The Relationship Between the Presence of Nevus, Skin Cancer and Sun Knowledge, and Sun Protection Behaviors among Agriculture Students

The Relationship Between the Presence of Nevus, Skin Cancer and Sun Knowledge, and Sun Protection Behaviors among Agriculture Students | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The Relationship Between the Presence of Nevus, Skin Cancer and Sun Knowledge, and Sun Protection Behaviors among Agriculture Students Ulku Saygili Duzova, Busra Altinel, Mursel Duzova, Irem Ayran Colak This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5371335/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Purpose The purpose of this study is to investigate the association between the presence of nevus, skin cancer and sun knowledge, and sun protection behaviors in students of the faculty of agriculture. Methods This descriptive and cross-sectional study was conducted with 201 students studying at the Faculty of Agriculture of a university in the Central Anatolia region of Turkey between April and June 2024. Research data were collected using the Personal Information Form, Skin Cancer and Sun Knowledge Scale, and Sun Protection Behavior Scale. Results The mean scores obtained on the skin cancer and sun knowledge scale were The students' Skin cancer and sun knowledge scale score was 10.95 ± 3.02, and the sun protection behavior scale score was 24.79 ± 6.95. A statistically significant relationship was found between sun protection behaviors and various factors such as gender, hair color, skin color, and mole-checking methods (p < 0.05). More specifically, students who described their skin color as dark had lower scores in sun protection, which was a statistically significant difference (p < 0.05). In addition, a weak negative relationship was discovered between the subscale of skin cancer risk factors and the subscale of sun avoidance (p < 0.05). Conclusion It was found that students in the faculty of agriculture had inadequate knowledge and behavior regarding skin cancer and sun protection. It is important to develop educational programs and implement strategies to provide students with the necessary behaviors regarding skin cancer and sun-related health. Agriculture student skin cancer sun protection nevus Introduction Skin cancers are a concerning health problem that has drawn attention recently due to their increasing incidence across the world and in Turkey. Each year, approximately 3.5 million people in the United States and 7 million 304 thousand people in Europe are diagnosed with skin cancer. The data from the GLOBOCAN 2022 database shows skin cancers other than malignant melanoma ranked 6th in the world and 10th in Turkey [ 1 ]. Early exposure to sun or artificial sources containing ultraviolet radiation (UVR) increases the risk of skin cancer. Around 25% of sun exposure takes place before the age of 18, and thus young people become more prone to developing skin cancer when they are exposed to the sun and artificial UVR sources [ 2 ]. The rising popularity of tanning has sparked an increased interest in this trend, especially among young people [ 3 ]. Besides, the presence of nevus, aging, fair skin, immunosuppression, history of sunburn, and history of skin cancer are other risk factors [ 1 , 4 ]. Population-based studies show that young people have rather limited knowledge about sun protection behaviors and skin cancer symptoms [ 5 – 6 ]. Since childhood and early adulthood constitute critical periods in the development of skin cancer in the future, primary and secondary prevention is required. Primary protection entails changes in several behaviors that limit UVR exposure, such as using a high-SPF sunscreen, wearing protective clothing and hats, and avoiding indoor tanning. However, because primary prevention cannot suffice on its own, it should be complemented with secondary prevention to diagnose the symptoms of skin cancer early and provide relevant treatment. Periodical observation of at-risk individuals by a health professional or via self-examination is crucial for the early diagnosis of skin cancer [ 6 , 7 ]. Newly occurring moles, or changes in color, shape, size, or borders of existing moles can be warning signs for skin cancer [ 8 , 9 ]. In some circumstances, risks develop much more rapidly due to personal barriers such as the perception that protective measures are time-consuming, or owing to structural obstacles such as harsh working conditions [ 10 – 13 ]. Furthermore, many people misuse sun care products, applying only 20 to 50% of the required amount or neglecting to reapply [ 4 ]. As future agricultural professionals, students of agriculture are more likely to be exposed to the sun due to working outdoors. Increasing temperatures and the exacerbation of harmful effects of the sun caused by global warming further heighten the risk of skin cancer among at-risk groups [ 14 ]. In addition, in their professional lives, graduates from the faculty of agriculture can take on being role model for farmers, agricultural workers, and other sectoral workers by raising awareness on UVR protection and skin cancer. Just as nurses have a vital medical role in preventing and detecting skin cancer and providing screening services, agricultural professionals can also guide professionals in the agriculture industry [ 2 , 11 ]. Studies performed in many countries with various segments of society indicate that individuals have an inadequate level of awareness and knowledge about the effects of UV radiation on skin and skin cancers. Therefore, it is important to cultivate awareness concerning UVR protection in order to protect public health [ 5 – 14 ]. The purpose of this study is to investigate the association between the presence of nevus, skin cancer and sun knowledge, and sun protection behaviors in students at the faculty of agriculture. Methods Study Design The study was devised with a descriptive and cross-sectional research design. It was planned and reported in accordance with the checklist for descriptive studies set forth by Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). Participants and Setting This study was carried out in a faculty of agriculture located in the Central Anatolia Region of Turkey. The target population of the study consisted of 3rd and 4th year students (n=560) enrolled in the Faculty of Agriculture and started outdoor field practice. In line with Cohen’s formula for calculating sample size for known target groups, the minimum number of participants was found as 183 with a confidence interval of 90% and a margin of error of 5% (α=0.05, table value 1.96) [15]. Given the likelihood of lost or incomplete data, the sample size was identified as 201 with a 10% increase. The inclusion criteria to have started outdoor field practice, and to participate voluntarily in the study. Exclusion criteria were having been previously diagnosed with skin cancer, and being a 1st and 2nd year student. As a result, the study was completed with 201 students who met the inclusion criteria and volunteered to participate in the study. Data Collection Personal Information Form Prepared in line with the literature [2, 19-14, 16], this form inquires the sociodemographic and nevus characteristics of the students with a total of 19 questions. Skin Cancer and Sun Knowledge (SCSK) Scale Developed by Day et al. in 2014, the SCSK scale evaluates the level of knowledge about skin cancer and sun-related health in 25 items [17]. The scale consists of five subscales: sun protection, tanning, skin cancer risk factors, prevention of skin cancer, and symptoms of skin cancer. 15 items are true-false statements while 10 items are multiple choice questions. Each item is rated by correct (1) and incorrect (0) answers. The total score varies between 0 and 25. Higher scores show a higher level of knowledge. The Turkish validity and reliability study of the scale was performed by Haney et al. in 2018 [2]. The content validity index is 93.71% whereas the internal consistency reliability coefficient (KR-20) is 0.5115. Sun Protection Behavior Scale (SPBS) The change stages of the transtheoretical model in the use of sun protection and sun-protective clothing were developed by Rossi, Redding, and Weinstock [18-20]. The Turkish validity and reliability study of the Sun Protection Behavior Scale was carried out by Aygün and Ergün (2015) [13]. Consisting of nine items in its original form, the Turkish adaptation scale is made up of eight items and three subscales: sun avoidance, sunscreen use, and hat use. Items are rated on a 5-point Likert-type scale. The lowest and highest scores range from eight to 40. The Cronbach’s alpha value of the scale was found as 0.74. The Cronbach’s alpha values of the subscales are α=0.67 for sun avoidance; α=0.88 for sun protection, and α=0.70 for hat use. Data Collection The data were collected by the researchers between April and June 2024 in person in a classroom setting Data Analysis The data were analyzed using the Statistical Package for the Social Science (SPSS) version 22.0 package software. Kolmogorov-Smirnov test was utilized to identify whether the data were normally distributed. Descriptive statistics were presented as numbers, percentages, mean, and standard deviations. One-way ANOVA and Pearson correlation were resorted for comparative analyses. Statistical significance was accepted as p<0.05. Ethical Considerations Before conducting the study, an ethics committee approval (IRB: 2024/21) was received from the Non-Interventional Clinical Research Ethics Committee at Selcuk University, and institutional permission (No: 735602) was obtained from the Faculty of Agriculture at Selcuk University. The ethical principles outlined in the Declaration of Helsinki were complied with at every stage of the study. The students were informed about the aim of the study as well as data collection tools, and their consent was thus obtained. Results The Mean Scores of the Participants on SCSK scale and SPBS Table 1 Distribution of students’ sociodemographic characteristics (n = 201) Variable Mean ± SD Min-Max Age 23.11 ± 4.14 20–50 Number (n) Percentage (%) Gender Female 72 35.8 Male 129 64.2 Grade 3 97 48.3 4 104 51.7 Perceived Economic Status Good 57 28.3 Moderate 124 61.7 Bad 20 10.0 Region of Residence Marmara 4 2.0 Eastern Anatolia 3 1.5 Aegean 9 4.5 Black Sea 5 2.5 Mediterranean 34 16.9 Central Anatolia 138 68.6 Southeastern Anatolia 6 3.0 Other 2 1.0 The total mean score of the SCSK Scale was found 10.95 ± 3.02 while that of the SPBS was found as 24.79 ± 6.95 (Table 1 ). A significant difference was found between the perception of economic status and the region where the students spent most of their lives and the mean score of the SCSK scale (p < 0.05). No significant correlation was found between the SPBS and other characteristics including the economic status, region of residence, eye color, skin type, the number of sunburns in the last 12 months, and the presence of facial moles (p < 0.05). However, a statistically significant difference (p < 0.05) was revealed between the mean score of the SPBS and the characteristics including gender; the presence of solar lentigines; the presence of moles under the foot and on the palm; the presence of a mole that looks different; the status of checking moles, and the status of checking the moles on the back, waist, legs, and groin. Also, another significant difference (p < 0.05) was found between hair color and the mean score of the SPBS. Furthermore, a significant difference (p < 0.001) was found between the skin color and the mean score of the SPBS, which was caused by the students who defined their skin color as dark and the students who stated freckled fair skin and fair skin. The difference between mole-checking methods and the mean score of the SPBS was statistically significant (p < 0.001) (Table 2 ). Table 2 Distribution of students’ skin and nevus characteristics (n = 201) Number (n) Percentage (%) Hair Color