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. Author manuscript; available in PMC: 2021 May 1.
Published in final edited form as: Prev Med. 2020 Mar 3;134:106047. doi: 10.1016/j.ypmed.2020.106047

Incidence and Public Health Burden of Sunburn among Beachgoers in the United States.

Stephanie DeFlorio-Barker 1, Dawn Holman 2, Robert Landolfi 3, Benjamin F Arnold 4, John M Colford Jr 5, Stephen B Weisberg 6, Kenneth C Schiff 7, Elizabeth A Sams 8, Timothy J Wade 9
PMCID: PMC7271251  NIHMSID: NIHMS1574754  PMID: 32142856

Abstract

The beach environment creates many barriers to effective sun protection, putting beachgoers at risk for sunburn, a well-established risk factor for skin cancer. Our objective was to estimate incidence of sunburn among beachgoers and evaluate the relationship between sunburn incidence and sun-protective behaviors. A secondary analysis, of prospective cohorts at 12 locations within the U.S. from 2003–2009 (n=75,614), were pooled to evaluate sunburn incidence 10–12 days after the beach visit. Behavioral and environmental conditions were cross-tabulated with sunburn incidence. Multivariable logistic regression was used to estimate the association between new sunburn and sun-protective behaviors. Overall, 13.1% of beachgoers reported sunburn. Those aged 13–18 years (16.5%), whites (16.0%), and those at beach locations along the Eastern Seaboard (16.1%), had the highest incidence of sunburn. For those spending ≥5 hours in the sun, the use of multiple types of sun protection reduced odds of sunburn by 55% relative to those who used no sun protection (Odds Ratio=0.45 (95% Confidence Interval:0.27–0.77)) after adjusting for skin type, age, and race. Acute health effects of sunburn tend to be mild and self-limiting, but potential long-term health consequences are more serious and costly. Efforts to encourage and support proper sun-protective behaviors, and increase access to shade, protective clothing, and sunscreen, can help prevent sunburn and reduce skin cancer risk among beachgoers.

Keywords: Sunburn, sun-protective behaviors, beach

Introduction

The number of U.S. adults treated for skin cancer each year has increased rapidly.1 Between 2007–2011, almost 5 million adults were treated annually for skin cancer, at an estimated cost of over $8 billion.1 Skin cancer is a growing, but preventable, public health concern.2 Identifying factors associated with the development of sunburn, an important risk factor for skin cancer,2,3 can help to inform sun-safety interventions, which may aid in reducing the incidence of skin cancer.

Sunburn is a biologic indicator of skin damage from ultraviolet radiation (UVR) exposure and is influenced by the intensity of a person‟s UVR exposure and their sensitivity to such exposure.4,5 Each year, approximately one-third of U.S. adults6 and over half of U.S. high school students7 get at least one sunburn. In 2013, almost 34,000 people in the U.S. had sunburn severe enough to seek treatment in an emergency department (ED), resulting in an estimated cost of $11.2 million.8

Beach visitation is a prominent mechanism for incurring sunburn, with one study estimating that 15% of beachgoers report sunburn in a single beach visit.9 Approximately 43% of Americans aged 16 years and older visited a beach for an average of 11 days each year during 2005–2009.10 Using a combination of sun protection strategies when spending time outdoors, including staying in the shade, wearing protective clothing, a wide-brimmed hat, sunglasses, and using sunscreen, can minimize skin damage from the sun.2,11 However, sun protection adequate to avoid sunburn can be challenging in beach settings. Beaches are often visited during times when the UV Index is high,12 and beachgoers frequently engage in activities that can create additional barriers to adequate protection. For example, sand and water reflect UVR, potentially increasing exposure and reducing the amount of protection conferred by shade structures,13 and water-related activities can often cause sunscreen to wash off.14

The primary aim of this study was to quantify the incidence of new sunburn over a 10–12 day period among beachgoers in 12 large prospective cohorts (n=75,614) and compare incidence across demographic characteristics and other factors. These studies were conducted using similar methodology1520 and were combined, as has been described previously.21 The secondary aim of this study was to evaluate the relationship between the odds of incident sunburn and sun protective behaviors.

Methods

The current study, involved a secondary analysis of data from prospective cohort studies at 12 locations within the U.S. from 2003–2009, which have been previously described21 (Figure S1). Four cohorts were at freshwater beaches in the Midwest (n=21,015), two were along the Eastern Seaboard (n=14,136), two were in the Gulf Coast (n=3,373), three were in Southern California (n=8,797), and one was at tropical beach in Puerto Rico (n=15,726). The primary purpose of these prospective cohort studies was to examine swimming-associated gastrointestinal illness among beachgoers. However, beachgoers also answered questions about sunburn and sun protection behaviors.

