Abstract
Context: The incidence of skin cancer, the most common type of cancer in the United States, is increasing. Sunburn is a major modifiable risk factor for skin cancer, and its prevalence among the US population is high.
Objectives: To identify predictors of having had a red or painful sunburn in the past 12 months among people living in Florida.
Methods: Florida residents were recruited from public places and online. They were asked to complete an anonymous cross-sectional survey that assessed demographic information, dermatologic history, as well as knowledge, attitude, and behavior factors associated with sunburn.
Results: A total of 437 participants whose data were complete for all variables were included in the multivariate analysis. In multivariate logistic regression, younger age (18-29 years) was the most significant predictor of sunburn (OR, 15.26; 95% CI, 5.97-38.98; P<.001). Other significant predictors included identifying as nonwhite (OR, 0.51; 95% CI, 0.29-0.90; P<.02), having had a full-body skin examination by a physician (OR, 1.8; 95% CI, 1.03-3.14; P<.04), reporting higher levels of skin sensitivity to the sun (OR, 4.63; 95% CI, 2.07-10.34; P<.001), having a less favorable attitude toward sun protection (OR, 0.88; 95% CI, 0.81-0.94; P<.001), having high perceived vulnerability to skin cancer (OR, 1.21; 95% CI, 1.05-1.41; P<.009), and spending less than 1 hour outside between 10 am and 4 pm on weekends (OR, 0.46; 95% CI, 0.22-0.96; P<.04). The model was statistically significant at P<.001 and correctly classified 78% of participants.
Conclusions: Sunburn prevention programs that osteopathic physicians can readily implement in clinical practice are urgently needed, particularly for young adult patients. This study identified 7 predictors of sunburn in Florida residents. With additional research findings, promoting attitude change toward sun protection may be a viable strategy.
The incidence of skin cancer in the United States increased from 2002 to 2011.
1 It is now the most common cancer in the country, with 5 million people receiving treatment each year.
2 Even more concerning is the rise in the incidence of melanoma, the type of skin cancer that carries the highest morbidity and mortality.
1,3 Skin cancer rates are elevated in states such as Florida, where the level of ultraviolet radiation (UVR) is among the highest in the country.
4,5 In the United States, the annual cost of treating patients with skin cancer is estimated at $8.1 billion.
1 Although it represents less than 2% of all cases of skin cancer, melanoma causes the majority of skin cancer deaths, and the cost of treating patients with melanoma exceeds $3 billion annually.
2 The annual productivity losses are estimated at $3.8 billion.
6 Skin cancer has become such a major public health issue that the US Surgeon General issued the first-ever Call to Action to Prevent Skin Cancer in 2014, urging all levels of society to mount efforts to prevent the disease.
7 Osteopathic physicians have historically played an important role in disease prevention and should be able to contribute greatly to the efforts in decreasing the incidence of skin cancer.
A number of well-established risk factors for skin cancer have been reported. These include male sex, fair skin and hair, freckling, history of sunburn, common or atypical nevi, personal or family history of melanoma, and UVR exposure from sunlight or tanning beds.
2,8 Among the modifiable (ie, nongenetic) risk factors, sunburn is easily preventable.
9 The risk of melanoma nearly doubles for people with a history of sunburn,
8-10 and 86% of melanomas can be attributed to exposure to UVR from the sun.
11 The risk of sunburn is particularly high among people who live in states such as Florida, which has a high percentage of sunny days and where many have prolonged sun exposure during recreation at beaches.
12
Despite the salience of sunburn to skin cancer risk, a limited number of studies have examined the factors associated with sunburn, a necessary first step toward developing preventive interventions. Two of the more important studies are secondary analyses of nationally representative US-based cross-sectional surveys.
13,14 Sunburn in the past 12 months was significantly associated with younger age, higher income, higher levels of education, and recent binge drinking.
13,14 Its association with white race, more sensitive skin type, family history of melanoma, being physically active, being overweight/obese, tanning indoors, and consuming alcohol was also statistically significant.
