Search

Your search keyword '"Ovigneur, Hervé"' showing total 20 results
Start Over Author "Ovigneur, Hervé"
20 results on '"Ovigneur, Hervé"'

3. Temporal trends in muscular fitness among French children and adolescents between 1999 and 2023.

Author

Vanhelst, Jérémy, Lang, Justin J, Matelot, David, Béghin, Laurent, Carré, François, Mercier, Daniel, Baquet, Georges, Berthoin, Serge, Ovigneur, Hervé, Deschamps, Thibault, Oppert, Jean-Michel, and Tomkinson, Grant R

Abstract

The aim was to estimate national temporal trends in muscular fitness for French youth between 1999 and 2023. Data were obtained from five cross-sectional studies on 53,314 children and adolescents (age range: 6–16 years). Lower- and upper-body strength were assessed by standing broad jump (SBJ) and handgrip strength (HGS). BMI z-scores (BMIz) were calculated using WHO growth curves. We found a statistically significant negligible decline in SBJ performance (standardised effect size (ES) trend per decade [95%CI]: −0.08 [−0.10, −0.07] or −2.1 cm [95%CI: −2.4, −1.8]) and a statistically significant negligible improvement in HGS (ES trend per decade [95%CI]: 0.11 [0.08, 0.13]) or 0.6 kg [(95%CI: 0.4, 0.8]). We found evidence of significant increases in distributional variability and asymmetry, with poorer trends in the low performers (<25th percentile) and better trends in the high performers (>75th percentile) compared to the average performers. Our data suggest negligible trends in mean SBJ and HGS, coupled with increased distributional variability and asymmetry. Trends were not uniform across the population distribution with data suggesting an increase over time in the gap between low and high performers. These results reinforce the importance of interventions and programmes aiming at improving muscular fitness specifically in children and adolescents with low muscular strength. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

6. Le Diagnoform Handi: un outil d'évaluation de la condition physique pour les personnes en situation de handicap mêlant recherche et terrain

Author

Barbry, Alexis, Fredonnet, Enguerran, Delrue, Jean, Brand, Arnaud, Coquart, Jeremy, Richard, Sandrine, Pierret, Jonathan, Davinroy, Alexandre, Himbert, Alexine, Ballestra, Constantino, Katuszynski, Ac, Ovigneur, Hervé, Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 (URePSSS), Université d'Artois (UA)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille, Université Paris 13 (UP13), Université de Lorraine (UL), Institut des Rencontres de la Forme [Wattignies] (IRFO), and Comité Régional Olympique et Sportif Hauts-de-France, la Communauté Urbaine d'Arras , Office des Sports d'Arras

Subjects
[SDV]Life Sciences [q-bio]
Abstract

National audience

Published
2022

8. Is physical fitness associated with the type of attended school? A cross-sectional analysis among 20.000 adolescents

Author

Duclos, Martine, Lacomme, Philippe, Lambert, Celine, Pereira, Bruno, Ren, Libo, Fleury, Gerard, OVIGNEUR, Hervé, Deschamps, Thibault, Fearnbach, Nicole, Vanhelst, Jeremy, Toussaint, Jean-François, Thivel, David, CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand, Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Unité de Biostatistiques [CHU Clermont-Ferrand], Direction de la recherche clinique et de l’innovation [CHU Clermont-Ferrand] (DRCI), CHU Clermont-Ferrand-CHU Clermont-Ferrand, Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS), Institut des Rencontres de la Forme [Wattignies] (IRFO), Southern University and A&M College [Baton Rouge, Louisiana], Institute for Translational Research in Inflammation - U 1286 (INFINITE (Ex-Liric)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre d'Investigation en Médecine du sport (CIMS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu, Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-UFR Sciences et Techniques des Activités Physiques et Sportives - Clermont-Auvergne (UFR STAPS - UCA), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS), Université de Lille, LillOA, Université de Lille, Inserm, CHU Lille, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS], Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS], Institute for Translational Research in Inflammation - U 1286 [INFINITE (Ex-Liric)], Centre d'Investigation en Médecine du sport [CIMS], Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques [AME2P], and SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)

Subjects
[SDV] Life Sciences [q-bio], Cardiorespiratory fitness, Muscular fitness, Adolescents, Health, Academic achievement, Type of schools, [SDV]Life Sciences [q-bio], education
Abstract

