduced blood flow to the kidneys during prolonged exercise, and muscle breakdown from eccentric muscle contractions during downhill running.
What makes this athlete exceptional isn't avoiding fatigue. It's managing it.
Pacing analysis revealed the athlete ran at an average of 84.8% of critical speed throughout the race. Critical speed represents the boundary between sustainable and unsustainable intensity. Below critical speed, you can theoretically maintain effort indefinitely. Above it, fatigue accumulates rapidly.
The athlete maintained 87.4% of critical speed for the first 5 hours, then performance declined by 1.45% of critical speed per hour until finishing at 74.0% of critical speed. That's a 15% total decline. For comparison, recreational runners in similar mountain ultramarathons show average speed declines of 32% between the first and second halves.
This reveals a key difference between elite and recreational ultra-endurance athletes. Elite athletes sustain higher relative intensities for longer before fatigue forces a slowdown. The 15% decline represents exceptional durability, the ability to resist performance loss despite accumulating physiological stress.
The decisions made before the race likely mattered as much as what happened during it.
The athlete completed a structured heat acclimation protocol in the 3 weeks before the race. This involved 12 sessions in a makeshift climate chamber at 40-45°C, each lasting 1.5 to 2.5 hours. The goal was raising core temperature to 38.5-39°C in each session. Heat acclimation improves sweat rate, plasma volume expansion, and cardiovascular efficiency in hot conditions.
The athlete also increased dietary fat intake during the week before the race to gain 1 kg of body mass. This strategy likely aimed to increase glycogen storage and provide a small buffer of additional fuel.
During the race, cooling strategies were implemented early and maintained throughout. The athlete started using evaporative and conductive cooling at 39 km into the race and continued systematically to the finish. This probably limited how high core temperature could rise and reduced the metabolic penalty of heat stress.
The study has limitations. It's a single elite athlete, so the findings represent the upper range of human capability rather than average performance. The abbreviated doubly labeled water protocol works well for short-duration field studies but has more measurement error than traditional multi-day protocols. Postrace urine samples were collected 100 minutes after finishing, during which rapid rehydration may have diluted biomarker concentrations.
But the data establish clear boundaries for what's physiologically possible during competitive 100-mile mountain running in extreme heat.
Energy expenditure can reach 18.8 kcal per minute in elite athletes. Carbohydrate intake up to 110 grams per hour is tolerable without gastrointestinal distress when practiced and planned. Core temperature can exceed 39°C for extended periods if heat acclimation and active cooling are employed. And performance durability, the ability to resist fatigue accumulation, separates elite from recreational ultra-endurance athletes more than absolute speed.
The massive energy deficit isn't a failure of fueling strategy. It's an unavoidable reality of sustaining near-maximal intensities for 14 hours. Your gut can't absorb calories fast enough to match expenditure. Your body compensates by mobilizing stored fuel, accepting dehydration, tolerating rising core temperature, and allowing controlled performance decline.
The decisions about preparation, pacing, fueling, and cooling determine how well you manage those compromises. Elite athletes don't avoid the deficit. They survive it better.
Jennifer Sygo retweeted
September 13, 2025 I achieved my childhood dream of becoming the best in the world at this silly little thing I do.
33k into the 35k race, after grinding my way into the lead, I tore the tendon of one of my hamstring muscles off the bone at the hip. Those last two kilometres were the hardest thing I’ve ever done. Every step was a battle of will to get a little bit closer to the finish line.
1 year on and it’s the learning that I am so much stronger, tougher and determined than I’ve ever allowed myself to believe
I am that stands out way more than the victory.
It still hurts, I’m still not back to 100% but I am excited to get on more start lines in 2027 looking towards my 8th World Championship and hopefully qualifying for my 4th Olympic Games.
Now hopefully I can do it with a few more sponsors by my side so the next podium I stand on I don’t have to do it barefoot!
Jennifer Sygo retweeted
LATEST FREE PAPER : 60 g/h of CHO spares muscle but not liver glycogen using during HIT training. Congrats Sophie Hannon on latest PhD publication and all-co-authors on a great collaboration @Hearris
journals.physiology.org/doi/…
Jennifer Sygo retweeted
On a personal note, I'm delighted as Chair of @McMasterScience Department of Kinesiology to welcome @MuscleScience to our growing cadre of scientists.
Jennifer Sygo retweeted
Replying to @McMasterU
@McMasterU is proud to welcome five outstanding new scholars as part of the Impact+ Chairs program with five top scholars from American universities news.mcmaster.ca/mcmaster-re…
Jennifer Sygo retweeted
Thrilled to see @KevinH_PhD as having been selected for an Eddie Goldenberg Research Chair of Canada in Nutrition and Metabolic Health at @UOttawa! Here's hoping everyone on this list works out their respective employment agreements as they are all huge gets
Ottawa taps 64 leading researchers and scholars to bolster Canadian research. My story today. theglobeandmail.com/canada/a…
Jennifer Sygo retweeted
Does sleep really matter for muscle growth?
Our new critical review, just pubbed-ahead-of-print in SCJ, takes a deep dive into the evidence linking sleep and muscle hypertrophy.
Here’s what we found:
Severe sleep deprivation can reduce muscle protein synthesis and negatively affect hormones, strength, and training performance. Moreover, observational research links both short and excessively long sleep with poorer muscle health and greater sarcopenia risk.
But here’s the catch: there is surprisingly little direct evidence that habitual sleep duration actually affects resistance training-induced muscle growth. In fact, one of the few longitudinal studies found that sleeping ~1–2 hours less per night did not impair hypertrophy or strength gains over 5 weeks of resistance training in untrained men.
So, while adequate sleep almost certainly plays an important role in supporting recovery and training quality, we currently cannot prescribe a specific amount as “optimal” for maximizing hypertrophy. A reasonable starting point appears to be ~7–9 hours per night. However, individual sleep needs likely vary considerably based on the interplay between genetic predispositions and lifestyle factors.
Bottom line: The mechanisms suggest sleep matters, but we still need long-term controlled studies—especially in trained lifters—to determine how much it actually affects muscle growth.
ovid.com/jnls/nsca-scj/fullt…





























