Related Experiment Video

Updated: Feb 13, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

3.7K

Evaluating the predictive factors of resting energy expenditure and validating predictive equations for Chinese obese

Lin Zhang1, Ran Chen1, Rong Li1

  • 1Department of Children Health Care, Chilren's hospital affiliated with Nanjing medical university, 72 Guangzhou Road, Nanjing, 210008, China.

World Journal of Pediatrics : WJP
|March 9, 2018
PubMed

Insights

Resting energy expenditure (REE) is lower in obese children and linked to age, BMI, and fat-free mass. New predictive equations show 62% accuracy for estimating REE in obese youth.

Area of Science:

  • Pediatric Endocrinology
  • Human Physiology
  • Nutritional Science

Background:

  • Resting energy expenditure (REE) is crucial for metabolic health in children.
  • Accurate REE prediction is vital, especially for pediatric obesity management.
  • Existing predictive equations may lack precision in diverse populations.

Purpose of the Study:

  • To identify predictive factors for REE in Chinese school-age children.
  • To assess the accuracy of established REE prediction equations.
  • To evaluate predictive accuracy specifically within the obese pediatric population.

Main Methods:

  • Recruited 248 Chinese children (7-13 years) including obese and non-obese groups.
  • Measured REE using indirect calorimetry (IC) and body composition via bioelectrical impedance.
  • Estimated REE using ten published equations and developed a new predictive model.

Main Results:

  • Obese children exhibited lower REE per kilogram (REE/kg) compared to non-obese peers.
  • Age, BMI standard deviation score (BMISDS), and fat-free mass (FFM) significantly predicted REE/kg.
  • A new regression equation demonstrated 62.16% accuracy for predicting REE in obese subjects.

Conclusions:

  • Obese children have reduced REE/kg, influenced by age, BMISDS, and FFM.
  • A novel predictive equation shows potential for estimating energy needs in pediatric obesity.
  • Further validation in larger cohorts is recommended for refined energy requirement estimations.
Abstract

Keywords:
Chinese childrenEnergy expenditureNutritionObesity

More Related Videos

Determining Basal Energy Expenditure and the Capacity of Thermogenic Adipocytes to Expend Energy in Obese Mice06:57

Determining Basal Energy Expenditure and the Capacity of Thermogenic Adipocytes to Expend Energy in Obese Mice

Published on: November 11, 2021

6.3K
Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma13:18

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma

Published on: March 3, 2023

1.8K

Related Concept Videos

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.4K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.3K
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.0K