Dataset Information

Monitoring fitness levels and detecting implications for health in a French population: an observational study.

ABSTRACT:

Objective

To analyse the physical fitness of a large sample of the French population across different ages.

Design

Observational cross-sectional study.

Setting

Data were collected from the Athletic Track and Field Federation, which organised events dedicated to measuring physical fitness. The events took place in 22 regions between 2006 and 2010.

Participants

French volunteer citizens (N=31 349) aged between 4 and 80 years old who participated in events dedicated to measuring physical fitness.

Primary and secondary outcome measures

We assessed the results of the following fitness tests: 20 m shuttle run, standing broad jump, repeated squat jump, 4×10 m shuttle run, speed, flexibility and push-ups in relation to age and body mass index (BMI) using Spearman's rho, a one-way analysis of variance. A bi-exponential model was used to represent the performance with age.

Results

Our major results showed higher performances for men and for subjects with normal BMI at all age groups except for the flexibility test. BMI was strongly correlated across all ages with physical fitness p<0.0001. Furthermore, through bi-exponential model, a mean peak performance was identified at 26.32 years of age for men and 22.18 years of age for women.

Conclusions

Physical fitness assessment using a simple series of tests on the general population offers an important indicator of health status. The possibility of observing the evolution of fitness levels with time provides an important monitoring method from a public health perspective. Further research is needed to reinforce and evaluate the approach.

SUBMITTER: Nassif H

PROVIDER: S-EPMC3488744 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Monitoring fitness levels and detecting implications for health in a French population: an observational study.

Nassif Hala H Sedeaud Adrien A Abidh Elisa E Schipman Julien J Tafflet Muriel M Deschamps Thibault T Maillet Hervé H Ovigneur Hervé H Desgorces François-Denis FD Toussaint Jean-François JF

BMJ open 20120929 5

<h4>Objective</h4>To analyse the physical fitness of a large sample of the French population across different ages.<h4>Design</h4>Observational cross-sectional study.<h4>Setting</h4>Data were collected from the Athletic Track and Field Federation, which organised events dedicated to measuring physical fitness. The events took place in 22 regions between 2006 and 2010.<h4>Participants</h4>French volunteer citizens (N=31 349) aged between 4 and 80 years old who participated in events dedicated to ...[more]

PMID: 23024257

Similar Datasets

Project description:BackgroundCommon data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses.ObjectiveThis study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM.MethodsThe OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract-transform-load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database.ResultsSeventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's "standardized clinical data" section, and three tables from the "standardized health system data" section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19-364).ConclusionOur results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.

Dataset Information

Monitoring fitness levels and detecting implications for health in a French population: an observational study.

Objective

Design

Setting

Participants

Primary and secondary outcome measures

Results

Conclusions

Publications

Monitoring fitness levels and detecting implications for health in a French population: an observational study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets