Representative Percentile Curves of Physical Fitness From Early Childhood to Early Adulthood

The MoMo Study

Dados Bibliográficos

ID22073144
AutoresClaudia Niessner (0000-0003-2094-0836, Karlsruhe Institute of Technology, autor correspondente), Till Utesch (0000-0001-7185-4239, University of Münster), Doris Oriwol (0000-0001-6788-3539, Karlsruhe Institute of Technology), Anke Hanssen‐Doose (0000-0002-6204-5576, Karlsruhe University of Education), Anke Hanssen-Doose, Steffen Schmidt (0000-0003-1852-5676, Karlsruhe Institute of Technology), Steffen C E Schmidt, Alexander Woll (0000-0002-5736-2980, Karlsruhe Institute of Technology), Klaus Bös (Karlsruhe Institute of Technology), Annette Worth (Karlsruhe University of Education)
Ano2020
Volume8
Páginas458-458
Data de publicação2020-09-11
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2020.00458
PMID33014968
OpenAlexW3085049232
IdiomaEN
Citações recebidas8
Referências citadas38

Introduction: The aim of this analysis is to report sex- and age-specific physical fitness percentile curves from childhood to early adulthood in a nationwide sample in Germany. Already in childhood, physical fitness is considered as one of the most important health markers. From a developmental and preventive perspective, physical fitness levels are relatively stable from childhood to early adulthood. Thus, it is important to monitor physical fitness on a population based level being able to intervene at early stages. Methods: Data stem from the nationwide representative Motorik Modul (MoMo) Study in Germany (data collection wave 1: 2009–2012; age: 4-23 y.; n=3,742; 50.1% female). Physical fitness was assessed by means of the MoMo test profile covering four dimensions of physical fitness (strength, endurance, coordination, flexibility). Percentile curves were fitted using the LMS transformation method of Cole and Green. Results: Standardized age- and sex-specific physical fitness percentiles were calculated for eight items covering health-related (endurance, strength endurance, maximal strength, flexibility) and skill-related fitness dimensions (balance, coordination). Percentile-curve-shapes differ between sexes. Physical fitness improvements with age are linear (e.g. max. strength) or curvilinear (e.g. coordination) depending on physical fitness dimension. Discussion: Our results provide for the first time sex- and age-specific physical fitness percentile curves for Germany from childhood to early adulthood. Differences in curve-shapes indicating a timed and capacity-specific physical fitness development. Nationwide German physical fitness percentiles can be useful in comparing populations (e.g. cross-country) and assessing initiatives that aim to improve childhood physical fitness

Percentile · Physical fitness · Physical therapy · Statistics · Children's Physical and Motor Development · Demography · Mathematics · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health · Psychology · Gerontology · Pediatrics