Each week, I comb through the latest endurance, sports science, psychology, and coaching research. So you don’t have to. Don’t worry, this is a nerdy passion. I try to distill it into plain language, practical takeaways, and reflections on what it means for the kind of running I do here at Waybound: thoughtful, purposeful, human. No hype, no clickbait. Just notes, honest questions, and my usual healthy dose of criticism and skepticism. Perfect for trail runners and overthinkers.
This week’s research roundup July 27 – Aug 4, 2025
From sweat-based lactate sensors to 500-marathon hearts and gut bugs with VO₂max dreams, this week’s science is equal parts weird and wonderful. We’re unpacking why bionic shoes aren’t made for beginners, and how “barefoot” running affects your knees. We’ve got high-altitude runners in Ethiopia, vegetarians lifting strong, and metabolomics telling tales of fat, carbs, and compromise. Also: the quiet beauty of resilient gait in older runners, the placebo vibes of hyperbaric oxygen, and how one 60-year-old runner might be rewriting the story on heart disease and high volume. TL;DR: adaptation is complex, footwear matters, gut health is real, and some runners just keep going… and going… and going.
This week’s research titles
– The Effects of One‑Night Sleep Deprivation and One‑Night Recovery Sleep on Endurance Cycling Performance
– Sex-differences in Mountain Ultra-trail Performance: Look at the Scenery
– Physiological and Perceptual Responses to a 2-Week Training-Overload Period in Trained Endurance Athletes: The Role of Training Intensity Distribution
– Strength Training vs. Aerobic Interval Training: Effects on Anaerobic Capacity, Aerobic Power and Second Ventilatory Threshold in Men
– Gastrointestinal symptoms among recreational long distance runners in China: prevalence, severity, and contributing factors
– Probiotic supplementation for optimizing athletic performance: current evidence and future perspectives for microbiome-based strategies
– The Physiology and Psychology of Negative Splits: Insights into Optimal Marathon Pacing Strategies
– Embodied Cognition, Endurance Running and Evolution
– Diminished Motivation for Voluntary Exercise and Metabolic Dysfunction in Psychiatric Disorders: A Behavioral Perspective on Autism Spectrum Disorder and Depression
– Maximal strength training improves muscle-tendon properties and increases tendon matrix remodulation in well-trained triathletes
– Running on Empty: A Review of Relative Energy Deficiency in Sport
– Do coaches’ and athletes’ perceptions of relative energy deficiency in sport align? A narrative review
– Sports in Natural Forests: A Systematic Review of Environmental Impact and Compatibility for Readability
See also 12 other worthy footnotes and essays of trail and ultra related science news.
The Effects of One‑Night Sleep Deprivation and One‑Night Recovery Sleep on Endurance Cycling Performance
This randomized controlled trial explored how 25 hrs of total sleep deprivation (SD), followed by a night of recovery sleep, impacted endurance cycling performance in 26 male amateur cyclists and triathletes. The SD group showed elevated perceived effort and more negative affect during a 40-minute moderate-intensity ride, but no significant decline in performance during a subsequent 20-minute all-out time trial. After a single night of recovery sleep, both perceptual and predicted time-to-exhaustion metrics returned to baseline. Vigilance and mood were also restored. The control group (normal sleep) showed no notable changes. HR and lactate were largely unaffected throughout. This is the first controlled study to test how a single recovery night impacts physical performance across three consecutive days of exercise testing, simulating the rhythm of multi-day endurance events.
Practical takeaways:
– Expect your motivation and mood to dip before performance does. Moderate-intensity endurance performance is impaired after a day without sleep, primarily due to higher perceived effort and negative affect.
– Moderate intensity is more vulnerable than high intensity to sleep loss. Long efforts at moderate effort (like a long climb or flat runnable section) are more likely to feel harder than short intense bursts. Plan your pacing and strategy accordingly.
– A single night of good sleep is enough to restore performance metrics, which is encouraging to some degree. Don’t panic if you lose one night of sleep.
– High-intensity performance (20-min TT) remained stable, even after sleep deprivation.
– Sleep deprivation impairs mood, motivation, and vigilance, which could affect safety, pacing, and decision-making (no surprise right).
– Track perceived effort, not just pace or HR, in multi-day races. RPE was a better indicator of performance impact than physiological measures. If your perceived effort is unusually high on a “normally easy” section, it may be a sleep-related red flag.
– Low-stakes entertainment helped maintain wakefulness during SD. Participants stayed up with light activities like games, movies, and conversation, suggesting that maintaining morale through light stimulation can help if you need to stay awake.
– Train how you race… (with care). Occasional training under mild sleep restriction may help prepare for the unique psychological and perceptual demands of overnight races.
This is a well-conducted RCT with a relevant multi-day structure, combining physiological, neurocognitive, and perceptual measures. However, its exclusion of women and small sample (n=13 per group) limit generalizability. The study doesn’t explore chronic partial sleep restriction, which is likely more common in real-life racing than acute total SD. This study reinforces the importance of psychological readiness and perceptual pacing during sleep-deprived efforts. For 200 milers and stage racers, coaches can build in mindset work for managing perceived effort and mood. Pre-race sleep loading and post-leg recovery sleep should be prioritized. Training under mild sleep restriction (infrequently) might also prepare athletes for real-world racing challenges, though that’s a nuanced tool. Emphasize the restorative power of even one night of solid sleep between stages or after travel.
Sex-differences in Mountain Ultra-trail Performance: Look at the Scenery
This current opinion piece argues that the sex difference in performance (typically 9–12% on flat terrain) is larger in mountain ultra-trail races, often exceeding 18%, due to three environment-specific factors: uphill–downhill locomotion, high altitude, and extreme ambient temperatures. The authors draw on physiological, anatomical, and environmental research to explain how female athletes may face greater performance limitations in mountainous ultras compared to flatter ones. For example, uphill running magnifies the impact of lower lean mass and type II fiber proportion in females; altitude exacerbates ventilatory and hypoxic challenges; and cold exposure creates thermoregulatory disadvantages, including a greater risk of Raynaud’s phenomenon.
