Literature DB >> 25865399

"Obesity is the New Major Cause of Cancer": Connections Between Obesity and Cancer on Facebook and Twitter.

Erin E Kent1,2, Abby Prestin3, Anna Gaysynsky3, Kasia Galica3,4, Robin Rinker5, Kaitlin Graff6, Wen-Ying Sylvia Chou3.   

Abstract

Social media interactions can inform public health risk perceptions. While research has examined the risk relationships between obesity and cancer, public attitudes about their associations remain largely unknown. We explored how these constructs were discussed together on two social media platforms. Publicly accessible Facebook and Twitter posts from a 2-month period in 2012 containing references to obesity ("obese/obesity," "overweight," and "fat") and cancer-related words were extracted (N = 3702 posts). Data cleaning yielded a final set of 1382 posts (Facebook: N = 291; Twitter: N = 1091). Using a mixed-methods approach, themes were inductively generated, and sentiment valence, structural elements, and epistemic stance were coded. Seven relational themes emerged: obesity is associated with cancer (n = 389), additional factors are associated with both obesity and cancer (n = 335), obesity causes cancer (n = 85), cancer causes obesity (n = 6), obesity is not linked to cancer (n = 13), co-occurrence (n = 492), and obesity is valued differently than cancer (n = 60). Fifty-nine percent of posts focused on an associative or causal link between obesity and cancer. Thirty-one percent of posts contained positive and/or negative sentiment. Facebook was more likely to contain any sentiment, but Twitter contained proportionately more negative sentiment. Concurrent qualitative analysis revealed a dominance of individual blame for overweight/obese persons and more support and empathy for cancer survivors. Our study reflects wide recognition of the evidence linking obesity to increased risk of cancer, a diverse set of factors perceived to be dually associated with both conditions and differing attribution of responsibility. We demonstrate that social media monitoring can provide an important gauge of public health risk perception.

Entities:  

Keywords:  Cancer; Mixed methods; Obesity; Risk perception; Social media

Mesh:

Year:  2016        PMID: 25865399     DOI: 10.1007/s13187-015-0824-1

Source DB:  PubMed          Journal:  J Cancer Educ        ISSN: 0885-8195            Impact factor:   2.037


  21 in total

1.  Causation and causal inference in epidemiology.

Authors:  Kenneth J Rothman; Sander Greenland
Journal:  Am J Public Health       Date:  2005       Impact factor: 9.308

2.  Twitter as a source of vaccination information: content drivers and what they are saying.

Authors:  Brad Love; Itai Himelboim; Avery Holton; Kristin Stewart
Journal:  Am J Infect Control       Date:  2013-06       Impact factor: 2.918

3.  Social media and the science of health behavior.

Authors:  Damon Centola
Journal:  Circulation       Date:  2013-05-28       Impact factor: 29.690

Review 4.  Cancer survivorship research in Europe and the United States: where have we been, where are we going, and what can we learn from each other?

Authors:  Julia H Rowland; Erin E Kent; Laura P Forsythe; Jon Håvard Loge; Lars Hjorth; Adam Glaser; Vittorio Mattioli; Sophie D Fosså
Journal:  Cancer       Date:  2013-06-01       Impact factor: 6.860

5.  Obesity in social media: a mixed methods analysis.

Authors:  Wen-Ying Sylvia Chou; Abby Prestin; Stephen Kunath
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

6.  Fat stigmatization on YouTube: a content analysis.

Authors:  Mallory Hussin; Savannah Frazier; J Kevin Thompson
Journal:  Body Image       Date:  2010-12-03

Review 7.  Body mass index, prostate cancer-specific mortality, and biochemical recurrence: a systematic review and meta-analysis.

Authors:  Yin Cao; Jing Ma
Journal:  Cancer Prev Res (Phila)       Date:  2011-01-13

8.  Public views about health causation, attributions of responsibility, and inequality.

Authors:  Helen Lundell; Jeff Niederdeppe; Christopher Clarke
Journal:  J Health Commun       Date:  2013-05-16

9.  Obesity stigma: important considerations for public health.

Authors:  Rebecca M Puhl; Chelsea A Heuer
Journal:  Am J Public Health       Date:  2010-01-14       Impact factor: 9.308

10.  Using the Internet to help with diet, weight, and physical activity: results from the Health Information National Trends Survey (HINTS).

Authors:  Scout N McCully; Brian P Don; John A Updegraff
Journal:  J Med Internet Res       Date:  2013-08-01       Impact factor: 5.428

View more
  9 in total

1.  Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set.

Authors:  Adrien Boukobza; Anita Burgun; Bertrand Roudier; Rosy Tsopra
Journal:  JMIR Med Inform       Date:  2022-05-25

2.  Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter.

Authors:  Songhua Xu; Christopher Markson; Kaitlin L Costello; Cathleen Y Xing; Kitaw Demissie; Adana Am Llanos
Journal:  JMIR Public Health Surveill       Date:  2016-04-28

3.  Advancing Cancer Prevention and Behavior Theory in the Era of Big Data.

Authors:  Audie A Atienza; Katrina J Serrano; William T Riley; Richard P Moser; William M Klein
Journal:  J Cancer Prev       Date:  2016-09-30

4.  Public Perceptions Regarding Use of Virtual Reality in Health Care: A Social Media Content Analysis Using Facebook.

Authors:  Michelle Sophie Keller; Hannah J Park; Maria Elena Cunningham; Joshua Eleazar Fouladian; Michelle Chen; Brennan Mason Ross Spiegel
Journal:  J Med Internet Res       Date:  2017-12-19       Impact factor: 5.428

Review 5.  Sentiment Analysis of Health Care Tweets: Review of the Methods Used.

Authors:  Sunir Gohil; Sabine Vuik; Ara Darzi
Journal:  JMIR Public Health Surveill       Date:  2018-04-23

Review 6.  How has big data contributed to obesity research? A review of the literature.

Authors:  Kate A Timmins; Mark A Green; Duncan Radley; Michelle A Morris; Jamie Pearce
Journal:  Int J Obes (Lond)       Date:  2018-07-18       Impact factor: 5.095

7.  Using Facebook for Qualitative Research: A Brief Primer.

Authors:  Daschel Franz; Heather Elizabeth Marsh; Jason I Chen; Alan R Teo
Journal:  J Med Internet Res       Date:  2019-08-13       Impact factor: 5.428

Review 8.  Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review.

Authors:  Chuqin Li; Adesoji Ademiluyi; Yaorong Ge; Albert Park
Journal:  JMIR Public Health Surveill       Date:  2022-03-07

Review 9.  Using Machine Learning for Pharmacovigilance: A Systematic Review.

Authors:  Patrick Pilipiec; Marcus Liwicki; András Bota
Journal:  Pharmaceutics       Date:  2022-01-23       Impact factor: 6.321

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.