Related Experiment Video
Updated: Dec 23, 2025
07:24
A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
Published on: April 21, 2017
12.9K
Presenting Health Status in Children Using a Radar Plot.
Asgeir Mamen1, Lars Erik Braaum1, Per Morten Fredriksen1
1School of Health Sciences, Kristiania University College, Prinsensgate 7-9, 0152 Oslo, Norway.
Sports (Basel, Switzerland)
|April 29, 2020
Summary
Radar plots effectively visualize children's health status, revealing good overall health in a cohort of 1340 children aged 6-12, with boys exhibiting better endurance and physical activity levels than girls.
Area of Science:
- Pediatric Health
- Biostatistics
- Public Health Visualization
Background:
- Assessing child health status is crucial for early intervention.
- Traditional methods may not offer a holistic view of pediatric health metrics.
Purpose of the Study:
- To evaluate the feasibility of using radar plots for presenting child health status.
- To visualize health indicators in children aged 6 to 12 years.
Main Methods:
- Utilized data from 1340 children (aged 6-12) from the Health Oriented Pedagogical Project (HOPP).
- Collected anthropometric (stature, body mass, waist circumference, waist-to-height ratio), biochemical (HDL, total cholesterol), physiological (blood pressure, physical activity, endurance), and quality of life data.
- Presented health variables using radar plots for individual and group analyses.
Main Results:
- Boys demonstrated superior endurance and higher moderate-to-vigorous physical activity compared to girls.
- Physical activity levels declined with age in both sexes from 6 to 12 years.
- Girls exhibited lower systolic blood pressure than boys, while self-rated quality of life was high across both genders.
Conclusions:
- The studied cohort presented with good overall health.
- Radar plots proved to be an effective tool for visualizing the health status of children, both individually and in groups.
Related Concept Videos
01:15Receiver Operating Characteristic Plot
431
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
431
01:25Interpreting Run Charts
3.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.0K
01:14Relative Frequency Histogram
6.2K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
6.2K
01:15Scatter Plot
10.6K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
10.6K