All studies followed similar protocols and questionnaires. Eligible household members who agreed to participate provided informed consent and were enrolled between May and September during the study years. Institutional Review Board approval was obtained from the University of North Carolina-Chapel Hill; the University of California, Berkeley; and the Centers for Disease Control and Prevention. One adult member of each household responded to questions for the entire household 10–12 days after the beach interview. Procedures for recruitment and survey administration have been described previously.21

One member of each participating household answered questions for themselves and all other household members. The baseline interview was conducted at the beach and included a question regarding whether any of the household members had been sunburned in the past three days. Those who had been sunburned at the time of the baseline interview were excluded from the analyses. A follow-up interview was conducted by phone 10–12 days after the baseline interview. Participants were asked, “has anyone in the household had a sunburn since the interview at {BEACH} on {beach interview date}.” If answered in the affirmative, the question was followed with questions about which household members had a sunburn and where on their body the sunburn occurred. As a sensitivity analysis, we also incorporated the reported date of sunburn symptom onset, which was reported only among beachgoers in Southern California.

We focused on assessing certain participant characteristics and behaviors at the beach that might impact the incidence of sunburn using cross-tabulation and chi-square analyses comparing those with and without sunburn. First, we evaluated age, sex, and race. We collapsed ages ≥55 into one category because of small sample sizes at older ages. A subset of participants at beaches in the Eastern Seaboard, Gulf Coast, and Puerto Rico were asked to describe what typically occurs when they are exposed to the sun in the absence of sunscreen or protective clothing/equipment (dark tan, some tanning, freckles, repeat sunburns, other, and never go in the sun). Participants were asked to estimate the amount of time spent in the sun and total time spent in the water and indicate whether they had contact with the water. We also examined sun protective behaviors such as sunscreen use, if sunscreen was reapplied, if any protective clothing was worn, or if any time was spent in the shade (under a canopy or an umbrella). We stratified our analyses by sex and race to understand any differences among males versus females or whites versus non-whites.

Cloud coverage, air temperature, and solar radiation were recorded daily at 8:00am, 11:00am, and 3:00pm at all beaches except California. Cloud coverage was assessed via consensus with the field research team at each beach. Air temperature (˚C) was measured at a fixed location using a thermometer. Portable meters (Silicon Pyranometer Sensor in 2003 and UVX Radiometers 2004–2009) were used to measure solar power per unit area in μW/m2 and were calibrated once per season prior to use. We assessed sunburn frequency with median daily cloud cover, average daily temperature, and solar radiation measurements taken at 11:00 am, when UVR is often at its highest.22

Among those with information available on skin type (as described above in terms of what typically occurs when exposed to the sun) the association between sun protective behaviors and sunburn incidence, was evaluated using multivariable logistic regression models where recent sunburn (Yes/No) was the outcome and the number (0–3) of sun protective behaviors (sunscreen, protective hat, and shade) was the primary exposure. Models were adjusted for age, race, beach site, water contact, skin type and hours spent in the sun. Cluster- robust standard errors were used in regression models to account for clustering at the household level.23 Hours spent in the sun was also considered an effect modifier of the association between protective behaviors and sunburn. Adjusted average probabilities following regression were estimated using the margins command in Stata 14.24

Beachgoers participating at all locations except California were asked to provide information relating to the burden of their illness. Participants reported over-the-counter (OTC) and prescription medication use, visits with a healthcare provider (in person or by phone), visits to an ED, and the number of workdays lost due to sunburn. These questions were asked for skin symptoms in general, which could have included sunburn, rash, or cuts, but were only analyzed among those reporting sunburn and no other skin symptoms.

Results

During the study period, 75,614 beachgoers participated and 9,882 (13.1%) reported sunburn symptoms after the beach visit (Table 1). Sunburn incidence varied by beach location (p<0.001), with the lowest incidence (9.9%) in Puerto Rico and the highest (16.1%) along the Eastern Seaboard. At all beaches, 5.1% of those ≤3 years old experienced sunburn. Among those <35 years old, sunburn incidence increased with age (p<0.001), peaking at 18.3% for those 19–34. Sunburn incidence decreased with age among adults ≥35. Whites were more likely to be sunburned (16.0%) compared to non-whites (blacks=4.3%, other races=11.0%, p<0.001). There was little difference in sunburn incidence between males (13.8%) and females (14.2%) (p=0.17).

