Related Experiment Video

Updated: Jan 24, 2026

Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

9.8K

[Effect of changing reference growth charts on the prevalence of short stature]

Pilar Aizpurua Galdeano1, Maider Mateo Abad2, Ángeles Alonso Alonso1

  • 1Centro de Salud Ondarreta, San Sebastián, Guipúzcoa, España.

Anales De Pediatria
|May 21, 2019
PubMed

Insights

Changing growth charts significantly increased short stature diagnoses by sixfold. This highlights the impact of updated diagnostic tools on identifying children needing further evaluation for growth concerns.

Area of Science:

  • Pediatrics
  • Growth and Development
  • Public Health

Background:

  • Short stature is a common pediatric concern, necessitating accurate diagnostic tools like growth charts.
  • Evaluating the impact of updated reference charts is crucial for consistent diagnosis in pediatric care.

Purpose of the Study:

  • To assess how the transition from 2004 to 2011 reference growth charts affected the diagnosis of short stature in a specific health region.
  • To quantify the change in short stature prevalence following the adoption of new growth charts.

Main Methods:

  • A population-based, cross-sectional study compared height data from 12,256 children (aged 4, 6, 10, 13) against 2004 and 2011 growth charts.
  • Prevalence of short stature and the 3rd percentile were calculated for both chart versions.

Main Results:

  • The prevalence of short stature increased across all age groups with the 2011 charts compared to the 2004 charts.
  • Diagnoses rose from 58 (2004 charts) to 352 (2011 charts), a sixfold increase.
  • Prevalence differences ranged from 1.4% to 3.6% across the studied ages.

Conclusions:

  • The updated 2011 growth charts led to a substantial sixfold increase in short stature diagnoses.
  • This shift necessitates evaluating the clinical significance and suitability of the new charts for identifying potential growth disorders.
Abstract

Keywords:
AdolescentAdolescenteAnthropometryAntropometríaBody heightChildChild developmentDesarrollo infantilEstaturaGrowth chartsGrowth disordersGráficos de crecimientoNiñoPreescolarPreschoolTrastornos del crecimiento

More Related Videos

In Situ Visualization of Axon Growth and Growth Cone Dynamics in Acute Ex Vivo Embryonic Brain Slice Cultures10:45

In Situ Visualization of Axon Growth and Growth Cone Dynamics in Acute Ex Vivo Embryonic Brain Slice Cultures

Published on: October 14, 2021

4.1K
Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.5K

Related Concept Videos

Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.7K
Run Charts01:12

Run Charts

Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
280
The R Chart01:02

The R Chart

In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
385
Interpreting R Charts01:22

Interpreting R Charts

R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
346
Pareto Chart00:52

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.6K
Interpreting Run Charts01:25

Interpreting Run Charts

Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.1K