| Literature DB >> 25215240 |
Rebecca G Simmons1, Kristi Smith1, Meghan Balough1, Michael Friedrichs1.
Abstract
Introduction. Adolescent use of indoor tanning facilities is associated with an increased risk in later development of melanoma skin cancers. States that have imposed age restrictions on access to indoor tanning generally show lower self-reported rates of indoor tanning than states with no restrictions, but currently no studies have assessed indoor tanning use before and after such restrictions. Methods. In 2013, we compared self-reported indoor tanning data collected in the Prevention Needs Assessment (PNA) survey in 2011 to PNA 2013 data. We also assessed predictors of continued tanning after passage of the bill. Results. Prior to the passage of Senate Bill 41, 12% of students reported at least one incident of indoor tanning in the past 12 months. After passage, only 7% of students reported indoor tanning in the past 12 months (P < 0.0001). Students who continued indoor tanning were more likely to be older and female and to engage in other risk behaviors, including smoking and alcohol use. Lower parental education levels were also associated with continued tanning. Conclusion. Indoor tanning restrictions showed beneficial impact on tanning rates in adolescents in Utah. Stricter restrictions may show even greater impact than restrictions that allow for parental waivers. Stronger enforcement of bans is needed to further reduce youth access.Entities:
Year: 2014 PMID: 25215240 PMCID: PMC4158105 DOI: 10.1155/2014/839601
Source DB: PubMed Journal: J Skin Cancer ISSN: 2090-2913
Comparisons in self-reported indoor tanning between PNA surveys 2011–2013 before and after passage of SB 41.
| 2011 totala | 2011 indoor tanned | 2013 totala | 2013 indoor tanned | Chi-square |
| |
|---|---|---|---|---|---|---|
| Sex | ||||||
| Female | 8,316 | 1420 (17.6%) | 8004 | 882 (11.7%) | 10.2 | 0.002 |
| Male | 7,293 | 442 (6.4%) | 7180 | 276 (3.8%) | 9.64 | 0.002 |
| Combined | 15,609 | 1862 (12%) | 15,184 | 1158 (7.7%) | 11.37 | <0.0001 |
| Grade Level | ||||||
| 8th grade | 6,035 | 332 (5.2%) | 6,186 | 228 (3.3%) | 7.8 | 0.005 |
| 10th grade | 5,389 | 669 (11.9%) | 5,069 | 417 (7.4%) | 8.9 | 0.003 |
| 12th grade | 4,187 | 861 (19.6%) | 3,970 | 516 (12.6%) | 9.1 | 0.003 |
| Race/ethnicity | ||||||
| American Indian | 512 | 58 (9.8%) | 501 | 38 (6.7%) | 1.8 | 0.18 |
| Asian | 462 | 31 (5.9%) | 517 | 33 (6.4%) | 0.53 | 0.82 |
| Black | 399 | 39 (8.1%) | 422 | 23 (4.7%) | 2.35 | 0.13 |
| Hispanic | 2,061 | 146 (6.9%) | 2,347 | 114 (4.5%) | 5.43 | 0.02 |
| Pacific Islander | 415 | 33 (7.1%) | 424 | 26 (5.8%) | 0.32 | 0.57 |
| White | 12,724 | 1,657 (13.3%) | 12,242 | 1,009 (8.5%) | 11.35 | <0.0001 |
| Substance use | ||||||
| Smoked in past 30 days | 823 | 233 (30.6%) | 620 | 126 (19.7%) | 7.53 | 0.006 |
| Did not smoke in past 30 days | 14,701 | 1,625 (11%) | 14,533 | 1,029 (7.2%) | 10.94 | 0.001 |
| Drank alcohol within past 30 days | 1,759 | 464 (26.4%) | 1,387 | 268 (19.2%) | 11.8 | <0.0001 |
