| Title |
An integrated model of skin cancer risk in sexual minority males
|
|---|---|
| Published in |
Journal of Behavioral Medicine, August 2017
|
| DOI | 10.1007/s10865-017-9879-2 |
| Pubmed ID | |
| Authors |
Aaron J. Blashill, Benjamin M. Rooney, Kristen J. Wells |
| Abstract |
Sexual minority males are an at-risk group for developing skin cancer. Elevated rates of skin cancer among this population are thought to be driven by excess indoor tanning; however, motivations to indoor tan among this population are unknown. Theoretically, appearance-based and affect regulation motives may be proximal predictors of increased indoor tanning in this population. The current study tests an integrated biopsychosocial model of indoor tanning behaviors and future intentions among a sample of sexual minority males. Participants were 231 sexual minority males, between the age of 14 and 35 years, residing in San Diego County, California, who completed a battery of self-report questionnaires online. Constructs assessed included skin tone, perceived susceptibility to skin cancer, sociocultural pressures to tan, appearance-based motives to tan, affect regulation in regard to indoor tanning, indoor tanning behaviors over the previous 3 months, and future intentions to indoor tan. The three proposed proximal predictors of indoor tanning all displayed significant pathways; however, results varied depending upon the specific outcome measure modeled. Affect regulation was significantly associated with increased odds of indoor tanning, and future intentions to indoor tan. Increased appearance reasons to tan were significantly associated with future intentions to indoor tan, while increased appearance reasons not to tan were significantly associated with fewer number of indoor tanning sessions. Results underscore the unique pathways of affect regulation and appearance-based motives in indoor tanning behaviors. Skin cancer prevention programs focusing on sexual minority males may wish to address affect and appearance concerns. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 6 | 14% |
| Researcher | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 15 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 23% |
| Medicine and Dentistry | 7 | 16% |
| Nursing and Health Professions | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 5% |
| Computer Science | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 August 2017.
All research outputs
#14,064,165
of 23,312,088 outputs
Outputs from Journal of Behavioral Medicine
#743
of 1,088 outputs
Outputs of similar age
#151,923
of 288,409 outputs
Outputs of similar age from Journal of Behavioral Medicine
#11
of 13 outputs
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