Literature DB >> 9796629

Reproducibility of reported measurements of sun exposure in a case-control study.

D R English1, B K Armstrong, A Kricker.   

Abstract

We examined the reproducibility of the measurement of sun exposure in a cohort study of nonmelanocytic skin cancer in Geraldton, Western Australia. Two analyses were undertaken: a comparison of cutaneous sun damage with sun exposure reported at interview, and an analysis of test-retest reproducibility of reported exposure. Skin cancers and cutaneous indicators of sun damage (cutaneous microtopography and solar elastosis of the neck) were recorded at a survey in 1987. A case-control study was conducted in 1988 in which subjects were interviewed about their lifetime sun exposure. All subjects had European ancestry. A subset of these subjects was reinterviewed using the same interview schedule in 1993. The comparison of reported exposure with skin damage was restricted to 201 cases of basal cell carcinoma and 700 controls, all of whom were born in Australia and had no southern European ancestors. The analysis of test-retest reproducibility included 62 cases with basal cell carcinoma and 162 controls. After adjustment for the skin's sensitivity to sunlight, cutaneous microtopography explained 7% and solar elastosis of the back of the neck explained 13% of the variance in the reported time spent outdoors. The intraclass correlation between time spent outdoors reported in the two interviews was 0.77 [95% confidence interval (CI), 0.71-0.83], whereas for exposure to a specific anatomical site, it was 0.65 (95% CI, 0.55-0.73). The reported site-specific exposure was lower on the second occasion in controls but higher in cases. The hours of exposure on vacations and the proportion of exposure that occurred on nonworking days had poor reproducibility. Furthermore, cases reported a more intermittent pattern of weekly exposure on the first occasion than on the second, whereas the controls showed little difference in their pattern on the two occasions. The weighted kappa statistic for lifetime painful sunburns was 0.53 (95% CI, 0.41-0.66), and for lifetime number of blistering sunburns, it was 0.54 (95% CI, 0.44-0.65). Thus, the reported sun exposure showed only moderate agreement with biological markers of sun damage. Total sun exposure and, to a lesser extent, site-specific exposure showed good agreement on the two occasions. However, indicators of intermittent sun exposure had poor agreement, and sunburn had only fair agreement.

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Mesh:

Year:  1998        PMID: 9796629

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  25 in total

1.  MC1R genotype may modify the effect of sun exposure on melanoma risk in the GEM study.

Authors:  Anne Kricker; Bruce K Armstrong; Chris Goumas; Peter Kanetsky; Richard P Gallagher; Colin B Begg; Robert C Millikan; Terence Dwyer; Stefano Rosso; Loraine D Marrett; Nancy E Thomas; Marianne Berwick
Journal:  Cancer Causes Control       Date:  2010-08-19       Impact factor: 2.506

Review 2.  Sun exposure and risk of melanoma.

Authors:  S A Oliveria; M Saraiya; A C Geller; M K Heneghan; C Jorgensen
Journal:  Arch Dis Child       Date:  2005-12-02       Impact factor: 3.791

3.  Life course sun exposure and risk of prostate cancer: population-based nested case-control study and meta-analysis.

Authors:  Rebecca Gilbert; Chris Metcalfe; Steven E Oliver; David C Whiteman; Chris Bain; Andy Ness; Jenny Donovan; Freddie Hamdy; David E Neal; J Athene Lane; Richard M Martin
Journal:  Int J Cancer       Date:  2009-09-15       Impact factor: 7.396

Review 4.  Predicting melanoma risk: theory, practice and future challenges.

Authors:  David Whiteman
Journal:  Melanoma Manag       Date:  2014-12-04

5.  Recalling our day in the sun: comparing long-term recall of childhood sun exposure with prospectively collected parent-reported data.

Authors:  Gareth Lingham; Elizabeth Milne; Seyhan Yazar; David A Mackey; Donna Cross; Robyn M Lucas
Journal:  Photochem Photobiol Sci       Date:  2020-02-03       Impact factor: 3.982

6.  Biologic markers of sun exposure and melanoma risk in women: pooled case-control analysis.

Authors:  Catherine M Olsen; Michael S Zens; Adele C Green; Therese A Stukel; C D'Arcy J Holman; Thomas Mack; J Mark Elwood; Elizabeth A Holly; Carlotta Sacerdote; Richard Gallagher; Anthony J Swerdlow; Bruce K Armstrong; Stefano Rosso; Connie Kirkpatrick; Roberto Zanetti; Julia Newton Bishop; Veronique Bataille; Yu-Mei Chang; Rona Mackie; Anne Østerlind; Marianne Berwick; Margaret R Karagas; David C Whiteman
Journal:  Int J Cancer       Date:  2010-11-16       Impact factor: 7.396

7.  Occupational sun exposure and risk of melanoma according to anatomical site.

Authors:  Kylie Vuong; Kevin McGeechan; Bruce K Armstrong; Anne E Cust
Journal:  Int J Cancer       Date:  2013-11-29       Impact factor: 7.396

8.  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

9.  The Queensland Study of Melanoma: environmental and genetic associations (Q-MEGA); study design, baseline characteristics, and repeatability of phenotype and sun exposure measures.

Authors:  Amanda J Baxter; Maria Celia Hughes; Marina Kvaskoff; Victor Siskind; Sri Shekar; Joanne F Aitken; Adele C Green; David L Duffy; Nicholas K Hayward; Nicholas G Martin; David C Whiteman
Journal:  Twin Res Hum Genet       Date:  2008-04       Impact factor: 1.587

10.  Consistency of reported tanning behaviors and sunburn history among sorority and fraternity students.

Authors:  Leslie K Dennis; Yoonsang Kim; John B Lowe
Journal:  Photodermatol Photoimmunol Photomed       Date:  2008-08       Impact factor: 3.135

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