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Determining Basal Energy Expenditure and the Capacity of Thermogenic Adipocytes to Expend Energy in Obese Mice
Published on: November 11, 2021
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Functional data analysis of sleeping energy expenditure.
Jong Soo Lee1, Issa F Zakeri2, Nancy F Butte3
1Department of Mathematical Sciences, University of Massachusetts Lowell, Massachusetts, United States of America.
Plos One
|May 11, 2017
Summary
Adequate sleep is vital for children's development. This study used functional data analysis to show differences in sleeping energy expenditure (SEE) patterns between obese and non-obese children, suggesting other factors influence weight-adjusted SEE.
Area of Science:
- Pediatric metabolic health
- Sleep science
- Functional data analysis
Background:
- Adequate sleep is essential for children's metabolic health, physical, and cognitive development.
- Inadequate sleep can disrupt metabolic homeostasis and alter sleeping energy expenditure (SEE).
- Understanding SEE patterns in children is crucial for identifying metabolic health disparities.
Purpose of the Study:
- To apply functional data analysis methods to sleeping energy expenditure (SEE) data.
- To elucidate the population structure of SEE in children.
- To discriminate SEE patterns between obese and non-obese children.
Main Methods:
- Minute-by-minute SEE was measured in 109 children (ages 5-18) using room respiration calorimeters.
- Smoothing spline methods and functional principal component analysis (FPCA) were applied to calorimetric data.
- FPCA scores and classifier algorithms (logistic regression, SVM, random forest) were used to analyze and classify SEE.
Main Results:
- Smoothing effectively removed noise, enabling accurate analysis of SEE dynamics.
- SEE exhibited declining, undulating patterns throughout the night.
- While mean SEE was higher in obese children, weight-adjusted SEE was not significantly different.
- FPCA scores differed between obese and non-obese children (p=0.037), and classification rates for weight-adjusted SEE were 62-64%.
Conclusions:
- Functional data analysis revealed distinct SEE structures between obese and non-obese children.
- Differences in weight-adjusted SEE suggest unidentified factors influencing metabolic homeostasis.
- Further research is needed to uncover these factors affecting children's metabolic health.
