Study of body composition analysis in the view of obesity prognosis

Chandra Kumar Dixit, Aziz Unnisa, Edward Torres-Cruz, Mohammad Javed Ansari, Shibili Nuhmani, Kumud Pant

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationInternational Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735444430
DOIs
StatePublished - 25 Apr 2023
Event2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 - Chennai, India
Duration: 21 Mar 202225 Mar 2022

Publication series

NameAIP Conference Proceedings
Volume2603
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022
Country/TerritoryIndia
CityChennai
Period21/03/2225/03/22

Keywords

  • 2019-nCoV
  • COVID-2019
  • Demographic Factor
  • Environmental Factor
  • India
  • Lockdown

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