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How this roadmap works

Strongman is one of the least studied strength sports. Only a few dozen peer-reviewed papers deal with it, and many of those recruited rugby players or recreational lifters rather than strongman competitors. This page maps what is known, names what is not, and points to the work that would close each gap.

The structure is borrowed from NASA's Human Research Roadmap,1 which organizes spaceflight health research into risks, the knowledge gaps inside each risk, and the tasks that would close them. NASA rates each risk by likelihood and consequence. We don't have the data to do that honestly yet, so each risk area here is rated by how much strongman-specific evidence exists instead.

1 · Risk

A broad area of concern

A health or performance problem the sport faces, such as injury or drug use, with a summary of the published evidence.

2 · Gap

A specific open question

Something we would need to know to reduce that risk. Each gap has a permanent ID, like INJ-2, that you can cite or link to.

3 · Task

The work that closes it

A study, dataset, or schema change. Tasks are tagged by whether OpenStrongman data can do the job or outside research is needed.

Evidence
None no strongman-specific study found Minimal one or two descriptive studies Limited surveys, case reports, or small samples only Developing includes lab or controlled studies
Task path
OpenStrongman data answerable with current fields as coverage grows New field needed needs a proposed schema addition Outside research needs lab, clinical, or survey data
9
risk areas
33
knowledge gaps
11
tasks OpenStrongman data can take on
14
tasks that need a new data field
Show tasks43 tasks

Risk areas

INJ

Musculoskeletal injury

Evidence: Limited4 gaps

Risk that strongman training and competition cause injuries at rates, body sites, or severities that have not been measured well enough to prevent them.

What the evidence says

The only strongman-specific injury rates come from one retrospective survey of 213 athletes. In it, 82% reported an injury in the previous year, at 5.5 training injuries per 1,000 hours. The lower back (24%), shoulder (21%), biceps (11%), and knee (11%) were injured most often, and athletes were 1.9 times more likely to be hurt during implement training than during traditional lifting once exposure was accounted for 2. A systematic review of the weight-training sports placed strongman (4.5 to 6.1 injuries per 1,000 hours) at the top of the range with Highland Games, and noted that only 4 of 20 studies used a prospective design 3. Spine modeling found that the yoke carry produced the highest spinal loads of seven events tested, and that the atlas stone makes a neutral spine impossible 4. Beyond that, the evidence is case reports of biceps, rotator cuff, and triceps injuries 5,6,7.

Knowledge gaps

INJ-1What is the true incidence of injury in strongman when it is measured prospectively rather than recalled?Open
  • Outside researchFollow a cohort of competitive athletes through one or more seasons using a consensus injury definition and hours-based exposure.
INJ-2Which competition events carry the highest injury risk?Open
  • New field neededAdd a result status field (for example Completed, Zero, Withdrew, Injured) so the number of athletes who contested each event can serve as the exposure denominator. ResultStatus
  • New field neededCompare withdrawal and injury rates by event category and implement across federations. ResultStatus
INJ-3How do upper-limb tendon ruptures happen, and how long does it take to return to competition?Open
  • Outside researchBuild a case series of distal biceps and pectoral ruptures that records the event, implement, and mechanism of injury.
  • OpenStrongman dataUse OpenStrongman result histories to measure time from the last result before a documented injury to the next competition.
INJ-4Do the spinal loads measured in the yoke and atlas stone translate into lower back injury?Open
  • Outside researchMeasure spinal kinematics in experienced athletes with 3D motion capture or inertial sensors, then link loading patterns to injury history.
CARD

Cardiovascular health

Evidence: None3 gaps

Risk that extreme body mass, maximal straining efforts, and drug use produce cardiovascular disease or early death in strongman athletes.