Table 1:

Demographics by beach location for those with and without sunburn

All Locations Midwest Eastern Seaboard Gulf Coast Southern Californi
Sunburn(No.(%)) No Yes No Yes No Yes No Yes No Yes
No. (%) 65,732 (86.9%) 9,882 (13.1%) 16,941 (85.0%) 2,982 (15.0%) 11,129 (83.9%) 2,137 (16.1%) 2,895 (89.4%) 342 (10.6%) 16,231 (84.7%) 2,920 (15.3%)
Age categories
3 and Under 3,899 (94.9%) 208 (5.1%) 1,143 (94.5%) 67 (5.6%) 631 (95.6%) 29 (4.4%) 231 (96.4%) 8 (3.6%) 1,251 (94.2%) 77 (5.8%)
4–7 5,069 (90.6%) 528 (9.4%) 1,518 (91.1%) 149 (8.9%) 757 (89.6%) 88 (10.4%) 290 (94.5%) 17 (5.6%) 1,734 (89.5%) 203 (10.5%)
8–12 6,274 (87.7%) 879 (12.3%) 1,813 (89.0%) 224 (11.0%) 947 (86.3%) 151 (13.7%) 316 (91.9%) 28 (8.1%) 1,967 (85.6%) 332 (14.4%)
13–18 5,327 (83.5%) 1,054 (16.5%) 1,318 (80.8%) 328 (19.2%) 885 (79.2%) 233 (20.8%) 226 (84.6%) 41 (15.4%) 1,290 (81.6%) 291 (18.4%)
19–34 13,832 (81.7%) 3,108 (18.3%) 4,017 (79.1%) 1,062 (20.9%) 2,360 (79.1%) 622 (20.9%) 785 (85.6%) 132 (14.4%) 2,865 (80.2%) 707 (19.8%)
35–54 19,284 (85.4%) 3,306 (14.6%) 5,325 (84.7%) 958 (15.3%) 3,641 (82.5%) 772 (17.5%) 760 (88.2%) 102 (11.8%) 5,525 (83.8%) 1,071 (16.2%)
55 and over 6,281 (90.3%) 674 (9.7%) 1,310 (90.6%) 136 (9.4%) 1,760 (89.2%) 214 (10.8%) 262 (95.3%) 13 (4.7%) 1,543 (86.9%) 232 (13.1%)
χ2, p-value 801.2783, 0.000 356.1341, 0.000 206.8901, 0.000 55.3733, 0.000 207.9073, 0.000
Sex
Females 27,163 (85.8%) 4,489 (14.2%) 9,462 (84.8%) 1,292 (15.2%) 6,237 (84.8%) 1,120 (15.2%) 1,593 (90.1%) 175 (9.9%) 8,747 (84.9%) 1,553 (15.1%)
Males 33,518 (86.2%) 5,376 (13.8%) 7,461 (85.2%) 1,690 (14.8%) 4,854 (82.8%) 1,006 (17.2%) 1,293 (88.6%) 167 (11.4%) 7,445 (84.5%) 1,366 (15.5%)
χ2, p-value 1.8821, 0.170 0.5964, 0.440 9.1291, 0.003 2.0025, 0.157 0.6649, 0.415
Race
White 36,947 (84.0%) 7,061 (16.0%) 14,086 (84.2%) 2,652 (15.8%) 9,592 (82.7%) 2,002 (17.3%) 1,728 (86.4%) 272 (13.6%) 11,499 (84.4%) 2,128 (15.6%)
Black 2,096 (95.7%) 94 (4.3%) 563 (96.7%) 19 (3.3%) 353 (93.4%) 25 (6.6%) 882 (96.7%) 30 (3.3%) 290 (93.6%) 20 (6.5%
Other 21,271 (89.0%) 2,641 (11.0%) 2,229 (88.2%) 298 (11.8%) 1,153 (91.6%) 105 (8.4%) 284 (87.7%) 40 (12.4%) 4,062 (85.2%) 706 (14.8%)
χ2, p value 498.4908, 0.000 92.7904, 0.000 92.7969, 0.000 71.6541, 0.000 20.6946, 0.000
All Locations (continued) Midwest (continued) Eastern Seaboard (continued) Gulf Coast (continued) Southern Californi (continued)
Sunburn(No.(%)) No Yes No Yes No Yes No Yes No Yes
What typically happens when exposed to sun?a
Dark Tan 7,870 (88.7%) 1,001 (11.3%) 3,461 (86.6%) 537 (13.4%) 1,050 (91.1%) 103 (8.9%)
Some tanning 11,783 (87.7%) 1,647 (12.3%) 4,406 (84.0%) 842 (16.0%) 1,019 (87.9%) (12.1%)
No tan, freckles 1,254 (86.7%) 193 (13.3%) 546 (83.6%) 107 (16.4%) 191 (90.9%) 19 (9.1%)
Repeat sunburns 4,963 (83.5%) 979 (16.5%) 2,222 (79.2%) 585 (20.8%) 392 (84.7%) 71 (15.3%)
Other 659 (88.2%) 88 (11.8%) 239 (84.5%) 44 (15.5%) 102 (95.3%) 5 (4.7%)
Never go out in sun 945 (94.7%) 53 (5.3%) 204 (92.7%) 16 (7.3%) 129 (97.7%) 3 (2.3%)
χ2, p-value 148.3906, 0.000 80.4389, 0.000 31.2279, 0.000
a

Skin‟s reaction to sun was not asked at Midwestern or California beaches

When examining the skin‟s reaction to sun exposure, the highest incidence of sunburn (16.5%) was among those reporting that they get „repeat sunburns‟, and the lowest (11.3%) was among those indicating they get a „dark tan‟ when out in the sun (p<0.001). Approximately 5.3% of those indicating they „never go out in the sun‟, developed sunburn.