Red 1 0.5 Blond 12 6.0 Light brown 32 15.9 Brown 70 34.8 Black 86 42.8 Eye Color Blue 3 1.5 Green 17 8.5 Hazel 28 13.9 Brown 144 71.6 Black 9 4.5 Skin Color Freckled fair skin 7 3.5 Fair skin 62 30.8 Light brown 58 28.9 Brown 10 5.0 Dark 64 31.8 Skin Type Always burns easily, never tans 26 12.9 Usually burns easily, tans very little 41 20.4 Burns but tans over time 55 27.4 Burns very little, tans easily 43 21.4 Tans quickly, not burns 31 15.4 Not burns but allergy may occur 5 2.5 The Number of Sunburns in the Last 12 Months Never 71 35.3 1 56 27.9 2 36 17.9 3 38 18.9 The Presence of Solar Lentigines Exists 53 26.4 Not exists 148 73.6 The Presence of Facial Moles Exists 126 62.7 Not exists 75 37.3 The Presence of Moles under the Foot Exists 22 10.9 Not exists 179 89.1 The Presence of Moles on the Palm Exists 35 17.4 Not exists 166 82.6 The Presence of a Mole Looking Different Exists 45 22.4 Not exists 156 77.6 Mole Checking Yes 39 19.4 No 162 80.6 Checking Moles on the Back, Waist, Legs, and Groin Yes 92 45.8 No 109 54.2 Checking Method Self-examination with a mirror 92 45.8 With the help of a partner/family/friend 27 13.4 I do not check 82 40.8 The Relationship between the Mean Scores of the Participants on SCSK scale and SPBS Table 3 Students’ mean scores of the SCSK scale, SPBS, and the subscales (n = 201) Scales and Subscales Mean ± SD Min-Max SCSK Scale Total Score 10.95 ± 3.02 3–19 Sun Protection 3.11 ± 1.16 0–9 Tanning 4.88 ± 2.18 0–11 Skin Cancer Risk Factors 0.67 ± 0.69 0–2 Prevention of Skin Cancer 0.14 ± 0.35 0–1 Symptoms of Skin Cancer 0.57 ± 0.49 0–1 SPBS Total Score 24.79 ± 6.95 8–40 Sun Avoidance 10.22 ± 3.14 3–15 Sunscreen Use 8.60 ± 4.37 3–15 Hat Use 5.97 ± 2.48 2–10 The total mean score of the SCSK Scale was found 10.95 ± 3.02 while that of the SPBS was found as 24.79 ± 6.95 (Table 3 ). A significant difference was found between the perception of economic status and the region where the students spent most of their lives and the mean score of the SCSK scale. It was revealed that this difference was between those who perceived their economic status as good and those who perceived it as bad, and between those living outside Turkey and those living in Turkey (p < 0.05). No significant correlation was found between the SPBS and other characteristics including the economic status, region of residence, eye color, skin type, the number of sunburns in the last 12 months, and the presence of facial moles (p < 0.05). However, a statistically significant difference (p < 0.05) was revealed between the mean score of the SPBS and the characteristics including gender; the presence of solar lentigines; the presence of moles under the foot and on the palm; the presence of a mole that looks different; the status of checking moles, and the status of checking the moles on the back, waist, legs, and groin. Also, another significant difference (p < 0.05) was found between hair color and the mean score of the SPBS. The difference is caused by those who state their hair color as red, blond and light brown, and those who define their hair color as brown and black. Furthermore, a significant difference (p < 0.001) was found between the skin color and the mean score of the SPBS, which was caused by the students who defined their skin color as dark and the students who stated freckled fair skin and fair skin. The difference between mole-checking methods and the mean score of the SPBS was statistically significant (p < 0.001), which was due to the students who stated that they examined themselves with a mirror (Table 4 ). Table 4 Distribution of the mean scores of the SCSK scale and SPBS according to the sociodemographic, skin, and nevus characteristics of the students (n = 201) Variable SCSK Scale Mean ± SD SPBS Mean ± SD Gender Female 10.81 ± 2.82 30.58 ± 5.67 Male 11.02 ± 3.14 21.56 ± 5.32 Test value ,p t=-0.456, p = 0.649 t = 11.24, p 3 F = 2.006, p = 0.137 Region of Residence Marmara 1 11.25 ± 2.87 23.00 ± 7.70 Eastern Anatolia 2 13.00 ± 5.56 21.66 ± 9.07 Aegean 3 10.33 ± 2.50 24.55 ± 8.60 Black Sea 4 14.00 ± 3.80 30.40 ± 8.96 Mediterranean 5 11.73 ± 2.70 25.64 ± 5.00 Central Anatolia 6 10.67 ± 2.98 24.60 ± 7.10 Southeastern Anatolia 7 11.33 ± 2.94 23.50 ± 8.19 Other 8 6.50 ± 2.12 23.00 ± 9.89 Test value, p Difference F = 2.180, p = 0.038 8 < all F = 0.720, p = 0.655 Hair Color Red 1 12.00 ± 0.00 31.00 ± 0.00 Blond 2 11.58 ± 2.81 27.33 ± 8.19 Light brown 3 11.06 ± 3.42 28.03 ± 5.88 Brown 4 10.85 ± 2.89 25.42 ± 7.41 Black 5 10.88 ± 3.06 22.65 ± 6.13 Test value, p Difference F = 0.196, p = 0.940 F = 4.868, p 4,5 Eye Color Blue 10.00 ± 3.60 28.00 ± 8.18 Green 11.41 ± 3.44 24.94 ± 5.39 Hazel 10.35 ± 3.63 23.32 ± 8.56 Brown 11.04 ± 2.85 25.01 ± 6.67 Black 10.66 ± 3.16 24.55 ± 8.77 Test value, p F = 0.494, p = 0.740 F = 0.50, p = 0.729 Skin Color Freckled fair skin 1 10.42 ± 2.99 30.57 ± 8.30 Fair skin 2 10.90 ± 2.86 27.32 ± 6.10 Light brown 3 11.03 ± 2.52 24.84 ± 7.14 Brown 4 9.90 ± 2.18 24.40 ± 5.31 Dark 5 11.14 ± 3.69 21.73 ± 6.40 Test value, p Difference F = 0.426, p = 0.790 F = 7.143, p < 0.001 5 < 1,2 Skin Type Always burns easily, never tans 10.28 ± 2.87 27.07 ± 8.38 Usually burns easily, tans very little 11.36 ± 2.67 25.95 ± 5.95 Burns but tans over time 11.00 ± 3.00 25.29 ± 6.48 Burns very little, tans easily 10.53 ± 3.37 22.58 ± 7.73 Tans quickly, not burns 11.51 ± 2.94 23.54 ± 6.14 Not burns but allergy may occur 10.40 ± 4.39 24.80 ± 5.44 Test value, p F = 0.810, p = 0.544 F = 1.958, p = 0.087 The Number of Sunburns in the Last 12 Months Never 10.59 ± 3.37 24.88 ± 7.49 1 11.60 ± 2.88 25.08 ± 6.01 2 10.77 ± 2.85 22.97 ± 7.02 3 10.81 ± 2.63 25.92 ± 7.08 Test value, p F = 1.281, p = 0.282 F = 1.197, p = 0.312 The Presence of Solar Lentigines Exists 11.07 ± 3.08 27.09 ± 7.19 Not exists 10.90 ± 3.01 23.97 ± 6.70 Test value, p t = 0.351, p = 0.726 t = 2.85, p = 0.005 The Presence of Facial Moles Exists 10.64 ± 2.96 25.14 ± 7.22 Not exists 11.47 ± 3.07 24.21 ± 6.47 Test value, p t=-1.883, p = 0.061 t = 0.916, p = 0.361 The Presence of Moles under the Foot Exists 10.45 ± 2.82 27.72 ± 6.76 Not exists 11.01 ± 3.05 24.43 ± 6.91 Test value, p t=-0.813, p = 0.417 t = 2.113, p = 0.036 The Presence of Moles on the Palm Exists 11.08 ± 2.58 27.65 ± 7.15 Not exists 10.92 ± 3.12 24.19 ± 6.78 Test value, p t = 0.291, p = 0.771 t = 2.72, p = 0.007 The Presence of a Mole Looking Different Exists 11.02 ± 2.63 26.95 ± 7.27 Not exists 10.92 ± 3.14 24.17 ± 6.75 Test value, p t = 0.18, p = 0.856 t = 2.392, p = 0.018 Mole Checking Yes 11.15 ± 2.45 28.33 ± 6.99 No 10.90 ± 3.15 23.94 ± 6.69 Test value, p t = 0.468, p = 0.641 t = 3.645, p < 0.001 Checking Moles on the Back, Waist, Legs, and Groin Yes 10.81 ± 2.51 26.51 ± 6.36 No 11.06 ± 3.41 23.34 ± .715 Test value, p t=-0.594, p = 0.553 t = 3.289, p = 0.001 Checking Method Self-examination with a mirror 1 11.01 ± 2.73 27.30 ± 6.77 With the help of a partner/family/friend 2 10.88 ± 2.88 22.74 ± 4.11 I do not check 3 10.90 ± 3.40 22.65 ± 7.01 Test value, p Difference F = 0.034, p = 0.966 F = 12.279, p 2,3 t: Independent Groups T Test F: ANOVA The Relationship between the Mean Scores of the Participants on SCSK scale and SPBS No statistically significant correlation was found between the mean scores of the SCSK Scale and the mean scores of the SPBS (p > 0.05). However, there was a weak positive correlation between the mean score of the Sun Protection, one of the subscales of the SCSK Scale, and the mean score of the SPBS (p < 0.05). In addition, there was a weak negative correlation between the mean scores of Skin Cancer Risk Factors, one of the subscales of the SCSK Scale, and Sun Avoidance, one of the subscales of the SPBS (p < 0.05). (Table 5 ). Table 5 The relationship between the mean scores of SCSK scale and its subscales, and the mean scores of SPBS and its subscales (n = 201) 1 2 3 4 5 6 7 8 9 10 1. SCSK Scale 1 2. Sun Avoidance 0.386** 1 3. Tanning 0.824** -0.018 1 4. Skin Cancer Risk Factors 0.480** 0.005 0.316** 1 5. Prevention of Skin Cancer 0.364** -0.091 0.279** 0.374** 1 6. Symptoms of Skin Cancer 0.284** 0.028 0.084 0.032 0.108 1 7. SPBS 0.018 0.168* -0.011 -0.122 -0.135 -0.078 1 8. Sun Avoidance -0.073 0.081 -0.061 -0.163* -0.079 -0.057 0.753** 1 9. Sunscreen Use 0.036 0.123 0.012 -0.073 -0.128 -0.081 0.799** 0.377** 1 10. Hat Use 0.079 0.151 0.025 -0.008 -0.051 -0.002 0.438** 0.180* -0.002 1 r: Pearson correlation, *p < 0.05, **p < 0.01 Discussion The present study investigated the knowledge levels and behaviors of students of agriculture faculty in relation to skin cancer and sun protection. The findings show that most of the students do not have sufficient knowledge about skin cancer and sun protection, which has an impact on their sun protection behaviors. It is estimated that 50 to 80% of sun damage to the skin is caused by sun exposure during childhood and adolescence that is severe enough to lead to sunburn. Nonetheless, many adults do not use protective clothing and are exposed to the harmful effects of the sun due to the desire to tan their skin or having to work outdoors [ 11 ]. Sun protection behaviors are reported to decrease during adolescence and it was found that young adults spend most of their time in the sun and are the most determined to tan [ 17 ]. The necessity of relevant awareness-raising education programs is informed by the fact that students, especially the young, are not knowledgeable about skin cancer and do not display protective behaviors. The findings also showed that a significant difference was found between the mean scores of the perceived economic status and the longest inhabited region, and the mean score of the SCSK Scale. This shows that students’ socioeconomic status and the geographical region they live in may have an impact on their level of knowledge related to skin cancer. Much easier access to sun-protective equipment by students with high perceived economic status represents an important factor that can account for the observed differences in sun protection behaviors. These students can have access to products such as sunscreens, protective clothing, hats and sunglasses with high quality. In addition, they can also have easier access to health services and thus acquire more information about the harmful effects of the sun, which may encourage them to adopt protective behaviors. The students’ knowledge level regarding skin cancer and sun protection was found to be low. This finding differs from other findings in the existing literature to some extent. For instance, the studies conducted found that the participants had high levels of knowledge concerning the protection against the harmful effects of the sun [ 24 , 25 ]. In contrast, the low level of knowledge found in the present study is supported by Sümen and Öncel’s (2020) [ 8 ] study where the skin cancer and sun knowledge scale scores of the teachers were moderate as well as by Necipoğlu’s (2022) [ 9 ] study in which participants’ knowledge level was also moderate. These differences may arise from various factors including educational level, socioeconomic status, geographical region of residence, and information campaigns that the students are exposed to. The study also found that the students had low levels of sun protection behaviors. This finding is in line with a systematic review which points out that sun protection behaviors are usually at their lowest level during adolescence [ 17 ]. The review also revealed that skin cancer knowledge was positively associated with sun protection during adolescence, but noted that factors such as parental behavioral control, appearance motivation, and peer and media influences may also have an impact on this relationship. This suggests that the students’ low level of awareness and behavior regarding sun protection may be related to the habits acquired during adolescence and the influence of the social environment. A statistically significant difference was found between the mean scores of the SPBS and other factors including gender, hair