What the evidence says

We found no study of heart structure, blood pressure, or cardiovascular outcomes in strongman athletes. The closest evidence comes from neighboring sports. Elite competitors in a five-year screening program averaged 152.9 kg and a BMI of 43.5, which puts them at the far edge of human body size 8. Powerlifters have thicker heart walls and higher blood pressure than distance runners, although the difference disappeared once heart mass was scaled to body size 9. Among 62 top Finnish powerlifters suspected of steroid use, the risk of death over 12 years was 4.6 times that of the general population, and heart attack was one of the leading causes 10. Long-term steroid users show weaker heart function and more coronary plaque than non-users 11.

Knowledge gaps

CARD-1What do the hearts of elite strongman competitors look like, structurally and functionally?Open
  • Outside researchAdd echocardiography or cardiac MRI to the kind of competition health screening already used to collect body composition data.
CARD-2What are the long-term mortality and illness rates of former strongman competitors?Open
  • New field neededBuild a verified historical roster of competitors with dates of birth, which makes a retrospective cohort study like the Finnish powerlifting study possible. DateOfBirth
  • Outside researchLink that roster to public death records to calculate a standardized mortality ratio.
CARD-3What blood pressure and cardiac loads occur during maximal holds, carries, and overhead events?Open
  • Outside researchRecord continuous blood pressure during simulated events in competitive athletes.
PED

Performance-enhancing drugs

Evidence: None3 gaps

Risk that drug use in a largely untested sport harms athlete health and distorts the record book.

What the evidence says

No study has measured drug use among strongman competitors, and most strongman competition is not drug tested. A meta-analysis of 187 studies estimated lifetime anabolic steroid use at 3.3% worldwide and 6.4% in men, and being an athlete was one of the factors linked to higher rates 12. In a 1999 survey, 10 of 15 responding US Powerlifting Team members admitted to steroid use 13. The health consequences summarized under Cardiovascular health apply here as well 10,11.

Knowledge gaps

PED-1How common is drug use among strongman athletes, and does it differ by competitive level and division?Open
  • Outside researchRun an anonymous survey using methods designed for sensitive questions, such as the randomized response technique.
PED-2How do results differ between drug-tested and untested competition?Open
  • New field neededAdd a competition-level Tested flag so results and records can be separated, the way OpenPowerlifting does. Tested
  • New field neededCompare performance distributions in tested and untested competitions for the same events. Tested
PED-3What medical monitoring and harm-reduction practices do users actually follow?Open
  • Outside researchInterview and survey athletes and clinicians about bloodwork, cardiology visits, and cycling practices.
NUT

Nutrition and body mass

Evidence: Minimal4 gaps

Risk that the eating, weight-making, and body mass demands of the sport harm health or performance in ways nobody has measured.

What the evidence says

Body composition has been described in 18 elite competitors, who averaged 118 kg of lean mass and 18.7% body fat 8. Surveys show that athletes change their nutrition during a taper and use electrolyte drinks, caffeine, and pre-workout supplements on competition day 14,15. We found no study of energy or protein intake, weight cutting, or the metabolic health of carrying very high body mass for years.

Knowledge gaps

NUT-1What do strongman athletes actually eat, and how does it differ across weight classes?Open
  • Outside researchCollect weighed food records or validated dietary recalls from athletes in each weight class.
NUT-2How common is acute weight cutting in weight-class strongman, and does it affect results?Open
  • New field neededRecord whether weigh-ins happened the same day or the day before competition. WeighInTiming
  • OpenStrongman dataCompare results by how close each athlete's official body mass sat to the class limit.
NUT-3What happens to metabolic health when heavyweight competitors lose mass after retiring?Open
  • Outside researchFollow retiring heavyweight athletes with DXA, blood lipids, glucose, and blood pressure.
NUT-4Which competition-day fueling and supplement strategies improve multi-event performance?Partially addressed
  • Outside researchTest common competition-day strategies, such as caffeine timing and carbohydrate intake between events, in controlled trials.
PERF

Performance determinants and biomechanics

Evidence: Developing4 gaps

Risk that coaches and athletes rely on guesswork because the mechanics and physiology of strongman events are only partly described.