While academic achievement has been associated with physical activity, the present work questions the potential association between the physical fitness level of adolescents and the type of school they attend, ranging from academic to technical schools. 20,228 young French students from 76 schools (9,196 females), mean age 15.8±1.8 years, performed the Diagnoform© test. This dataset includes two higher education institutions (n=870), 37 general high schools (n=13,125), 18 professional-oriented high schools (n=3,569), 5 agricultural high schools (n=132), 2 vocational training centers (n=202) and 12 rural vocational training centers (n=1,137). In higher education institutions and general high schools, girls showed better performances for all physical tests. A decreasing Quotient of overall Physical fitness Condition (QPC) was observed for both genders from urban higher education schools to rural and technical institutions (p

Published
2022
Full Text
View/download PDF

9. Is physical fitness associated with the type of attended school? A cross-sectional analysis among adolescents

Author

DUCLOS, Martine, primary, LACOMME, Philippe, additional, LAMBERT, Celine, additional, PEREIRA, Bruno, additional, REN, Libo, additional, FLEURY, Gerard, additional, OVIGNEUR, Hervé, additional, DESCHAMPS, Thibault, additional, FEARNBACH, Nicole, additional, VANHELST, Jérémy, additional, TOUSSAINT, Jean-François, additional, and THIVEL, David, additional

Published
2022
Full Text
View/download PDF

12. Effet de la pratique sportive en club sur la condition physique et la corpulence auprès de 15 000 enfants français

Author

Barbry, Alexis, Carton, Annie, Ovigneur, Hervé, Coquart, Jeremy, Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 (URePSSS), Université d'Artois (UA)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille, and CETAPS

Subjects
[SDV]Life Sciences [q-bio]
Abstract

National audience; Background: Physical fitness (PF) is a powerful determinant of health. The aim of this study was to examine the relationships between sports club (SC) participation and PF, and body mass index (BMI) in children.Methods: The population included 15,625 children (8,029 boys and 7,596 girls) 5 to 10 years old divided into three aged groups. PF was assessed with the Diagnoform® Kid from 5 tests measuring different components: cardiorespiratory endurance, muscular strength, speed, coordination, agility and flexibility. BMI was calculated. SC participation was documented. The sports were classified into four categories based on the educational goal (C1, C2, C3, C4). The relationships between sex, age, BMI class and SC participation were tested.Results: The children who practiced in SC had better PF than those who did not. C1 (track and field, swimming, triathlon and cycling) and C4 (team, combat and racket sports) sports seemed to be associated with a better PF.Conclusions: This study showed that SC participation may be an element for building health. Preventive healthcare projects for SC dropouts (obese children and girls) are needed.; Cette étude a étudié les relations entre la pratique sportive en club (PSC), le niveau de condition physique (CP) et l’indice de masse corporelle chez plus de 15 000 enfants âgés de 5 à 10 ans. Le Diagnoform® Kid a été utilisé pour évaluer la CP. Notre étude s’est s’intéressée à l’influence de 4 groupes de sport spécifique (i.e. C1, C2, C3, C4 ; classés par champ d’apprentissage en EPS) sur la CP. Nos résultats suggèrent que : a) les filles et les enfants obèses ont une PSC et une CP plus faible, b) l’écart de CP entre les normo-pondérés et les jeunes obèses augmentent avec la croissance et c) les enfants pratiquant les sports de C1 (i.e. athlétisme, triathlon...) et de C4 (i.e. sports collectifs/combats...) ont une CP plus élevée que ceux pratiquant d’autres sports.

Published
2021

16. Normative health‐related fitness values for French children: The Diagnoform Programme.

Author

Vanhelst, Jérémy, Ternynck, Camille, Ovigneur, Hervé, and Deschamps, Thibault

Subjects
AGE distribution, ANALYSIS of covariance, BODY weight, CHILDREN'S health, MATHEMATICAL statistics, MOTOR ability, MUSCLE strength, CHILDHOOD obesity, PHYSICAL fitness, REFERENCE values, SEX distribution, STRETCH (Physiology), PARAMETERS (Statistics), CARDIOPULMONARY fitness
Abstract