The neck/shoulders (55.7%) and the back (46.9%) were the two most frequently reported sunburn locations among those with incident sunburn (Figure 1a). The proportion reporting incident sunburn on the back differed by beach location (35.4% along the Eastern Seaboard versus 63.2% in Puerto Rico). Approximately 43.2% were sunburned on their face/head, and <30% were sunburned on their chest/abdomen, arms/hands, or legs/feet. Almost 33% were sunburned in ≥3 body locations (Figure 1b).

Figure 1:

Figure 1:

Parts of the body sunburned (a) and number of sunburn locations on the body (b) among those with incident sunburn

Contains only participants at Eastern Seaboard and Puerto Rico beaches

Table 2 shows the association between sunburn and behaviors possibly putting beachgoers at greater risk for sunburn. Sunburn was more likely to occur the longer a person spent in the sun (>6 hours=19.9%, <1 hour=8.0%, p<0.001)). Any water contact (15.2%) was associated with a higher probability of sunburn relative to those with no water contact (11.0%) (p<0.001). When examining date of sunburn onset among Southern California residence, no differences in the associations between sunburn and beach behaviors, were observed among sunburns reported within 0–3 days of the beach visit (Table S1).

Table 2:

Behavioral and environmental risk factors by beach locationa among those with and without sunburn