What the evidence says

Biomechanics is the best-studied area of the sport. A 2019 systematic review found 11 studies and called out missing data for the yoke walk, atlas stone, tire flip, vehicle pull, and log lift 16. Since then, the stone lift and yoke walk have been described in both men and women 17,18, log diameter has been shown to change force output in the push press 19, and shoulder muscle activity has been recorded before and after a real competition 20. MRI of one World's Strongest Man and deadlift champion found leg muscle volume roughly double that of untrained men, with tendon size not keeping pace 21. Most studies still use small groups of resistance-trained men rather than competitive strongman athletes, and 2D video rather than 3D motion capture 22.

Knowledge gaps

PERF-1What separates elite from sub-elite performance in each event?Partially addressed
  • Outside researchCapture 3D or inertial sensor data from competitive athletes across skill levels.
  • OpenStrongman dataRelate official body mass to event results across many competitions.
PERF-2How much do implement specifications change results?Open
  • New field neededRecord implement specifications (log diameter, stone diameter, handle type, tire dimensions) next to ImplementWeightKg. ImplementSpec
  • New field neededCompare results for the same event contested with different implement specifications. ImplementSpec
PERF-3How can difficulty be compared across different events, formats, and scoring units?Open
  • OpenStrongman dataDevelop normalized scores, such as percent of the winning result or percent of the world record, for every event.
PERF-4What are the metabolic and physiological demands of competition events?Partially addressed
  • Outside researchMeasure oxygen uptake, heart rate, and blood lactate during simulated competition in competitive athletes. Existing data come from recreationally trained men 23,24.
TRAIN

Training and competition preparation

Evidence: Developing4 gaps

Risk that training, tapering, and preparation practices are passed on by tradition rather than tested.

What the evidence says

Surveys describe how strongman athletes train 25, taper 14, and warm up on competition day 15. In the taper survey, 87% of 454 athletes used a taper, which lasted 8.6 days on average and cut training volume by about 45%. A 2026 systematic review found similar patterns across the weight-lifting sports 26. Psyching-up strategies have been mapped and tested in strength athletes, including strongwomen 27,28, and one study compared conditioning methods in powerlifting and strongman athletes 29. What is missing are controlled training trials in strongman athletes themselves. The strongman training studies that exist mostly recruited rugby players 30,31.

Knowledge gaps

TRAIN-1Which training and tapering strategies actually improve strongman competition results?Partially addressed
  • Outside researchRun controlled training and tapering trials in competitive strongman athletes.
TRAIN-2How does competition frequency affect performance and career length?Open
  • OpenStrongman dataRelate competitions per year to placing and to performance at the next competition.
TRAIN-3Does event order within a competition affect results?Open
  • New field neededRecord the order in which events were contested, then test whether later events show fatigue effects. EventOrder
TRAIN-4How should conditioning work be balanced against maximal strength training?Partially addressed
  • Outside researchCompare conditioning approaches over a full training block in competitive athletes, measuring both strength and medley or carry performance.
EPI

Participation, careers, and performance trends

Evidence: None4 gaps

Risk that the sport cannot answer basic questions about who competes, how careers unfold, and how performance is changing, because no structured dataset has existed.

What the evidence says

No peer-reviewed study describes strongman participation, career length, or age of peak performance. Open competition data changed this for powerlifting. OpenPowerlifting has supported studies of career trajectories in 6,524 lifters, who peaked around age 27 after 4 to 6 years of competing 32, trends in normative strength across 850,972 entries from 2000 to 2024 33, medal standards in para powerlifting 34, and body-mass normalization of scores 35. OpenStrongman exists to make the same kind of work possible for strongman.

