The Fitness Barometer
A Best Practice Example for Monitoring Motor Performance With Pooled Data Collected From Practitioners
Bibliographic Data
| ID | 22083051 |
|---|---|
| Authors | Tanja Eberhardt (0009-0001-0992-060X, Karlsruhe Institute of Technology, corresponding author), Klaus Bös (Karlsruhe Institute of Technology), Claudia Niessner (0000-0003-2094-0836, Karlsruhe Institute of Technology) |
| Year | 2021 |
| Volume | 9 |
| Pages | 720589-720589 |
| Publication date | 2021-12-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.720589 |
| PMID | 34957000 |
| OpenAlex | W4200525938 |
| Language | EN |
| Citations received | 2 |
| References cited | 29 |
Introduction: Motor Performance (MP) in children is an important resource for their future active lifestyle and health. Monitoring of MP is crucial to derive information of trends and to implement specific programs on the base of current MP levels. A variety of MP assessment tools exist, making it difficult to determine a “gold-standard” for assessment and to compare the findings. In Germany, the German Motor Test 6–18 (GMT 6–18) and Kinderturntest Plus 3–10 (KITT+ 3–10) are widely used MP assessment tools. The aim of this paper is to show which key questions can be answered within the context of a best practice example of a MP assessment tool and what can be derived from this for a practical application (the Fitness Barometer). Methods: The raw data of the Fitness Barometer was collected with the MP assessment tools GMT 6–18 and KITT+ 3–10 from 2012 through 2020. Data was pooled anonymously with the e-Research infrastructure MO|REdata and categorized into percentiles for MP and BMI. Overall, we included data of 23,864 children for the statistical analyses. T -tests for independent samples, percentage frequency analysis, descriptive statistics (chi- square-test) and single analysis of variance were conducted. Results and Discussion: Children tested reached a mean value of 57.03 ( SD = 18.85). Of the sample, 12.7% children were overweight or obese and there is a significant difference between age groups [ χ ( 4 ) 2 = 178.62, p < 0.001, Cramer V = 0.09; n = 23.656]. The relationship between BMI category and mean value of MP was significant [ F (4,19,523) = 224.81, p < 0.001]. During 2020, the year of the COVID-19 pandemic, mean value of endurance and speed decreased [Welch's F (1,573) = 8.08, p = 0.005; Welch's F (1,610) = 35.92, p < 0.001]. The GMT 6–18 and KITT+ 3–10 are valid, objective, reliable, and economic MP assessment tools for monitoring MP levels and derive added practical value. Specific programs and interventions should focus on the findings of these. The Fitness Barometer is a best practice example how a standardized assessment tool of monitoring MP point to trends on which practical evidence-based suggestions can be derived with many various partners and expertise
Barometer · Descriptive statistics · Geography · Obesity · Overweight · Percentile · Statistics · Children's Physical and Motor Development · Infant Development and Preterm Care · Mathematics · Medicine · Obesity, Physical Activity, Diet · Internal Medicine
Comparison of Physical Fitness Profiles Obtained before and during Covid-19 Pandemic in Two Independent Large Samples of Children and Adolescents
Regional differences of physical fitness and overweight and obesity prevalence among college students before and after Covid-19 pandemic since the “double first-class” initiative in China
Motor competence and health related physical fitness in youth
The relationship between motor skills and cognitive skills in 4–16 year old typically developing children
Motor Competence and its Effect on Positive Developmental Trajectories of Health
Fundamental motor skills
Evidence Based Physical Activity for School-age Youth
Physical activity and screen time of children and adolescents before and during the Covid-19 lockdown in Germany
Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben
A Developmental Perspective on the Role of Motor Skill Competence in Physical Activity
Fundamental Movement Skills in Children and Adolescents
Physical Literacy, Physical Activity and Health
Temporal trends in the cardiorespiratory fitness of children and adolescents representing 19 high-income and upper middle-income countries between 1981 and 2014
Representative Percentile Curves of Physical Fitness From Early Childhood to Early Adulthood
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2024 (3) |
| Highly cited | No |