Abstract
Chronic overweight is characterized by significant elevations in abdominal fat as well as changes in the composition of fat free mass, particularly total body fluids and its interstitial compartment. The applied in the real restrictions placed by morbid obesity, as well as changes in body content from those of healthy weight, provide enormous hurdles to fat percentage assessment. This research concentrates on some of the research and practice challenges connected with using popular fat percentage measures, and it finds available evidence on suitable approaches for use in extremely obese people. There is already little scientific literature on which body composition measures may be utilised confidently in very obese people. A typical 3 model that combines readings of body mass by air - assisted plethysmography and total body liquid by bio-electrical impedance could provide metrics of percentage body fat in the extremely obese that are significant compared to a conventional, technically skilled 3 storage area prototype that requires infrastructure including such isotopic ratios mass spectrometry as well as important technological knowledge. This study focuses on a few fundamental issues that investigators and physicians confront when doing anthropometric studies on highly obese individuals. A 3 basic framework that is efficient and simple to implement shows potential for usage in this community. Nonetheless, more study on this and other suitable techniques of fat percentage measurement in a broad sample of extremely overweight adults is required.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 |
| Publisher | American Institute of Physics Inc. |
| ISBN (Electronic) | 9780735444430 |
| DOIs | |
| State | Published - 25 Apr 2023 |
| Event | 2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 - Chennai, India Duration: 21 Mar 2022 → 25 Mar 2022 |
Publication series
| Name | AIP Conference Proceedings |
|---|---|
| Volume | 2603 |
| ISSN (Print) | 0094-243X |
| ISSN (Electronic) | 1551-7616 |
Conference
| Conference | 2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 |
|---|---|
| Country/Territory | India |
| City | Chennai |
| Period | 21/03/22 → 25/03/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- 2019-nCoV
- COVID-2019
- Demographic Factor
- Environmental Factor
- India
- Lockdown
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