Practical takeaways:
– Uphill sections amplify sex differences: females may be at a disadvantage due to lower lean mass and anaerobic capacity.
– Downhill isn’t a free win either, muscle mass and risk tolerance may affect female pacing and performance when descending.
– Altitude hits women harder: smaller lungs, higher work of breathing, and greater susceptibility to exercise-induced hypoxemia.
– Cold exposure poses unique challenges for female runners: lower muscle mass, higher surface area-to-mass ratio, and more Raynaud’s.
– Females may benefit from more conservative pacing in these events, whether due to physiology or psychology, this could offset some disadvantages.
– Heat may not be quite the disadvantage it’s often assumed to be for women, once body size and heat load are accounted for, differences shrink.
The theoretical grounding of this study strong and it pulls together decades of scattered evidence. The conclusions lean heavily on sex-based physiological averages, but don’t fully address how training status, acclimatization, or gear choices might mitigate those disadvantages. Plus, female participation rates are still low in many races, skewing comparisons. It is still largely speculative, and doesn’t address training load, adaptation, or behavioral strategies enough. It also lacks intersectional depth: not all females have the same responses, and gender identity, hormone therapy, and sociocultural context are absent here.
As coaches, we need to be more precise with how we prepare female athletes for cold, altitude, and steep terrain. That might include: pre-acclimatization protocols for altitude and cold; strength work targeting downhill durability; pacing plans that account for ventilatory and fatigue thresholds; psychological prep for risk, confidence, and perception of danger; gear strategies (e.g., handwarmers, layering) tailored to female-specific physiology, and; encouraging representation and retention of women in mountainous ultras, to eventually close the density-performance gap. This paper meaningfully contributes to the under-researched area of sex differences in mountain ultra performance. It challenges the often-touted idea that women close the gap in longer events by showing how terrain and environment may flip that narrative.
Physiological and Perceptual Responses to a 2-Week Training-Overload Period in Trained Endurance Athletes: The Role of Training Intensity Distribution
This well-structured, impressive master’s thesis explored how two different training overload strategies, one emphasizing increased low-intensity volume (VOL) and the other increased high-intensity training (INT) affect physiological and perceptual recovery in trained male endurance athletes. Over a 4-week period (1-week baseline, 2-week overload, 1-week recovery), both groups increased training load by ~50–70% (matched by TRIMP). Results showed no decrease in performance during overload, but the VOL group improved more in time-to-exhaustion (+9.5%) after recovery compared to INT (+2.0%). Perceptual recovery (readiness, soreness, fatigue) was also better in the VOL group. Interestingly, while INT appeared less perceptually fatigued during overload, they had more lingering physiological fatigue and didn’t fully bounce back after the recovery week.
Practical takeaways:
– LIT-heavy overload blocks may yield better recovery and longer-term performance gains compared to HIT-focused overloads, esp. if you’re already well-trained.
– Perceptual recovery markers (readiness, soreness, motivation) are sensitive indicators during overload, use them!
– HIT increases submaximal cardiovascular strain and may delay full recovery, even if it doesn’t feel worse in the moment. HIT may produce “silent fatigue.,” perceived as easier but recovering slower
– Submaximal HR and HR recovery can detect persistent fatigue, esp. post-HIT blocks—track those metrics.
– Athletes in INT group didn’t fully recover after just one recovery week. A reminder that intensity = debt and recovery might need to be longer than you think.
The study contrasts with earlier studies that favored HIT for rapid gains, but agrees with newer thinking that emphasizes recovery sustainability. It doesn’t dismantle the value of HIT, but it clearly situates it as higher-risk when used in overload. This research encourages coaches to monitor perceptual fatigue with the same rigor as pace or heart rate. It suggests that LIT-driven overload blocks might be safer and more sustainable, esp. mid-season or in athletes already under other life stresses. Use TRIMP or equivalent load metrics to match total stimulus, but pay close attention to recovery signals. It also reinforces the idea that the week after the block is critical, if recovery isn’t full, don’t layer more intensity.
Strength Training vs. Aerobic Interval Training: Effects on Anaerobic Capacity, Aerobic Power and Second Ventilatory Threshold in Men
This study compared the effects of 6 weeks of strength training (ST) and aerobic interval training (AIT) on aerobic and anaerobic performance markers in untrained young men. Participants (n=45) were split into three groups: ST, AIT, and a control group. Aerobic capacity was measured using a graded cycling test (incl. VO₂max and second ventilatory threshold/VT2), while anaerobic capacity was assessed via the Wingate test. Both ST and AIT improved VO₂max and maximal power (Pmax), but only AIT improved performance at the submaximal ventilatory threshold (VT2). ST improved peak power (PP) and mean power (MP), indicators of anaerobic performance.
Practical takeaways:
– Strength training significantly improves VO₂max and maximal aerobic power, even in the absence of traditional cardio. Yes, really.
– However, it does not improve VT2, a key endurance performance marker.
– For runners in anaerobic-aerobic crossover sports (trail, OCR, short ultras), strength training offers dual benefits: anaerobic power + VO₂max.
– AIT improved oxygen uptake at VT2 (moderate ES = 0.64), reinforcing its relevance for pacing and sustained effort.
– Six weeks of ST and AIT resulted in ~5–9% gains in VO₂max, a meaningful change for athletes, not just couch-to-5K folks.
This study was non-randomized, lacked physiological mechanism tracking (e.g. blood markers, mitochondrial adaptations), used cycling (not running), and involved untrained men only. So be skeptical when extrapolating. Still, it’s a well-structured, and the paper offers a clear, tidy contribution to a murky topic: how much aerobic benefit can you squeeze from the weight room? The generalizability for trail/ultra populations might be low. The lack of randomization, sex diversity, and longer follow-up limit conclusions. Still, the authors show a surprising VO₂max boost from ST, and rightly temper their findings by noting VT2 didn’t budge.
