Literature DB >> 27356997

Tanning bed burns reported on Twitter: over 15,000 in 2013.

Andrew B Seidenberg1, Sherry L Pagoto2, Theodore A Vickey3, Eleni Linos4, Mackenzie R Wehner5, Renata Dalla Costa2, Alan C Geller6.   

Abstract

Few surveillance tools exist for monitoring tanning bed injuries. Twitter data were examined to identify and describe reports of tanning bed-caused burns. Tweets sent in 2013 containing keywords for tanning bed use and burning were content analyzed to determine whether a burn caused by a tanning bed was described, and additional data on tanning behavior and burn characteristics were extracted. After content assessment, 15,178 (64 %) tweets were found to describe a tanning bed-caused burn. Sites most reportedly burnt were buttocks (n = 3117), face/head (n = 1020), and chest/breast (n = 546). Alarmingly, 200 burns to the eyes/eyelids were mentioned. A total of 456 tweets described burning >1 time from a tanning bed. A total of 211 tweets mentioned falling asleep inside the tanning bed. In 2013, over 15,000 tweets reported tanning bed-caused burns. Twitter data provides unique insight into tanning behaviors and injuries not captured through traditional public health surveillance.

Entities:  

Keywords:  Burns; Social media; Surveillance; Tanning beds

Mesh:

Year:  2016        PMID: 27356997      PMCID: PMC4927451          DOI: 10.1007/s13142-016-0388-6

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  18 in total

1.  YouTube as a source of information on tanning bed use.

Authors:  Eric W Hossler; Michael P Conroy
Journal:  Arch Dermatol       Date:  2008-10

2.  Twitter classification model: the ABC of two million fitness tweets.

Authors:  Theodore A Vickey; Kathleen Martin Ginis; John G Breslin; Maciej Dabrowski
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

3.  Stemming the tanning bed epidemic: time for action.

Authors:  Alan C Geller; Sophie J Balk; David E Fisher
Journal:  J Natl Compr Canc Netw       Date:  2012-10-01       Impact factor: 11.908

4.  Agencies use social media to track foodborne illness.

Authors:  Bridget M Kuehn
Journal:  JAMA       Date:  2014-07       Impact factor: 56.272

5.  Sunbed use and campaign initiatives in the Danish population, 2007-2009: a cross-sectional study.

Authors:  B Køster; C Thorgaard; A Philip; H Clemmensen
Journal:  J Eur Acad Dermatol Venereol       Date:  2011-11       Impact factor: 6.166

6.  Timing of excessive ultraviolet radiation and melanoma: epidemiology does not support the existence of a critical period of high susceptibility to solar ultraviolet radiation- induced melanoma.

Authors:  A Pfahlberg; K F Kölmel; O Gefeller
Journal:  Br J Dermatol       Date:  2001-03       Impact factor: 9.302

7.  Indoor tanning-related injuries treated in a national sample of US hospital emergency departments.

Authors:  Gery P Guy; Meg Watson; Tadesse Haileyesus; Joseph L Annest
Journal:  JAMA Intern Med       Date:  2015-02       Impact factor: 21.873

8.  Indoor tanning among high school students in the United States, 2009 and 2011.

Authors:  Gery P Guy; Zahava Berkowitz; Eric Tai; Dawn M Holman; Sherry Everett Jones; Lisa C Richardson
Journal:  JAMA Dermatol       Date:  2014-05       Impact factor: 10.282

9.  Recent trends in incidence of cutaneous melanoma among US Caucasian young adults.

Authors:  Mark P Purdue; Laura E Beane Freeman; William F Anderson; Margaret A Tucker
Journal:  J Invest Dermatol       Date:  2008-07-10       Impact factor: 8.551

10.  The reliability of tweets as a supplementary method of seasonal influenza surveillance.

Authors:  Anoshé A Aslam; Ming-Hsiang Tsou; Brian H Spitzberg; Li An; J Mark Gawron; Dipak K Gupta; K Michael Peddecord; Anna C Nagel; Christopher Allen; Jiue-An Yang; Suzanne Lindsay
Journal:  J Med Internet Res       Date:  2014-11-14       Impact factor: 5.428

View more
  7 in total

1.  Analysis of the Twitter "Don't Fry Day" Campaign.

Authors:  Jennifer L Nguyen; Carolyn Heckman; Frank Perna
Journal:  JAMA Dermatol       Date:  2018-08-01       Impact factor: 10.282

2.  Is initiating tanning bed use as a minor associated with increased risky tanning behaviors and burning? An exploratory study.

Authors:  Andrew B Seidenberg; Seth M Noar; Jennah M Sontag
Journal:  Prev Med       Date:  2017-07-28       Impact factor: 4.018

3.  Trending on Pinterest: an examination of pins about skin tanning.

Authors:  Smita C Banerjee; Vivian M Rodríguez; Kathryn Greene; Jennifer L Hay
Journal:  Transl Behav Med       Date:  2019-07-16       Impact factor: 3.046

4.  Social Media Use and Access to Digital Technology in US Young Adults in 2016.

Authors:  Andrea C Villanti; Amanda L Johnson; Vinu Ilakkuvan; Megan A Jacobs; Amanda L Graham; Jessica M Rath
Journal:  J Med Internet Res       Date:  2017-06-07       Impact factor: 5.428

Review 5.  Social media based surveillance systems for healthcare using machine learning: A systematic review.

Authors:  Aakansha Gupta; Rahul Katarya
Journal:  J Biomed Inform       Date:  2020-07-02       Impact factor: 6.317

6.  Understanding Melanoma Talk on Twitter: The Lessons Learned and Missed Opportunities.

Authors:  Basma T Gomaa; Eric R Walsh-Buhi; Russell J Funk
Journal:  Int J Environ Res Public Health       Date:  2022-09-08       Impact factor: 4.614

Review 7.  Impact of Social Media on Skin Cancer Prevention.

Authors:  Henriette De La Garza; Mayra B C Maymone; Neelam A Vashi
Journal:  Int J Environ Res Public Health       Date:  2021-05-09       Impact factor: 3.390

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.