Relevance of body composition in phenotyping the obesities

Obesity is the most extended metabolic alteration worldwide increasing the risk for the development of cardiometabolic alterations such as type 2 diabetes, hypertension, and dyslipidemia. Body mass index (BMI) remains the most frequently used tool for classifying patients with obesity, but it does n...

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Published inReviews in endocrine & metabolic disorders Vol. 24; no. 5; pp. 809 - 823
Main Authors Salmón-Gómez, Laura, Catalán, Victoria, Frühbeck, Gema, Gómez-Ambrosi, Javier
Format Journal Article
LanguageEnglish
Published New York Springer US 01.10.2023
Springer
Springer Nature B.V
Subjects
Adipose tissue
Adiposity
Body Composition
Body fat
Body Mass Index
Classification
Classification systems
Clinical medicine
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - diagnosis
Dyslipidemia
Endocrinology
Humans
Hypertension
Internal Medicine
Medicine
Medicine & Public Health
Metabolic disorders
Nutrition
Obesity
Overweight
Patients
Phenotyping
Physiological aspects
Risk Factors
Type 2 diabetes
Waist Circumference
Weight control
Body fat percentage
Obesity
Waist circumference
Metabolic health
Phenotyping
Cardiometabolic risk
Visceral adipose tissue
Body composition
BMI
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Abstract Obesity is the most extended metabolic alteration worldwide increasing the risk for the development of cardiometabolic alterations such as type 2 diabetes, hypertension, and dyslipidemia. Body mass index (BMI) remains the most frequently used tool for classifying patients with obesity, but it does not accurately reflect body adiposity. In this document we review classical and new classification systems for phenotyping the obesities. Greater accuracy of and accessibility to body composition techniques at the same time as increased knowledge and use of cardiometabolic risk factors is leading to a more refined phenotyping of patients with obesity. It is time to incorporate these advances into routine clinical practice to better diagnose overweight and obesity, and to optimize the treatment of patients living with obesity.
AbstractList Obesity is the most extended metabolic alteration worldwide increasing the risk for the development of cardiometabolic alterations such as type 2 diabetes, hypertension, and dyslipidemia. Body mass index (BMI) remains the most frequently used tool for classifying patients with obesity, but it does not accurately reflect body adiposity. In this document we review classical and new classification systems for phenotyping the obesities. Greater accuracy of and accessibility to body composition techniques at the same time as increased knowledge and use of cardiometabolic risk factors is leading to a more refined phenotyping of patients with obesity. It is time to incorporate these advances into routine clinical practice to better diagnose overweight and obesity, and to optimize the treatment of patients living with obesity.
Obesity is the most extended metabolic alteration worldwide increasing the risk for the development of cardiometabolic alterations such as type 2 diabetes, hypertension, and dyslipidemia. Body mass index (BMI) remains the most frequently used tool for classifying patients with obesity, but it does not accurately reflect body adiposity. In this document we review classical and new classification systems for phenotyping the obesities. Greater accuracy of and accessibility to body composition techniques at the same time as increased knowledge and use of cardiometabolic risk factors is leading to a more refined phenotyping of patients with obesity. It is time to incorporate these advances into routine clinical practice to better diagnose overweight and obesity, and to optimize the treatment of patients living with obesity.Obesity is the most extended metabolic alteration worldwide increasing the risk for the development of cardiometabolic alterations such as type 2 diabetes, hypertension, and dyslipidemia. Body mass index (BMI) remains the most frequently used tool for classifying patients with obesity, but it does not accurately reflect body adiposity. In this document we review classical and new classification systems for phenotyping the obesities. Greater accuracy of and accessibility to body composition techniques at the same time as increased knowledge and use of cardiometabolic risk factors is leading to a more refined phenotyping of patients with obesity. It is time to incorporate these advances into routine clinical practice to better diagnose overweight and obesity, and to optimize the treatment of patients living with obesity.
Audience Academic
Author Gómez-Ambrosi, Javier
Frühbeck, Gema
Salmón-Gómez, Laura
Catalán, Victoria
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  givenname: Laura
  orcidid: 0000-0002-7223-512X
  surname: Salmón-Gómez
  fullname: Salmón-Gómez, Laura
  organization: Metabolic Research Laboratory, Clínica Universidad de Navarra, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III
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  givenname: Victoria
  orcidid: 0000-0002-7513-7509
  surname: Catalán
  fullname: Catalán, Victoria
  organization: Metabolic Research Laboratory, Clínica Universidad de Navarra, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA) Pamplona
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  orcidid: 0000-0002-8305-7154
  surname: Frühbeck
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  organization: Metabolic Research Laboratory, Clínica Universidad de Navarra, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA) Pamplona, Department of Endocrinology & Nutrition, Clínica Universidad de Navarra
– sequence: 4
  givenname: Javier
  orcidid: 0000-0001-5601-1604
  surname: Gómez-Ambrosi
  fullname: Gómez-Ambrosi, Javier
  email: jagomez@unav.es
  organization: Metabolic Research Laboratory, Clínica Universidad de Navarra, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA) Pamplona
BackLink https://www.ncbi.nlm.nih.gov/pubmed/36928809$$D View this record in MEDLINE/PubMed
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Issue 5
Keywords Body fat percentage
Obesity
Waist circumference
Metabolic health
Phenotyping
Cardiometabolic risk
Visceral adipose tissue
Body composition
BMI
Language English
License 2023. The Author(s).
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Snippet Obesity is the most extended metabolic alteration worldwide increasing the risk for the development of cardiometabolic alterations such as type 2 diabetes,...
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SubjectTerms Adipose tissue
Adiposity
Body Composition
Body fat
Body Mass Index
Classification
Classification systems
Clinical medicine
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - diagnosis
Dyslipidemia
Endocrinology
Humans
Hypertension
Internal Medicine
Medicine
Medicine & Public Health
Metabolic disorders
Nutrition
Obesity
Overweight
Patients
Phenotyping
Physiological aspects
Risk Factors
Type 2 diabetes
Waist Circumference
Weight control
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Title Relevance of body composition in phenotyping the obesities
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