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

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...

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Autores principales: Wirnitzer, Katharina, Boldt, Patrick, Wirnitzer, Gerold, Leitzmann, Claus, Tanous, Derrick, Motevalli, Mohamad, Rosemann, Thomas, Knechtle, Beat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206639/
https://www.ncbi.nlm.nih.gov/pubmed/35717392
http://dx.doi.org/10.1038/s41598-022-13844-4
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author Wirnitzer, Katharina
Boldt, Patrick
Wirnitzer, Gerold
Leitzmann, Claus
Tanous, Derrick
Motevalli, Mohamad
Rosemann, Thomas
Knechtle, Beat
author_facet Wirnitzer, Katharina
Boldt, Patrick
Wirnitzer, Gerold
Leitzmann, Claus
Tanous, Derrick
Motevalli, Mohamad
Rosemann, Thomas
Knechtle, Beat
author_sort Wirnitzer, Katharina
collection PubMed
description 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.
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spelling pubmed-92066392022-06-20 Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2 Wirnitzer, Katharina Boldt, Patrick Wirnitzer, Gerold Leitzmann, Claus Tanous, Derrick Motevalli, Mohamad Rosemann, Thomas Knechtle, Beat Sci Rep Article 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. Nature Publishing Group UK 2022-06-18 /pmc/articles/PMC9206639/ /pubmed/35717392 http://dx.doi.org/10.1038/s41598-022-13844-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wirnitzer, Katharina
Boldt, Patrick
Wirnitzer, Gerold
Leitzmann, Claus
Tanous, Derrick
Motevalli, Mohamad
Rosemann, Thomas
Knechtle, Beat
Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2
title Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2
title_full Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2
title_fullStr Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2
title_full_unstemmed Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2
title_short Health status of recreational runners over 10-km up to ultra-marathon distance based on data of the NURMI Study Step 2
title_sort health status of recreational runners over 10-km up to ultra-marathon distance based on data of the nurmi study step 2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206639/
https://www.ncbi.nlm.nih.gov/pubmed/35717392
http://dx.doi.org/10.1038/s41598-022-13844-4
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