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Volume 5:
No. 4, October 2008
ORIGINAL RESEARCH
Enforcement of State Indoor Tanning Laws in the United States
Joni A. Mayer, PhD, Katherine D. Hoerster, BA, Latrice C. Pichon, MPH, Debra A. Rubio, BA, Susan I. Woodruff, PhD, Jean L. Forster, PhD, MPH
Suggested citation for this article: Mayer JA, Hoerster KD, Pichon LC, Rubio DA, Woodruff SI, Forster JL. Enforcement of state indoor tanning laws in the United States. Prev Chronic Dis 2008;5(4).
http://www.cdc.gov/pcd/issues/2008/
oct/07_0194.htm. Accessed [date].
PEER REVIEWED
Abstract
Introduction
Twenty-eight US states have passed legislation for indoor tanning facilities. To our knowledge, whether these state laws are actually enforced has not been evaluated previously
in all 28 states. Therefore, we interviewed key informants in these states to assess enforcement practices.
Methods
Two trained interviewers used a structured survey instrument to interview 28 key informants who were knowledgeable about enforcement practices for laws regarding indoor tanning. Respondents provided information specific to the most populous city in their states.
Results
Licensure for indoor tanning businesses was required in 22 of the 28 cities. Slightly less than half of the cities gave citations to tanning facilities that violated state law. Approximately 32% of the cities did not inspect indoor tanning facilities for compliance with state law, and another 32% conducted inspections less than annually. Of those cities that inspected at all, most conducted unannounced inspections.
Conclusion
The relatively low rates of annual inspections and citations are of concern. We recommend that future studies assess whether legislation, enforcement practices, or a combination of the 2 affects the practices of indoor tanning facilities or of consumers.
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Introduction
Indoor tanning with UV radiation lamps has been linked to melanoma (1), squamous cell carcinoma (1), molecular damage associated with skin cancer (2), and other acute damage to eyes and skin (3,4). Commercial indoor tanning facilities are prevalent in the United States (5), and
“all-you-can-tan” discount pricing packages make indoor tanning inexpensive (6). The rates of indoor tanning for teen girls in the United States are high (7-10); in a national sample, approximately 40% of 17- to
18-year-old girls had used indoor tanning in the past year (7).
Some US states have passed legislation regulating indoor tanning facilities, with the intent of reducing risks to consumers.
Ongoing systematic updates on the number and content of these laws have been
provided, focusing on youth access restrictions (11-13). A recent report quantified the stringency of state indoor tanning legislation in the 28 states that had a state law as of 2006 (14). However, in order to assess the level at which the laws are implemented and the
effect of these laws on the industry and consumers, information about enforcement practices is needed. Consequently, we conducted telephone interviews of key informants in states with indoor tanning legislation to assess enforcement practices.
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Methods
Settings and participants
The CITY100 (Correlates of Indoor Tanning in Youth) project assesses factors that may influence use of indoor tanning by adolescents (10,14); 1 objective is to better understand current legislation that pertains to indoor tanning. In the current study, we targeted the most populous city in each of the 28 states to evaluate how state laws are enforced at the local level.
Our goal was to interview, by telephone, the person who was the most knowledgeable about enforcement practices in each city or county. From a list of contacts for each state’s legislation presented on a
Web site operated by the tanning industry (15), we telephoned these contacts (typically at the state or county health department) and asked them to identify the best key informant. The process for identifying each city’s respondent continued until we found a knowledgeable potential
respondent. We then mailed an introductory letter to each potential respondent that explained the purpose of the study and its voluntary nature and assured anonymity of the respondent and that data would not be linked to the city’s name in any published reports. Approximately 1 week after mailing the letter, we attempted to contact informants until we reached them and they completed the interview. The 2 interviewers (K.D.H. and L.C.P.) had previous experience in conducting telephone interviews
and received training for this study.
Survey
The survey questions were based on a combination of previous study in this area (16), expert opinion
about measuring enforcement activities in the tobacco control area (a good model for indoor tanning), and select enforcement and monitoring activities mentioned in the indoor tanning laws (14). Initially, we developed a longer version of the survey that asked for specific data on
various activities (eg, number of facilities inspected in the previous year, number of
complaints received). That version assumed a high level of inspection and other enforcement activities, assumed that enforcement agencies kept detailed records of those activities, and requested that informants obtain that information before the interview and provide it during the interview. During the informant identification process, we became aware that the level of enforcement activities was fairly low. Therefore, to better match the depth of our assessment to actual practices,
reduce the amount of work required of respondents, and achieve a higher response rate, we retained only the basic items and eliminated the more elaborate, labor-intensive items.