All Locations Midwest Eastern Seaboard Gulf Coast Southern California
Sunburn (No. (%)) No Yes No Yes No Yes No Yes No Yes
Time in the sun
<1 hour 6,182 (92.0%) 534 (8.0%) 1,488 (92.8%) 113 (7.2%) 1,303 (90.2%) 141 (9.7%) 593 (93.4%) 42 (6.6%) 1,325 (89.9%) 149 (10.1%)
1–2 hours 25,891 (87.7%) 3,620 (12.3%) 7,811 (87.6%) 1,104 (12.4%) 5,520 (85.6%) 928 (14.4%) 1,484 (89.6%) 172 (10.4%) 6,112 (86.5%) 951 (13.5%)
2–4 hours 20,797 (83.9%) 3,979 (16.1%) 6,179 (82.5%) 1,310 (17.5%) 3,382 (80.3%) 832 (19.7%) 656 (97.0%) 98 (13.0%) 5,435 (83.1%) 1,106 (16.9%)
5–6 hours 6,201 (81.7%) 1,387 (18.3%) 1,204 (75.4%) 393 (24.6%) 760 (79.3%) 198 (20.7%) 120 (83.3%) 24 (16.7%) 2,471 (82.7%) 518 (17.3%)
>6 hours 1,301 (80.1%) 324 (19.9%) 169 (78.6%) 46 (21.4%) 103 (76.9%) 31 (23.1%) 24 (82.8%) 5 (17.2%) 815 (81.2%) 189 (18.8%)
χ2 , p-value 527.3986, 0.000 280.6776, 0.000 117.7149, 0.000 22.2467, 0.000 81.3125, 0.000
Any contact with water
Yes 18,257 (89.0%) 2,259 (11.0%) 11,155 (83.6%) 2,188 (16.4%) 8,233 (81.8%) 1,832 (18.2%) 1,806 (88.4%) 237 (11.6%) 10,572 (83.8%) 2,050 (16.2%)
No 42,542 (84.8%) 7,623 (15.2%) 5,786 (87.9%) 794 (12.1%) 2,896 (90.5%) 305 (9.5%) 1,089 (91.2%) 105 (8.8%) 5,659 (86.7%) 870 (13.3%)
χ2 , p-value 212.0471, 0.000 64.9550, 0.000 135.1946, 0.000 6.2821, 0.012 28.3210, 0.000
Body immersed in water
Yes 25,913 (87.7%) 3,623 (12.3%) 8,223 (83.3%) 1,651 (16.7%) 6,935 (81.0%) 1,624 (19.0%) 1,329 (88.1%) 179 (11.9%) 8,056 (84.0%) 1,534 (16.0%)
No 34,886 (84.8%) 6,259 (15.2%) 8,718 (86.7%) 1,331 (13.3%) 4,194 (89.1%) 513 (10.9%) 1,566 (90.6%) 163 (9.4%) 8,175 (85.5%) 1,386 (14.5%)
χ2 , p-value 124.0503, 0.000 47.2693, 0.000 146.5505, 0.000 5.0860, 0.024 8.3299, 0.004
All Locations (continued) Midwest (continued) Eastern Seaboard (continued) Gulf Coast (continued) Southern California (continued)
Sunburn (No. (%)) No Yes No Yes No Yes No Yes No Yes
Time in the water
<30 minutes 16,143 (84.7%) 2,920 (15.3%) 5,915 (83.6%) 1,157 (16.4%) 3,716 (84.7%) 674 (15.4%) 671 (88.1%) 91 (11.9%) 4,227 (83.2%) 851 (16.8%)
30 min-1 hour 10,394 (85.4%) 1,780 (14.6%) 2,693 (84.0%) 513 (16.0%) 2,183 (80.9%) 516 (19.1%) 461 (89.9%) 52 (10.1%) 2,660 (85.6%) 448 (14.4%)
1–3 hours 12,769 (84.6%) 2,320 (15.4%) 2,251 (83.6%) 443 (16.4%) 2,113 (78.7%) 571 (21.3%) 586 (88.0%) 80 (12.0%) 2,875 (83.1%) 583 (16.9%)
>3 hours 3,134 (84.3%) 583 (15.7%) 258 (78.7%) 70 (21.3%) 213 (75.0%) 71 (25.0%) 88 (86.3%) 14 (13.7%) 759 (83.0%) 155 (17.0%)
χ2 , p-value 4.4049, 0.221 6.2195, 0.101 51.2501, 0.000 1.7182, 0.633 9.9471, 0.019
How often do you come to this beach yearly
Never 5,671 (84.4%) 1,049 (15.6%) 1,223 (85.3%) 211 (14.7%) 275 (88.1%) 37 (11.9%) 34 (91.9%) 3 (8.1%) 3,966 (83.5%) 782 (16.5%)
1–5 times 37,326 (85.7%) 6,251 (14.3%) 10,802 (84.4%) 1,999 (15.6%) 6,517 (81.7%) 1,456 (18.3%) 1,890 (89.1%) 232 (10.9%) 7,805 (84.6%) 1,417 (15.4%)
6–10 times 8,651 (87.0%) 1,298 (13.0%) 2,320 (86.9%) 349 (13.1%) 2,056 (84.8%) 368 (15.2%) 330 (90.9%) 33 (9.1%) 2,279 (86.5%) 355 (13.5%)
>10 times 9,151 (87.7%) 1,284 (12.3%) 2,596 (86.0%) 423 (14.0%) 2,281 (89.2%) 276 (10.8%) 641 (89.7%) 74 (10.4%) 2,181 (85.6%) 366 (14.4%)
χ2 , p-value 51.2276, 0.000 13.9731, 0.003 86.5052, 0.000 1.4105, 0.703 13.4945, 0.004
Miles traveled to beach
<20 miles 21,009 (86.4%) 3,316 (13.6%) 7,187 (87.2%) 1,058 (12.8%) 8,603 (83.4%) 1,717 (16.6%) 1,201 (89.9%) 135 (10.1%)
20–50 miles 9,105 (87.2%) 1,338 (12.8%) 4,352 (83.5%) 857 (16.5%) 1,018 (91.6%) 93 (8.4%) 771 (92.3%) 64 (7.7%)
50– 100 miles 7,951 (87.1%) 1,174 (12.9%) 3,024 (84.0%) 576 (16.0%) 315 (87.0%) 47 (13.0%) 239 (88.2%) 32 (11.8%)
>100 miles 5,319 (84.4%) 985 (15.6%) 2,200 (85.0%) 459 (17.3%) 1,102 (79.9%) 277 (20.1%) 684 (86.0%) 111 (14.0%)
χ2 , p-value 31.7421, 0.000 52.5893, 0.000 69.7218, 0.000 17.8865, 0.000
All Locations (continued) Midwest (continued) Eastern Seaboard (continued) Gulf Coast (continued) Southern California (continued)
Sunburn (No. (%)) No Yes No Yes No Yes No Yes No Yes
Cloud Coverage
Sunny 13,132 (86.6%) 2,028 (13.4%) 6,675 (84.8%) 1,198 (15.2%) 2,772 (85.7%) 464 (14.3%) 961 (89.6%) 111 (10.4%)
Mostly Sunny 21,428 (86.1%) 3,449 (13.9%) 3,675 (84.7%) 664 (15.3%) 7,020 (82.4%) 1,495 (17.6%) 1,363 (89.4%) 162 (10.6%)
Cloudy 5,827 (86.1%) 938 (13.9%) 3,475 (84.1%) 658 (15.9%) 1,175 (87.7%) 165 (12.3%) 357 (89.3%) 43 (10.8%)
Mostly Cloudy 3,125 (88.4%) 409 (11.6%) 2,149 (86.6%) 333 (13.4%) 162 (92.6%) 13 (7.4%) 125 (88.0%) 17 (12.0%)
Overcast 890 (90.8%) 90 (9.2%) 801 (90.8%) 81 (9.2%) 89 (90.8%) 9 (9.2%)
χ2 , p-value 30.6848, 0.000 31.6309, 0.000 44.7628, 0.000 0.5655, 0.967
Mean air temperature (C)
<25 C 15,693 (85.9%) 2,567 (14.1%) 13,103 (85.4%) 2,240 (14.6%) 2,286 (88.3%) 303 (11.7%) 304 (92.7%) 24 (7.3%)
23–30 C 16,163 (84.7%) 2,924 (15.3%) 3,838 (83.8%) 742 (16.2%) 8,843 (82.8%) 1,834 (17.2%) 1,716 (88.6%) 221 (11.4%)
>30 C 12,712 (89.6%) 1,471 (10.4%) 875 (90.0%) 97 (10.0%)
χ2 , p-value 177.7183, 0.000 7.1068, 0.008 46.1988, 0.000 5.4762, 0.065
Solar Radiation at 11 am
<500 μW/m2 3,278 (89.9%) 367 (10.1%) 1,253 (83.9%) 240 (16.1%) 689 (94.4%) 41 (5.6%)
500–1,000 μW/m2 5,310 (87.4%) 764 (12.6%) 3,430 (85.9%) 562 (14.1%) 1,157 (90.7%) 118 (9.3%) 162 (86.6%) 25 (13.4%)
1,000–1,500 μW/m2 12,675 (86.7%) 1,949 (13.3%) 6,090 (84.1%) 1,152 (15.9%) 3,270 (88.5%) 424 (11.5%) 1,254 (87.7%) 176 (12.3%)
>1,500 μW/m2 17,279 (85.1%) 3,029 (14.9%) 878 (78.9%) 235 (21.1%) 6,702 (80.8%) 1,595 (19.2%) 711 (89.4%) 84 (10.6%)
χ2 , p-value 74.277, 0.000 32.6391, 0.000 162.5109, 0.000 25.3540, 0.000
a

