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Journal of Behavioral Medicine

Erschienen in:

01.06.2010

A comparison of the efficacy of an appearance-focused skin cancer intervention within indoor tanner subgroups identified by latent profile analysis

verfasst von: Jerod Stapleton, Rob Turrisi, Joel Hillhouse, June K. Robinson, Beau Abar

Erschienen in: Journal of Behavioral Medicine | Ausgabe 3/2010

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Abstract

The reduction of intentional exposure to ultraviolet (UV) radiation is an important area of skin cancer prevention. Hillhouse et al. (Cancer 113:3257–3266, 2008) have developed an appearance-focused intervention with evidence of efficacy in lowering indoor tanning UV exposure in young women. In the current study, a subgroup approach was used to determine moderators of intervention efficacy. Undergraduate females in two regions of the United States (n = 362) were randomized into an intervention or control condition. Latent profile analysis was used to identify subgroups of indoor tanners based on patterns of indoor tanning motives. Intervention efficacy was examined within each subgroup. We found evidence for 4 subgroups of tanners: knowledgeable-appearance tanners, low-knowledge tanners, low-knowledge, relaxation tanners, and knowledgeable, low-appearance and low-relaxation tanners. The intervention significantly reduced indoor tanning for the low-knowledge subgroup (34% of the sample). The utility of the subgroup approach in developing targeted behavioral skin cancer interventions is discussed.

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Titel: A comparison of the efficacy of an appearance-focused skin cancer intervention within indoor tanner subgroups identified by latent profile analysis
verfasst von: Jerod Stapleton
Rob Turrisi
Joel Hillhouse
June K. Robinson
Beau Abar
Publikationsdatum: 01.06.2010
Verlag: Springer US
Erschienen in: Journal of Behavioral Medicine / Ausgabe 3/2010
Print ISSN: 0160-7715
Elektronische ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-009-9246-z

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A comparison of the efficacy of an appearance-focused skin cancer intervention within indoor tanner subgroups identified by latent profile analysis

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