Literature DB >> 16139499

Public awareness about risk factors could pose problems for case-control studies: the example of sunbed use and cutaneous melanoma.

E de Vries1, M Boniol, G Severi, A M M Eggermont, P Autier, V Bataille, J F Doré, J W W Coebergh.   

Abstract

In a large case-control study we found no association between sunbed use and melanoma risk, but indications for potential recall and recruitment biases made the interpretation of the results difficult. Associations with skin phototype (adj OR for skin type I vs. IV: (2.6, 95% CI 1.5-4.8)), hair colour (adj OR red/blond vs. brown/black 2.0 (95% CI 1.4-2.8)) and number of naevi on both arms (OR>10 vs. 10 3.13 (95% CI: 2.47; 3.97)) were comparable to previous studies, but negative associations were found between sun exposure and melanoma risk (adj. OR 0.87 (95% CI: 0.65-1.18)) and in cases between sun exposure and naevus count. These observations led us to speculate that cases may have underreported their sun exposure and, most likely, their sunbed exposure. High percentages of sunbed use among controls indicated possible recruitment bias: eligible controls who were sunbed users were probably more likely to accept the invitation to participate than non-users, possibly due to a feeling of 'guilt' or 'worry' about their habits. Such selective participation may have strongly influenced the risk estimates of sunbed use in our study.

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Year:  2005        PMID: 16139499     DOI: 10.1016/j.ejca.2005.04.042

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 in total

1.  Using the Prediction Model Risk of Bias Assessment Tool (PROBAST) to Evaluate Melanoma Prediction Studies.

Authors:  Isabelle Kaiser; Sonja Mathes; Annette B Pfahlberg; Wolfgang Uter; Carola Berking; Markus V Heppt; Theresa Steeb; Katharina Diehl; Olaf Gefeller
Journal:  Cancers (Basel)       Date:  2022-06-20       Impact factor: 6.575

2.  Population-based, case-control-family design to investigate genetic and environmental influences on melanoma risk: Australian Melanoma Family Study.

Authors:  Anne E Cust; Helen Schmid; Judith A Maskiell; Jodie Jetann; Megan Ferguson; Elizabeth A Holland; Chantelle Agha-Hamilton; Mark A Jenkins; John Kelly; Richard F Kefford; Graham G Giles; Bruce K Armstrong; Joanne F Aitken; John L Hopper; Graham J Mann
Journal:  Am J Epidemiol       Date:  2009-11-03       Impact factor: 4.897

3.  Sunburns and risk of cutaneous melanoma: does age matter? A comprehensive meta-analysis.

Authors:  Leslie K Dennis; Marta J Vanbeek; Laura E Beane Freeman; Brian J Smith; Deborah V Dawson; Julie A Coughlin
Journal:  Ann Epidemiol       Date:  2008-08       Impact factor: 3.797

4.  Ethnicity and cutaneous melanoma in the city of Sao Paulo, Brazil: a case-control study.

Authors:  Olinda C Luiz; Reinaldo José Gianini; Fernanda T Gonçalves; Guilherme Francisco; Cyro Festa-Neto; José Antonio Sanches; Gilka J F Gattas; Roger Chammas; José Eluf-Neto
Journal:  PLoS One       Date:  2012-04-27       Impact factor: 3.240

5.  Patterns of Ultraviolet Radiation Exposure and Skin Cancer Risk: the E3N-SunExp Study.

Authors:  Isabelle Savoye; Catherine M Olsen; David C Whiteman; Anne Bijon; Lucien Wald; Laureen Dartois; Françoise Clavel-Chapelon; Marie-Christine Boutron-Ruault; Marina Kvaskoff
Journal:  J Epidemiol       Date:  2017-11-25       Impact factor: 3.211

Review 6.  Current Data on Risk Factor Estimates Does Not Explain the Difference in Rates of Melanoma between Hispanics and Non-Hispanic Whites.

Authors:  Sonia Kamath; Kimberly A Miller; Myles G Cockburn
Journal:  J Skin Cancer       Date:  2016-03-22
  6 in total

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