| Did not drink within the past 30 days | 13,746 | 1,386 (10.2%) | 13,704 | 876 (6.5%) | 10.92 | 0.0010 |
| Body weight status | ||||||
| Normal weight | 12,655 | 1,620 (12.9%) | 11,255 | 924 (8.3%) | 11.03 | 0.001 |
| Obese (>95th percentile for weight) | 1,068 | 55 (6.1%) | 1123 | 60 (6.3%) | 0.015 | 0.901 |
| Parental education level | ||||||
| <High school | 822 | 81 (11.3%) | 902 | 60 (7.5%) | 2.98 | 0.09 |
| High school graduate | 2,166 | 311 (14.8%) | 2,128 | 217 (10.5%) | 6.17 | 0.01 |
| Some college | 2,657 | 370 (14%) | 2,524 | 227 (8.4%) | 7.36 | 0.007 |
| Bachelor degree | 5,781 | 642 (11.1%) | 5,453 | 387 (7%) | 8.73 | 0.003 |
| Graduate degree | 2,471 | 301 (12%) | 2,457 | 154 (6.7%) | 9.01 | 0.003 |
| Local health district | ||||||
| Bear River | 1,745 | 198 (11.7%) | 1,773 | 134 (7.5%) | 3.34 | 0.07 |
| Central | 1,007 | 163 (15.9%) | 964 | 111 (11.5%) | 2.51 | 0.11 |
| Davis | 1,678 | 200 (13.5%) | 590 | 51 (8.2%) | 4.51 | 0.03 |
| Salt Lake | 3,984 | 393 (10.1%) | 4,197 | 263 (6.6%) | 7.35 | 0.007 |
| Southeast | 559 | 54 (8.3%) | 597 | 57 (9.8%) | 0.45 | 0.49 |
| Southwest | 1,065 | 156 (14%) | 1,290 | 140 (9.7%) | 2.95 | 0.09 |
| Summit | 424 | 50 (11.6%) | 477 | 25 (5.3%) | 4.02 | 0.05 |
| Tooele | 855 | 90 (10.8%) | 993 | 74 (7.8%) | 1.78 | 0.18 |
| Tri-County | 432 | 71 (19.7%) | 433 | 45 (12.3%) | 1.85 | 0.17 |
| Utah County | 2,177 | 274 (11.7%) | 2,427 | 135 (6.7%) | 5.02 | 0.03 |
| Wasatch | 321 | 40 (12.9%) | 278 | 24 (9.5%) | 0.58 | 0.44 |
| Weber-Morgan | 1,364 | 173 (14.5%) | 1,206 | 102 (9.7%) | 2.36 | 0.12 |
PNA: Prevention Needs Assessment survey; SB 41: Senate Bill 41, Utah 2012 [15].
aData provided in the table have been weighted to account for the probability of selection and the distribution of students by sex, grade, and race/ethnicity using iterative proportional fitting.
Predictors of adolescent self-reported indoor tanning in the PNA after passage of SB 41.
| Variable | Odds ratio | 95% confidence interval |
|---|---|---|
| Sex | ||
| Male | Referent | Referent |
| Female | 3.72 | 3.05, 4.55 |
| Grade level | ||
| 8th grade | Referent | Referent |
| 10th grade | 2.16 | 1.64, 2.84 |
| 12th grade | 3.95 | 3.05, 5.15 |
| Race/ethnicity | ||
| Non-white or Hispanic | 0.46 | 0.34, 0.63 |
| White | Referent | Referent |
| Parent education level | ||
| Less than college education | Referent | Referent |
| College graduate | 0.78 | 0.65, 0.94 |
| Alcohol use | ||
| No alcohol within 30 days | Referent | Referent |
| Drank alcohol within 30 days | 2.90 | 2.23, 3.78 |
| Local health district | ||
| Bear River | 1.18 | 0.87, 1.60 |
| Central | 1.76 | 1.30, 2.39 |
| Davis | 1.34 | 1.01, 1.76 |
| Salt Lake | Referent | Referent |
| Southeast | 1.37 | 0.98, 1.91 |
| Southwest | 1.45 | 1.03, 2.03 |
| Summit | 0.57 | 0.39, 0.83 |
| Tooele | 1.07 | 0.72, 1.58 |
| Tri-County | 1.43 | 0.79, 2.60 |
| Utah County | 1.03 | 0.74, 1.45 |
| Wasatch | 1.24 | 1.04, 1.49 |
| Weber-Morgan | 1.31 | 1.00, 1.71 |
PNA: Prevention Needs Assessment survey; SB 41: Utah Senate Bill 41 (2012) [15].