Literature DB >> 19190171

Assessment of lifetime cumulative sun exposure using a self-administered questionnaire: reliability of two approaches.

Chu-Ling Yu1, Yan Li, D Michal Freedman, Thomas R Fears, Richard Kwok, Gabriel Chodick, Bruce Alexander, Michael G Kimlin, Anne Kricker, Bruce K Armstrong, Martha S Linet.   

Abstract

Few studies have evaluated the reliability of lifetime sun exposure estimated from inquiring about the number of hours people spent outdoors in a given period on a typical weekday or weekend day (the time-based approach). Some investigations have suggested that women have a particularly difficult task in estimating time outdoors in adulthood due to their family and occupational roles. We hypothesized that people might gain additional memory cues and estimate lifetime hours spent outdoors more reliably if asked about time spent outdoors according to specific activities (an activity-based approach). Using self-administered, mailed questionnaires, test-retest responses to time-based and to activity-based approaches were evaluated in 124 volunteer radiologic technologist participants from the United States: 64 females and 60 males 48 to 80 years of age. Intraclass correlation coefficients (ICC) were used to evaluate the test-retest reliability of average number of hours spent outdoors in the summer estimated for each approach. We tested the differences between the two ICCs, corresponding to each approach, using a t test with the variance of the difference estimated by the jackknife method. During childhood and adolescence, the two approaches gave similar ICCs for average numbers of hours spent outdoors in the summer. By contrast, compared with the time-based approach, the activity-based approach showed significantly higher ICCs during adult ages (0.69 versus 0.43, P = 0.003) and over the lifetime (0.69 versus 0.52, P = 0.05); the higher ICCs for the activity-based questionnaire were primarily derived from the results for females. Research is needed to further improve the activity-based questionnaire approach for long-term sun exposure assessment.

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Year:  2009        PMID: 19190171      PMCID: PMC2746098          DOI: 10.1158/1055-9965.EPI-08-0894

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


  26 in total

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Journal:  J Expo Anal Environ Epidemiol       Date:  2001 May-Jun

Review 5.  The epidemiology of UV induced skin cancer.

Authors:  B K Armstrong; A Kricker
Journal:  J Photochem Photobiol B       Date:  2001-10       Impact factor: 6.252

6.  The measurement of observer agreement for categorical data.

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7.  A dose-response curve for sun exposure and basal cell carcinoma.

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Authors:  D M Freedman; M Dosemeci; K McGlynn
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9.  Cancer incidence in the US radiologic technologists health study, 1983-1998.

Authors:  Alice J Sigurdson; Michele Morin Doody; R Sowmya Rao; D Michal Freedman; Bruce H Alexander; Michael Hauptmann; Aparna K Mohan; Shinji Yoshinaga; Deirdre A Hill; Robert Tarone; Kiyohiko Mabuchi; Elaine Ron; Martha S Linet
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10.  Past exposure to sun, skin phenotype, and risk of multiple sclerosis: case-control study.

Authors:  I A F van der Mei; A-L Ponsonby; T Dwyer; L Blizzard; R Simmons; B V Taylor; H Butzkueven; T Kilpatrick
Journal:  BMJ       Date:  2003-08-09
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Journal:  Int J Cancer       Date:  2010-11-16       Impact factor: 7.396

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Authors:  D Michal Freedman; Michael G Kimlin; Richard W Hoffbeck; Bruce H Alexander; Martha S Linet
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Review 4.  Melanoma epidemiology.

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5.  Assessment of sunlight exposure across industries and occupations using blood vitamin D as a biomarker.

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6.  Association of Sun Exposure, Skin Colour and Body Mass Index with Vitamin D Status in Individuals Who Are Morbidly Obese.

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  6 in total

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