Environmental risk factors not collected in California

Environmental factors also affected sunburn incidence (Table 2). On sunny days, 13.4% of beachgoers experienced sunburn, compared to 9.2% on overcast days (p<0.001). Cloud coverage (Sunny= 13.4%, Overcast 9.2%, p<0.001) was also strongly associated with sunburn incidence.

Some locations show a greater incidence of sunburn on “mostly sunny” days compared to “sunny” days but was only significantly different (p<0.001) along the Eastern Seaboard. There also was an increased incidence of sunburn for each 500 μW/m2 increase in solar radiation at most beach locations (10.1% on days when solar radiation at 11am was <500 μW/m2 versus 14.9% when solar radiation at 11am was >1,500 μW/m2 (p<0.001).

No differences in risk factors by sex (Tables S2 and S3) were observed. While blacks had the lowest incidence of sunburn (4.3%) (Table 1), the same risk factors for sunburn among whites applied to other races. (Tables S4 and S5).

Many beachgoers indicated some form of sun protection behavior (Table 3). Overall, 66.4% used sunscreen, but varied by age, ranging from about 60% among those aged 19–34 and ≥55 to over 77% among those <7 years old (p<0.001). Of those who applied sunscreen, 50.4% reported reapplying sunscreen. Additionally, 28.5% indicated wearing a hat and/or protective clothing, and 26.8% stayed in the shade. Use of hats and/or protective clothing was significantly more common among those ≤3 years (25.1%) and those ≥55 years (51.2%), compared to 12.6% of those 8–12 (p<0.001).

Table 3:

Sun-Protection Behaviors

No. (%) Sunscreen Use Reapply Sunscreen Protective Hat/Clothing Shade
All 55,715 (66.4%) 16,042 (50.4%) 17,936 (28.5%) 22,492 (26.8%)
Age categories
3 and under 3,787 (77.1%) 1,086 (54.0%) 923 (25.1%) 1,765 (36.0%)
4–7 5,621 (77.0%) 1,399 (53.6%) 757 (14.8%) 1,843 (27.0%)
8–12 6,265 (70.4%) 1,688 (51.4%) 852 (12.6%) 2,221 (25.0%)
13–18 4,934 (64.9%) 1,597 (54.4%) 745 (13.0%) 1,775 (23.4%)
19–34 12,565 (60.6%) 3,597 (47.6%) 3,612 (23.7%) 4,703 (22.7%)
35–54 17,522 (67.1%) 5,101 (51.3%) 7,718 (39.4%) 7,393 (28.3%)
55 and over 4,630 (60.5%) 1,280 (43.8%) 3.161 (51.2%) 2,539 (33.2%)
χ2, p-value 1,100, p<0.001 119.8, p<0.001 4,900 p<0.001 636.3, p<0.001
Sex
Females 31,107 (68.7%) 9,316 (50.8%) 8,922 (26.6%) 11,916 (26.3%)
Males 24,449 (63.8%) 6,681 (49.9%) 8,966 (30.7%) 10,501 (27.4%)
  χ2, p-value 224.1, p<0.001 2.4, p=0.12 132.0, p<0.001 12.4, p<0.001
Race
White 34,196 (68.6%) 8,997 (49.2%) 10,857 (33.6%) 13,503 (27.1%)
Black 770 (29.8%) 167 (37.0%) 387 (19.5%) 837 (32.3%)
Other 20,220 (65.8%) 6,836 (52.5%) 6,530 (23.3%) 7,888 (25.7%)
χ2, p value 1,700, p<0.001 66.0, p<0.001 876.6, p<0.001 60.5, p<0.001

