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Identifying obesity subtypes: A review of studies utilising clinical biomarkers and genetic data.

Authors :
Abraham, Angela
Yaghootkar, Hanieh
Source :
Diabetic Medicine. Dec2023, Vol. 40 Issue 12, p1-9. 9p.
Publication Year :
2023

Abstract

Obesity is a complex and multifactorial condition that poses significant health risks. Recent advancements in our understanding of obesity have highlighted the heterogeneity within this disorder. Identifying distinct subtypes of obesity is crucial for personalised treatment and intervention strategies. This review paper aims to examine studies that have utilised clinical biomarkers and genetic data to identify clusters or subtypes of obesity. The findings of these studies may provide valuable insights into the underlying mechanisms and potential targeted approaches for managing obesity‐related health issues such as type 2 diabetes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07423071
Volume :
40
Issue :
12
Database :
Academic Search Index
Journal :
Diabetic Medicine
Publication Type :
Academic Journal
Accession number :
173552542
Full Text :
https://doi.org/10.1111/dme.15226