Jaya M Satagopan1, Susan A Oliveria2, Arshi Arora3, Michael A Marchetti4, Irene Orlow3, Stephen W Dusza4, Martin A Weinstock5, Alon Scope6, Alan C Geller7, Ashfaq A Marghoob4, Allan C Halpern4. 1. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY. Electronic address: satagopj@mskcc.org. 2. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY. 3. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY. 4. Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY. 5. Dermatoepidemiology Unit, VA Medical Center, Providence, RI; Department of Dermatology, Rhode Island Hospital, Providence, RI; Department of Dermatology, Brown University, Providence, RI; Department of Epidemiology, Brown University, Providence, RI. 6. Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Dermatology, Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. 7. Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA.
Abstract
PURPOSE: To examine the joint effect of sun exposure and sunburn on nevus counts (on the natural logarithm scale; log nevi) and the role of sun sensitivity. METHODS: We describe an analysis of cross-sectional data from 443 children enrolled in the prospective Study of Nevi in Children. To evaluate the joint effect, we partitioned the sum of squares because of interaction between sunburn and sun exposure into orthogonal components representing (1) monotonic increase in log nevi with increasing sun exposure (rate of increase of log nevi depends on sunburn), and (2) nonmonotonic pattern. RESULTS: In unadjusted analyses, there was a marginally significant monotonic pattern of interaction (P = .08). In adjusted analyses, sun exposure was associated with higher log nevi among those without sunburn (P < .001), but not among those with sunburn (P = .14). Sunburn was independently associated with log nevi (P = .02), even though sun sensitivity explained 29% (95% confidence interval: 2%-56%, P = .04) of its effect. Children with high sun sensitivity and sunburn had more nevi, regardless of sun exposure. CONCLUSIONS: A program of increasing sun protection in early childhood as a strategy for reducing nevi, when applied to the general population, may not equally benefit everyone.
PURPOSE: To examine the joint effect of sun exposure and sunburn on nevus counts (on the natural logarithm scale; log nevi) and the role of sun sensitivity. METHODS: We describe an analysis of cross-sectional data from 443 children enrolled in the prospective Study of Nevi in Children. To evaluate the joint effect, we partitioned the sum of squares because of interaction between sunburn and sun exposure into orthogonal components representing (1) monotonic increase in log nevi with increasing sun exposure (rate of increase of log nevi depends on sunburn), and (2) nonmonotonic pattern. RESULTS: In unadjusted analyses, there was a marginally significant monotonic pattern of interaction (P = .08). In adjusted analyses, sun exposure was associated with higher log nevi among those without sunburn (P < .001), but not among those with sunburn (P = .14). Sunburn was independently associated with log nevi (P = .02), even though sun sensitivity explained 29% (95% confidence interval: 2%-56%, P = .04) of its effect. Children with high sun sensitivity and sunburn had more nevi, regardless of sun exposure. CONCLUSIONS: A program of increasing sun protection in early childhood as a strategy for reducing nevi, when applied to the general population, may not equally benefit everyone.
Authors: Elizabeth Milne; Robyn Johnston; Donna Cross; Billie Giles-Corti; Dallas R English Journal: Am J Epidemiol Date: 2002-04-15 Impact factor: 4.897
Authors: Anna E Barón; Nancy L Asdigian; Victoria Gonzalez; Jenny Aalborg; Tamara Terzian; Regan A Stiegmann; Enrique C Torchia; Marianne Berwick; Robert P Dellavalle; Joseph G Morelli; Stefan T Mokrohisky; Lori A Crane; Neil F Box Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-12 Impact factor: 4.254
Authors: Athena T Dodd; Joseph Morelli; Stefan T Mokrohisky; Nancy Asdigian; Tim E Byers; Lori A Crane Journal: Cancer Epidemiol Biomarkers Prev Date: 2007-10 Impact factor: 4.254
Authors: Kelly J Pettijohn; Nancy L Asdigian; Jenny Aalborg; Joseph G Morelli; Stefan T Mokrohisky; Robert P Dellavalle; Lori A Crane Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-02-03 Impact factor: 4.254
Authors: Susan A Oliveria; Jaya M Satagopan; Alan C Geller; Stephen W Dusza; Martin A Weinstock; Marianne Berwick; Marilyn Bishop; Maureen K Heneghan; Allan C Halpern Journal: Am J Epidemiol Date: 2008-11-10 Impact factor: 4.897
Authors: Alon Scope; Michael A Marchetti; Ashfaq A Marghoob; Stephen W Dusza; Alan C Geller; Jaya M Satagopan; Martin A Weinstock; Marianne Berwick; Allan C Halpern Journal: J Am Acad Dermatol Date: 2016-06-17 Impact factor: 11.527