Strength training is officially not just a sideshow for runners. This study shows it can move the VO₂max needle and boost anaerobic power, even without a single tempo run. For runners in the base phase, time-crunched athletes, or those unable to tolerate large aerobic volumes, this supports strategic strength blocks. We can aim not only for muscular and structural benefits but also for aerobic power. However, we still need aerobic interval work to improve pacing, fatigue resistance, and VT2, critical in races +1 hour. Strength can complement endurance, not replace it. For coaching plans, this validates mixing strength in 2–3x/week, esp. when performance and VO₂max gains are needed but long aerobic sessions aren’t feasible.
Gastrointestinal symptoms among recreational long distance runners in China: prevalence, severity, and contributing factors
This one feels personal. The study surveyed 805 Chinese recreational long-distance runners to explore how common GI symptoms are during races, what causes them, and how runners try to manage them. About 26.1% of runners reported GI issues like bloating, urge to defecate, and stomach pain, esp. during the middle of a race. Nutritional strategies, particularly what and when athletes ate before and during races, had a big impact. Foods high in fat, fiber, protein, or fermentable carbs, and eating within 30 min. of starting a race, were key culprits. Interestingly, both very low and very high training volumes were linked to more GI problems.
Practical takeaways:
– Avoid eating in the 30 min. before a race. A longer gap (2–4 hrs) is safer for digestion.
– Foods high in fat, fiber, protein, or FODMAPs (e.g., legumes, dairy) are more likely to cause GI distress during races, practice your fueling in training.
– Bloating was more likely when runners consumed isotonic gels, sports and energy drinks, and bars.
– GI distress peaked mid-race, esp. in runners under 35 or those with a history of GI issues.
– Runners doing very little (20–50 km/month) or a lot (>500 km/month) were more prone to GI issues.
– Female runners reported fewer distress than males, counter to some prior research.
– Only 5.5% made no dietary adjustments pre-race, but even among those who did, awareness and efficacy varied.
This is based on self-reported data, cross-sectional design. Cultural dietary habits may limit generalizability outside China. This is a well-executed study, and reinforces the importance of personalized fueling plans, esp. gut training. Besides that, I encourage athletes to log pre-race meals and symptoms, experiment with lower-FODMAP options, be wary of last-minute snacks, and monitor monthly volume not just for performance, but GI risk too. Also, normalize that GI issues are common, but manageable, with planning, pacing, and practice.
Probiotic supplementation for optimizing athletic performance: current evidence and future perspectives for microbiome-based strategies
A topic that always interests me, this paper explores the emerging role of probiotic supplementation in enhancing athletic performance, mental health, and recovery through microbiome modulation. The authors summarize evidence from +100 studies spanning endurance, intermittent, and strength sports, suggesting that certain probiotic strains can reduce inflammation, improve lipid metabolism, alleviate GI distress, and even enhance VO₂max and sleep quality. While benefits vary by strain, dosage, and exercise type, the review concludes that probiotics hold potential, but the field remains young and inconsistent. Importantly, the gut-brain axis and microbiota-liver communication are proposed as plausible mechanisms driving observed changes in performance and recovery. This is one of the most complete overviews yet of probiotic use in sports, though gaps in resistance training data and the variability of strains limit direct prescription.
Practical takeaways:
– Some probiotics (e.g., Bacillus subtilis BS50, multi-strain cocktails) reduce bloating, diarrhea, and gut discomfort in endurance athletes. Could be valuable for runners with race-day GI issues.
– Specific strains like Streptococcus salivarius or L. casei have reduced incidence or severity of upper respiratory infections, common during heavy training or travel.
– Studies report VO₂max increases, improved time-to-fatigue, and better lipid metabolism (via short-chain fatty acid and PUFA profiles), but mostly in multi-strain or long-duration protocols.
– Probiotics may reduce anxiety, improve sleep quality, and support mental flexibility and mood.
– Benefits are not universal, L. helveticus helped in one study, but not in another. Strain, dose, and duration matter more than the label “probiotic.”
No magic bullet. Many studies show no significant effects, esp. with short interventions, non-endurance sports, or generalized dosing. Don’t expect miracles yet. The methodology across cited studies is highly variable. Doses ranged from 1 billion to over 400 billion CFUs, durations from 4 to 16 weeks, and populations from marathoners to dancers. This limits generalizability and raises the risk of cherry-picking positive results. The paper does a solid job noting inconsistencies and calling for strain-specific protocols. That said, I would encourage probiotic testing or trials only with clear symptoms (e.g., recurring GI distress, persistent URTIs) and after basic lifestyle tweaks are addressed. Use athlete-reported symptoms and mood tracking to assess possible benefits. Based on this study, I would prioritize multi-strain supplements used in studies with endurance athletes, esp. in race build-up phases. Be wary of overpromising. This also opens space for broader discussions about the interconnectedness of stress, gut health, and recovery.
The Physiology and Psychology of Negative Splits: Insights into Optimal Marathon Pacing Strategies
This mini-review explores why running the second half of a marathon faster than the first, aka a negative split, might be the smartest pacing strategy. It synthesizes evidence across physiology and psychology, highlighting that negative splits preserve glycogen, reduce thermal and cardiovascular stress, and enhance performance efficiency. The article discusses the mechanisms behind fatigue, cardiovascular drift, thermoregulation, and biomechanics, and offers training and psychological techniques to help runners implement negative splits effectively. However, the strategy isn’t for everyone, esp. if you’re a first-timer riding the adrenaline wave at mile 1. “Negative splitting requires confidence, patience, and a tolerance for initial underperformance.”
Practical takeaways:
– A conservative first half increases fat utilization in early stages and reduces glycogen depletion and minimizes early fatigue, allowing for a stronger finish. Conserving glycogen for later is particularly critical for avoiding “the wall.”
– Visualization, mindfulness, and mental rehearsal help override the “bank time” urge and reinforce controlled pacing. Knowing where elevation changes, aid stations, or psychological barriers (e.g., boring sections or false flats) occur can help plan a sensible progression strategy.
– Slower early pace keeps core temps rise in check, reducing central fatigue and helping you stay efficient in the heat.
– A gradual build-up in pace reduces cardiovascular drift and perceived exertion. This leads to a more linear rise in effort across the race, not a sharp spike, and helps runners psychologically “save” their surge for the right moment.
– Conservative pacing delays neuromuscular fatigue, helping maintain efficient stride mechanics, reduce ground contact time increases, and avoid movement breakdown seen in positive splits.
– Lower early intensity reduces eccentric load and mechanical stress, minimizing muscle fiber damage and creatine kinase elevations that correlate with mid-race pace drop-offs.
– Long runs with a fast finish, controlled progression runs, and negative split intervals train body and brain for the strategy.
– While tech (e.g., GPS, HR monitors, wearable insoles) is more available, actual skill in using them to adjust pacing is what differentiates success.
– Hills, heat, humidity, crowds, etc., all mess with pacing intentions. Runners need adaptable pacing strategies. Negative splits are great if conditions and course profile allow.
Of course, I’d love to see future work expand on how this strategy adapts to hilly courses or long ultras; terrain and time distort pacing feedback significantly. We can teach negative splits not as an outcome but as a skill. The strategy doesn’t need to be dramatic, even splits with a mild pickup in the last 10K may be enough to reap the benefits. As a coach I build pacing awareness through progressive workouts and talk athletes through the psychology of restraint. Use tools like RPE journaling, visualization prompts, and race simulations to shift their mindset to “build mastery.” Reinforce that being strong in the second half is a signature of a well-trained, well-grounded runner. Pacing isn’t just about split times. It’s a philosophy of readiness and restraint.
Embodied Cognition, Endurance Running and Evolution
This ambitious philosophical paper brings together the Endurance Running Hypothesis, which argues that our species evolved anatomically for long-distance running with the Evolutionary Embodied Cognition Hypothesis, which emphasizes that our cognitive processes are grounded in our bodily morphology and movement. By synthesizing anatomical, neurobiological, biomechanical, and cognitive science evidence, the authors suggest that endurance running may have catalyzed the development of specific cognitive abilities such as inference, prediction, imagination, and causal reasoning, particularly via the act of tracking prey.
Evolutionary adaptations for endurance (e.g., spring-like tendons, efficient thermoregulation, upright posture) correlate with both physical and cognitive advantages. The Runner’s High may have offered an evolutionary reward mechanism to reinforce persistence hunting. Transient hypofrontality (reduced activity in the prefrontal cortex during sustained effort) might explain why running sometimes produces states of calm, clarity, and flow. Running could have been a form of embodied “cognitive training,” allowing early humans to develop inference, spatial reasoning, and hypothesis-testing through dynamic environmental interaction. Running shaped our bodies and our minds.
This is a philosophical synthesis, not an experimental study. While biologically plausible, many causal claims are speculative. Running is not the reason for human cognition, but it likely played a meaningful part. Just as we avoid singular narratives in coaching, this paper embraces complexity and interdependence. This paper doesn’t just say “we are born to run.” It says: we are born into cognition through running. For me it gives us more reason to believe that running is a way of knowing, of shaping the body and the very architecture of the mind.
Diminished Motivation for Voluntary Exercise and Metabolic Dysfunction in Psychiatric Disorders: A Behavioral Perspective on Autism Spectrum Disorder and Depression
For someone dealing with mental illness, this study is a valuable piece of research. Authors explored how motivation for exercise and metabolic health are intertwined in models of autism spectrum disorder (ASD) and major depressive disorder (MDD). Using Shank3B-knockout mice and stress-susceptible mice, the researchers observed reduced voluntary exercise and spontaneous movement in both groups, alongside significant metabolic dysregulation. Despite lower activity during the dark (active) phase, the ASD and MDD mice exhibited higher energy expenditure during rest (light phase), suggesting inefficient or maladaptive metabolism. Takeaway: motivation to exercise may not just be a behavioral issue in psychiatric illness, it could reflect deeper metabolic dysfunction.
Practical takeaways:
– If someone with depression or ASD avoids exercise, it might be tied to metabolic imbalance, not just “low motivation.”
– Exercise timing matters. The surprising spikes in energy usage during rest could suggest disrupted circadian metabolism could influence energy levels and mood.
– Low voluntary exercise in these models tracked closely with stress susceptibility and behavioral despair, meaning we might use changes in spontaneous activity as early signals of decline.
– Future strategies could pair exercise with metabolism-targeting therapies to break the cycle.
– Motivation ≠ laziness. Reframing reduced movement as a biological-metabolic outcome may help dismantle stigma and tailor more compassionate interventions.
Findings come from mouse models; while mechanisms are suggestive, translation to human runners with depression or neurodivergence remains speculative. This study deepens our belief in meeting runners where they are. “Lack of motivation” may be a symptom, not the cause. Not all inactivity is a discipline issue. Coaching must support athletes through ebbing energy cycles and offer flexible, low-pressure entry points for movement. A mood log or shift to curiosity-based training might be more helpful than a standard plan. Coaches should be alert to sudden drops in movement, energy, or mood, esp. if the athlete isn’t overtrained. If an athlete with a history of mental health struggles stops running, we might consider stress load, sleep quality, and metabolic health before pushing accountability. Tools like “tiny run” challenges, intrinsic reward systems, or even deliberate rest phases can help support long-term adherence without pressure. When an athlete ghosts the plan, their metabolism might be crashing the party.
Maximal strength training improves muscle-tendon properties and increases tendon matrix remodulation in well-trained triathletes
This randomized controlled study examined whether a 12-week max. strength training (ST) program, on top of regular high-volume endurance training, could improve tendon stiffness and muscle strength in well-trained triathletes, and whether this was mirrored in specific blood biomarkers of tendon remodeling. 18 Sthletes were split into an ST+endurance group and a control (endurance-only) group. The ST group showed significant increases in Achilles (+39%) and patellar (+16%) tendon stiffness, maximal strength (squat 1RM +20%), and serum markers of extracellular matrix remodeling (e.g., MMP-I, MMP-III, decorin). No improvement was seen in running or cycling economy.