14 Analyses of national surveys are limited to the variables available in the datasets. These surveys did not measure knowledge and attitudinal factors associated with skin cancer and sun protective behaviors, sun exposure during the key hours of 10 am to 4 pm, or whether respondents had their skin examined by a physician or had done it themselves.
Because sunburn is preventable, it is critical to measure attitudinal and behavioral measures when examining the predictors of sunburn. Not only will this knowledge advance our basic understanding of the barriers to sun protection, but, more importantly, it will also contribute to the development of preventive interventions. This approach has been successfully used to modify other health-related behaviors, such as performing Pap smears and colonoscopies to screen for cervical and colorectal cancer, respectively, and promoting exercise and a healthy diet to potentially reduce cardiovascular disease and prevent cancer.
15-17 Although studies have included behavioral measures,
13,14 few have measured attitudinal factors. Rather than focusing on modifiable behaviors directly relevant to sunburn, such as use of sunscreen or hours spent in the sun, these studies assessed other less directly related behaviors, such as binge drinking and obesity.
The goal of the current study was to examine a more comprehensive set of factors associated with sunburn in a community sample of Florida residents as an initial step toward the development and implementation of interventions to prevent sunburn. This study extends past research by assessing dermatologically relevant variables, as well as knowledge, attitudes, and behaviors with regard to skin cancer and sun protection.
From February to April 2015, we recruited people from public places (eg, beaches, coffee shops, libraries, streets, university campuses) and online (e-mails, listservs, and posts on social media) to complete a 20-minute anonymous cross-sectional survey on paper or online after screening for eligibility. Eligible participants were those who resided in Florida, were aged 18 years or older, and spoke and understood English. Nova Southeastern University’s institutional review board approved the protocol as exempt in January 2015.
All eligible participants were informed that by completing the survey they were providing consent. At the end of the survey, participants were invited to provide an unlinked e-mail address to be entered into a raffle of 3 iPod Nano devices (Apple). Participants who completed the paper form wrote their e-mail address on a separate page; online participants were redirected to a different website to submit their e-mail address.
Of 619 Florida residents who were recruited, 437 (70.6%) whose data were complete for all variables were included in the multivariate analysis. Missing data were random; no patterns for missing data were identified. The characteristics of the sample are presented in
Table 1. The mean age of the sample was 40.7 years (range, 18-92 years; median, 34 years). More than 50% of the sample was white, employed, and college educated. The sample comprised 205 men (33.1%) and 412 women (66.6%). Two hundred thirty-one (37%) reported having had a red or painful sunburn that lasted a day or more in the past 12 months, and 265 (43%) reported having had a full-body skin examination by a physician. A previous diagnosis of any type of skin cancer was reported by 79 participants (12.8%), and melanoma was reported by 12 participants (2.75%). Participants had relatively strong knowledge regarding skin cancer and sun protection and awareness of skin cancer risk. Attitudes toward sun protection and perceived vulnerability to skin cancer were not as strong.
Table 1.
