» Articles » PMID: 27042830

Determinant Factors of Physical Fitness in European Children

Abstract

Objectives: This study was designed to explore the determinants of physical fitness in European children aged 6-11 years, cross-sectionally and longitudinally.

Methods: 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.

Results: 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.

Conclusions: 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.

Citing Articles

Association between breakfast consumption frequency and handgrip strength and standing long jump: a systematic review and meta-analysis.

Ren Z, Zhang X, Wei Y, Liu S, Cao B, Wang H Front Psychol. 2024; 15:1451799.

PMID: 39734776 PMC: 11671810. DOI: 10.3389/fpsyg.2024.1451799.


The Impact of Interactive Video Games Training on the Quality of Life of Children Treated for Leukemia.

Kowaluk A, Malicka I, Kalwak K, Wozniewski M Cancers (Basel). 2024; 16(21).

PMID: 39518038 PMC: 11545673. DOI: 10.3390/cancers16213599.


Possible determinants of physical fitness in Japanese school children: A cross-sectional study.

Yoshikawa A, Asakura K, Mori S, Fujiwara A, Sasaki S, Nishiwaki Y Paediatr Perinat Epidemiol. 2024; 39(1):84-93.

PMID: 39225179 PMC: 11781516. DOI: 10.1111/ppe.13121.


Lifestyle as a Modulator of the Effects on Fitness of an Integrated Neuromuscular Training in Primary Education.

Roman-Vinas B, Vasileva F, Font-Llado R, Aznar-Lain S, Jimenez-Zazo F, Lopez-Bermejo A J Funct Morphol Kinesiol. 2024; 9(3).

PMID: 39051278 PMC: 11270438. DOI: 10.3390/jfmk9030117.


Assessment of nutritional status, physical fitness and physical activity of school going adolescents (12-15 years) in Delhi.

Ferozi S, Taneja A, Bakshi N BMC Pediatr. 2024; 24(1):331.

PMID: 38745151 PMC: 11091987. DOI: 10.1186/s12887-024-04733-y.


References
1.
Stomfai S, Ahrens W, Bammann K, Kovacs E, Marild S, Michels N . Intra- and inter-observer reliability in anthropometric measurements in children. Int J Obes (Lond). 2011; 35 Suppl 1:S45-51. DOI: 10.1038/ijo.2011.34. View

2.
Castro-Pinero J, Ortega F, Artero E, Girela-Rejon M, Mora J, Sjostrom M . Assessing muscular strength in youth: usefulness of standing long jump as a general index of muscular fitness. J Strength Cond Res. 2010; 24(7):1810-7. DOI: 10.1519/JSC.0b013e3181ddb03d. View

3.
Fogelholm M, Stigman S, Huisman T, Metsamuuronen J . Physical fitness in adolescents with normal weight and overweight. Scand J Med Sci Sports. 2007; 18(2):162-70. DOI: 10.1111/j.1600-0838.2007.00685.x. View

4.
Bel-Serrat S, Mouratidou T, Pala V, Huybrechts I, Bornhorst C, Fernandez-Alvira J . Relative validity of the Children's Eating Habits Questionnaire-food frequency section among young European children: the IDEFICS Study. Public Health Nutr. 2013; 17(2):266-76. PMC: 10282422. DOI: 10.1017/S1368980012005368. View

5.
Ahrens W, Bammann K, Siani A, Buchecker K, De Henauw S, Iacoviello L . The IDEFICS cohort: design, characteristics and participation in the baseline survey. Int J Obes (Lond). 2011; 35 Suppl 1:S3-15. DOI: 10.1038/ijo.2011.30. View