Related Experiment Video
Updated: Jan 21, 2026
06:35
Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
17.3K
Assessment of nutritional status using anthropometric variables by multivariate analysis
Ankita Bhattacharya1, Baidyanath Pal2, Shankarashis Mukherjee3
1Senior Research Fellow, Biological Anthropology Unit, Indian Statistical Institute, 203, B.T. Road, Kolkata, 700108, India.
BMC Public Health
|August 7, 2019
Summary
A new Composite Score derived from anthropometric measurements accurately identifies undernutrition. This non-invasive method offers a more reliable assessment of nutritional status compared to traditional body mass index and mid-upper arm circumference classifications.
Area of Science:
- Nutritional Science
- Anthropometry
- Public Health
Background:
- Undernutrition is a significant health issue, particularly in developing nations.
- Current methods for assessing undernutrition lack definitive confirmatory tests.
- Anthropometric measurements are crucial indicators of nutritional status.
Purpose of the Study:
- To develop and validate a novel Composite Score for assessing undernutrition using anthropometric data.
- To compare the efficacy of the Composite Score against established methods like Body Mass Index (BMI) and Mid-Upper Arm Circumference (MUAC).
- To determine the significance and accuracy of the new Composite Score in identifying nutritional status.
Main Methods:
- Collected anthropometric data from 780 adult laborers in West Bengal, India.
- Utilized confirmatory factor analysis to derive a single Composite Score (C) from 12 anthropometric variables.
- Employed discriminant function analysis to compare the classification accuracy of Composite Score, BMI, and MUAC.
Main Results:
- The Composite Score classified 51.8% of individuals as undernourished, compared to 45.9% by BMI and 56.7% by MUAC.
- The Composite Score demonstrated superior correct classification accuracy at 98.7%, surpassing BMI (95.9%) and MUAC (96.2%).
Conclusions:
- The Composite Score, calculated from anthropometric measurements, provides a more accurate identification of nutritional status.
- This non-invasive method offers a reliable and effective approach to assessing undernutrition in populations.
- The Composite Score enhances the ability to correctly classify individuals' nutritional status.
Related Concept Videos
01:11Variability: Analysis
450
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
450
02:11The Roles of Bacteria and Fungi in Plant Nutrition
47.1K
Plants have the impressive ability to create their own food through photosynthesis. However, plants often require assistance from organisms in the soil to acquire the nutrients they need to function correctly. Both bacteria and fungi have evolved symbiotic relationships with plants that help the species to thrive in a wide variety of environments.
47.1K
01:27Parentral Nutrition: Centeral and Peripheral Parental Nutrition
800
Parenteral Nutrition (PN) delivers essential nutrients directly into the bloodstream, bypassing the digestive system. It is commonly used for individuals with severe digestive disorders or conditions that prevent normal nutrient absorption.
PN can be administered through two primary routes:
1. Central Parenteral Nutrition (CPN):
CPN involves delivering a high concentration of nutrients through a large vein. This is typically achieved using a Peripherally Inserted Central Catheter (PICC) or,...
PN can be administered through two primary routes:
1. Central Parenteral Nutrition (CPN):
CPN involves delivering a high concentration of nutrients through a large vein. This is typically achieved using a Peripherally Inserted Central Catheter (PICC) or,...
800
01:28Microbial Nutrition
1.1K
Organisms exhibit remarkable metabolic diversity, categorized based on how they acquire energy and carbon. These strategies enable survival in various ecological niches and are essential for maintaining energy flow and nutrient cycling within ecosystems.Energy and Carbon SourcesOrganisms are classified as phototrophs or chemotrophs based on energy acquisition. Phototrophs use light as their energy source, while chemotrophs rely on oxidizing chemical compounds. Further differentiation arises...
1.1K
01:26Variables Affecting Phosphorescence and Fluorescence
1.3K
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
1.3K
01:09Random Variables
17.5K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.5K