Sunburn Risk Among Adult Florida Residents: Sample Characteristics (N=619)
| Factor | No. (%)a |
| Age, y |
| 18-29 | 263 (42.8) |
| 30-59 | 217 (35.3) |
| ≥60 | 134 (21.8) |
| Sex |
| Male | 205 (33.1) |
| Female | 412 (66.6) |
| Race |
| White | 336 (56.0) |
| Nonwhite | 264 (44.0) |
| Highest Level of Education |
| High school diploma/GED | 166 (27.0) |
| Vocational degree | 25 (4.1) |
| Undergraduate college degree | 257 (41.9) |
| Master’s degree | 94 (15.3) |
| Doctorate degree | 72 (11.7) |
| Employment |
| Employed | 404 (65.8) |
| Unemployed | 210 (34.2) |
| Skin Sensitivity to Sun |
| Always or usually burns | 131 (27.5) |
| Sometimes or rarely burns | 246 (51.7) |
| Very rarely or never burns | 99 (20.8) |
| Painful Sunburn in Past 12 mob |
| Yes | 231 (37.4) |
| No | 387 (62.6) |
| Hours Outside, 10 am-4 pm |
| Weekday |
| ≤1 | 403 (65.1) |
| 2-3 | 144 (23.3) |
| ≥4 | 72 (11.6) |
| Weekend |
| ≤1 | 221 (35.7) |
| 2-3 | 242 (39.1) |
| ≥4 | 156 (25.2) |
| Use of Tanning Beds |
| Yes | 135 (21.9) |
| No | 481 (78.1) |
| Full-Body Skin Examination |
| By physician | |
| Yes | 265 (43.1) |
| No | 350 (56.9) |
| By self | |
| Yes | 192 (31.5) |
| No | 418 (68.5) |
| History of Skin Cancer |
| Personal | |
| Yes | 79 (12.8) |
| No | 539 (87.2) |
| Family | |
| Yes | 228 (37.1) |
| No | 386 (62.9) |
| Knowledge/Attitude/Behavior, mean (SD) score |
| Knowledge (maximum score, 18)c | 15.55 (2.16) |
| Awareness of skin cancer risk (maximum score, 40)d | 33.39 (4.11) |
| Attitudes toward sun protection (maximum score, 25)e | 14.41 (3.84) |
| Perceived vulnerability to skin cancer (maximum score, 10)f | 6.13 (1.84) |
| Sun protective behaviors (maximum score, 45)g | 28.77 (6.36) |
Table 1.
Sunburn Risk Among Adult Florida Residents: Sample Characteristics (N=619)
| Factor | No. (%)a |
| Age, y |
| 18-29 | 263 (42.8) |
| 30-59 | 217 (35.3) |
| ≥60 | 134 (21.8) |
| Sex |
| Male | 205 (33.1) |
| Female | 412 (66.6) |
| Race |
| White | 336 (56.0) |
| Nonwhite | 264 (44.0) |
| Highest Level of Education |
| High school diploma/GED | 166 (27.0) |
| Vocational degree | 25 (4.1) |
| Undergraduate college degree | 257 (41.9) |
| Master’s degree | 94 (15.3) |
| Doctorate degree | 72 (11.7) |
| Employment |
| Employed | 404 (65.8) |
| Unemployed | 210 (34.2) |
| Skin Sensitivity to Sun |
| Always or usually burns | 131 (27.5) |
| Sometimes or rarely burns | 246 (51.7) |
| Very rarely or never burns | 99 (20.8) |
| Painful Sunburn in Past 12 mob |
| Yes | 231 (37.4) |
| No | 387 (62.6) |
| Hours Outside, 10 am-4 pm |
| Weekday |
| ≤1 | 403 (65.1) |
| 2-3 | 144 (23.3) |
| ≥4 | 72 (11.6) |
| Weekend |
| ≤1 | 221 (35.7) |
| 2-3 | 242 (39.1) |
| ≥4 | 156 (25.2) |
| Use of Tanning Beds |
| Yes | 135 (21.9) |
| No | 481 (78.1) |
| Full-Body Skin Examination |
| By physician | |
| Yes | 265 (43.1) |
| No | 350 (56.9) |
| By self | |
| Yes | 192 (31.5) |
| No | 418 (68.5) |
| History of Skin Cancer |
| Personal | |
| Yes | 79 (12.8) |
| No | 539 (87.2) |
| Family | |
| Yes | 228 (37.1) |
| No | 386 (62.9) |
| Knowledge/Attitude/Behavior, mean (SD) score |
| Knowledge (maximum score, 18)c | 15.55 (2.16) |
| Awareness of skin cancer risk (maximum score, 40)d | 33.39 (4.11) |
| Attitudes toward sun protection (maximum score, 25)e | 14.41 (3.84) |
| Perceived vulnerability to skin cancer (maximum score, 10)f | 6.13 (1.84) |
| Sun protective behaviors (maximum score, 45)g | 28.77 (6.36) |
×
At the bivariate level, age, race, employment, skin sensitivity to the sun, hours spent outside between 10 am and 4 pm on weekdays and weekends, use of tanning beds, having had a full-body skin examination conducted by a physician, having a personal history of skin cancer, having a family history of skin cancer, attitudes toward sun protection, and perceived vulnerability to skin cancer were statistically significantly associated with sunburn. All were entered into the logistic regression analyses.
