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Body composition analysis: Cellular level modeling of body component ratios.
Z Wang1, S B Heymsfield, F X Pi-Sunyer
1Obesity Research Center, St. Luke's-Roosevelt Hospital, Columbia University College of Physicians and Surgeons, New York, NY, USA.
This review details body composition models, focusing on stable ratios like total body water/fat-free mass. Understanding the extracellular to intracellular water ratio (E/I) variability is key to predicting body composition changes in adults.
Area of Science:
- Human physiology
- Biomedical engineering
- Body composition analysis
Background:
- Over two decades of research have led to the development of various body composition models.
- These models include cellular-level, component ratio, total body potassium, multi-component, and energy expenditure-based approaches.
- Understanding body composition is crucial for growth, development, disease, and treatment response.
Purpose of the Study:
- To review and summarize various body composition models developed.
- To emphasize the fundamental role of component ratios in understanding human body composition.
- To explore the variability of these ratios and develop predictive models.
Main Methods:
- Development of cellular-level ratio models and simplified derived models.
- Analysis of in-vivo measurements of body component ratios in healthy adults.
- Correlation of cellular models with the extracellular to intracellular water ratio (E/I) to predict component ratio variability.
Main Results:
- Some body component ratios, like total body water/fat-free mass, are stable in healthy adults and useful for developing methods.
- Other ratios, such as total body potassium/fat-free mass, exhibit high in-vivo variability.
- The extracellular to intracellular water ratio (E/I) varies widely and is a major factor in predicting the magnitude and variability of body component ratios.
Conclusions:
- The extracellular to intracellular water ratio (E/I) provides critical insights into body composition ratio variability.
- The developed cellular and simplified models offer improved understanding of body composition in adults.
- This approach enhances the ability to predict and interpret changes in body composition based on water distribution.
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