Practical takeaways:
– Worth repeating: strength training works, even in high-volume endurance athletes. Your tendons can adapt when you’re running 8–10+ hours/week.
– The study showed acute increases in blood markers and decorin, involved in breaking down and rebuilding collagen. Translation: your body knows it’s laying new bricks.
– Tendon stiffness and 1RM strength increased in tandem. That likely means better force transmission, higher power output.
– Neither running nor cycling economy improved. That’s surprising, and humbling. Tendon adaptation ≠ immediate performance gain.
Improvements in stiffness didn’t translate into better endurance efficiency. This suggests the pathway from strength to endurance performance might be indirect, slower, or mediated by other factors like neural drive, technique, or training phase. This dovetails with my focus on sustainability and adaptability: strength training becomes not just a tool for racing faster but running longer, with more control, into later seasons of life. For trail and ultra runners, whose tendons take a pounding on descents and long climbs, this means building a weekly ST routine focused on slow, high-tension loads (e.g. 3×5-8 reps at ~85–90% 1RM) could be a key part of training longevity. Also: play the long game.
Running on Empty: A Review of Relative Energy Deficiency in Sport
Here’s a good study worth reading before and in combination with the next one. This undergraduate review explores the causes, effects, and clinical management of Relative Energy Deficiency in Sport (REDs). Drawing from over a decade of research, the paper outlines how low energy availability (LEA), intentional or unintentional, disrupts normal physiological and psychological function across nearly all bodily systems, regardless of sport, age, or gender. It explains REDs’ evolution beyond the Female Athlete Triad to encompass broader symptoms (e.g., impaired bone, immune, hormonal, cardiovascular function). The review highlights how REDs is chronically underdiagnosed, partly due to poor awareness among coaches, athletes, and healthcare providers, and concludes with a strong case for improved educational and screening efforts.
Practical takeaways:
– REDs impairs performance: reduced muscle strength, low endurance, slower recovery, and decreased motivation are direct consequences.
– REDs can affect any runner, not just elite women. If your energy intake doesn’t keep pace with your training load, you’re at risk.
– Fatigue, mood swings, frequent injuries, or irregular menstruation (or loss of libido in men) may be symptoms of LEA. They’re not “just part of training.”
– Carbohydrate availability matters just as much as total calories. Low-carb athletes may show signs of REDs even if total intake is high.
– Hormonal contraceptives can mask REDs in females by inducing withdrawal bleeding. menstrual function should not be used as a sole marker.
– Screening and early intervention tools exist, like the IOC REDs Clinical Assessment Tool, but are still underused in most training environments.
– Coaches and family physicians often lack the knowledge to identify early REDs signs. Interventions should be combined with cultural and structural support to be effective.
While not original research, it thoughtfully curates peer-reviewed findings into a readable and educational resource. The review could go deeper in a few aspects, such as into performance science literature on energy availability in ultra athletes. Still, for a paper rooted in undergraduate scholarship, it goes above and beyond. A strong review with excellent synthesis, useful for anyone supporting athletes in high-load sports like trail and ultrarunning. In the end, we need to normalize fueling as much as we normalize volume. REDs prevention should be built into athlete onboarding, esp. in adolescents, postpartum athletes, and those returning from injury. I intend to make REDs screening part of intakes, and we should train ourselves to spot the signs early.
Do coaches’ and athletes’ perceptions of relative energy deficiency in sport align? A narrative review
This review explores how coaches and athletes perceive relative energy deficiency in sport (REDs), a condition stemming from low energy availability that can seriously impact health and performance. Despite the rising concern around REDs, only ~3% of participants in REDs-related research since 2018 have been coaches. This study critically examines 343 studies, emphasizing the disconnect between how athletes experience REDs firsthand and how coaches perceive or engage with it from a distance. It highlights key challenges: limited coach education, silence around weight and energy intake, and misalignment in perceived roles and responsibilities within the coach-athlete relationship. .
Practical takeaways:
– Coaches are often undereducated about REDs, despite being key influencers of athlete behavior and training loads.
– Athletes frequently hesitate to discuss nutrition, body composition, or menstrual health with coaches, due to fear of judgment or prior negative experiences.
– Trust, closeness, open communication are critical; when present, they can help prevent REDs or support recovery.
– Weight-focused coaching language and reliance on skinfolds can trigger or exacerbate disordered eating behaviors.
– Aligning coaching practices with up-to-date REDs education can reduce risk and foster long-term health.
Interventions often fail when coaches are excluded from REDs education and prevention strategies, or when they don’t see REDs as part of their responsibility. REDs education needs to be part of coach certification, yes, but also embedded into everyday training language, check-ins, and goal-setting. This review suggests that athletes are most at risk when they don’t feel seen as full humans. For coaches, this means shifting from weight-centric feedback to performance and well-being markers, inviting honest conversations, and partnering with RD/MDT professionals when red flags arise. Create psychologically safe environments where a runner can say “I’m not okay” without fear of being benched.
Sports in Natural Forests: A Systematic Review of Environmental Impact and Compatibility for Readability
This review maps the state of global research on sports activities in natural forests, analyzing 148 peer-reviewed papers from 1993–2024. The authors identified six key research areas, including sports tourism, urban forests, and environmental impacts. The most commonly studied activities were hiking, trail running, mountain biking, and orienteering, praised for their mental and physical health benefits but scrutinized for potential ecological harm. The paper calls for integrated governance that balances conservation with recreation and spotlights the growing importance of urban forest access in climate-resilient cities.
Practical takeaways:
– Activities like trail running, hiking, and mountain biking have proven benefits for mood, stress, and physical health, beyond what urban settings offer.
– Hiking and running are generally low-impact, but skiing, motorized sports, and large trail races can cause serious soil erosion, vegetation loss, and wildlife disruption if poorly managed.