The following factors were assessed: number of staff allocated to carry out enforcement activities in the city/county; whether indoor tanning businesses were required to have a license; frequency of inspections (in absence of a complaint); whether inspections were announced in advance; whether inspection included review of customer records and, if so, whether customer’s age, parental consent forms, number and dates of tanning sessions, and duration of sessions were examined; and whether
businesses received citations when they violated the law. We also assessed the types of penalties for selling sessions to underage youth or not obtaining parental permission for minors and whether graduated penalties (more severe penalties for each successive violation) were used. A copy of the survey is provided in the
Appendix.
A draft of the survey was reviewed for clarity by 2 public health department professionals. All survey procedures and materials were approved by the institutional review board at San Diego State University. Interviews were conducted in April and May of 2007.
Statistical analysis
Descriptive statistics, including frequencies or means, were computed for each variable. Additionally, we conducted bivariate tests (χ2 and correlations) to assess the associations between the stringency of the written law (14) and reported enforcement practices. Specifically, we examined the relationship between reported inspection frequency and overall law stringency score, youth access subscore, enforcement subscore, and 1 individual inspection item. For the items about
penalties specific to youth access, we computed frequencies for only the 21 cities in states with youth access laws. We did not perform multivariate tests because of the small sample size. All analyses were conducted in SPSS 13.0 (SPSS Inc, Chicago, Illinois).
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Results
Response rates and respondent characteristics
We identified 28 respondents (1 for the most populous city in each of the 28 targeted states) who confirmed that they were knowledgeable about enforcement practices. Data were obtained for all 28 cities. If respondents told the interviewer that their states had no law (n = 5) or that the cities engaged in no enforcement activities (n = 2), the interviewer contacted additional informants to confirm that laws were not enforced. The interviewer then coded the
remaining survey items to indicate nonperformance of enforcement activities.
Enforcement resources and practices
More than three-fourths of the respondents were employed by a state or local health agency (Table 1). The organizations that employed the respondents also constituted the primary enforcement entity for the state indoor tanning legislation in the designated city.
The number of full-time employees available for inspections and other enforcement activities ranged from 0 to 15, with a mean of 3.29 (standard deviation 3.89) staff and a median of 2. Approximately 29% of the cities had no full-time enforcement staff (Table 2). Licensure for indoor tanning businesses was required in most cities. Slightly less than half of the cities gave citations (ie, penalties) to tanning facilities that violated the state law. Approximately 32% of the cities did not
inspect indoor tanning facilities for compliance with the state law, and another 32% conducted inspections less than annually. Of those cities that inspected, most conducted unannounced inspections.
Of the 19 cities that conducted inspections, most reviewed customer records as part of the inspection process. Of these, most reviewed information about customers’ ages, parental consent forms, number and dates of tanning sessions, and tanning session duration (Table 3).
Of the 21 cities in states that had youth access laws, approximately half penalized these violations (Table 4). Warnings, monetary fines, and license suspensions were used for both
kinds of youth access violations, with no strong predominance by type of penalty. Of the cities that penalized violations, most gave graduated penalties for each of the youth access–related violations, in which each additional violation results in a larger penalty.
Bivariate associations
We conducted Pearson correlational tests between inspection frequency and the variables from
an earlier assessment of state indoor tanning laws (14). These correlations (N = 28) were 0.51 (P = .006) for enforcement subscore, 0.34 (P = .075) for minor’s access stringency subscore, and 0.58 (P = .001) for overall law stringency score. Reported inspection frequency was positively correlated with the number of full-time enforcement staff reported by the respondent
(r = 0.48, P = .011). We then dichotomized reported inspection frequency (less than annually vs at least annually) and the individual inspection item score from
the earlier analysis of state laws (less strict vs more strict). These variables were significantly associated (χ2 = 5.18, P = .023). Of cities whose laws on inspections were less strict (n = 21), only 23.8% conducted inspections at least annually. Of those whose inspection requirement was stricter (n =
7), 71.4% conducted inspections at least annually. A license requirement in the written law was significantly associated with actual (self-reported) license requirement (χ2 = 5.06, P = .024). In cities in which the state law did not mention licensure (n = 6), 50% required licensure, whereas in cities whose law mentioned licensure (n = 21), 90.5% required licensure.
