Evidence map›Paper›PMID 40469387›Full record

ArticleFrontiers in sports and active living2025

Fitness profile and training of Special Operation Forces: a comparison with sports athletes.

Alain Dössegger, Thomas Gsponer, Martin Flück, Christian Protte, Thomas Wyss, Eric Häusler, Markus Gerber, Oliver Faude

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. International journal of molecular sciences · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alain DösseggerSwiss Federal Institute of Sport Magglingen, Magglingen, Switzerland.
Thomas GsponerStadl Partners, Münsingen, Switzerland.
Martin FlückSwiss Federal Institute of Sport Magglingen, Magglingen, Switzerland.
Christian ProtteSwiss Federal Institute of Sport Magglingen, Magglingen, Switzerland.
Thomas WyssSwiss Federal Institute of Sport Magglingen, Magglingen, Switzerland.
Eric HäuslerPercoms AG, St. Gallen, Switzerland.
Markus GerberDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Oliver FaudeDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tactical athletes of Special Operations Forces personnel face diverse, high-risk demands-from explosive power actions and maximal strength tasks to prolonged endurance efforts and rapid decision making under stress. This study aimed to develop a multidimensional fitness profile for these tactical athletes by defining Critical Success Factors and translating them into measurable performance indicators, then comparing Swiss Special Operations Forces operators and candidates with sports athletes. Method: In a cross sectional, observational design, 262 male participants completed a tailored battery of laboratory and field tests: 69 Special Operations Forces operators, 175 Special Operations Forces candidates, and 18 athletes from disciplines such as decathlon, Thai boxing, wrestling, and ice hockey. Practitioner interviews established key mission critical factors, which were operationalized into tests of reaction time, power, strength, severe intensity muscular and cardiopulmonary work capacity, and aerobic endurance. To evaluate group and unit effects, we compared two Bayesian linear regression models: a baseline model (m₀) and a model (m₁) that included group as a fixed factor. Evidence for a group effect was quantified by the Bayes Factor and Probability of direction, where >90% is considered equal to an alpha level of 0.05, thus a non-negligible effect. Results: Weekly training volume averaged 8.5 h for operators, 6.9 h for candidates, and 9.5 h for athletes. SOF operators and candidates demonstrated fitness levels comparable to sports athletes. Mean jumping distance was 2.43 m, relative hand-grip strength 1.51 kg/kg body mass, deadlift with 100 kg was 20 repetitions, and maximal oxygen uptake measured 54 ml/kg/min. Candidates recorded faster computer based reaction times than operators, while operators outperformed candidates and athletes in a close-quarters combat simulation. Both candidates and operators completed fewer 100 kg deadlift repetitions compared to the mean of the athletes. Discussion: Swiss Special Operations Forces operators and candidates demonstrate fitness profiles on par with sports athletes across multiple domains, validating their designation as tactical athletes. The normative values and test battery offer a tool for identifying individual strengths and weaknesses, guiding targeted training programs, and informing selection and readiness assessments. Future research should explore longitudinal interventions and predictive models of operational performance.

Indexed as

fitness assessmentfitness profilephysical performanceSpecial Operations Forces (SOF)tactical athletestraining

Identifiers

PMID40469387
PMCPMC12133949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.