Related Experiment Videos

Percentiles and mean values for neck circumference in Turkish children aged 6-18 years

Mumtaz M Mazicioglu1, Selim Kurtoglu, Ahmet Ozturk

  • 1Department of Family Medicine, Erciyes University Faculty of Medicine, Kayseri, Turkey. mazici@erciyes.edu.tr

Insights

This study provides neck circumference (NC) percentiles for Turkish children, revealing its significance in obesity evaluation. Neck circumference is a valuable clinical and epidemiological tool for assessing body fat distribution and identifying obesity in pediatric populations.

Area of Science:

  • Pediatric endocrinology
  • Anthropometry
  • Public health

Background:

  • Accurate anthropometric data is crucial for monitoring child growth and health.
  • Neck circumference (NC) is an emerging indicator of body fat distribution and metabolic health.
  • Establishing normative data for NC in diverse populations is essential for clinical application.

Purpose of the Study:

  • To establish normative neck circumference (NC) percentiles and mean values for Turkish children.
  • To evaluate the clinical and epidemiological utility of NC in assessing obesity.
  • To provide reference data for pediatricians and researchers.

Main Methods:

  • Cross-sectional screening study involving 5481 Turkish children and adolescents (DAMTCA II).
  • Utilized the LMS method to construct smoothed NC percentile curves by age and gender.
  • Compared NC with other body fat distribution parameters and analyzed its association with obesity status.

Main Results:

  • Smoothed NC percentile curves (3rd-97th) were generated for Turkish children and adolescents.
  • NC was significantly higher in boys than girls after age 12.
  • NC proved to be an important parameter for defining obesity in children across different age groups (6-18 years).

Conclusions:

  • The study successfully provides comprehensive NC percentile and mean values for Turkish children.
  • NC is a valuable and significant parameter for obesity evaluation in clinical practice and epidemiological studies.
  • These findings contribute to the better understanding and management of childhood obesity in Turkey.
Abstract

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...
8.7K
Percentile01:18

Percentile

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.
8.2K
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...
26.2K
Percentage Frequency Distribution00:57

Percentage Frequency Distribution

A percentage frequency distribution, in general, is a display of data that indicates the percentage of observations for each data point or grouping of data points. It is a commonly used method for expressing the relative frequency of survey responses and other data. The percentage frequency distributions are often displayed as bar graphs, pie charts, or tables.
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
62.1K
Quartile01:15

Quartile

Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
8.3K
Trimmed Mean01:10

Trimmed Mean

While measuring the mean of a data set, care needs to be taken when associating the mean to its central tendency. The same goes for the arithmetic mean, the geometric mean, or the harmonic mean. This is because the presence of a single outlier data value can significantly affect the mean. That is, the mean is sensitive to fluctuations in the data set.
Although certain measures of central tendency are not sensitive to outliers, there are alternative versions of the mean that get around the...
3.2K