The final multivariate logistic regression model is presented in
Table 2. The associations of sunburn at the multivariate level with younger age, identifying as nonwhite, having had a full-body skin examination by a clinician, reporting higher levels of skin sensitivity to the sun, having less favorable attitudes toward sun protection, and having high perceived vulnerability to skin cancer were statistically significant. Participants who were aged 18 to 29 years were 15.3 times more likely and those aged 30 to 59 years were 5.82 times more likely to have been sunburned in the past 12 months than those aged 60 years or older. Participants with more favorable attitudes toward sun protection were 0.88 times less likely to have been sunburned than those with less favorable attitudes. Those with higher perceived vulnerability to skin cancer were 1.21 times more likely to have been sunburned than those with lower perceived vulnerability. The model was statistically significant at
P<.001 and correctly classified 341 participants (78%).
Table 2.
Multivariate Predictors of Sunburn Among Florida Residents in the Past 12 Months (N=619)
| Independent Variable | OR (95% CI) | P Value |
| Age, y |
| 18-29 | 15.26 (5.97-38.98) | <.001 |
| 30-59 | 5.82 (2.40-14.13) | <.001 |
| ≥60 (referent) | … | |
| Nonwhite Race | 0.51 (0.29-0.90) | .02 |
| Skin Sensitivity to Sun | … | |
| Always or usually burns | 4.63 (2.07-10.34) | <.001 |
| Sometimes or rarely burns | 3.08 (1.53-6.20) | .002 |
| Very rarely or never burns (referent) | … | |
| No. of Hours Outside, 10 am-4 pm (weekend) |
| ≤1 | 0.46 (0.22-0.96) | .04 |
| 2-3 | 0.87 (0.47-1.64) | |
| ≥4 (referent) | … | |
| Full-Body Skin Examination (physician) | 1.80 (1.03-3.14) | .04 |
| Knowledge/Attitude/Behavior |
| Attitudes toward sun protection | 0.88 (0.81-0.94) | .001 |
| Perceived vulnerability to skin cancer | 1.21 (1.05-1.41) | .009 |
Table 2.
Multivariate Predictors of Sunburn Among Florida Residents in the Past 12 Months (N=619)
| Independent Variable | OR (95% CI) | P Value |
| Age, y |
| 18-29 | 15.26 (5.97-38.98) | <.001 |
| 30-59 | 5.82 (2.40-14.13) | <.001 |
| ≥60 (referent) | … | |
| Nonwhite Race | 0.51 (0.29-0.90) | .02 |
| Skin Sensitivity to Sun | … | |
| Always or usually burns | 4.63 (2.07-10.34) | <.001 |
| Sometimes or rarely burns | 3.08 (1.53-6.20) | .002 |
| Very rarely or never burns (referent) | … | |
| No. of Hours Outside, 10 am-4 pm (weekend) |
| ≤1 | 0.46 (0.22-0.96) | .04 |
| 2-3 | 0.87 (0.47-1.64) | |
| ≥4 (referent) | … | |
| Full-Body Skin Examination (physician) | 1.80 (1.03-3.14) | .04 |
| Knowledge/Attitude/Behavior |
| Attitudes toward sun protection | 0.88 (0.81-0.94) | .001 |
| Perceived vulnerability to skin cancer | 1.21 (1.05-1.41) | .009 |
×
The American Osteopathic Association has identified 5 research focus areas that would have the greatest potential to affect patient care and demonstrate the value osteopathic physicians offer in these areas.
22 One focus area encompasses prevention, diagnosis, and management of diseases with high public health impact and for which osteopathic approaches can lead to improvements in patient outcomes and reduction in health care costs.
