↓ Skip to main content

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

Overview of attention for article published in BMC Medicine, August 2018
Altmetric Badge

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 2,958)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

102 news outlets
10 blogs
559 tweeters
12 Facebook pages
1 Google+ user
1 Redditor
4 video uploaders


176 Dimensions

Readers on

573 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

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


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 559 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 573 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 573 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 116 20%
Student > Master 84 15%
Student > Ph. D. Student 52 9%
Student > Doctoral Student 44 8%
Researcher 36 6%
Other 91 16%
Unknown 150 26%
Readers by discipline Count As %
Psychology 101 18%
Nursing and Health Professions 94 16%
Medicine and Dentistry 67 12%
Social Sciences 37 6%
Biochemistry, Genetics and Molecular Biology 20 3%
Other 73 13%
Unknown 181 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 1306. 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 17 January 2022.
All research outputs
of 20,128,681 outputs
Outputs from BMC Medicine
of 2,958 outputs
Outputs of similar age
of 294,028 outputs
Outputs of similar age from BMC Medicine
of 1 outputs
Altmetric has tracked 20,128,681 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 2,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. 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 294,028 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