Without adjustment for other factors, use of sunscreen and shade were associated with an increased incidence of sunburn (Odds Ratio (OR)=1.30(95% Confidence Interval (95% CI): 1.23–1.37); OR 1.27(95% CI: 1.19–1.35)), respectively). However, following adjustment for race, skin type, and other factors described above, sun protective behaviors were associated with a reduced odds of sunburn. The odds of sunburn among those using at least one form of protection were reduced by about 13% compared to those who used no protection (OR=0.88 (95% CI: 0.780.98)), whereas the odds were reduced by about 23% among those using three forms of protection (OR=0.77(95% CI: 0.65–0.91)), compared to those who used no protection. The protective effects were stronger with increased time spent in the sun, and a test of this interaction was statistically significant (p=0.007). Among those spending ≥5 hours in the sun, use of 1, 2, and 3 forms of protection were associated with a 46%, 47%, and 55% reduced odds of sunburn, respectively, compared to those using no protection (OR=0.54 (95% CI: 0.39–0.77), 0.54 (95% CI: 0.37–0.79), and 0.45 (95% CI: 0.27–0.77)). For those spending ≥5 hours in the sun and using no protection, the adjusted estimated probability of sunburn was 25%, compared to 16%, 16% and 14% for those using 1, 2 and 3 forms of protection, respectively.

Among those with sunburn (excluding those with rash and cuts) in the Midwest, Gulf Coast, and Eastern Seaboard (n=5,071), 34.3% used OTC and 0.3% used prescription medication to treat symptoms. Additionally, 0.3% visited a healthcare provider, 0.04% visited an ED, and 0.03% reported missing work for an average of 1.3 days.

Discussion

This analysis used a large cohort of beachgoers (n=75,614) to assess the incidence of new sunburn (13.1%) over 10–12 days following a single event. Sunburn incidence varied by age, race, and location, among other factors, with the highest incidence among those 13–18 (16.5%) and whites (16.0%). After control for skin type, age, and race, we demonstrated that for those spending ≥5 hours in the sun, the use of multiple types of sun protection reduced reported the odds of sunburn incidence by over half. The large sample size allowed us to evaluate demographic, behavioral, and environmental factors at several beaches throughout the U.S. Additionally, we were able to evaluate the burden of illness for a typical sunburn following a day at the beach, among a subset of participants. Similar to other analyses9, we found that sunburn was positively associated with certain beach behaviors, such as water contact, beach visit frequency, and time spent in the sun. While behaviors appear to be important, environmental factors such as weather conditions and solar radiation also influence sunburn incidence.

Reported sunburns tended to be relatively mild and treatable at home. Most sunburn occurred on the neck/shoulders and back, but this pattern varied according to beach location. Approximately 34.3% of those with sunburn used OTC medications, while <1% used prescriptions, visited a healthcare provider or ED, or missed time from work. In addition to the initial cost-savings and morbidity reduction, reducing sunburn prevalence in the U.S. could, in the long-term, reduce the incidence of skin cancer which is much more expensive and can sometimes be fatal.1

After adjusting for race, age, and skin type, we found that those who used sunscreen and other protective behaviors were less likely to report getting sunburned, compared to those engaging no sun protective behaviors. This protective effect increased as the amount of time spent in the sun increased. Although these results are consistent with experimental trials showing that sunscreen use protects against UV damage,25,26 some previous observational studies have found a positive association between sunscreen use and sunburn risk.6 Individuals who have sun-sensitive skin or spend long periods of time outdoors may be more likely to get sunburned and more likely to use sunscreen, which may partially explain the lack of protective effect for sunscreen found in some studies. By adjusting for race and skin type and limiting participants to those at the beach (a context in which most participants were spending extended periods of time in the sun), we were able to account for these potential confounders in our analyses.

Given the protective effect demonstrated for sunscreen use in beach settings, there may be value in ensuring easy access to sunscreen in these settings and educating consumers on proper sunscreen use. For example, it is estimated that beachgoers take a median of 51 minutes to apply sunscreen after arriving at the beach.27 Additionally, sunscreen application is often considerably less than the amount recommended (2mg/cm2) by the U.S. Food and Drug Administration (FDA).28 A study among beachgoers29 found that volunteers typically applied only 10% of the recommended amounts, with the ears and top of the feet mostly remaining unprotected and a recent study30 found that sunscreen applied at 0.75 mg/cm2, was not effective in reducing DNA damage from UVR exposure. Currently, the FDA requires sunscreen labeling stating that sunscreen should be used in combination with other sun protective measures, such as the use of shade or protective clothing.28 Improving these aspects of sunscreen use would likely increase sun-protective benefits.

