Evidence map›Paper›PMID 29474700›Full record

ArticleTranslational behavioral medicine2019

Content analysis of Twitter chatter about indoor tanning.

Molly E Waring, Katie Baker, Anthony Peluso, Christine N May, Sherry L Pagoto

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Proof-of-Concept Feasibility Trial of a Dissonance-Based Sun Safety Intervention for Young Adult Tanners.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
    Trial
  3. Trial
  4. Article
  5. Article
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  9. A Call for a Public Health Agenda for Social Media Research.Journal of medical Internet research · 2019
    Article
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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

5 authors.

Molly E WaringDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT.
Katie BakerDepartment of Community and Behavioral Health, East Tennessee State University College of Public Health, Johnson City, TN.
Anthony PelusoDepartment of Community and Behavioral Health, East Tennessee State University College of Public Health, Johnson City, TN.
Christine N MayDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA.
Sherry L PagotoDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT.

Funding

Implementation Research Training Program in Cancer Prevention and ControlR25CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HOUSTON, THOMAS K, LEMON, STEPHENIE C. · 2014 to 2018
$1.9M
Mentoring in mHealth and Social Networking Interventions for CVD Risk ReductionK24HL124366 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI PAGOTO, SHERRY L. · 2015 to 2024
$1.1M
NCI NIH HHS R25 CA172009NHLBI NIH HHS K24 HL124366
6 · The paper itself

Abstract

Twitter may be useful for learning about indoor tanning behavior and attitudes. The objective of this study was to analyze the content of tweets about indoor tanning to determine the extent to which tweets are posted by people who tan, and to characterize the topics of tweets. We extracted 4,691 unique tweets from Twitter using the terms "tanning bed" or "tanning salon" over 7 days in March 2016. We content analyzed a random selection of 1,000 tweets, double-coding 20% of tweets (κ = 0.74, 81% agreement). Most tweets (71%) were by tanners (n = 699 individuals) and included tweets expressing positive sentiment about tanning (57%), and reports of a negative tanning experience (17%), burning (15%), or sleeping in a tanning bed (9%). Four percent of tweets were by tanning salon employees. Tweets posted by people unlikely to be tanners (15%) included tweets mocking tanners (71%) and health warnings (29%). The term "tanning bed" had higher precision for identifying individuals who engage in indoor tanning than "tanning salon"; 77% versus 45% of tweets captured by these search terms were by individuals who engaged in indoor tanning, respectively. Extrapolating to the full data set of 4,691 tweets, findings suggest that an average of 468 individuals who engage in indoor tanning can be identified by their tweets per day. The majority of tweets were from tanners and included reports of especially risky habits (e.g., burning, falling asleep). Twitter provides opportunity to identify indoor tanners and examine conversations about indoor tanning.

Indexed as

AdolescentAdultAttitude to HealthBurnsCross-Sectional StudiesCultureFemaleHumansMelanomaSkin NeoplasmsSocial MediaSunbathingUltraviolet RaysUnited StatesWounds and InjuriesYoung Adult

Identifiers

PMID29474700
PMCPMC6608941

What OpenQuestion holds

Textmetadata
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.