color, skin color, the presence of solar lentigines, the presence of moles on the body, and mole-checking methods. This situation reveals that sun protection behaviors depend on individual characteristics. Studies also show that fair skin, light eye color, and the presence of nevi increase the risk of developing skin cancer [ 9 , 10 ]. Another study conducted with university students found that female students exhibited more informed and protective behaviors [2, 13 , 21 ]. This may imply that women pay more attention to skin health and display sun protection behaviors more frequently. The present study uncovered that the students with red, blond, and light brown hair had higher scores concerning sun protection than those with dark hair. The study performed by Altunkurek (2020) also indicated that the risk of sun damage varied according to skin type and that fair skin, light eye color, and the presence of nevi heightened the risk of developing skin cancer [ 12 ]. These findings underline the lack of proper sun protection behaviors as an important factor that may elevate the risk of skin cancer and demonstrate that awareness-raising precautions are required to deal with this issue. The study showed that no statistically significant relationship was found between the mean scores of the SCSK Scale and the mean scores of the SPBS. This finding suggests that the knowledge level may not be directly translated into practical behaviors. Thus, although the level of knowledge increases, protective behaviors may not be displayed automatically. However, the weak positive correlation between the mean score of Sun Protection, among the subscales of the SCSK Scale, and the mean score of the SPBS indicates that protection behaviors may be improved with an increase in knowledge about sun protection. Nevertheless, the weak negative correlation between Skin Cancer Risk Factors and Sun Avoidance reveals that although the students are knowledgeable about the risk factors of skin cancer, they do not exhibit adequate sun avoidance behaviors. Conclusion In conclusion, this study posits that agriculture students’ knowledge and awareness should be improved with regard to skin cancer and sun protection. Specifically, it is crucial to revisit education programs and teach more effective prevention strategies against skin cancer. In addition, it is recommended to promote sun protection behaviors by developing education programs tailored to the individual characteristics of students. Declarations Funding No financial support was received for this study. Ethical approval and consent to participate This study was performed in line with the principles of the Declaration of Helsinki. Ethics committee approval granted by Selcuk University, Non-Interventional Clinical Research Ethics Committee (IRB: 2024/21) Authorship contribution statement All authors contributed to the study’s conceptualization and design. Material preparation, data collection, and analysis were performed by U.S.D, B.A, I.A.C, and M.D. All authors read and approved the final manuscript. Declaration of competing interest The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Acknowledgments The authors are grateful to all participating students who supported the study. References Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229–63. Haney MO, Bahar Z, Beser A, Arkan G, Cengiz B. Psychometric Testing of the Turkish Version of the Skin Cancer and Sun Knowledge Scale in Nursing Students. J Cancer Educ. 2018;33(1):21–28. doi: 10.1007/s13187-016-1041-2 . PMID: 27155664. Lim HW, James WD, Rigel DS, Maloney ME, Spencer JM, Bhushan R. Adverse effects of ultraviolet radiation from the use of indoor tanning equipment: time to ban the tan. J Am Acad Dermatol. 2011;64(5):893–902. Tizek L, Ziehfreund S, Bauerdorf F, Zink A. Sun protection and public information. Curr Probl Dermatol. 2021;55:289–95. Hobbs C, Nahar VK, Ford MA, Bass MA, Brodell RT. Skin cancer knowledge, attitudes and behaviours in collegiate athletes. J Skin Cancer. 2014;2014:248198. Day AK, Wilson C, Roberts RM, Hutchinson AD. The Skin Cancer and Sun Knowledge (SCSK) Scale: Validity, Reliability, and Relationship to Sun-Related Behaviors Among Young Western Adults. Health Educ Behav. 2014;41(4):440–8. doi: 10.1177/1090198114529129 . Epub 2014 Apr 10. PMID: 24722215. Wu YP, Stump TK, Hay JL, Buller DB, Jensen JD, Grossman D, Shen J, Haaland BA, Jones J, Tercyak KP. Protocol for a cluster-randomized trial of a school-based skin cancer preventive intervention for adolescents. Contemp Clin Trials. 2024;140:107494. doi: 10.1016/j.cct.2024.107494 . Epub 2024 Mar 6. PMID: 38458557; PMCID: PMC11065585. Sümen A, Öncel S. Knowledge levels of kinder garten teacherabout skin cancer, sun protection behaviors, and affecting factors. Journal of Cancer Education 2020;1–7. Necipoğlu D, Elyeli K, Bebiş H. Determining the relationship between skin cancer and sun knowledge and behavior in adults living in a region with four seasons of sun. J Basic Clin Health Sci. 2022;6(3):784–90. Balcı E, Durmuş H, Arslantaş EE, Gün I. Knowledge, attitudes and behaviors of adults applying to primary health care institutions on the harmful effects of the sun and ways of protection. Turk J Dermatol. 2018;12:96–9 Yilmaz M, Yavuz B, Subasi M, Kartal A, Celebioglu A, Kacar H, et al. Skin cancer knowledge and sun protection behavior among nursing students. Japan J Nurs Sci. 2015;12(1):69–78. Altunkürek ŞZ, Kaya E. The effect of sun protection self-efficacy on sun protection behavior of 8th grade students in a middle school in Ankara. Univ Health Sci J Nurs. 2020;2(3):137–44. Aygun O, Ergun A. Validity and Reliability of Sun Protection Behavior Scale among Turkish Adolescent Population. Asian Nurs Res 2015;9(3):235–42. doi: 10.1016/j.anr.2015.04.006 . Epub 2015 Jul 23. PMID: 26412628. Watson TPG, Tong M, Bailie J, Ekanayake K, Bailie RS. Relationship between climate change and skin cancer and implications for prevention and management: a scoping review. Public Health. 2024;227:243–249. doi: 10.1016/j.puhe.2023.12.003. Epub 2024 Jan 22. PMID: 38262229. Daniel, W.W., Cross, C.L., 2018. Biostatistics: a foundation for analysis in the health sciences., 11th Edition, Wiley. Pampena R, Kyrgidis A, Lallas A, Moscarella E, Argenziano G, Longo C. A meta-analysis of nevus-associated melanoma: Prevalence and practical implications. J Am Acad Dermatol. 2017;77(5):938–945.e4. doi: 10.1016/j.jaad.2017.06.149 . Epub 2017 Aug 29. PMID: 28864306. Day AK, Wilson CJ, Hutchinson AD, Roberts RM. The role of skin cancer knowledge in sun-related behaviours: a systematic review. J Health Psychol. 2014;19(9):1143-62. doi: 10.1177/1359105313485483 . Epub 2013 May 16. PMID: 23682066. Rossi JS, Blais LM, Redding CA, Weinstock MA. Preventing skin cancer through behavior change: Implications for intervention. Dermatol. Clin. 1995; 13(3):613–622. http://dx.doi.org/20617, 35400005359758.0100 Redding CA, Prochaska JO, Pallonen UE, Rossi JS, Velicer WF, Rossi SR, et al. Transtheoretical individualized multimedia expert systems targeting adolescents’ health behaviors. Cognitive Behav. Pract. 1999; 6(2):144–153. http://dx.doi.org/10.1016/S1077-7229(99)80025-X Weinstock MA, Rossi JS, Redding CA, Maddock JE, Cottrill SD. Sun protection behaviors and stages of change for the primary prevention of skin cancers among beachgoers in Southeastern New England. Annals of Behavioral Medicine. 2000; 22(4):286–293. http://dx.doi.org/10.1007/BF02895664 Aygun O, Karayağız Muslu G. The Effect of a School-Based Sun Protection Program on Students' Sun Protection Behavior in Turkey. J Pediatr Nurs. 2021 Jul-Aug;59:e61-e69. doi: 10.1016/j.pedn.2021.01.030 . Epub 2021 Feb 19. PMID: 33612314. Kasar KS, Yesilbalkan OU, Yildirim Y, Kasar KS. Nursing student’s awareness on skin cancer. Int J Caring Sci. 2019;12(2):1081–8. Kudubes AA, Aydın A, Ugur O, Bektas M. Factors affecting knowledge levels of oncology nurses about skin cancer and sun protection. Eur J Cancer Care. 2020;29(6) Yan S, Xu F, Yang C, et al. Demographic differences in sun protection beliefs and behavior: a community-based study in Shanghai, China. Int J Environ Res Public Health. 2015;12:3232–45. Terzi S, Başak PY, Erturan I. Investigation of knowledge, attitudes and behaviors related to the harmful effects of the sun and ways of protection in patients who applied to the polyclinic. Turk Arch Dermatol Venereol. 2017;51. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5371335","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":378634129,"identity":"d04180cd-eaa2-4fdc-a1e8-60471de85516","order_by":0,"name":"Ulku Saygili Duzova","email":"","orcid":"","institution":"Selçuk University","correspondingAuthor":false,"prefix":"","firstName":"Ulku","middleName":"Saygili","lastName":"Duzova","suffix":""},{"id":378634130,"identity":"2bc38bc6-be2d-4c73-8dd2-7ce0ece2de80","order_by":1,"name":"Busra Altinel","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA70lEQVRIiWNgGAWjYBACAwhlwcDGwMB44AOQycZOnBYJCaAWhoMzQFqYidUCIg/zgEhCWswl0p99+FEjUccn3XzgsM2vbfJ8zAyMHz7m4NZiOSPHeGbPMaDDZI4lHM7tu23YxszALDlzGx6H3chhZuBhA2qRyDE4nNtzmxGohY2ZF6+W9MeMf/6BtOR/OGzZc9ueCC0Jxsy8bWBbGA4z/LidSFCLZc8bY2bZPgnJNok0g4O9DbeT25gZm/H6xZwd6LA332z45WckP3zw489t2/ntzQc/fMSjBRUwtoHJBmLVg8AfUhSPglEwCkbBSAEAw4xLibZY6ysAAAAASUVORK5CYII=","orcid":"","institution":"Selçuk University","correspondingAuthor":true,"prefix":"","firstName":"Busra","middleName":"","lastName":"Altinel","suffix":""},{"id":378634131,"identity":"df9b7cf1-417a-4add-bd45-a1ca876f3def","order_by":2,"name":"Mursel Duzova","email":"","orcid":"","institution":"Selçuk University","correspondingAuthor":false,"prefix":"","firstName":"Mursel","middleName":"","lastName":"Duzova","suffix":""},{"id":378634132,"identity":"b69366a2-4057-4e99-b905-1a0781347057","order_by":3,"name":"Irem Ayran Colak","email":"","orcid":"","institution":"Selçuk University","correspondingAuthor":false,"prefix":"","firstName":"Irem","middleName":"Ayran","lastName":"Colak","suffix":""}],"badges":[],"createdAt":"2024-11-01 07:23:13","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5371335/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5371335/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":72206952,"identity":"7d5cfc8f-1d2e-4792-be0d-7f965999bfe4","added_by":"auto","created_at":"2024-12-23 16:47:18","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1123917,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5371335/v1/a043cd53-9a6d-46d2-9b09-e4fd67c4ffed.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Relationship Between the Presence of Nevus, Skin Cancer and Sun Knowledge, and Sun Protection Behaviors among Agriculture Students","fulltext":[{"header":"Introduction","content":"\u003cp\u003eSkin cancers are a concerning health problem that has drawn attention recently due to their increasing incidence across the world and in Turkey. Each year, approximately 3.5\u0026nbsp;million people in the United States and 7\u0026nbsp;million 304 thousand people in Europe are diagnosed with skin cancer. The data from the GLOBOCAN 2022 database shows skin cancers other than malignant melanoma ranked 6th in the world and 10th in Turkey [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eEarly exposure to sun or artificial sources containing ultraviolet radiation (UVR) increases the risk of skin cancer. Around 25% of sun exposure takes place before the age of 18, and thus young people become more prone to developing skin cancer when they are exposed to the sun and artificial UVR sources [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. The rising popularity of tanning has sparked an increased interest in this trend, especially among young people [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Besides, the presence of nevus, aging, fair skin, immunosuppression, history of sunburn, and history of skin cancer are other risk factors [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Population-based studies show that young people have rather limited knowledge about sun protection behaviors and skin cancer symptoms [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Since childhood and early adulthood constitute critical periods in the development of skin cancer in the future, primary and secondary prevention is required. Primary protection entails changes in several behaviors that limit UVR exposure, such as using a high-SPF sunscreen, wearing protective clothing and hats, and avoiding indoor tanning. However, because primary prevention cannot suffice on its own, it should be complemented with secondary prevention to diagnose the symptoms of skin cancer early and provide relevant treatment. Periodical observation of at-risk individuals by a health professional or via self-examination is crucial for the early diagnosis of skin cancer [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Newly occurring moles, or changes in color, shape, size, or borders of existing moles can be warning signs for skin cancer [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. In some circumstances, risks develop much more rapidly due to personal barriers such as the perception that protective measures are time-consuming, or owing to structural obstacles such as harsh working conditions [\u003cspan additionalcitationids=\"CR11 CR12\" citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Furthermore, many people misuse sun care products, applying only 20 to 50% of the required amount or neglecting to reapply [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAs future agricultural professionals, students of agriculture are more likely to be exposed to the sun due to working outdoors. Increasing temperatures and the exacerbation of harmful effects of the sun caused by global warming further heighten the risk of skin cancer among at-risk groups [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. In addition, in their professional lives, graduates from the faculty of agriculture can take on being role model for farmers, agricultural workers, and other sectoral workers by raising awareness on UVR protection and skin cancer. Just as nurses have a vital medical role in preventing and detecting skin cancer and providing screening services, agricultural professionals can also guide professionals in the agriculture industry [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Studies performed in many countries with various segments of society indicate that individuals have an inadequate level of awareness and knowledge about the effects of UV radiation on skin and skin cancers. Therefore, it is important to cultivate awareness concerning UVR protection in order to protect public health [\u003cspan additionalcitationids=\"CR6 CR7 CR8 CR9 CR10 CR11 CR12 CR13\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. The purpose of this study is to investigate the association between the presence of nevus, skin cancer and sun knowledge, and sun protection behaviors in students at the faculty of agriculture.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eStudy Design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was devised with a descriptive and cross-sectional research design. It was planned and reported in accordance with the checklist for descriptive studies set forth by Strengthening the Reporting of Observational Studies in Epidemiology (STROBE).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eParticipants and Setting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was carried out in a faculty of agriculture located in the Central Anatolia Region of Turkey. The target population of the study consisted of 3rd and 4th year students (n=560) enrolled in the Faculty of Agriculture and started outdoor field practice. In line with Cohen\u0026rsquo;s formula for calculating sample size for known target groups, the minimum number of participants was found as 183 with a confidence interval of 90% and a margin of error of 5% (\u0026alpha;=0.05, table value 1.96) [15]. Given the likelihood of lost or incomplete data, the sample size was identified as 201 with a 10% increase. \u0026nbsp; The inclusion criteria to have started outdoor field practice, and to participate voluntarily in the study. Exclusion criteria were having been previously diagnosed with skin cancer, and being a 1st and 2nd year student. As a result, the study was completed with 201 students who met the inclusion criteria and volunteered to participate in the study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Collection\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePersonal Information Form\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePrepared in line with the literature [2, 19-14, 16], this form inquires the sociodemographic and nevus characteristics of the students with a total of 19 questions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSkin Cancer and Sun Knowledge (SCSK) Scale\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDeveloped by Day et al. in 2014, the SCSK scale evaluates the level of knowledge about skin cancer and sun-related health in 25 items [17]. The scale consists of five subscales: sun protection, tanning, skin cancer risk factors, prevention of skin cancer, and symptoms of skin cancer. 15 items are true-false statements while 10 items are multiple choice questions. Each item is rated by correct (1) and incorrect (0) answers. The total score varies between 0 and 25. Higher scores show a higher level of knowledge. The Turkish validity and reliability study of the scale was performed by Haney et al. in 2018 [2]. The content validity index is 93.71% whereas the internal consistency reliability coefficient (KR-20) is 0.5115.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSun Protection Behavior Scale (SPBS)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe change stages of the transtheoretical model in the use of sun protection and sun-protective clothing were developed by Rossi, Redding, and Weinstock [18-20]. The Turkish validity and reliability study of the Sun Protection Behavior Scale was carried out by Ayg\u0026uuml;n and Erg\u0026uuml;n (2015) [13]. Consisting of nine items in its original form, the Turkish adaptation scale is made up of eight items and three subscales: sun avoidance, sunscreen use, and hat use. Items are rated on a 5-point Likert-type scale. The lowest and highest scores range from eight to 40. The Cronbach\u0026rsquo;s alpha value of the scale was found as 0.74. The Cronbach\u0026rsquo;s alpha values of the subscales are \u0026alpha;=0.67 for sun avoidance; \u0026alpha;=0.88 for sun protection, and \u0026alpha;=0.70 for hat use.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Collection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data were collected by the researchers between April and June 2024 in person in a classroom setting\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data were analyzed using the Statistical Package for the Social Science (SPSS) version 22.0 package software. Kolmogorov-Smirnov test was utilized to identify whether the data were normally distributed. Descriptive statistics were presented as numbers, percentages, mean, and standard deviations. \u0026nbsp;One-way ANOVA and Pearson correlation were resorted for comparative analyses. Statistical significance was accepted as p\u0026lt;0.05.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Considerations\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBefore conducting the study, an ethics committee approval (IRB: 2024/21) was received from the Non-Interventional Clinical Research Ethics Committee at Selcuk University, and institutional permission (No: 735602) was obtained from the Faculty of Agriculture at Selcuk University. The ethical principles outlined in the Declaration of Helsinki were complied with at every stage of the study. The students were informed about the aim of the study as well as data collection tools, and their consent was thus obtained.\u0026nbsp;\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eThe Mean Scores of the Participants on SCSK scale and SPBS\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDistribution of students\u0026rsquo; sociodemographic characteristics (n\u0026thinsp;=\u0026thinsp;201)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMin-Max\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAge\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003e23.11\u0026thinsp;\u0026plusmn;\u0026thinsp;4.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e20\u0026ndash;50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eNumber (n)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e\u003cb\u003ePercentage (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eGender\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e35.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e129\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e64.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eGrade\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e48.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e104\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e51.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePerceived Economic Status\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGood\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e57\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e28.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModerate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e124\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e61.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBad\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eRegion of Residence\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMarmara\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEastern Anatolia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAegean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e4.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlack Sea\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMediterranean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e16.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCentral Anatolia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e138\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e68.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSoutheastern Anatolia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe total mean score of the SCSK Scale was found 10.95\u0026thinsp;\u0026plusmn;\u0026thinsp;3.02 while that of the SPBS was found as 24.79\u0026thinsp;\u0026plusmn;\u0026thinsp;6.95 (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). A significant difference was found between the perception of economic status and the region where the students spent most of their lives and the mean score of the SCSK scale (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). No significant correlation was found between the SPBS and other characteristics including the economic status, region of residence, eye color, skin type, the number of sunburns in the last 12 months, and the presence of facial moles (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). However, a statistically significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) was revealed between the mean score of the SPBS and the characteristics including gender; the presence of solar lentigines; the presence of moles under the foot and on the palm; the presence of a mole that looks different; the status of checking moles, and the status of checking the moles on the back, waist, legs, and groin. Also, another significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) was found between hair color and the mean score of the SPBS. Furthermore, a significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) was found between the skin color and the mean score of the SPBS, which was caused by the students who defined their skin color as dark and the students who stated freckled fair skin and fair skin. The difference between mole-checking methods and the mean score of the SPBS was statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDistribution of students\u0026rsquo; skin and nevus characteristics (n\u0026thinsp;=\u0026thinsp;201)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber (n)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePercentage (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHair Color\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlond\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLight brown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBrown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e34.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlack\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e42.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eEye Color\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlue\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGreen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHazel\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBrown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e144\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e71.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlack\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSkin Color\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFreckled fair skin\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFair skin\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e30.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLight brown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e28.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBrown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDark\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e31.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSkin Type\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAlways burns easily, never tans\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUsually burns easily, tans very little\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBurns but tans over time\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e27.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBurns very little, tans easily\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e21.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTans quickly, not burns\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot burns but allergy may occur\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Number of Sunburns in the Last 12 Months\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNever\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e35.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e27.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Solar Lentigines\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e26.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e148\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e73.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Facial Moles\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e126\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e62.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e37.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Moles under the Foot\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e179\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e89.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Moles on the Palm\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e166\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e82.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of a Mole Looking Different\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e22.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e156\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e77.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eMole Checking\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e80.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eChecking Moles on the Back, Waist, Legs, and Groin\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e45.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e109\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e54.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eChecking Method\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSelf-examination with a mirror\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e45.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWith the help of a partner/family/friend\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI do not check\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e40.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eThe Relationship between the Mean Scores of the Participants on SCSK scale and SPBS\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eStudents\u0026rsquo; mean scores of the SCSK scale, SPBS, and the subscales (n\u0026thinsp;=\u0026thinsp;201)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eScales and Subscales\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMin-Max\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSCSK Scale Total Score\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.95\u0026thinsp;\u0026plusmn;\u0026thinsp;3.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3\u0026ndash;19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSun Protection\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.11\u0026thinsp;\u0026plusmn;\u0026thinsp;1.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u0026ndash;9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTanning\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.88\u0026thinsp;\u0026plusmn;\u0026thinsp;2.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u0026ndash;11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSkin Cancer Risk Factors\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u0026ndash;2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrevention of Skin Cancer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.14\u0026thinsp;\u0026plusmn;\u0026thinsp;0.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u0026ndash;1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSymptoms of Skin Cancer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u0026ndash;1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSPBS Total Score\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e24.79\u0026thinsp;\u0026plusmn;\u0026thinsp;6.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8\u0026ndash;40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSun Avoidance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.22\u0026thinsp;\u0026plusmn;\u0026thinsp;3.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3\u0026ndash;15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSunscreen Use\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8.60\u0026thinsp;\u0026plusmn;\u0026thinsp;4.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3\u0026ndash;15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHat Use\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.97\u0026thinsp;\u0026plusmn;\u0026thinsp;2.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe total mean score of the SCSK Scale was found 10.95\u0026thinsp;\u0026plusmn;\u0026thinsp;3.02 while that of the SPBS was found as 24.79\u0026thinsp;\u0026plusmn;\u0026thinsp;6.95 (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). A significant difference was found between the perception of economic status and the region where the students spent most of their lives and the mean score of the SCSK scale. It was revealed that this difference was between those who perceived their economic status as good and those who perceived it as bad, and between those living outside Turkey and those living in Turkey (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). No significant correlation was found between the SPBS and other characteristics including the economic status, region of residence, eye color, skin type, the number of sunburns in the last 12 months, and the presence of facial moles (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). However, a statistically significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) was revealed between the mean score of the SPBS and the characteristics including gender; the presence of solar lentigines; the presence of moles under the foot and on the palm; the presence of a mole that looks different; the status of checking moles, and the status of checking the moles on the back, waist, legs, and groin. Also, another significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) was found between hair color and the mean score of the SPBS. The difference is caused by those who state their hair color as red, blond and light brown, and those who define their hair color as brown and black. Furthermore, a significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) was found between the skin color and the mean score of the SPBS, which was caused by the students who defined their skin color as dark and the students who stated freckled fair skin and fair skin. The difference between mole-checking methods and the mean score of the SPBS was statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), which was due to the students who stated that they examined themselves with a mirror (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDistribution of the mean scores of the SCSK scale and SPBS according to the sociodemographic, skin, and nevus characteristics of the students (n\u0026thinsp;=\u0026thinsp;201)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSCSK Scale\u003c/p\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSPBS\u003c/p\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eGender\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.81\u0026thinsp;\u0026plusmn;\u0026thinsp;2.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e30.58\u0026thinsp;\u0026plusmn;\u0026thinsp;5.67\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.02\u0026thinsp;\u0026plusmn;\u0026thinsp;3.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e21.56\u0026thinsp;\u0026plusmn;\u0026thinsp;5.32\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value ,p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et=-0.456, p\u0026thinsp;=\u0026thinsp;0.649\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;11.24, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u003cb\u003ePerceived Economic Status\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGood\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.52\u0026thinsp;\u0026plusmn;\u0026thinsp;2.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.70\u0026thinsp;\u0026plusmn;\u0026thinsp;7.75\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerate\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.50\u0026thinsp;\u0026plusmn;\u0026thinsp;3.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.81\u0026thinsp;\u0026plusmn;\u0026thinsp;6.76\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBad\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.05\u0026thinsp;\u0026plusmn;\u0026thinsp;2.66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.10\u0026thinsp;\u0026plusmn;\u0026thinsp;5.74\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003eDifference\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;3.787, p\u0026thinsp;=\u0026thinsp;0.024\u003c/p\u003e \u003cp\u003e1\u0026thinsp;\u0026gt;\u0026thinsp;3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;2.006, p\u0026thinsp;=\u0026thinsp;0.137\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"7\" rowspan=\"8\"\u003e \u003cp\u003e\u003cb\u003eRegion of Residence\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMarmara\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.25\u0026thinsp;\u0026plusmn;\u0026thinsp;2.87\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.00\u0026thinsp;\u0026plusmn;\u0026thinsp;7.70\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEastern Anatolia\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13.00\u0026thinsp;\u0026plusmn;\u0026thinsp;5.