Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Research Articles

Indoor Tanning Dependence in Young Adult Women

Darren Mays, Michael B. Atkins, Jaeil Ahn and Kenneth P. Tercyak
Darren Mays
1Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Darren.Mays@georgetown.edu
Michael B. Atkins
1Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jaeil Ahn
2Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kenneth P. Tercyak
1Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1055-9965.EPI-17-0403 Published November 2017
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

  • Additional Files
  • Table 1.

    Sample characteristics overall and by indoor tanning (IT) dependence

    Sample N = 389+ IT Dependence N = 88− IT Dependence N = 301P
    Demographics
     Age, mean (SD), range 18–30, y23.3 (3.0)22.9 (2.8)23.4 (3.1)0.113
     ≥College education244 (62.7)47 (53.4)197 (65.5)0.040
     <College education145 (37.3)41 (46.6)104 (34.5)
     Income ≥ $50,000198 (50.9)49 (55.7)149 (49.5)0.308
     Income < $50,000 or not reported191 (49.1)39 (44.3)152 (50.5)
     Season of study participation
      Spring102 (26.2)21 (23.9)81 (26.9)
      Summer112 (28.8)25 (28.4)87 (28.9)0.929
      Fall114 (29.3)27 (30.7)87 (28.9)
      Winter61 (15.7)15 (17.1)46 (15.3)
    Skin cancer risk factors
     Always/usually burn93 (24.0)20 (22.7)73 (24.3)0.756
     Rarely/never burn296 (76.0)68 (77.3)227 (75.7)
     Red/blonde hair145 (37.3)31 (35.2)114 (37.9)0.652
     Brown/black hair244 (62.7)57 (64.8)187 (62.1)
     FDR w/melanoma61 (15.7)15 (17.1)46 (15.3)0.689
     No FDR w/melanoma328 (84.3)73 (82.9)255 (84.7)
     Intentional outdoor tanning, mean (SD), range 1–53.4 (0.83)3.5 (0.84)3.3 (0.83)0.028
     Past 12-month sunburns, mean (SD), range 0–52.6 (1.3)2.8 (1.3)2.5 (1.3)0.103
    IT Behavior
     Age IT initiation, mean (SD), range 8–28, y17.1 (2.6)16.2 (2.2)17.4 (2.6)<0.001
     Past year IT frequency
      1 or 2 times74 (19.0)8 (9.1)66 (21.9)
      3–9 times145 (37.3)27 (30.7)118 (39.2)<0.001
      10–19 times75 (19.3)16 (18.2)59 (19.6)
      ≥20 times95 (24.2)37 (42.0)58 (19.3)
     Opioid-like IT reactions, mean (SD), range 1–53.5 (0.93)3.8 (1.0)3.4 (.89)0.002
    IT Beliefs
     Benefits of IT, mean (SD), range 1–52.8 (0.66)3.0 (0.77)2.7 (0.61)<0.001
     Attitudes, mean (SD), range 1–53.9 (0.59)4.2 (0.49)3.8 (0.59)<0.001
     Perceived susceptibility risks, mean (SD), range 1–53.2 (0.69)3.4 (0.70)3.1 (0.67)<0.001
     Perceived severity risks, mean (SD), range 1–53.8 (0.70)3.7 (0.72)3.8 (0.70)0.092
    Alcohol & tobacco
     Current cigarette smoker73 (18.8)15 (17.0)58 (19.3)0.638
     Nonsmoker316 (81.2)73 (83.0)243 (80.7)
     Past 30-day binge drinking278 (71.5)59 (67.0)219 (72.8)0.297
     No past 30-day binge drinking111 (28.5)29 (33.0)82 (27.2)
    Psychologic risk factors
     Sensation seeking, mean (SD), range 1–42.7 (0.67)2.8 (0.67)2.6 (0.67)0.109
     Self-esteem, mean (SD), range 0–322.3 (5.5)20.3 (6.0)22.9 (5.3)<0.001
     Appearance orientation, mean (SD), range 1–53.8 (0.63)4.0 (0.60)3.7 (0.62)<0.001
    Depressive symptoms
     Screen + depressive symptoms185 (47.6)66 (75.0)119 (39.5)<0.001
     Screen – depressive symptoms204 (52.4)22 (25.0)182 (60.5)
    • NOTE: Cells display no. (%) unless noted in the row label. Some variables do not sum to total sample size due to sporadic missing data (<1% for any given variable).

    • Abbreviation: FDR, first-degree relative.

  • Table 2.