– Access to nearby forested green spaces correlates with higher physical activity and well-being. Runners living within 500m of forest or mixed treescapes were more likely to engage in frequent outdoor movement.
– Eco-tourism and trail races bring visitors and revenue, but can clash with conservation unless carefully planned with stakeholder input, trail rerouting, and limited capacity.
The review excels in scope and organization but falls short in empirical depth and stakeholder inclusion. It found a lack of empirical studies measuring long-term environmental impacts, and little inclusion of forest user voices, suggesting an evidence gap in understanding how runners and land interact over time. The authors note the absence of research from many Global South countries, and little attention is given to the politics of access. Trail runners often see themselves as nature lovers, but again research questions whether we are training like guests or invaders?
How To Calculate Maximum Heart Rate (Without Going All Out To Measure It!)
Amber Sayer, MS, CPT, CNC (Updated by Katelyn Tocci), Marathon Handbook, 2025
This is not original research, but an essay that offers a detailed overview of several common formulas for estimating maximum heart rate (MHR) without the need for maximal effort testing. It explains the limitations of the traditional “220 – age” method, introduces newer and more population-specific formulas like Gulati (for women), Tanaka (for older adults), and HUNT (for active individuals), and explores why MHR matters for athletes who use heart rate-based training zones. While acknowledging the inherent variability in all estimations, it emphasizes the role of heart rate monitoring in optimizing training intensity and achieving performance gains. The article is practically valuable, esp. for newer athletes or those intimidated by all-out testing, though it doesn’t dive deeply into zone calibration beyond MHR.
Practical takeaways:
– Formulas matter: don’t default to “220 – age”, use formulas that match your demographics (e.g., Gulati, Tanaka).
– Environment matters: altitude can lower your max HR, consider that if you’re training in the mountains.
– Genetics matter: Your MHR isn’t necessarily a marker of fitness and is mostly inherited.
– MHR is stable, you can’t change it much, but you can train your response to intensity instead, i.e., how long you can sustain high % of it.
– Field testing (when appropriate) is still king: if you want precision, esp. for racing or intervals, nothing beats an actual test with a HR monitor.
– All formulas have a margin of error (±10–12 bpm), so don’t treat estimates as gospel. Training should be zone-informed, not zone-obsessed.
The article does a solid job synthesizing multiple formulas and making them accessible. That said, it misses an opportunity to unpack why MHR varies across populations, e.g., the physiological underpinnings of sex-based differences or how stroke volume and autonomic regulation impact these estimates. The piece also overstates the importance of MHR without discussing how threshold-based training (e.g., lactate or ventilatory threshold) can sometimes be more effective than MHR-percentage training for experienced runners. Lastly, it could’ve included guidance on how to validate zones over time, say, through perceived exertion, race splits, or tempo efforts. Also: some caveats about using HR data during hot weather, illness, or overtraining states would help readers avoid misinterpretation.
There is value of tailoring HR zones for each athlete (esp. versus using generic app presets). It’s a reminder to revisit zone estimates after major fitness shifts (e.g., post-race recovery or altitude blocks). As a coach, I’d use this to help athletes triangulate their HR zones: use a formula to start, refine with effort-based feedback, and validate against key workouts (like tempo or long run efforts). HR isn’t a gospel, but it’s a useful guidepost, esp. when paired with cues like breathing, form, and terrain..
Top 7 Peptide Therapies for Endurance Athletes
All About Peptides Team, medically reviewed by Dr. Michael Fortunato, MD, 2025
This article breaks down seven peptide-based therapies that endurance athletes are using, or at least seriously eyeing, for recovery, performance, metabolism, and body composition. These include BPC-157 and TB-500 (for tissue healing), CJC-1295 + Ipamorelin (growth hormone regulation), MOTS-c (mitochondrial optimization), AOD9604 (fat metabolism), SLU-PP-332 (an exercise mimetic), and GLP-1 agonists (weight and glucose regulation). While the mechanisms are compelling and often backed by animal studies, human data, esp. in trained populations—is still pretty sparse. Plus, several of these compounds are banned by WADA or under review. The essay is informative but mostly speculative, and leans too hard into the performance-hacking narrative without enough counterbalance. Good for awareness, but not something we want to promote or normalize.
Practical takeaways:
– BPC-157 and TB-500 may accelerate healing from overuse injuries by promoting tissue repair and angiogenesis, but they’re banned substances and mostly tested in animals.
– CJC-1295 + Ipamorelin can potentially improve recovery, sleep, fat metabolism, and muscle retention through endogenous growth hormone stimulation. Effects are gradual and may complement structured training blocks.
– MOTS-c shows early promise in improving mitochondrial efficiency and glucose use, potentially a game-changer for sustained aerobic performance if replicated in humans.
– AOD9604 may enhance fat oxidation and improve power-to-weight ratio, but comes with the big red flag of WADA prohibition.
– SLU-PP-332, the so-called “exercise mimetic,” shows interesting cellular-level changes in mice, but human relevance is purely speculative.
– GLP-1 agonists (like semaglutide) may help with weight management and improve glucose handling, but can cause muscle loss if not paired with resistance training and adequate protein.
– Many of these peptides are banned in competitive sport or under review. Most research is early stage or non-athlete focused.
Worthy footnotes
Is it possible to “outrun” our limits? An Examination of Biomechanical and Hemodynamic Parameters in Relation to Fatigue in Division 1 Distance Runners
Madison Buddenbohn, Master of Science In Biology May 2025
This Master Thesis explored how runners’ biomechanics (like stride length, ground contact time) and hemodynamic responses (like heart rate, VO₂, ventilation) change during a progressively harder treadmill run to exhaustion. Twenty Division I collegiate distance runners (men and women) were tested using wearable sensors and VO₂ masks while rating their perceived exertion every minute. The student looked for patterns in when and how fatigue showed up, and how it differed between sexes. They found biomechanical breakdown occurred earlier than major physiological shifts, especially in female runners who showed longer stride lengths but higher internal effort costs. Runners often compensate with biomechanical tweaks (like shorter strides or higher cadence) before heart rate or VO₂max shift drastically. As fatigue sets in, longer GCT can signal a loss of elastic recoil and increase injury risk.
This is an impressively integrated, data-rich study for a thesis. It bridges biomechanics, hemodynamics, and perceptual fatigue in a way that’s both conceptually sound and practically useful. However, the small, homogenous sample limits its applicability. This study adds to a growing body of work emphasizing the importance of durability and fatigue resistance in endurance performance, not just peak fitness or VO₂max. It aligns with research on fatigue-induced form breakdown and challenges overly simplistic assumptions of equal effort across athletes.
Exploring the Non-Targeted Metabolomic Landscape in Endurance-Trained Runners Following 10 Weeks of Different Dietary Patterns and Concomitant Training
Anna Maria Kripp et al., Journal of the International Society of Sports Nutrition, 2025
This randomized, 10-week intervention study explored how three different diets—Low Glycemic Index (LOW-GI), High Glycemic Index (HIGH-GI), and Low Carbohydrate High Fat (LCHF)—affected the metabolomic profiles of endurance-trained male runners, all following the same training regimen. Researchers analyzed fasting blood plasma samples before and after the intervention using non-targeted metabolomics via LC-MS. The LCHF group showed the most pronounced metabolic shifts, especially in lipid metabolism, with 179 regulated metabolites. The HIGH-GI and LOW-GI groups had 139 and 111 changes, respectively, with smaller and less distinct profiles. Key differences included changes in phospholipids, carnitines, amino acids, and glycerolipids, each suggesting unique metabolic adaptations and possible performance implications.
In other words, LCHF diet increased markers of fat metabolism (e.g., carnitines, ketone bodies) but also reduced carbohydrate metabolism markers, potentially compromising high-intensity performance. HIGH-GI diet led to greater insulin response, reduced fatty acid oxidation, and an increase in glycerolipids, suggesting less efficient fat usage. And LOW-GI diet showed signs of improved metabolic flexibility (some fat adaptation without full suppression of carb metabolism), which might be a sweet spot for endurance athletes aiming for balance. Even without major performance differences, the internal biochemical environment changed significantly across diets, hinting at longer-term implications for health and endurance. Metabolomic shifts don’t directly equate to performance outcomes. The LCHF group’s reduced amino acids and upregulated lipid species may sound efficient, but performance trade-offs remain unclear, especially for high-carb-dependent sports.
Vegetarian Diets and Athletic Performance: Nutritional Strategies and Health Implications
Somanpreet Singh, Preprints.org, 2025 (not peer-reviewed)
Moving on to the next diet related study. This review explores whether vegetarian diets can support athletic performance, and the answer is a yes (of course). When well-planned, plant-based diets can sustain both endurance and strength athletes, thanks in part to their high carb content and antioxidant benefits, which may aid recovery. However, they also come with nutritional minefields: lower protein quality, and potential deficiencies in iron, B12, zinc, omega-3s, and creatine. These gaps don’t automatically impair performance, but they demand active monitoring and, often, supplementation. For coaches and athletes, the takeaway is clear: it’s not about whether vegetarianism is better or worse, but whether the diet is complete for the athlete’s needs, training load, and recovery demands. This review doesn’t break new ground, but it synthesizes current research into a practical, readable format.
A study on the effect of acute hyperbaric oxygen intervention on aerobic endurance
Hu et al., Journal of Physiological Anthropology, 2025
If you strap yourself into a hyperbaric chamber for an hour, what do you get? A calmer nervous system, a slightly lower HR, and exactly the same VO₂peak as before. This study tested whether a single 60-min session of mild hyperbaric oxygen therapy (HBO) at 1.3 ATA (100% oxygen) could improve aerobic endurance, cardiac function, pulmonary function, and autonomic balance in 14 healthy young men. The intervention significantly reduced resting HR and increased short-term HRV, indicating increased parasympathetic activity. However, it did not improve VO₂peak, time to exhaustion, or other performance markers. Pulmonary and cardiac functions were largely unchanged, aside from the lowered resting HR. This study is a helpful reminder that while recovery markers like HRV are worth watching, they don’t always mean you’re fitter or faster. So you could drop big bucks on HBO gear, but a nap do the trick…
Investigation of Core Endurance, Performance and Functional Activities in CrossFit Participants
Songül Bağlan Yentür et al., Journal of Bodywork & Movement Therapies (pre-proof), 2025
This new study compared core endurance, performance, and movement quality in CrossFit athletes, gym-goers, and sedentary adults, and found that CrossFitters came out on top across almost every physical test. Using a suite of static and dynamic core endurance assessments, sprint and jump tests, and the Functional Movement Screen )FMS), the researchers found that CrossFit athletes had stronger cores, better cardiovascular recovery, and higher jump and sprint performance than the other groups. Surprisingly, though, these advantages didn’t strongly correlate with FMS scores or specific performance markers, suggesting that core strength (in CrossFitters) alone doesn’t guarantee better movement patterns or skill transfer. For coaches, this study confirms that CrossFit-style training can build high levels of general strength, core stability, and physical preparedness, but that’s not enough. Core endurance must be trained alongside dynamic movement control, esp. under fatigue. Functional screens like the FMS can help identify gaps in movement quality, but shouldn’t be used in isolation. Coaches should integrate loaded carries, anti-rotation work, and coordination drills into programming, and resist assuming that a strong athlete is necessarily a safe or efficient mover.
Determinants of Performance in Ethiopian Short-Distance Runners: A Mixed-Methods Investigation of Training Facilities and Environmental Influences
Arefayne Mesfen Dessye, Journal of Bodywork & Movement Therapies, Forthcoming 2025
This mixed-methods study investigates what drives performance in Ethiopian short-distance runners, a group often overshadowed by the country’s long-distance legacy. By surveying and interviewing 230 athletes across major training centers, the research identifies coaching quality, environmental conditions, recovery practices, nutrition knowledge, and psychological factors like motivation as key performance determinants. Athletes trained by coaches with modern methodologies and higher educational levels were 3.67 times more likely to perform well. Cooler training environments (10–20°C) were linked to 15% faster race times, while motivation and self-efficacy had a strong positive correlation with performance (r = 0.45). Nutritional awareness and biological recovery strategies also emerged as crucial. Coaches should prioritize ongoing education, integrate psychological support, and tailor training to both environmental context and event-specific demands. The research reinforces the need to treat short-distance runners not as an afterthought in endurance-dominant cultures, but as athletes whose success depends on dedicated support, strategic planning, and belief in their potential.