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e21.66\u0026thinsp;\u0026plusmn;\u0026thinsp;9.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAegean\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.33\u0026thinsp;\u0026plusmn;\u0026thinsp;2.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.55\u0026thinsp;\u0026plusmn;\u0026thinsp;8.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBlack Sea\u003csup\u003e4\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14.00\u0026thinsp;\u0026plusmn;\u0026thinsp;3.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e30.40\u0026thinsp;\u0026plusmn;\u0026thinsp;8.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMediterranean\u003csup\u003e5\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.73\u0026thinsp;\u0026plusmn;\u0026thinsp;2.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.64\u0026thinsp;\u0026plusmn;\u0026thinsp;5.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCentral Anatolia\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.67\u0026thinsp;\u0026plusmn;\u0026thinsp;2.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.60\u0026thinsp;\u0026plusmn;\u0026thinsp;7.10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSoutheastern Anatolia\u003csup\u003e7\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.33\u0026thinsp;\u0026plusmn;\u0026thinsp;2.94\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.50\u0026thinsp;\u0026plusmn;\u0026thinsp;8.19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eOther\u003csup\u003e8\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.50\u0026thinsp;\u0026plusmn;\u0026thinsp;2.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.00\u0026thinsp;\u0026plusmn;\u0026thinsp;9.89\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003eDifference\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;2.180, p\u0026thinsp;=\u0026thinsp;0.038\u003c/p\u003e \u003cp\u003e8\u0026thinsp;\u0026lt;\u0026thinsp;all\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;0.720, p\u0026thinsp;=\u0026thinsp;0.655\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003e\u003cb\u003eHair Color\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eRed\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12.00\u0026thinsp;\u0026plusmn;\u0026thinsp;0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e31.00\u0026thinsp;\u0026plusmn;\u0026thinsp;0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBlond\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.58\u0026thinsp;\u0026plusmn;\u0026thinsp;2.81\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27.33\u0026thinsp;\u0026plusmn;\u0026thinsp;8.19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLight brown\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.06\u0026thinsp;\u0026plusmn;\u0026thinsp;3.42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e28.03\u0026thinsp;\u0026plusmn;\u0026thinsp;5.88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBrown\u003csup\u003e4\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.85\u0026thinsp;\u0026plusmn;\u0026thinsp;2.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.42\u0026thinsp;\u0026plusmn;\u0026thinsp;7.41\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBlack\u003csup\u003e5\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.88\u0026thinsp;\u0026plusmn;\u0026thinsp;3.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.65\u0026thinsp;\u0026plusmn;\u0026thinsp;6.13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003eDifference\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;0.196, p\u0026thinsp;=\u0026thinsp;0.940\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;4.868, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e1,2,3\u0026thinsp;\u0026gt;\u0026thinsp;4,5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eEye Color\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBlue\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.00\u0026thinsp;\u0026plusmn;\u0026thinsp;3.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e28.00\u0026thinsp;\u0026plusmn;\u0026thinsp;8.18\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGreen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.41\u0026thinsp;\u0026plusmn;\u0026thinsp;3.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.94\u0026thinsp;\u0026plusmn;\u0026thinsp;5.39\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHazel\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.35\u0026thinsp;\u0026plusmn;\u0026thinsp;3.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.32\u0026thinsp;\u0026plusmn;\u0026thinsp;8.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBrown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.04\u0026thinsp;\u0026plusmn;\u0026thinsp;2.85\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.01\u0026thinsp;\u0026plusmn;\u0026thinsp;6.67\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBlack\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.66\u0026thinsp;\u0026plusmn;\u0026thinsp;3.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.55\u0026thinsp;\u0026plusmn;\u0026thinsp;8.77\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;0.494, p\u0026thinsp;=\u0026thinsp;0.740\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;0.50, p\u0026thinsp;=\u0026thinsp;0.729\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003e\u003cb\u003eSkin Color\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFreckled fair skin\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.42\u0026thinsp;\u0026plusmn;\u0026thinsp;2.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e30.57\u0026thinsp;\u0026plusmn;\u0026thinsp;8.30\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFair skin\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.90\u0026thinsp;\u0026plusmn;\u0026thinsp;2.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27.32\u0026thinsp;\u0026plusmn;\u0026thinsp;6.10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLight brown\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.03\u0026thinsp;\u0026plusmn;\u0026thinsp;2.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.84\u0026thinsp;\u0026plusmn;\u0026thinsp;7.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBrown\u003csup\u003e4\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9.90\u0026thinsp;\u0026plusmn;\u0026thinsp;2.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.40\u0026thinsp;\u0026plusmn;\u0026thinsp;5.31\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDark\u003csup\u003e5\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.14\u0026thinsp;\u0026plusmn;\u0026thinsp;3.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e21.73\u0026thinsp;\u0026plusmn;\u0026thinsp;6.40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003eDifference\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;0.426, p\u0026thinsp;=\u0026thinsp;0.790\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;7.143, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e5\u0026thinsp;\u0026lt;\u0026thinsp;1,2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"5\" rowspan=\"6\"\u003e \u003cp\u003e\u003cb\u003eSkin Type\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAlways burns easily, never tans\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.28\u0026thinsp;\u0026plusmn;\u0026thinsp;2.87\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27.07\u0026thinsp;\u0026plusmn;\u0026thinsp;8.38\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUsually burns easily, tans very little\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.36\u0026thinsp;\u0026plusmn;\u0026thinsp;2.67\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.95\u0026thinsp;\u0026plusmn;\u0026thinsp;5.95\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBurns but tans over time\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.00\u0026thinsp;\u0026plusmn;\u0026thinsp;3.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.29\u0026thinsp;\u0026plusmn;\u0026thinsp;6.48\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBurns very little, tans easily\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.53\u0026thinsp;\u0026plusmn;\u0026thinsp;3.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.58\u0026thinsp;\u0026plusmn;\u0026thinsp;7.73\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTans quickly, not burns\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.51\u0026thinsp;\u0026plusmn;\u0026thinsp;2.94\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.54\u0026thinsp;\u0026plusmn;\u0026thinsp;6.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot burns but allergy may occur\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.40\u0026thinsp;\u0026plusmn;\u0026thinsp;4.39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.80\u0026thinsp;\u0026plusmn;\u0026thinsp;5.44\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;0.810, p\u0026thinsp;=\u0026thinsp;0.544\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;1.958, p\u0026thinsp;=\u0026thinsp;0.087\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003e\u003cb\u003eThe Number of Sunburns in the Last 12 Months\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNever\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.59\u0026thinsp;\u0026plusmn;\u0026thinsp;3.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.88\u0026thinsp;\u0026plusmn;\u0026thinsp;7.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.60\u0026thinsp;\u0026plusmn;\u0026thinsp;2.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.08\u0026thinsp;\u0026plusmn;\u0026thinsp;6.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.77\u0026thinsp;\u0026plusmn;\u0026thinsp;2.85\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.97\u0026thinsp;\u0026plusmn;\u0026thinsp;7.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.81\u0026thinsp;\u0026plusmn;\u0026thinsp;2.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.92\u0026thinsp;\u0026plusmn;\u0026thinsp;7.08\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;1.281, p\u0026thinsp;=\u0026thinsp;0.282\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;1.197, p\u0026thinsp;=\u0026thinsp;0.312\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Solar Lentigines\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.07\u0026thinsp;\u0026plusmn;\u0026thinsp;3.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27.09\u0026thinsp;\u0026plusmn;\u0026thinsp;7.19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.90\u0026thinsp;\u0026plusmn;\u0026thinsp;3.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.97\u0026thinsp;\u0026plusmn;\u0026thinsp;6.70\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;0.351, p\u0026thinsp;=\u0026thinsp;0.726\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;2.85, p\u0026thinsp;=\u0026thinsp;0.005\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Facial Moles\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.64\u0026thinsp;\u0026plusmn;\u0026thinsp;2.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.14\u0026thinsp;\u0026plusmn;\u0026thinsp;7.22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.47\u0026thinsp;\u0026plusmn;\u0026thinsp;3.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.21\u0026thinsp;\u0026plusmn;\u0026thinsp;6.47\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et=-1.883, p\u0026thinsp;=\u0026thinsp;0.061\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;0.916, p\u0026thinsp;=\u0026thinsp;0.361\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Moles under the Foot\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.45\u0026thinsp;\u0026plusmn;\u0026thinsp;2.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27.72\u0026thinsp;\u0026plusmn;\u0026thinsp;6.76\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.01\u0026thinsp;\u0026plusmn;\u0026thinsp;3.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.43\u0026thinsp;\u0026plusmn;\u0026thinsp;6.91\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et=-0.813, p\u0026thinsp;=\u0026thinsp;0.417\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;2.113, p\u0026thinsp;=\u0026thinsp;0.036\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of Moles on the Palm\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.08\u0026thinsp;\u0026plusmn;\u0026thinsp;2.58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27.65\u0026thinsp;\u0026plusmn;\u0026thinsp;7.15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.92\u0026thinsp;\u0026plusmn;\u0026thinsp;3.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.19\u0026thinsp;\u0026plusmn;\u0026thinsp;6.78\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;0.291, p\u0026thinsp;=\u0026thinsp;0.771\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;2.72, p\u0026thinsp;=\u0026thinsp;0.007\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eThe Presence of a Mole Looking Different\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.02\u0026thinsp;\u0026plusmn;\u0026thinsp;2.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e26.95\u0026thinsp;\u0026plusmn;\u0026thinsp;7.27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot exists\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.92\u0026thinsp;\u0026plusmn;\u0026thinsp;3.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.17\u0026thinsp;\u0026plusmn;\u0026thinsp;6.75\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;0.18, p\u0026thinsp;=\u0026thinsp;0.856\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;2.392, p\u0026thinsp;=\u0026thinsp;0.018\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eMole Checking\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.15\u0026thinsp;\u0026plusmn;\u0026thinsp;2.45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e28.33\u0026thinsp;\u0026plusmn;\u0026thinsp;6.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.90\u0026thinsp;\u0026plusmn;\u0026thinsp;3.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.94\u0026thinsp;\u0026plusmn;\u0026thinsp;6.69\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;0.468, p\u0026thinsp;=\u0026thinsp;0.641\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;3.645, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eChecking Moles on the Back, Waist, Legs, and Groin\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.81\u0026thinsp;\u0026plusmn;\u0026thinsp;2.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e26.51\u0026thinsp;\u0026plusmn;\u0026thinsp;6.36\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.06\u0026thinsp;\u0026plusmn;\u0026thinsp;3.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.34\u0026thinsp;\u0026plusmn;\u0026thinsp;.715\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003et=-0.594, p\u0026thinsp;=\u0026thinsp;0.553\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et\u0026thinsp;=\u0026thinsp;3.289, p\u0026thinsp;=\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eChecking Method\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSelf-examination with a mirror\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.01\u0026thinsp;\u0026plusmn;\u0026thinsp;2.73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27.30\u0026thinsp;\u0026plusmn;\u0026thinsp;6.77\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWith the help of a partner/family/friend\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.88\u0026thinsp;\u0026plusmn;\u0026thinsp;2.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.74\u0026thinsp;\u0026plusmn;\u0026thinsp;4.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eI do not check\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.90\u0026thinsp;\u0026plusmn;\u0026thinsp;3.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.65\u0026thinsp;\u0026plusmn;\u0026thinsp;7.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTest value, p\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003eDifference\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;0.034, p\u0026thinsp;=\u0026thinsp;0.966\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eF\u0026thinsp;=\u0026thinsp;12.279, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003cp\u003e1\u0026thinsp;\u0026gt;\u0026thinsp;2,3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003et: Independent Groups T Test F: ANOVA\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eThe Relationship between the Mean Scores of the Participants on SCSK scale and SPBS\u003c/h2\u003e \u003cp\u003eNo statistically significant correlation was found between the mean scores of the SCSK Scale and the mean scores of the SPBS (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). However, there was a weak positive correlation between the mean score of the Sun Protection, one of the subscales of the SCSK Scale, and the mean score of the SPBS (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In addition, there was a weak negative correlation between the mean scores of Skin Cancer Risk Factors, one of the subscales of the SCSK Scale, and Sun Avoidance, one of the subscales of the SPBS (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eThe relationship between the mean scores of SCSK scale and its subscales, and the mean scores of SPBS and its subscales (n\u0026thinsp;=\u0026thinsp;201)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"11\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e1. SCSK Scale\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2. Sun Avoidance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.386**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3. Tanning\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.824**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4. Skin Cancer Risk Factors\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.480**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.316**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5. Prevention of Skin Cancer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.364**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.091\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.279**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.374**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6. Symptoms of Skin Cancer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.284**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.028\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.084\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.032\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.108\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e7. SPBS\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.168*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.122\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.135\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.078\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e8. Sun Avoidance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.073\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.081\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.061\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.163*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.079\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.057\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.753**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e9. Sunscreen Use\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.036\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.123\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.073\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.128\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.081\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.799**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.377**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e10. Hat Use\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.079\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.151\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.025\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.008\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.051\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.438**\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.180*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"11\"\u003er: Pearson correlation, *p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, **p\u0026thinsp;\u0026lt;\u0026thinsp;0.01\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe present study investigated the knowledge levels and behaviors of students of agriculture faculty in relation to skin cancer and sun protection. The findings show that most of the students do not have sufficient knowledge about skin cancer and sun protection, which has an impact on their sun protection behaviors.\u003c/p\u003e \u003cp\u003eIt is estimated that 50 to 80% of sun damage to the skin is caused by sun exposure during childhood and adolescence that is severe enough to lead to sunburn. Nonetheless, many adults do not use protective clothing and are exposed to the harmful effects of the sun due to the desire to tan their skin or having to work outdoors [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Sun protection behaviors are reported to decrease during adolescence and it was found that young adults spend most of their time in the sun and are the most determined to tan [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. The necessity of relevant awareness-raising education programs is informed by the fact that students, especially the young, are not knowledgeable about skin cancer and do not display protective behaviors.\u003c/p\u003e \u003cp\u003eThe findings also showed that a significant difference was found between the mean scores of the perceived economic status and the longest inhabited region, and the mean score of the SCSK Scale. This shows that students\u0026rsquo; socioeconomic status and the geographical region they live in may have an impact on their level of knowledge related to skin cancer. Much easier access to sun-protective equipment by students with high perceived economic status represents an important factor that can account for the observed differences in sun protection behaviors. These students can have access to products such as sunscreens, protective clothing, hats and sunglasses with high quality. In addition, they can also have easier access to health services and thus acquire more information about the harmful effects of the sun, which may encourage them to adopt protective behaviors. The students\u0026rsquo; knowledge level regarding skin cancer and sun protection was found to be low. This finding differs from other findings in the existing literature to some extent. For instance, the studies conducted found that the participants had high levels of knowledge concerning the protection against the harmful effects of the sun [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. In contrast, the low level of knowledge found in the present study is supported by S\u0026uuml;men and \u0026Ouml;ncel\u0026rsquo;s (2020) [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e] study where the skin cancer and sun knowledge scale scores of the teachers were moderate as well as by Necipoğlu\u0026rsquo;s (2022) [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] study in which participants\u0026rsquo; knowledge level was also moderate. These differences may arise from various factors including educational level, socioeconomic status, geographical region of residence, and information campaigns that the students are exposed to.