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Discussion
To our knowledge, this article is 1 of only 3 to report actual enforcement practices related to state indoor tanning laws (16,17) and the only article to date that provides enforcement information for all 28 states. Our data indicate that routine annual inspections, which are a prerequisite for other enforcement activities such as levying penalties for violations, are not conducted in 64% of the cities. However, for those cities that conduct regular inspections, most conduct unannounced
inspections, which likely increases their effectiveness. Additionally, the annual inspections routinely included review of client records and encompassed information that may reflect UV radiation exposure levels (eg, duration and frequency of sessions) and youth access (eg, customer age and parental consent forms). Thus, the annual inspections appear to be of high quality. The relationship between inspection frequency and staffing level suggests that cities that do not conduct annual
inspections need more resources. However, we cannot infer causality because of the study’s cross-sectional design. Results from a study of sanitarians within 1 large metropolitan area in both Massachusetts (21 municipalities of Boston) and Minnesota (21 jurisdictions of the Twin Cities) indicated the rates of routine inspections by Massachusetts agencies were higher than those in Minnesota (89.9% vs 28.6%) (16). Responses from state health department staff in Texas, Illinois,
and Wisconsin showed a large amount of variability (for each state as a whole) on both penalties to facilities for youth access violations and facility inspection/auditing practices (17).
The low rates of penalizing any violation and youth access violations are also cause for concern.
As is the case with enforcement activities regarding tobacco and alcohol control, businesses are less likely to comply with age-of-sale laws if noncompliance is not penalized (18,19).
The strong association between various aspects of the law and enforcement activities is encouraging. However, in the 7 states with more stringent inspection requirements, the inspection requirements tended to overestimate the actual level of inspections. Moreover, 5 respondents incorrectly reported that their states, at the time of the interview, had no law on indoor tanning. Therefore, even though some states had laws, they were not being enforced even minimally.
One limitation of this study is that the data were based on the report of enforcement professionals, and we did not attempt to verify them with other measures such as interviews with tanning facility managers. Although we assured their anonymity, respondents may have overreported enforcement practices. Second, we used the most populous city in each state to represent enforcement of the state law, so our findings may not generalize to other cities and rural areas in each state. Initially, in
18 of the 28 states, we interviewed participants about the enforcement practices of at least 1 additional large city in that state. However, because the key enforcement practices were almost perfectly consistent between cities in each state, we ultimately used the
“largest city in state” approach. That experience leads us to believe that the data for each city generalize to other large cities in each state. Finally, we neglected to ask about each state’s licensing fees, if any; such fees
could help fund enforcement activities (20).
Strengths of our study included an optimal response rate and our access to reliable data on the stringency of each state’s law (14). These data facilitated comparisons between
“ideal” and “real” enforcement activities. As noted earlier, we promised respondents that we would not link published data to individuals or cities; this assurance of anonymity
probably improved both our response rate and the accuracy of the data. Even though we are unable to reveal which states
were enforcing at lower levels, we will be providing each respondent with feedback on how
the city’s enforcement level compares with enforcement for all other cities combined. For states in which enforcement is low, the feedback may increase enforcement practices.
In tobacco control, antitobacco organizations historically focused their efforts on passing new laws, but enforcement of existing laws is viewed by many to have been critical to reducing tobacco use (21-26). In the field of indoor tanning legislation, we cannot say whether legislation, enforcement practices, or a combination of the 2 has any effect on the practices of indoor tanning facilities or of consumers. Therefore, we recommend that future evaluations of indoor tanning
legislation measure not only the written law but also its implementation and enforcement; research should also attempt to assess the relationship between legislation strictness/enforcement level and the practices of businesses and consumers, especially adolescent consumers.
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Acknowledgments
This study was supported by the National Cancer Institute, grants R01 CA093532, R01 CA093532S1, and K05 100051. The following were partially responsible for study concept and design: Dr George Belch, Dr James Sallis, Dr Donald Slymen, Ms Elizabeth Clapp, and Ms Rebecca Garrow, San Diego State University; Dr Todd Gilmer, University of California Medical School, San Diego; and Dr Martin Weinstock, Veterans Administration Medical Center and Brown University. We thank Ms Lorri Freitas of the San
Diego County Health and Human Services Agency and Dr Donald Bishop of the Minnesota Department of Health for valuable feedback on the survey instrument and the survey participants for their time and effort.
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Author Information
Corresponding Author: Joni A. Mayer, PhD, Graduate School of Public Health, San Diego State University, 9245 Sky Park Ct, Ste 220, San Diego, CA 92123. Telephone: 619-594-7916. E-mail: jmayer@mail.sdsu.edu.
Author Affiliations: Katherine D. Hoerster, Joint Doctoral Program in Clinical Psychology, Latrice C. Pichon, Joint Doctoral Program in Public Health, Health Behavior, San Diego State University/University of California, Debra A. Rubio, Susan I. Woodruff, School of
Social Work, San Diego State University, San Diego, California; Jean L. Forster, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
At the time of this research, Susan I. Woodruff was affiliated with the Graduate
School of Public Health, San Diego State University, San Diego, California.
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