Related Experiment Video
Updated: Jun 9, 2025
09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
27.0K
Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study
Dohyun Chun1,2, Seo Jung Kim3, Junghwan Suh4
1College of Business Administration, Kangwon National University, 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do, 24341, Korea.
BMC Pediatrics
|October 31, 2024
Summary
This study provides crucial reference values for body composition in Korean youth, highlighting distinct fat and lean mass changes in boys and girls during puberty. These findings aid in understanding growth and metabolic health in children and adolescents.
Area of Science:
- Pediatric Endocrinology
- Human Physiology
- Biostatistics
Background:
- Pubertal body composition changes influence adult differences and are linked to growth and metabolic issues like obesity.
- Establishing race- and gender-specific reference values for body composition during puberty is vital for clinical and research purposes.
- Understanding these changes is essential for identifying and managing pediatric growth and metabolic disorders.
Purpose of the Study:
- To generate monthly reference centiles for body composition in Korean children and adolescents.
- To provide essential data for assessing growth and identifying potential metabolic health issues in pediatric populations.
- To establish normative data for body fat percentage, BMI, and related indices.
Main Methods:
- Utilized a large dataset of 88,069 measurements from 22,515 Korean children and adolescents (ages 7-16).
- Employed bioelectrical impedance analysis to measure height, weight, body fat mass (BFM), and fat-free mass (FFM).
- Derived body fat percentage (BF%), BMI, fat mass index (FMI), and fat-free mass index (FFMI), with centiles estimated using generalized additive models (lambda-mu-sigma method).
Main Results:
- Significant sex- and age-related differences in body composition were observed, particularly in BFM and FFM.
- Boys showed marked FFM increase and stable BFM during puberty, while girls exhibited steady BFM increase and slower FFM growth.
- BMI increased steadily, but FMI and FFMI patterns differed: boys' FFMI surged, while girls' FMI rose steadily with a later FFMI slowdown.
Conclusions:
- Generated comprehensive age- and sex-specific reference percentiles for body composition indices in Korean youth.
- The study provides valuable biometric data for clinical assessment and research on pediatric body composition.
- These reference values are critical for tracking normal development and identifying deviations in children and adolescents.
Related Concept Videos
01:24Obesity
383
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
383
01:18Percentile
6.5K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
6.5K
01:10Central Tendency: Analysis
138
Measures of central tendency are tools used in biostatistics to identify the average or center of a dataset. They offer a single representative value for understanding and summarizing data distribution.
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
138
02:32Variation: Normal Distribution, Range, and Standard Deviation
22.2K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
22.2K
01:14Central Limit Theorem
14.4K
The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
The sample size, n, that...
The sample size, n, that...
14.4K