Knowledge gaps

EPI-1At what age do strongman athletes peak, and how long do careers last?Open
  • New field neededCollect dates of birth for athletes. DateOfBirth
  • New field neededModel age-performance curves by event category and division. DateOfBirth
EPI-2How have records and winning performances progressed over time?Open
  • OpenStrongman dataChart world record and winning result progression by event. The Explore page already supports this for the data on file.
EPI-3How has participation grown by sex, division, nation, and federation?Open
  • OpenStrongman dataCount unique athletes per year across federations. This needs amateur and qualifier coverage, not just finals.
EPI-4What are normative performance standards for amateur competitors by weight class and age?Open
  • OpenStrongman dataPublish percentile tables by event, sex, weight class, and age group once amateur and masters data are loaded.
POP

Women, masters, adaptive, and lightweight athletes

Evidence: Minimal4 gaps

Risk that guidance built on research in heavyweight men is applied to athletes it was never tested on.

What the evidence says

Most strongman research studies men. The atlas stone and yoke studies found technique differences between male and female athletes 17,18, the taper survey analyzed results by sex 14, and a 2019 methods review called for more female and experienced athletes in future studies 22. We found no strongman research on masters, adaptive, or lightweight athletes.

Knowledge gaps

POP-1Are women's implement weights scaled fairly relative to men's?Open
  • OpenStrongman dataCompare women's and men's results as a percent of the relevant world record or winning result for matched events.
POP-2How do injury patterns and physiology differ in female strongman athletes?Open
  • Outside researchInclude enough female athletes in injury, biomechanics, and physiology studies to analyze them separately.
POP-3How does performance decline with age in masters strongman?Open
  • New field neededModel masters performance by age once dates of birth and masters results are on file. DateOfBirth
POP-4What does adaptive strongman look like, and what are its injury and classification needs?Open
  • OpenStrongman dataAdd adaptive divisions and their results to the database.
  • Outside researchDescribe classification systems and injury patterns in adaptive athletes.
DATA

Measurement and data integrity

Evidence: None3 gaps

Risk that differences in implements, timing, scoring, and officiating make results impossible to compare or records impossible to verify.

What the evidence says

We found no published research on measurement reliability in strongman competition, such as hand timing compared with electronic timing, checking implement weights, or consistency between judges. OpenStrongman applies a written world record standard (a sanctioned competition or officially organized record event with at least three judges), but the sport has no shared standard across federations.

Knowledge gaps

DATA-1How reliable are competition times and distances?Open
  • New field neededRecord how each timed event was measured (hand, electronic, or video). TimingMethod
  • Outside researchCompare hand timing with video timing for the same runs.
DATA-2Are points systems across federations comparable?Open
  • OpenStrongman dataRecalculate standings under one common points system and measure how often placings change.
DATA-3How often are published results wrong or corrected?Open
  • New field neededTrack manual verification and user-reported corrections for each result. Verified

Proposed schema additions

Several gaps can't be closed with the current columns. These fields are proposals drawn from the roadmap, not adopted changes. Each would need a schema decision before it is added to the data.

Proposed fieldWould help close
DateOfBirthCARD-2EPI-1POP-3
EventOrderTRAIN-3
ImplementSpecPERF-2
ResultStatusINJ-2
TestedPED-2
TimingMethodDATA-1
VerifiedDATA-3
WeighInTimingNUT-2

Working on one of these questions?

If you are a researcher, clinician, coach, or student planning a study that touches a gap on this page, we want to hear about it. Open an issue on the GitHub repository and include the gap ID in the title. Every gap on this page has its own link for starting that conversation.

Published a paper we missed, or think a gap is framed wrong? Tell us the same way. This roadmap will be revised as the evidence changes.

Method and references

Last reviewed September 23, 2026. Evidence summaries are based on a PubMed search of every record with "strongman" in the title or abstract (47 records as of September 2026, 8 of which use the word in an unrelated sense), plus targeted searches of neighboring strength sports. SPORTDiscus, theses, and conference abstracts have not yet been searched.

