Related Experiment Video

Updated: Feb 15, 2026

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing
05:54

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

Published on: January 28, 2021

5.1K

Field Testing of IAP2015 Charts

Nikhil Lohiya1, Vaman Khadilkar2, Shubhadarshini Pawar1

  • 1Department of Pediatric Endocrinology, Bharati Vidyapeeth Medical College and Hospital, Pune, Maharashtra, India.

Indian Journal of Pediatrics
|January 26, 2018
PubMed

Insights

The Indian Academy of Pediatrics 2015 (IAP2015) growth charts accurately represent current children across socioeconomic groups. These IAP2015 charts are recommended for precise child growth assessment, avoiding misclassification of nutritional status.

Area of Science:

  • Pediatric Nutrition
  • Growth Monitoring
  • Anthropometry

Background:

  • Accurate growth charts are essential for monitoring child development and nutritional status.
  • Existing growth references, such as World Health Organization (WHO) and Indian Academy of Pediatrics 2007 (IAP2007) charts, may not reflect the current generation of children accurately.
  • Variations in socioeconomic status can influence anthropometric measurements and growth patterns.

Purpose of the Study:

  • To evaluate the performance of the Indian Academy of Pediatrics 2015 (IAP2015) growth charts across diverse socioeconomic strata.
  • To compare Z-scores for height, weight, and Body Mass Index (BMI) for age derived from IAP2015 charts against those from IAP2007 and WHO charts.
  • To assess the representativeness of IAP2015 charts for contemporary Indian children.

Main Methods:

  • A cross-sectional observational study was conducted in Pune, India.
  • Anthropometric measurements (height, weight) were collected from apparently healthy children aged 5-18 years from urban affluent, urban underprivileged, and rural populations.
  • Standard deviation scores (Z-scores) for height-for-age, weight-for-age, BMI-for-age were calculated using IAP2015, IAP2007, and WHO growth charts.

Main Results:

  • Significant differences in anthropometric parameters were observed across socioeconomic groups, with urban affluent children being tallest and heaviest, and urban underprivileged children being shortest.
  • Children exhibited shorter stature on WHO references and taller stature on IAP2007 references.
  • BMI Z-scores were higher on IAP2007 charts and lower on WHO references. The IAP2015 charts classified the highest proportion of urban affluent children within the reference range.
  • WHO references led to overestimation of stunting and wasting, while IAP2007 charts underestimated these conditions. Both WHO and IAP2007 charts classified fewer children as obese/overweight compared to IAP2015.

Conclusions:

  • The IAP2015 growth charts serve as a better representation of healthy children in the current generation.
  • Utilizing IAP2015 charts can help prevent inappropriate classification of children's growth and nutritional status.
  • These updated charts are recommended for use in clinical practice and public health initiatives for accurate child growth monitoring.
Abstract

Keywords:
Growth chartsIAP2015 chartsIndiaReference growth curve

More Related Videos

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing06:55

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

Published on: May 8, 2021

6.3K
Olfactory Behavioral Testing in the Adult Mouse09:00

Olfactory Behavioral Testing in the Adult Mouse

Published on: January 28, 2009

20.3K

Related Concept Videos

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...
310
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...
438
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...
7.9K
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...
372
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...
4.1K
The X̄ Chart00:58

The X̄ Chart

The  x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
485