Related Experiment Video
Updated: Jan 23, 2026

10:28
Body Composition and Metabolic Caging Analysis in High Fat Fed Mice
Published on: May 24, 2018
16.3K
Body Composition Analysis Methods in Adolescent Athletes: A Systematic Review
Sogand Poureghbali1, Tilman Engel1, Areeba Raja1
1Outpatient Clinic, Center of Sports Medicine, Universität Potsdam, Potsdam, Germany.
Sports Medicine International Open
|January 22, 2026
Summary
Accurate body composition analysis for adolescent athletes is challenging due to measurement inaccuracies. Four-compartment models are preferred, but field methods like bioelectrical impedance analysis need more validation.
Area of Science:
- Sports Science
- Human Physiology
- Biomedical Engineering
Background:
- Accurate body composition assessment is vital for adolescent athletes.
- Current measurement techniques face challenges with accuracy and validation.
- A lack of reliable reference methods hinders evaluation of field techniques.
Purpose of the Study:
- To review the reliability and validity of body composition methods in adolescent athletes.
- To provide evidence-based recommendations for best practices in this population.
- To identify gaps in current research and validation methods.
Main Methods:
- Systematic review following PRISMA guidelines.
- Searched PubMed and Scopus databases.
- Included studies on adolescent athletes using bioelectrical impedance analysis, DXA, ADP, and skinfolds.
Main Results:
- Body composition estimation in adolescent athletes shows moderate reliability and validity.
- Dual-energy X-ray absorptiometry (DXA) is a common reference standard but has limitations.
- Air displacement plethysmography (ADP) and hydrostatic weighing have limitations in extreme body types.
- Current predictive equations are often inadequate for athletes.
- Four-compartment models offer greater accuracy than two- or three-compartment models.
Conclusions:
- Four-compartment models are recommended for improved accuracy in adolescent athletes.
- Field methods like bioelectrical impedance analysis and skinfolds require further validation.
- Developing population-specific and athlete-specific equations is crucial.
More Related Videos
Related Concept Videos
Composite Bodies
1.4K
A composite body is a body made up of multiple parts, connected to form a larger, unified object. Each part has its own weight and center of gravity, which must be considered to determine the center of gravity of the composite body. In cases where the density or specific weight is constant, the center of gravity coincides with the centroid.
Composite bodies have widespread applications in mechanical engineering, from automobiles to aircraft to rockets. For example, an automobile wheel comprises...
Composite bodies have widespread applications in mechanical engineering, from automobiles to aircraft to rockets. For example, an automobile wheel comprises...
1.4K
Composition of Body Fluids
2.4K
Water functions as a solvent accommodating various solutes, which can be categorized under electrolytes and non-electrolytes. Non-electrolytes are usually held together by covalent bonds, restricting them from dissociating in solution, thereby leading to a lack of electrically charged components upon dissolving in water. They are predominantly organic molecules, such as glucose, creatinine, and urea. Electrolytes, on the other hand, are compounds that can break down into ions in water.
2.4K
Systematic Sampling Method
12.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
12.7K
Review and Preview
8.3K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview
10.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.9K
Cognitive Development During Adolescence
533
During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
533