In the current study, use of multiple forms of sun protection was associated with lower sunburn odds. This is consistent with previous research findings that suggest seeking shade or wearing protective clothing is associated with a greater reduction in sunburn risk compared to the use of sunscreen alone.31,32 The Community Preventive Services Task Force (Community Guide) recommends interventions in outdoor recreational and tourism settings that include skin cancer prevention messages or educational activities for visitors, and may also provide free sunscreen of SPF 15 or greater.33 This recommendation is based on strong evidence of effectiveness for increasing sunscreen use and avoidance of sun exposure, and decreasing prevalence of sunburns. Such interventions would likely reduce the prevalence of sunburn among those in beach settings.

While evaluating sun protective behaviors, we chose to evaluate a composite index (number of sun protective behaviors: sunscreen, protective hat, and shade) rather than considering individual effects. We decided against evaluating individual effects since these protective behaviors are highly correlated with one another, making it difficult to accurately assess the independent effects while holding the others constant, and the associations are affected both by strong confounding and effect modification. Although we made efforts to account for these there may have been residual confounding not likely completely accounted for, which could affect interpretation of the independent effects. Additionally, while the sample size is large, the analysis of the effects of the protective behaviors was limited to the beach sites that asked about skin tone (~30,000), and then the more pronounced effects were among those spending 5 or more hours in the sun, reducing the size further. As a result we could not adequately tease out the individual effects in a meaningful way.

This study relied on self-reported assessment of behaviors and symptoms and results may be subject to bias from issues such as inaccurate recall and socially desirable responses. Because one household member answered questions for the rest of the members of the household, exposures or symptoms could have been over-or underestimated. The follow-up interview occurred 10–12 days following the initial exposure, which may increase the likelihood of potential exposure misclassification since no data were collected regarding outdoor recreational activities between the initial beach interview and follow-up. However, a subset of beachgoers included in this analysis (from Southern California beaches), provided the date in which sunburn erupted following the beach visit. In a sensitivity analysis (Table S1), we found no differences in the conclusions drawn from the associations between beach behaviors and sunburn, which suggests that exposure misclassification may be minimal. In addition, our solar radiation measurements estimated total flux, but did not incorporate erythema (skin reddening), like the UV Index.34 However, we still found it to be a reliable predictive variable, with incidence increasing with increased solar radiation. While the study data were collected during 2003–2009, these findings are likely still relevant given sunburn prevalence remains high in the U.S., and barriers to sun-safety in beach settings likely have not changed much since these data were collected.

Conclusion

In a large pooled analysis of beachgoers at 12 beaches, we found that approximately 13.1% of beachgoers experienced sunburn following the beach visit. Several factors were associated with increased sunburn incidence, including time in the sun, and water contact, whereas use of sunscreen, protective clothing and shade reduced the odds of sunburn by at least half. Although the acute health effects of a sunburn tend to be mild and self-limiting the potential long-term health consequences are more serious and costly.2 Efforts to encourage and support proper sun-protective behaviors, and increase access to shade, protective clothing, and sunscreen among beach patrons,33 could help prevent sunburn and reduce skin cancer risk among beachgoers.

Supplementary Material

1

Highlights.

  • Approximately 13% of beachgoers reported sunburn

  • The use of multiple types of sun protection reduced odds of sunburn by 55%

  • Acute health effects of sunburn tend to be mild and self-limiting

Acknowledgments

Co-authors Benjamin F. Arnold and John M. Colford Jr.’s work was supported in part by the National Institutes of Health (NIH; grant R03-HD076066). The study sponsor had no role in the study design, collection, analysis, interpretation of data, writing the report, or the decision to submit the report for publication.

Footnotes

Financial Disclosure:

No financial disclosures were reported by the authors of this paper

Disclaimers:

The views expressed in this manuscript are those of the individual authors and do not necessarily reflect the views and policies of the U.S. Environmental Protection Agency.

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Mention of trade names or commercial products does not constitute endorsement or recommendation for use.

Conflict of Interest Statement:

The authors report no conflict of interest.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Contributor Information

Stephanie DeFlorio-Barker, Center for Public Health and Environmental Assessment Office of Research and Development, U.S. Environmental Protection Agency 109 T.W. Alexander Drive, M/D B243-01, Research Triangle Park, North Carolina, USA.

Dawn Holman, Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Robert Landolfi, Office of Atmospheric Programs, Office of Air and Radiation, U.S. Environmental Protection Agency, Washington, District of Columbia, USA.

Benjamin F. Arnold, Division of Epidemiology & Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California, USA.

John M. Colford, Jr., Division of Epidemiology & Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California, USA.

Stephen B. Weisberg, Southern California Coastal Water Research Project Authority, Costa Mesa, California USA.

Kenneth C. Schiff, Southern California Coastal Water Research Project Authority, Costa Mesa, California USA.

Elizabeth A. Sams, Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.

Timothy J. Wade, Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.

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