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How and why weight stigma drives the obesity ‘epidemic’ and harms health

Overview of attention for article published in BMC Medicine, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 2,915)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
101 news outlets
blogs
10 blogs
twitter
554 tweeters
facebook
12 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor
video
4 video uploaders

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
546 Mendeley
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Title
How and why weight stigma drives the obesity ‘epidemic’ and harms health
Published in
BMC Medicine, August 2018
DOI 10.1186/s12916-018-1116-5
Pubmed ID
Authors

A. Janet Tomiyama, Deborah Carr, Ellen M. Granberg, Brenda Major, Eric Robinson, Angelina R. Sutin, Alexandra Brewis

Abstract

In an era when obesity prevalence is high throughout much of the world, there is a correspondingly pervasive and strong culture of weight stigma. For example, representative studies show that some forms of weight discrimination are more prevalent even than discrimination based on race or ethnicity. In this Opinion article, we review compelling evidence that weight stigma is harmful to health, over and above objective body mass index. Weight stigma is prospectively related to heightened mortality and other chronic diseases and conditions. Most ironically, it actually begets heightened risk of obesity through multiple obesogenic pathways. Weight stigma is particularly prevalent and detrimental in healthcare settings, with documented high levels of 'anti-fat' bias in healthcare providers, patients with obesity receiving poorer care and having worse outcomes, and medical students with obesity reporting high levels of alcohol and substance use to cope with internalized weight stigma. In terms of solutions, the most effective and ethical approaches should be aimed at changing the behaviors and attitudes of those who stigmatize, rather than towards the targets of weight stigma. Medical training must address weight bias, training healthcare professionals about how it is perpetuated and on its potentially harmful effects on their patients. Weight stigma is likely to drive weight gain and poor health and thus should be eradicated. This effort can begin by training compassionate and knowledgeable healthcare providers who will deliver better care and ultimately lessen the negative effects of weight stigma.

Twitter Demographics

The data shown below were collected from the profiles of 554 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 546 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 546 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 115 21%
Student > Master 81 15%
Student > Ph. D. Student 50 9%
Student > Doctoral Student 42 8%
Researcher 35 6%
Other 89 16%
Unknown 134 25%
Readers by discipline Count As %
Psychology 97 18%
Nursing and Health Professions 91 17%
Medicine and Dentistry 67 12%
Social Sciences 36 7%
Biochemistry, Genetics and Molecular Biology 18 3%
Other 70 13%
Unknown 167 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1292. 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 02 December 2021.
All research outputs
#6,224
of 19,542,586 outputs
Outputs from BMC Medicine
#5
of 2,915 outputs
Outputs of similar age
#137
of 292,599 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 19,542,586 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,915 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one has done particularly well, scoring higher than 99% 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 292,599 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 99% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them