The primary objective of this study was to establish sex‐ and age‐specific physical fitness percentiles for French children. The secondary aim was to assess sex, weight status, and age differences for physical fitness levels in French children. A sample of 31 484 children (16 023 boys, 15 461 girls) aged 6‐11 years participated in the Diagnoform programme. Cardiorespiratory fitness, muscular endurance, speed, flexibility, and agility were assessed in this national programme. Percentile values were estimated as a function of age stratified by sex using a parametric method providing smooth centile curves and explicit formulae for the centile estimates. Values from the 10th to the 90th percentile are reported. The influence of body weight according to sex on the physical fitness level was also examined using an analysis of covariance adjusted for age. Physical fitness levels were slightly better in boys, except for agility and flexibility, in which girls performed better (Cohen's coefficient, 0.20‐0.45; P <.001). All physical fitness tests were significantly associated with age (P <.0001). In general, overweight and obese children had a significantly poorer physical fitness level compared with their normal‐weight counterparts (P <.05). No difference was found between thin and normal‐weight boys and girls, except for agility (P <.05). Reference values provide normative data for French children, and these data should be useful for identifying special needs for appropriate intervention programmes. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

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

Author

Nassif, Hala, Sedeaud, Adrien, Abidh, Elisa, Schipman, Julien, Tafflet, Muriel, Deschamps, Thibault, Maillet, Hervé, OVIGNEUR, Hervé, Desgorces, François-Denis, Toussaint, Jean-François, Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris Descartes - Paris 5 (UPD5), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), INSEP, documentation, Université Paris Descartes - Paris 5 (UPD5)-Hôpital Européen Georges Pompidou [APHP] (HEGP), and Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
model, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], [SHS.SPORT.PS] Humanities and Social Sciences/Sport/Sport physiology, physical fitness, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], physical activity, [SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, promotion
Abstract

International audience; 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.

Published
2012

19. Does brief mindfulness intervention increase performance? An exploratory study.

Author

Barbry A, Carton A, Bernier M, Ovigneur H, and Coquart JB

Abstract

The effects of mindfulness-based interventions combined with a running programme on physical performance need further investigation. Studies often proposed a long mindfulness intervention with a low-intensity physical activity. This study aims to investigate the effects on physical performance of a brief mindfulness intervention with a running programme. Sixty-five trained runners were randomised in brief mindfulness or control groups. Intermittent maximum speed, heart rate variability and ratings of perceived exertion were performed at baseline, at 4 weeks and 8 weeks. Fat mass and physical fitness were assessed at baseline and 8 weeks after. A time*group interaction was detected for cardiorespiratory fitness tests (i.e. intermittent maximum speed and 3-min shuttle run tests). Cardiorespiratory fitness stagnated for the mindfulness group whereas it decreased significantly over time in the control group (p = 0.01). No time*group interactions were detected for the other outcomes (p < 0.05). Brief mindfulness intervention might potentially mitigate the fatigue-related performance decrements during the preparatory phase. The cardiorespiratory fitness decrease for the control group could be explained by the high training load during this time of the season. The stagnation in the mindfulness group might be illustrated by the development of some psychological skills., Competing Interests: The authors declare that they have no conflict of interest., (Thieme. All rights reserved.)

Published
2025
Full Text
View/download PDF

20. Relationships between sports club participation and physical fitness and Body Mass Index in childhood.

Author

Barbry A, Carton A, Ovigneur H, and Coquart J

Subjects
Aged, Body Mass Index, Child, Child, Preschool, Female, Humans, Male, Muscle Strength, Physical Fitness, Cardiorespiratory Fitness, Pediatric Obesity, Sports
Abstract

Background: Physical fitness (PF) is a powerful determinant of health. The aim of this study was to examine the relationships between sports club (SC) participation and PF, and Body Mass Index (BMI) in children., Methods: The population included 15,625 children (8029 boys and 7596 girls) 5 to 10 years old divided into three aged groups. PF was assessed with the Diagnoform ® Kid (IRFO, Loos, France) from 5 tests measuring different components: cardiorespiratory endurance, muscular strength, speed, coordination, agility, and flexibility. BMI was calculated. SC participation was documented. The sports were classified into four categories based on the educational goal (C1, C2, C3, C4). The relationships between sex, age, BMI class and SC participation were tested., Results: The children who practiced in SC had better PF than those who did not. C1 (track and field, swimming, triathlon, and cycling) and C4 (team, combat, and racket sports) sports seemed to be associated with a better PF., Conclusions: This study showed that SC participation may be an element for building health. Preventive healthcare projects for SC dropouts (obese children and girls) are needed.

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results