Monitoring fitness levels and detecting implications for health on a large scale of the general population

Hala Nassif; Adrien Sedeaud; Elisa Abidh; Julien Schipman; Muriel Tafflet; Thibault Deschamps; Hervé Maillet; Hervé Ovigneur; François-Denis Desgorces; Jean-François Toussaint

Monitoring fitness levels and detecting implications for health on a large scale of the general population

Hala Nassif ^{1, 2, 3} Adrien Sedeaud ^{1, 2, 3} Elisa Abidh ⁴ Julien Schipman ^{1, 2} Muriel Tafflet ^{1, 2, 5} Thibault Deschamps Hervé Maillet Hervé Ovigneur François-Denis Desgorces ^{1, 2, 3} Jean-François Toussaint ^{1, 2, 3}

1 INSEP - Institut national du sport, de l'expertise et de la performance

2 IRMES - EA 7329 - Institut de recherche biomédicale et d’épidémiologie du sport

3 UPD5 - Université Paris Descartes - Paris 5

4 INSA Lyon - Institut National des Sciences Appliquées de Lyon

5 PARCC - UMR-S U970 - Paris-Centre de Recherche Cardiovasculaire

Abstract : Objective: To analyze the physical fitness level of 31 133 French citizens aged between 8 and 60 years old and represent the performances through a bi-exponential model. Methods: We collected data from 231 events that took place in French regions between 2006 and 2010 and analyzed participation and physical fitness using a simple series of tests. We assessed outcome measures in relation to age and BMI using Spearman Rho, a one way ANOVA and a bi-exponential model. Results: Our major results showed higher performances for men and for subjects with normal BMI at all age groups except for the flexibility test. Body mass index is strongly correlated across all ages with physical fitness p < 0.0001. Those results are in accordance with the literature. Furthermore, through a biexponential model, a mean peak performance was identified at 26.32 years old for men and 22.18 years old for women. Conclusion: Physical fitness assessment using simple tests is applicable on the general population and is correlated to age, BMI and health status. The application of a bi-exponential model offers a global approach to monitor public health.

Keywords : promotion model physical fitness physical activity

Type de document :

Article dans une revue

Domaine :

Sciences du Vivant [q-bio] / Santé publique et épidémiologie

Sciences du Vivant [q-bio] / Médecine humaine et pathologie / Physiologie [q-bio.TO]

Sciences de l'Homme et Société / Sport / Physiologie du sport

Liste complète des métadonnées

Littérature citée [40 références] Voir Masquer Télécharger

https://hal-insep.archives-ouvertes.fr/hal-01828684
Contributeur : Documentation Insep <>
Soumis le : mardi 3 juillet 2018 - 12:39:36
Dernière modification le : jeudi 11 avril 2019 - 16:02:56
Document(s) archivé(s) le : lundi 1 octobre 2018 - 11:09:05

205- Monitoring fitness levels...

Fichiers produits par l'(les) auteur(s)

Monitoring fitness levels and detecting implications for health on a large scale of the general population

Fichier

Identifiants

Collections

Citation

Exporter

Métriques

196

38

Monitoring fitness levels and detecting implications for health on a large scale of the general population

Fichier

Identifiants

Collections

Citation

Exporter

Partager

Métriques

196

38