Evidence map›Paper›PMID 33613312›Full record

ArticleFrontiers in physiology2021

Training and Racing Behavior of Recreational Runners by Race Distance-Results From the NURMI Study (Step 1).

Beat Knechtle, Derrick R Tanous, Gerold Wirnitzer, Claus Leitzmann, Thomas Rosemann, Volker Scheer, Katharina Wirnitzer

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07498608 (Effects of Polarized and Threshold Intensity Distribution Models on Race Time and Body Composition in Recreational Runners Aged 20-45 Years), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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.

NCT07498608 naenrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Effects of Polarized and Threshold Intensity Distribution Models on Race Time and Body Composition in Recreational Runners Aged 20-45 Years: a Randomized Controlled Trial

TypeinterventionalSponsorUniversidad Pedagogica Nacional, ColombiaRan2026 to 2026Enrolled20ConditionsPhysical Activity, Physical Activity Intensity, Physical Activity in Adults, RunningArmsPolarized intensity distribution model, Threshold intensity distribution model
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

Beat KnechtleMedbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland.
Derrick R TanousDepartment of Sport Science, University of Innsbruck, Innsbruck, Austria.
Gerold WirnitzerAdventureV & change2V, Stans, Austria.
Claus LeitzmannInstitute of Nutrition, University of Gießen, Gießen, Germany.
Thomas RosemannInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Volker ScheerUltra Sports Science Foundation, Pierre-Bénite, France.
Katharina WirnitzerDepartment of Sport Science, University of Innsbruck, Innsbruck, Austria.
German Institute of Human Nutrition · DEMedbase · CHPedagocial University Tyrol · ATUniversität Innsbruck · ATUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated pre-race preparation of a large sample of recreational runners competing in different race distances (e.g., shorter than half-marathon, half-marathon, marathon and ultra-marathon). An online questionnaire was used and a total of 3,835 participants completed the survey. Of those participants, 2,864 (75%) met the inclusion criteria and 1,628 (57%) women and 1,236 (43%) men remained after data clearance. Participants were categorized according to race distance in half-marathon (HM), and marathon/ultra-marathon (M/UM). Marathon and ultra-marathon data were pooled since the marathon distance is included in an ultra-marathon. The most important findings were (i) marathon and ultra-marathon runners were more likely to seek advice from a professional trainer, and (ii) spring was most commonly reported across all subgroups as the planned season for racing, (iii) training volume increased with increasing race distance, and (iv) male runners invested more time in training compared to female runners. In summary, runners competing in different race distances prepare differently for their planned race.

Indexed as

half-marathonmarathonracerunningtraining

Identifiers

PMID33613312
PMCPMC7890117
OpenAlexW3127350190

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.