  1. NASA Human Research Program. Human Research Roadmap: Introduction. humanresearchroadmap.nasa.gov/intro
  2. Winwood PW, et al. Retrospective injury epidemiology of strongman athletes. J Strength Cond Res. 2014;28(1):28-42. doi:10.1519/JSC.0b013e3182986c0c · PubMed 23669816
  3. Keogh JW, Winwood PW. The epidemiology of injuries across the weight-training sports. Sports Med. 2017;47(3):479-501. doi:10.1007/s40279-016-0575-0 · PubMed 27328853
  4. McGill SM, McDermott A, Fenwick CM. Comparison of different strongman events: trunk muscle activation and lumbar spine motion, load, and stiffness. J Strength Cond Res. 2009;23(4):1148-61. doi:10.1519/JSC.0b013e318198f8f7 · PubMed 19528856
  5. George MS. Simultaneous acute rotator cuff tear and distal biceps rupture in a strongman competitor. Orthopedics. 2010;33(4). doi:10.3928/01477447-20100225-28 · PubMed 20415310
  6. Lorenz D. Progressive loading in a strongman following distal biceps repair: re-thinking load progression. A case report. Int J Sports Phys Ther. 2022;17(7):1430-1441. doi:10.26603/001c.39796 · PubMed 36518828
  7. Hall MM, Woodroffe L. Ultrasonic percutaneous tenotomy for recalcitrant calcific triceps tendinosis in a competitive strongman: a case report. Curr Sports Med Rep. 2017;16(3):150-152. doi:10.1249/JSR.0000000000000353 · PubMed 28498222
  8. Kraemer WJ, et al. Body composition in elite strongman competitors. J Strength Cond Res. 2020;34(12):3326-3330. doi:10.1519/JSC.0000000000003763 · PubMed 33235016
  9. Silva DV, et al. Comparison of cardiac and vascular parameters in powerlifters and long-distance runners: comparative cross-sectional study. Arq Bras Cardiol. 2018;111(6):772-781. doi:10.5935/abc.20180167 · PubMed 30281689
  10. Parssinen M, et al. Increased premature mortality of competitive powerlifters suspected to have used anabolic agents. Int J Sports Med. 2000;21(3):225-7. doi:10.1055/s-2000-304 · PubMed 10834358
  11. Baggish AL, et al. Cardiovascular toxicity of illicit anabolic-androgenic steroid use. Circulation. 2017;135(21):1991-2002. doi:10.1161/CIRCULATIONAHA.116.026945 · PubMed 28533317
  12. Sagoe D, et al. The global epidemiology of anabolic-androgenic steroid use: a meta-analysis and meta-regression analysis. Ann Epidemiol. 2014;24(5):383-98. doi:10.1016/j.annepidem.2014.01.009 · PubMed 24582699
  13. Curry LA, Wagman DF. Qualitative description of the prevalence and use of anabolic androgenic steroids by United States powerlifters. Percept Mot Skills. 1999;88(1):224-33. doi:10.2466/pms.1999.88.1.224 · PubMed 10214647
  14. Winwood PW, et al. Tapering practices of strongman athletes. J Strength Cond Res. 2018;32(5):1181-1196. doi:10.1519/JSC.0000000000002453 · PubMed 29373426
  15. Winwood PW, et al. The competition-day preparation strategies of strongman athletes. J Strength Cond Res. 2019;33(9):2308-2320. doi:10.1519/JSC.0000000000003267 · PubMed 31343547
  16. Hindle BR, et al. The biomechanics and applications of strongman exercises: a systematic review. Sports Med Open. 2019;5(1):49. doi:10.1186/s40798-019-0222-z · PubMed 31820223
  17. Hindle B, et al. The biomechanical characteristics of the strongman atlas stone lift. PeerJ. 2021;9:e12066. doi:10.7717/peerj.12066 · PubMed 34557349
  18. Hindle BR, et al. The biomechanical characteristics of the strongman yoke walk. Front Sports Act Living. 2021;3:670297. doi:10.3389/fspor.2021.670297 · PubMed 33981993
  19. Renals L, et al. Strongman log push press: the effect log diameter has on force-time characteristics. J Strength Cond Res. 2018;32(10):2693-2700. doi:10.1519/JSC.0000000000002764 · PubMed 30052599
