| Title |
Determinant factors of physical fitness in European children
|
|---|---|
| Published in |
International Journal of Public Health, April 2016
|
| DOI | 10.1007/s00038-016-0811-2 |
| Pubmed ID | |
| Authors |
Mahmoud Zaqout, Krishna Vyncke, Luis A. Moreno, Pilar De Miguel-Etayo, Fabio Lauria, Denes Molnar, Lauren Lissner, Monica Hunsberger, Toomas Veidebaum, Michael Tornaritis, Lucia A. Reisch, Karin Bammann, Ole Sprengeler, Wolfgang Ahrens, Nathalie Michels |
| Abstract |
This study was designed to explore the determinants of physical fitness in European children aged 6-11 years, cross-sectionally and longitudinally. There were sufficient data on 4903 children (50.6 % girls) on measured physical fitness (cardio-respiratory, muscular strength, flexibility, balance, and speed) and possible determinants related to child characteristics, child lifestyle and parental factors. Multivariate and mixed linear regression models were conducted. Age, sex, children's BMI and physical activity were independent and strong determinants of children's fitness. Significant but small effects were found for low maternal BMI, high psychosocial well-being and fruit and vegetable intake as protective determinants. Sleep duration, breakfast intake, parental age and education and paternal BMI did not have a consistently significant effect on physical fitness. The role of determinants depended on children's sex and the specific PF component. Longitudinal analyses especially highlighted the importance of child's BMI as physical fitness determinant, independent of physical activity. BMI together with physical activity, diet and psychosocial factors are modifiable targets to enhance physical fitness. This calls for policy approaches that combine these factors in a systematic way. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 223 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 13% |
| Student > Bachelor | 26 | 12% |
| Researcher | 25 | 11% |
| Student > Ph. D. Student | 16 | 7% |
| Student > Doctoral Student | 13 | 6% |
| Other | 37 | 17% |
| Unknown | 78 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 45 | 20% |
| Medicine and Dentistry | 23 | 10% |
| Nursing and Health Professions | 23 | 10% |
| Psychology | 8 | 4% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 26 | 12% |
| Unknown | 92 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2016.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from International Journal of Public Health
#1,538
of 1,900 outputs
Outputs of similar age
#219,573
of 314,628 outputs
Outputs of similar age from International Journal of Public Health
#30
of 33 outputs
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