An evaluation of five indexes of relative body weight for use with children

Insights

The weight-for-length index is the most reliable measure for assessing relative body weight in children and youth. Other common indexes failed to account for body composition variations across different ages and heights.

Area of Science:

  • Pediatric Nutrition
  • Anthropometry
  • Growth Monitoring

Background:

  • Accurate assessment of child body weight is crucial for monitoring growth and health.
  • Existing weight-to-height indexes vary in their reliability and applicability across pediatric age groups.
  • Understanding body composition differences (lean mass vs. adipose tissue) is key in pediatric anthropometry.

Purpose of the Study:

  • To evaluate the reliability of five commonly used weight-to-height indexes in children.
  • To determine the most accurate index for measuring relative body weight in pediatric populations.
  • To assess the influence of age and height on the validity of different anthropometric measures.

Main Methods:

  • Compared five weight-to-height indexes using data from two independent samples of children.
  • Assessed the ability of each index to control for variations in lean body mass and adipose tissue.
  • Validated findings with a second sample and tested the reliability of triceps skinfold thickness.

Main Results:

  • Four of the five indexes demonstrated significant limitations in controlling for age and height-related body composition changes.
  • The weight-for-length index proved to be a reliable measure of relative body weight across different pediatric subgroups.
  • Triceps skinfold thickness reliability was also assessed in conjunction with the index comparisons.

Conclusions:

  • The weight-for-length index is recommended as the most reliable anthropometric measure for relative body weight in children and youth.
  • Clinical and research settings can benefit from using the weight-for-length index for accurate pediatric assessments.
  • Careful selection of anthropometric tools is essential for valid growth monitoring and health evaluations in pediatrics.

Related Concept Videos

Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
Rigid Body Equilibrium Problems - II01:21

Rigid Body Equilibrium Problems - II

A rigid body is in static equilibrium when the net force and the net torque acting on the system are equal to zero.
Consider two children sitting on a seesaw, which has negligible mass. The first child has a mass (m1) of 26 kg and sits at point A, which is 1.6 meters (r1) from the pivot point B; the second child has a mass (m2) of 32 kg and sits at point C. How far from the pivot point B should the second child sit (r2) to balance the seesaw?
Review and Preview01:10

Review and Preview

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...
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. Low percentiles always correspond to lower data values. High percentiles always correspond to higher data values.Percentiles divide ordered data into hundredths. To score in the...
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration01:28

Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

Glomerular filtration rate (GFR) can be estimated from serum creatinine using the modification of diet in renal disease (MDRD) formula or the chronic kidney disease–epidemiology collaboration (CKD–EPI) equation. Both methods are widely used in clinical practice to assess kidney function and guide treatment decisions.The MDRD equation does not require weight or height measurements and is normalized to the body surface area of 1.73 m², considered the average adult surface area. This equation is...