\u003c/p\u003e \u003cp\u003eThe study also found that the students had low levels of sun protection behaviors. This finding is in line with a systematic review which points out that sun protection behaviors are usually at their lowest level during adolescence [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. The review also revealed that skin cancer knowledge was positively associated with sun protection during adolescence, but noted that factors such as parental behavioral control, appearance motivation, and peer and media influences may also have an impact on this relationship. This suggests that the students\u0026rsquo; low level of awareness and behavior regarding sun protection may be related to the habits acquired during adolescence and the influence of the social environment. A statistically significant difference was found between the mean scores of the SPBS and other factors including gender, hair color, skin color, the presence of solar lentigines, the presence of moles on the body, and mole-checking methods. This situation reveals that sun protection behaviors depend on individual characteristics. Studies also show that fair skin, light eye color, and the presence of nevi increase the risk of developing skin cancer [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Another study conducted with university students found that female students exhibited more informed and protective behaviors [2, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. This may imply that women pay more attention to skin health and display sun protection behaviors more frequently. The present study uncovered that the students with red, blond, and light brown hair had higher scores concerning sun protection than those with dark hair. The study performed by Altunkurek (2020) also indicated that the risk of sun damage varied according to skin type and that fair skin, light eye color, and the presence of nevi heightened the risk of developing skin cancer [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. These findings underline the lack of proper sun protection behaviors as an important factor that may elevate the risk of skin cancer and demonstrate that awareness-raising precautions are required to deal with this issue.\u003c/p\u003e \u003cp\u003eThe study showed that no statistically significant relationship was found between the mean scores of the SCSK Scale and the mean scores of the SPBS. This finding suggests that the knowledge level may not be directly translated into practical behaviors. Thus, although the level of knowledge increases, protective behaviors may not be displayed automatically. However, the weak positive correlation between the mean score of Sun Protection, among the subscales of the SCSK Scale, and the mean score of the SPBS indicates that protection behaviors may be improved with an increase in knowledge about sun protection. Nevertheless, the weak negative correlation between Skin Cancer Risk Factors and Sun Avoidance reveals that although the students are knowledgeable about the risk factors of skin cancer, they do not exhibit adequate sun avoidance behaviors.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn conclusion, this study posits that agriculture students\u0026rsquo; knowledge and awareness should be improved with regard to skin cancer and sun protection. Specifically, it is crucial to revisit education programs and teach more effective prevention strategies against skin cancer. In addition, it is recommended to promote sun protection behaviors by developing education programs tailored to the individual characteristics of students.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo financial support was received for this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical approval and consent to participate\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was performed in line with the principles of the Declaration of Helsinki. Ethics committee approval granted by Selcuk University, Non-Interventional Clinical Research Ethics Committee (IRB: 2024/21)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthorship contribution statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors contributed to the study\u0026rsquo;s conceptualization and design. Material preparation, data collection, and analysis were performed by U.S.D, B.A, I.A.C, and M.D. All authors read and approved the final manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of competing interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors are grateful to all participating students who supported the study.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eBray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229\u0026ndash;63.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHaney MO, Bahar Z, Beser A, Arkan G, Cengiz B. Psychometric Testing of the Turkish Version of the Skin Cancer and Sun Knowledge Scale in Nursing Students. J Cancer Educ. 2018;33(1):21\u0026ndash;28. doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s13187-016-1041-2\u003c/span\u003e\u003cspan address=\"10.1007/s13187-016-1041-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. PMID: 27155664.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLim HW, James WD, Rigel DS, Maloney ME, Spencer JM, Bhushan R. Adverse effects of ultraviolet radiation from the use of indoor tanning equipment: time to ban the tan. J Am Acad Dermatol. 2011;64(5):893\u0026ndash;902.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTizek L, Ziehfreund S, Bauerdorf F, Zink A. Sun protection and public information. Curr Probl Dermatol. 2021;55:289\u0026ndash;95.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHobbs C, Nahar VK, Ford MA, Bass MA, Brodell RT. Skin cancer knowledge, attitudes and behaviours in collegiate athletes. J Skin Cancer. 2014;2014:248198.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDay AK, Wilson C, Roberts RM, Hutchinson AD. The Skin Cancer and Sun Knowledge (SCSK) Scale: Validity, Reliability, and Relationship to Sun-Related Behaviors Among Young Western Adults. Health Educ Behav. 2014;41(4):440\u0026ndash;8. doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1177/1090198114529129\u003c/span\u003e\u003cspan address=\"10.1177/1090198114529129\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Epub 2014 Apr 10. PMID: 24722215.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWu YP, Stump TK, Hay JL, Buller DB, Jensen JD, Grossman D, Shen J, Haaland BA, Jones J, Tercyak KP. Protocol for a cluster-randomized trial of a school-based skin cancer preventive intervention for adolescents. Contemp Clin Trials. 2024;140:107494. doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.cct.2024.107494\u003c/span\u003e\u003cspan address=\"10.1016/j.cct.2024.107494\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Epub 2024 Mar 6. PMID: 38458557; PMCID: PMC11065585.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eS\u0026uuml;men A, \u0026Ouml;ncel S. Knowledge levels of kinder garten teacherabout skin cancer, sun protection behaviors, and affecting factors. Journal of Cancer Education 2020;1\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNecipoğlu D, Elyeli K, Bebiş H. Determining the relationship between skin cancer and sun knowledge and behavior in adults living in a region with four seasons of sun. J Basic Clin Health Sci. 2022;6(3):784\u0026ndash;90.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBalcı E, Durmuş H, Arslantaş EE, G\u0026uuml;n I. Knowledge, attitudes and behaviors of adults applying to primary health care institutions on the harmful effects of the sun and ways of protection. Turk J Dermatol. 2018;12:96\u0026ndash;9\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYilmaz M, Yavuz B, Subasi M, Kartal A, Celebioglu A, Kacar H, et al. Skin cancer knowledge and sun protection behavior among nursing students. Japan J Nurs Sci. 2015;12(1):69\u0026ndash;78.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAltunk\u0026uuml;rek ŞZ, Kaya E. The effect of sun protection self-efficacy on sun protection behavior of 8th grade students in a middle school in Ankara. Univ Health Sci J Nurs. 2020;2(3):137\u0026ndash;44.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAygun O, Ergun A. Validity and Reliability of Sun Protection Behavior Scale among Turkish Adolescent Population. Asian Nurs Res 2015;9(3):235\u0026ndash;42. doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.anr.2015.04.006\u003c/span\u003e\u003cspan address=\"10.1016/j.anr.2015.04.006\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Epub 2015 Jul 23. PMID: 26412628.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWatson TPG, Tong M, Bailie J, Ekanayake K, Bailie RS. Relationship between climate change and skin cancer and implications for prevention and management: a scoping review. Public Health. 2024;227:243\u0026ndash;249. doi: 10.1016/j.puhe.2023.12.003. Epub 2024 Jan 22. PMID: 38262229.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDaniel, W.W., Cross, C.L., 2018. Biostatistics: a foundation for analysis in the health sciences., 11th Edition, Wiley.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePampena R, Kyrgidis A, Lallas A, Moscarella E, Argenziano G, Longo C. A meta-analysis of nevus-associated melanoma: Prevalence and practical implications. J Am Acad Dermatol. 2017;77(5):938\u0026ndash;945.e4. doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jaad.2017.06.149\u003c/span\u003e\u003cspan address=\"10.1016/j.jaad.2017.06.149\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Epub 2017 Aug 29. PMID: 28864306.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDay AK, Wilson CJ, Hutchinson AD, Roberts RM. The role of skin cancer knowledge in sun-related behaviours: a systematic review. J Health Psychol. 2014;19(9):1143-62. doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1177/1359105313485483\u003c/span\u003e\u003cspan address=\"10.1177/1359105313485483\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Epub 2013 May 16. PMID: 23682066.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRossi JS, Blais LM, Redding CA, Weinstock MA. Preventing skin cancer through behavior change: Implications for intervention. Dermatol. Clin. 1995; 13(3):613\u0026ndash;622. http://dx.doi.org/20617, 35400005359758.0100\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRedding CA, Prochaska JO, Pallonen UE, Rossi JS, Velicer WF, Rossi SR, et al. Transtheoretical individualized multimedia expert systems targeting adolescents\u0026rsquo; health behaviors. Cognitive Behav. Pract. 1999; 6(2):144\u0026ndash;153. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1016/S1077-7229(99)80025-X\u003c/span\u003e\u003cspan address=\"10.1016/S1077-7229(99)80025-X\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWeinstock MA, Rossi JS, Redding CA, Maddock JE, Cottrill SD. Sun protection behaviors and stages of change for the primary prevention of skin cancers among beachgoers in Southeastern New England. Annals of Behavioral Medicine. 2000; 22(4):286\u0026ndash;293. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1007/BF02895664\u003c/span\u003e\u003cspan address=\"10.1007/BF02895664\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAygun O, Karayağız Muslu G. The Effect of a School-Based Sun Protection Program on Students' Sun Protection Behavior in Turkey. J Pediatr Nurs. 2021 Jul-Aug;59:e61-e69. doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.pedn.2021.01.030\u003c/span\u003e\u003cspan address=\"10.1016/j.pedn.2021.01.030\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Epub 2021 Feb 19. PMID: 33612314.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKasar KS, Yesilbalkan OU, Yildirim Y, Kasar KS. Nursing student\u0026rsquo;s awareness on skin cancer. Int J Caring Sci. 2019;12(2):1081\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKudubes AA, Aydın A, Ugur O, Bektas M. Factors affecting knowledge levels of oncology nurses about skin cancer and sun protection. Eur J Cancer Care. 2020;29(6)\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYan S, Xu F, Yang C, et al. Demographic differences in sun protection beliefs and behavior: a community-based study in Shanghai, China. