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Cited by 288

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Visceral obesity and metabolic syndrome

Bosello, O., Zamboni, M.·2000·Obesity Reviews

Abstract

Summary: There is increasing evidence for the existence of a condition consisting of a cluster of metabolic disorders which include insulin resistance, alterations in glucose and lipid metabolism, increased blood pressure and visceral obesity. The metabolic syndrome is now the favoured definition of the cluster. Each single component of the cluster increases the cardiovascular risk, but the combination of factors is much more important. Insulin resistance is the most frequently associated factor to the singular components of the syndrome: most authors believe that it may be the common aetiological factor. However, visceral obesity seems to be the main driving factor by means of the increased production of free fatty acids whose activity, in turn, might interfere with the action of insulin. Some questions exist about the syndrome because of the frequent lack in the cluster of one of the factors. This does not mean that the missing factor does not belong to the syndrome, but only that it is not yet clinically evident. Weight gain has been shown to be a strong predictor of the metabolic syndrome. This aspect gives strength to treatment and prevention because it means that losing weight or stopping weight increase might reduce the risk of a future appearance of a factor that is still not evident. Interventions to treat visceral obesity by means of losing weight seem to be the most efficacious way to treat the metabolic syndrome thus improving the most widespread cardiovascular risk factor in western countries.

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Crossref · 10.1046/j.1467-789x.2000.00008.x

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Metadata

Authors
Bosello, O., & Zamboni, M.
Venue
Obesity Reviews
Publisher
Wiley
Published
2000-05
Volume
1
Issue
1
Pages
47-56
ISSN
  • 1467-7881 (ISSN-L)
  • 1467-789X
OpenAlex
W2168251511
Cited by
288
References
9
FWCI
2.12
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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