  20. Studnicki R, et al. The effects of an acute strongman competition on electromyographic responses of the shoulder girdle complex. Life (Basel). 2026;16(3). doi:10.3390/life16030477 · PubMed 41900995
  21. Balshaw TG, et al. Muscle and tendon morphology of a world strongman and deadlift champion. J Appl Physiol. 2024;137(4):789-799. doi:10.1152/japplphysiol.00342.2024 · PubMed 39143902
  22. Hindle BR, et al. A systematic review of the biomechanical research methods used in strongman studies. Sports Biomech. 2020;19(1):90-119. doi:10.1080/14763141.2019.1598480 · PubMed 31132028
  23. Harris NK, et al. Acute physiological responses to strongman training compared to traditional strength training. J Strength Cond Res. 2016;30(5):1397-408. doi:10.1519/JSC.0000000000001217 · PubMed 26439778
  24. Keogh JW, et al. A brief description of the biomechanics and physiology of a strongman event: the tire flip. J Strength Cond Res. 2010;24(5):1223-8. doi:10.1519/JSC.0b013e3181cc61cd · PubMed 20386131
  25. Winwood PW, Keogh JW, Harris NK. The strength and conditioning practices of strongman competitors. J Strength Cond Res. 2011;25(11):3118-28. doi:10.1519/JSC.0b013e318212daea · PubMed 21993033
  26. Winwood PW, et al. Tapering and peaking in the weight lifting sports: a systematic review of athletes' self-reported strategies. Sports Med. 2026. doi:10.1007/s40279-026-02500-w · PubMed 42611173
  27. Cusimano K, Freeman P, Moran J. Identifying the psyching-up strategies used in strength sports: a concept mapping approach. J Strength Cond Res. 2025;39(5):553-561. doi:10.1519/JSC.0000000000005057 · PubMed 40030080
  28. Cusimano K, et al. The effects of psyching-up on deadlift performance in competitive strongmen, strongwomen, and powerlifters. J Strength Cond Res. 2026;40(5):576-584. doi:10.1519/JSC.0000000000005361 · PubMed 41628393
  29. Androulakis-Korakakis P, et al. Effects of exercise modality during additional high-intensity interval training on aerobic fitness and strength in powerlifting and strongman athletes. J Strength Cond Res. 2018;32(2):450-457. doi:10.1519/JSC.0000000000001809 · PubMed 28431408
  30. Winwood PW, et al. Strongman vs. traditional resistance training effects on muscular function and performance. J Strength Cond Res. 2015;29(2):429-39. doi:10.1519/JSC.0000000000000629 · PubMed 25627449
  31. Winwood PW, Keogh JW, Harris NK. Interrelationships between strength, anthropometrics, and strongman performance in novice strongman athletes. J Strength Cond Res. 2012;26(2):513-22. doi:10.1519/JSC.0b013e318220db1a · PubMed 22233785
  32. Renner A, van den Hoek D, Csapo R. Long-term performance trajectories in classic powerlifting: an exploratory analysis of 6,524 lifters with sustained competitive engagement. BMC Sports Sci Med Rehabil. 2026;18(1). doi:10.1186/s13102-026-01775-w · PubMed 42210287
  33. van den Hoek DJ, et al. The evolution of normative strength values in powerlifting from 2000 to 2024: a retrospective, cross-sectional analysis. J Strength Cond Res. 2026;40(2):e147-e154. doi:10.1519/JSC.0000000000005294 · PubMed 41259664
  34. Latella C, et al. Rethinking the minimum standards for medaling in national, regional, and international para powerlifting competitions. Int J Sports Physiol Perform. 2026:1-7. doi:10.1123/ijspp.2026-0062 · PubMed 42632638
  35. Fahey TD. Body-mass normalization of powerlifting performance: development and independent validation of sex- and age-specific regression-residual scores. Eur J Appl Physiol. 2026. doi:10.1007/s00421-026-06427-y · PubMed 42742700

OpenStrongman is not affiliated with NASA. The Human Research Roadmap is used here as a structural model only.