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Metabolically healthy obesity: Definitions, determinants and clinical implications

Overview of attention for article published in Reviews in Endocrine and Metabolic Disorders, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

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296 Dimensions

Readers on

mendeley
372 Mendeley
Title
Metabolically healthy obesity: Definitions, determinants and clinical implications
Published in
Reviews in Endocrine and Metabolic Disorders, August 2013
DOI 10.1007/s11154-013-9252-x
Pubmed ID
Authors

Catherine M. Phillips

Abstract

Obesity is associated with increased risk of developing metabolic syndrome (MetS), type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) leading to higher all-cause mortality. However accumulating evidence suggests that not all obese subjects are at increased cardiometabolic risk and that the "metabolically healthy obese" (MHO) phenotype may exist in the absence of metabolic abnormalities. Despite the knowledge of the existence of obese metabolic phenotypes for some time now there is no standard set of criteria to define metabolic health, thus impacting on the accurate estimation of the prevalence of the MHO phenotype and making comparability between studies difficult. Furthermore prospective studies tracking the development of cardiometabolic disease and mortality in MHO have also produced conflicting results. Limited data regards the determinants of the MHO phenotype exist, particularly in relation to dietary and lifestyle behaviours. In light of the current obesity epidemic it is clear that current "one size fits all" approaches to tackle obesity are largely unsuccessful. Whether dietary, lifestyle and/or therapeutic interventions based on stratification of obese individuals according to their metabolic health phenotype are more effective remains to be seen, with limited and conflicting data available so far. This review will present the current state of the art including the epidemiology of MHO and its definitions, what factors may be important in determining metabolic health status and finally, some potential implications of the MHO phenotype in the context of obesity diagnosis, interventions and treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Spain 2 <1%
Japan 1 <1%
Malaysia 1 <1%
Unknown 364 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 55 15%
Student > Bachelor 52 14%
Researcher 46 12%
Student > Ph. D. Student 45 12%
Student > Postgraduate 30 8%
Other 74 20%
Unknown 70 19%
Readers by discipline Count As %
Medicine and Dentistry 132 35%
Biochemistry, Genetics and Molecular Biology 48 13%
Agricultural and Biological Sciences 28 8%
Nursing and Health Professions 24 6%
Sports and Recreations 9 2%
Other 40 11%
Unknown 91 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2020.
All research outputs
#2,312,332
of 25,837,817 outputs
Outputs from Reviews in Endocrine and Metabolic Disorders
#93
of 549 outputs
Outputs of similar age
#19,096
of 211,030 outputs
Outputs of similar age from Reviews in Endocrine and Metabolic Disorders
#1
of 12 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 549 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 211,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.