    Frequency of reported IT dependence symptoms overall and by IT dependence

    Sample, N = 389+ IT Dependence N = 88− IT Dependence N = 301P
    mCAGE
     Cut down: have you tried to stop tanning, but still continue?65 (16.7)53 (60.2)12 (4.0)<0.001
     Annoyed: do you ever get annoyed when people tell you not to tan?179 (46.0)75 (85.2)104 (34.6)<0.001
     Guilty: do you ever feel guilty that you tan too much?130 (33.4)63 (71.6)67 (22.3)<0.001
     Eye opener: when you wake up in the morning, do you want to tan?49 (12.6)35 (40.2)14 (4.7)<0.001
     ≥2 CAGE Symptoms111 (28.5)88 (100)23 (20.7)<0.001
    mDSM
     Tolerance: do you feel that you need to spend more time tanning in order to maintain your tan?169 (43.4)64 (72.7)105 (34.9)<0.001
     Withdrawal: do you feel unattractive or anxious to tan if you do not maintain your tan?173 (44.7)68 (78.2)105 (34.9)<0.001
     Should decrease/stop: do you think you should stop tanning or decrease the time you spend tanning?150 (38.6)61 (69.3)89 (29.6)<0.001
     Unsuccessful quitting: have you tried to stop tanning, but still continue?64 (16.5)53 (60.9)11 (3.6)<0.001
     Missed obligations: have you ever missed a social engagement, work, school, or other recreational activities because you went tanning instead?34 (8.7)16 (18.2)18 (6.0)<0.001
     Trouble at work or home: have you ever gotten into trouble at work, with family, or with friends due to tanning?22 (5.7)13 (14.8)9 (3.0)<0.001
     Tan despite knowing risks: Do you continue to tan despite knowing that it is bad for your skin?325 (83.6)86 (97.7)239 (79.4)<0.001
     Tan despite personal/family history of skin cancer: have you ever had a skin cancer or do you have a first-degree relative (mother, father, sister, brother) who has had skin cancer?72 (18.6)17 (19.5)55 (18.3)0.799
     ≥3 mDSM Symptoms191 (49.1)88 (100)103 (34.2)<0.001
    Positive Screen for IT Dependence88 (22.6)88 (100)0 (0)n/a
    • NOTE: Positive screen for IT dependence defined as ≥2 mCAGE and ≥3 mDSM symptoms endorsed. Cells display no. (%).

    • Abbreviations: mCAGE, modified CAGE; mDSM, modified Diagnostic and Statistical Manual of Mental Disorders-IV.

  • Table 3.

    Unadjusted and adjusted logistic regression model of correlates of IT dependence

    Unadjusted OR (95% CI)PaOR (95% CI)P
    Demographics
     Education
      <College educationRef.Ref.
      ≥College education0.60 (0.37–0.97)0.0370.84 (0.47–1.50)0.548
    Melanoma risk factors
     Intentional outdoor tanning1.39 (1.03–1.87)0.0291.29 (0.91–1.85)0.152
    IT Behavior
     Age of IT initiation, y0.79 (0.71–0.89)<0.0010.85 (0.74–0.97)0.017
     Past year IT frequency
     1 or 2 timesRef.Ref.
     3–9 times1.89 (0.81–4.39)0.4951.80 (0.67–4.81)0.774
     10–19 times2.24 (0.89–5.61)0.9021.45 (0.49–4.30)0.612
     ≥20 times5.26 (2.27–12.21)<0.0013.03 (1.11–8.32)0.015
     Opioid-like reactions1.57 (1.18–2.10)0.0021.06 (0.76–1.47)0.738
    IT Beliefs & perceptions
     Benefits of IT2.22 (1.52–3.25)<0.0012.15 (1.28–3.61)0.004
     Attitudes3.43 (2.14–5.51)<0.0011.25 (0.67–2.31)0.478
     Perceived susceptibility to risks2.19 (1.52–3.17)<0.0012.72 (1.67–4.42)<0.001
     Perceived severity of risks0.75 (0.53–1.05)0.0920.88 (0.57–1.34)0.549
    Psychologic risk factors
     Self-esteem0.92 (0.88–0.96)<0.0011.01 (0.95–1.07)0.724
     Appearance orientation2.68 (1.73–4.17)<0.0011.73 (1.03–2.90)0.037
    Depressive symptoms
     Screen – depressive symptomsRef.Ref.
     Screen + depressive symptoms4.59 (2.69–7.83)<0.0013.79 (1.90–7.57)<0.001
    Hosmer–Lemeshow χ2—5.18 (8 df)0.738
    • NOTE: Variables correlated with IT dependence at P < 0.10 in two-sample comparisons in Table 1 were included in regression models.

Additional Files

  • Tables
  • Supplementary Data

    • Supplementary Table 1 - Adjusted logistic regression model of correlates of indoor tanning (IT) dependence including all variables
PreviousNext
Back to top
Cancer Epidemiology Biomarkers & Prevention: 26 (11)
November 2017
Volume 26, Issue 11
  • Table of Contents
  • Table of Contents (PDF)
  • Editorial Board (PDF)

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Indoor Tanning Dependence in Young Adult Women
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Indoor Tanning Dependence in Young Adult Women
Darren Mays, Michael B. Atkins, Jaeil Ahn and Kenneth P. Tercyak
Cancer Epidemiol Biomarkers Prev November 1 2017 (26) (11) 1636-1643; DOI: 10.1158/1055-9965.EPI-17-0403

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Indoor Tanning Dependence in Young Adult Women
Darren Mays, Michael B. Atkins, Jaeil Ahn and Kenneth P. Tercyak
Cancer Epidemiol Biomarkers Prev November 1 2017 (26) (11) 1636-1643; DOI: 10.1158/1055-9965.EPI-17-0403
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Disclosure of Potential Conflicts of Interest
    • Disclaimer
    • Authors' Contributions
    • Grant Support
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Early-Life Risk Factors for Breast Cancer
  • Sugary Drink Consumption and Colorectal Cancer Risk
  • HPV Testing in Self-samples and Urine
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement