Evidence map›Paper›PMID 34869519›Full record

ReviewFrontiers in nutrition2021

Weight Stigma and Social Media: Evidence and Public Health Solutions.

Olivia Clark, Matthew M Lee, Muksha Luxmi Jingree, Erin O'Dwyer, Yiyang Yue, Abrania Marrero, Martha Tamez, Shilpa N Bhupathiraju, Josiemer Mattei

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
18.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Becoming monstrous: Beauty norms, body image, and discursive limits on compassion in The Substance.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Weight loss following nutritional education session among newly diagnosed breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Predictors and barriers for biosecurity uptake and risk understanding among Ontario horse owners.The Canadian veterinary journal = La revue veterinaire canadienne · 2025
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Olivia ClarkDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Matthew M LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Muksha Luxmi JingreeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Erin O'DwyerDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Yiyang YueDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Abrania MarreroDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Martha TamezDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Shilpa N BhupathirajuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Josiemer MatteiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Harvard University · USBrigham and Women's Hospital · US

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

Weight stigma is a pressing issue that affects individuals across the weight distribution. The role of social media in both alleviating and exacerbating weight bias has received growing attention. On one hand, biased algorithms on social media platforms may filter out posts from individuals in stigmatized groups and concentrate exposure to content that perpetuates problematic norms about weight. Individuals may also be more likely to engage in attacks due to increased anonymity and lack of substantive consequences online. The critical influence of social media in shaping beliefs may also lead to the internalization of weight stigma. However, social media could also be used as a positive agent of change. Movements such as Body Positivity, the Fatosphere, and Health at Every Size have helped counter negative stereotypes and provide more inclusive spaces. To support these efforts, governments should continue to explore legislative solutions to enact anti-weight discrimination policies, and platforms should invest in diverse content moderation teams with dedicated weight bias training while interrogating bias in existing algorithms. Public health practitioners and clinicians should leverage social media as a tool in weight management interventions and increase awareness of stigmatizing online content among their patients. Finally, researchers must explore how experiences of stigma differ across in-person and virtual settings and critically evaluate existing research methodologies and terminology. Addressing weight stigma on social media will take a concerted effort across an expansive set of stakeholders, but the benefits to population health are consequential and well-worth our collective attention.

Indexed as

disordered eatingobesitysocial mediaweight bias internalizationweight stigma

Identifiers

PMID34869519
PMCPMC8632711
OpenAlexW3214556359

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.