Related Experiment Video

Updated: Jun 20, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

[Key parameters and formulas for approximate average height and weight of normal Chinese children under 7 years of

Xiao-Yang Sheng1, Ji-De Xu, Xiao-Ming Shen

  • 1Department of Child and Juvenile Health Care, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. shengxiaoyangcn@yaohoo.com.cn

Zhongguo Dang Dai Er Ke Za Zhi = Chinese Journal of Contemporary Pediatrics
|August 22, 2009
PubMed

Insights

This study analyzed physical growth data for Chinese children aged 0-7 years, establishing normal weight and height parameters and growth formulas for pediatricians and parents. The findings provide essential benchmarks for monitoring child development in China.

Area of Science:

  • Pediatric Growth Standards
  • Child Development Research
  • Anthropometric Data Analysis

Context:

  • Understanding normal physical growth is crucial for pediatric health assessment.
  • Previous growth charts may not accurately reflect current Chinese pediatric populations.
  • Data from 2005 in nine Chinese cities provide a recent baseline.

Purpose:

  • To establish normative physical growth data for Chinese children aged 0-7 years.
  • To analyze height and weight trends across different age groups.
  • To develop predictive formulas for average weight and height.

Summary:

  • Analyzed height and weight data from 2005 for 0-7 year old Chinese children from urban and rural areas.
  • Established age-specific growth curves and key parameters for infants and young children.
  • Developed formulas for estimating average weight (age*2+8 kg) and height (age*7+75 cm) for children aged 2-7 years.

Impact:

  • Provides essential reference data for pediatricians and healthcare providers in China.
  • Facilitates early identification of growth abnormalities.
  • Contributes to public health strategies for child well-being.
Abstract

More Related Videos

Physical Activity Measurement in Children Accepting Table Tennis Training06:51

Physical Activity Measurement in Children Accepting Table Tennis Training

Published on: July 27, 2022

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

Related Concept Videos

Applications of Normal Distribution01:22

Applications of Normal Distribution

The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
What are Estimates?01:06

What are Estimates?

It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

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...
Normal Distribution01:11

Normal Distribution

The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is extremely...
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of zero.
Central Limit Theorem01:14

Central Limit Theorem

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...