Evidence map›Paper›PMID 35717392›Full record

ArticleScientific reports2022

Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2.

Katharina Wirnitzer, Patrick Boldt, Gerold Wirnitzer, Claus Leitzmann, Derrick Tanous, Mohamad Motevalli, Thomas Rosemann, Beat Knechtle

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06375577 (Evaluating the Speed of Carbohydrate Supplement Absorption in an Athletic Population), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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.

NCT06375577 nacompletednot on this mapstarted 2024, after this paper: background citation

Evaluating the Speed of Carbohydrate Supplement Absorption in an Athletic Population

TypeinterventionalSponsorLancaster UniversityRan2024 to 2024Enrolled16ConditionsHealthy, Nutrition, HealthyArms45 grams Voom Pocket Rocket Electro Energy, 45 grams SIS Go Isotonic Energy Gel, 45 grams Maurten Gel 160
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Katharina WirnitzerDepartment of Research and Development in Teacher Education, University College of Teacher Education Tyrol, Innsbruck, Austria.
Patrick BoldtDepartment of Child and Adolescent Psychiatry and Psychotherapy, LVR-Klinik Viersen, Viersen, Germany.
Gerold WirnitzeradventureV & change2V, Stans, Austria.
Claus LeitzmannInstitute of Nutrition, University of Gießen, Gießen, Germany.
Derrick TanousDepartment of Research and Development in Teacher Education, University College of Teacher Education Tyrol, Innsbruck, Austria.
Mohamad MotevalliDepartment of Research and Development in Teacher Education, University College of Teacher Education Tyrol, Innsbruck, Austria.
Thomas RosemannInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Beat KnechtleInstitute of Primary Care, University of Zurich, Zurich, Switzerland. beat.knechtle@hispeed.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endurance running is well-documented to affect health beneficially. However, data are still conflicting in terms of which race distance is associated with the maximum health effects to be obtained. Therefore, the aim of this study was to compare the health status of endurance runners over different race distances. A total of 245 recreational runners (141 females, 104 males) completed an online survey. Health status was assessed by measuring eight dimensions in two clusters of health-related indicators (e.g., body weight, mental health, chronic diseases and hypersensitivity reactions, medication intake) and health-related behaviors (e.g., smoking habits, supplement intake, food choice, healthcare utilization). Each dimension consisted of analytical parameters derived to a general domain score between 0 and 1. Data analysis was performed by using non-parametric ANOVA and MANOVA. There were 89 half-marathon (HM), 65 marathon/ultra-marathon (M/UM), and 91 10-km runners. 10-km runners were leaner than both the HM and M/UM runners (p ≤ 0.05). HM runners had higher health scores for six dimensions (body weight, mental health, chronic diseases and hypersensitivity reactions, medication intake, smoking habits, and health care utilization), which contributed to an average score of 77.1% (score range 62-88%) for their overall state of health. Whereas 10-km and M/UM runners had lesser but similar average scores in the overall state of health (71.7% and 72%, respectively). Race distance had a significant association with the dimension "chronic diseases and hypersensitivity reactions" (p ≤ 0.05). Despite the null significant associations between race distance and seven (out of eight) multi-item health dimensions, a tendency towards better health status (assessed by domain scores of health) among HM runners was found compared to other distance runners. However, the optimal state of health across all race distances supported the notion that endurance running contributed to overall health and well-being.Trial registration number: ISRCTN73074080. Retrospectively registered 12th June 2015.

Indexed as

Marathon RunningRunningBody WeightChronic DiseaseFemaleHealth StatusHumansMalePhysical Endurance

Identifiers

PMID35717392
PMCPMC9206639

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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.