Influence of Bionic Footwear on Lower Limb Biomechanics Across Running Experience Levels: A Controlled Laboratory Study
Li X. et al., Frontiers in Sports and Active Living, 2025
This study tested how “bionic” footwear, designed with thinner, unstable midsoles to mimic barefoot running, affects lower limb biomechanics in novice versus experienced male runners. 14 Heel-strikers ran in both bionic and neutral shoes while researchers measured joint angles, angular velocities, and forces during the stance phase. Bionic shoes increased ankle and hip range of motion and altered angular velocity patterns. Experienced runners showed more efficient, controlled mechanics, while novices demonstrated greater variability, esp. at the knee, suggesting less neuromuscular control and potentially greater injury risk when using unstable footwear. Bionic shoes may be useful for experienced runners looking to enhance ankle mobility, muscle engagement, or proprioception, but they demand solid baseline strength and control. Novices should avoid jumping into minimalist or unstable footwear until they’ve developed foundational joint stability and motor coordination. Findings reinforce the importance of matching footwear to foot type and to experience level and current training phase. Treat shoes as part of the training system.
Resilience against exercise-related coronary atherosclerosis: A case study in a master athlete participating in 500 marathons
Knechtle et al., Sports Medicine and Health Science, 2025
This case study examines the cardiovascular health of a 60-year-old recreational male athlete who completed +500 marathons and ~127,000 km of running across 30 years. Despite such high training volume, coronary CT angiography revealed no signs of plaque or calcification. The runner maintained a low cardiovascular risk profile (ESC-SCORE2 = 3.3%), ran at low-to-moderate intensities (7.5–9.5 km/h), avoided smoking or alcohol, and remained consistent in training without long breaks. The findings challenge growing concerns that lifelong endurance training inevitably leads to coronary atherosclerosis, suggesting that volume alone, when paired with healthy lifestyle habits and moderate intensity, may not increase cardiovascular risk. This emphasizes individualized cardiovascular screening over blanket caution against high training volume. Lifestyle factors and training approach may be more influential than total mileage in predicting heart health outcomes.
Estimating Blood Lactate Dynamics from Sweat Lactate and Sweat Rate After High-Intensity Exercise – A Pilot Regression-Based Study
Hattori & Yashiro, Open Access Journal of Sports Medicine, 2025
This pilot study explored whether time-series data from wearable sensors measuring sweat lactate and sweat rate could predict blood lactate dynamics after short, high-intensity exercise. Five trained male athletes completed a 30-sec Wingate anaerobic test, during which their sweat and blood biomarkers were continuously monitored. While individual peak values weren’t reliably aligned, the second sweat lactate peak (~7.5 min post-exercise) closely matched the delayed blood lactate peak (~6.4 min). A regression model using continuous SWL and SWR data predicted BL with high accuracy (R² = 0.763), suggesting that combining these two sweat-based measures can effectively reflect systemic metabolic responses. This opens the door to non-invasive, real-time lactate monitoring using minimal sensor setups, esp. useful in field or race environments where traditional blood testing is impractical. It emphasizes the importance of tracking physiological trends over time rather than relying on single peak values. Coaches could eventually use these tools to monitor fatigue, recovery, and metabolic stress on the fly, though more validation is needed before widespread adoption. Peak values weren’t predictive, but continuous data were. For now, the key takeaway is that meaningful physiological insight often lies in patterns.
Training Effects on Running Gait Variability in Older Adults
Raphael Mesquita, Mario Nuñez-Lisboa, Arno Marotta, Marine Moulin, Arthur Dewolf (Preprint, 2025)
This study shows that older adults who regularly train have more complex and adaptable running gait patterns than their untrained peers, measured by higher entropy and lower variability in stride data. While untrained older runners showed more rigid, less stable patterns, trained individuals demonstrated refined motor control, suggesting that physical activity helps preserve adaptability with age. Though limited by a small sample and some participants unable to complete the task, the research supports using variability (not just consistency) as a marker of healthy, resilient movement in older runners.
Running Ahead of the Evidence: The Need for Research on Exercise and Brain Health in Perimenopause
Teresa Liu-Ambrose & Cindy K. Barha, Maturitas (2025)
This editorial lays out a sharp and overdue argument: despite the heavy societal and health burdens linked to cognitive decline in perimenopausal women, there is shockingly little evidence on how exercise might help. The authors explain how perimenopause uniquely affects brain structure, function, and dementia risk, and suggest that aerobic and resistance training could mitigate these risks. While the broader benefits of exercise are often promoted, especially online, they point out we’re “running ahead of the evidence” when it comes to its cognitive benefits during perimenopause. It’s a call to action, not a study, but a compelling one.
Subjective cognitive complaints during this time are predictive of later-life decline. Aerobic exercise may benefit brain health by improving cardiovascular fitness and reducing arterial stiffness, both linked to cognitive function. Resistance training may help prevent muscle degradation, which correlates with brain aging and dementia. While promising mechanisms are supported in rodent studies and correlational data, there are zero RCTs testing cognitive outcomes of exercise in perimenopausal humans.
In short: brain fog, memory blips, motivation swings are real, physiological, and too often dismissed. While exercise is beneficial for mood and general health, we should tread lightly when positioning it as a direct cognitive booster, at least until stronger evidence arrives. Instead, validate the experience, support consistency, and offer tools to track cognitive well-being alongside physical metrics. Importantly, allow space for athletes to not feel sharp some days, and don’t assume intensity = better.