22 As rates of skin cancer continue to increase, it is important to launch directed efforts to prevent its occurrence. A possible approach is to develop tailored interventions that target modifiable risk factors such as sunburns. Identifying factors associated with sunburn, as reported in the current paper, is a critical first step toward the development of interventions.
The 37% prevalence of sunburn in our sample mirrors national prevalence estimates.
13,14 Prevalence rates for men (38.7%) and women (36.9%) were comparable in the current study; thus, no statistically significant bivariate differences by sex were found. It was surprising that neither knowledge nor engagement in sun protective behaviors was significantly associated with sunburn at the bivariate level. The association between knowledge and sunburn could have been attenuated, considering that the content of the knowledge items did not exclusively focus on sunburn prevention and other sun protective behaviors but also assessed knowledge of skin cancer. However, this was not the case for behaviors because the items directly assessed behaviors that would protect against sunburn.
Similar to previous reports,
13,14 younger age was the most statistically significant predictor of sunburn in the multivariate model. This consistent finding is particularly troubling given that melanoma is the most common type of all cancers for people aged 25 to 29 years and the second most common type of cancer for people aged 15 to 29 years.
23 It also suggests that existing sunburn prevention efforts are not reaching those most at risk, which points to the importance of developing prevention messages and programs tailored specifically to young adults. Innovative apps promoting sunburn protection that can be incorporated as part of routine clinical care could be developed. Messages from osteopathic physicians through texts, social media, or websites to disseminate this information to their patients may also be effective.
Interestingly, being nonwhite was a statistically significant predictor of sunburn. It could be that nonwhite participants may think that their darker skin protects them from sunburn and as a result do not practice sun-protective behaviors. Several dermatologically relevant factors, including skin sensitivity to the sun and having had a full-body skin examination by a physician were significantly associated with sunburn. Whereas some might argue that a full-body skin examination might reflect a tendency to engage in preventive behaviors overall and consequently should be inversely related to sunburn, it could also be that having had a severe sunburn might have prompted some participants to ask their clinicians for full-body skin examinations. Because a cross-sectional assessment does not elucidate temporal associations, it is not possible to differentiate whether the sunburn prompted the skin examination or whether negative results made patients overconfident. Neither lifetime history of using tanning beds nor having a personal or a family history of skin cancer diagnosis emerged as statistically significant predictors of sunburn in the final model.
Two attitudinal factors (attitude toward sun protection and perceived vulnerability to skin cancer) remained statistically significant in the final model. Participants with a less favorable attitude toward sun protection may not have strongly believed that sun-protective behavior is an important part of maintaining healthy skin. Participants with high perceived vulnerability to skin cancer may have been sunburned in the past but continue to get sunburned despite the risk of getting skin cancer.
Because it is modifiable, attitude toward sunburn and sun protection may be an effective target to reduce sunburns. This factor has not received widespread attention, possibly because a reliable and valid attitudinal measure related to sunburn and sun protection has yet to be developed. Constructing a reliable and valid attitudinal measure should be a research priority. The attitudinal measure used in the current study can be construed as an initial measurement step. All 3 factors had adequate internal consistency, which could be improved with item refinement and additional psychometric testing.
The cross-sectional design and the use of a convenience sample are 2 limitations of the current study. Despite these limitations, the prevalence rate was comparable to national estimates, suggesting that our sample was sufficiently broad. Although the survey was designed using previously published items, it was not a standardized measure. Thus, the psychometric properties of the attitudinal items might have attenuated the strength of the association.
The current study examined dermatologically relevant factors, as well as sunburn-specific knowledge, attitudes, and behaviors, in a sample that, by virtue of living in Florida, is at increased risk of sunburn. The findings highlight the urgency of developing tailored sunburn prevention programs, particularly aimed at young adults, who are at greatest risk. The link between attitudinal factors and sunburn history suggests that such programs might benefit from promoting changes in attitudes. An important focus of future research would be the development of standardized attitudinal measures that could yield more nuanced understanding of the associations with sunburn risk so that improved prevention methods could be developed and incorporated as a routine part of clinical practice.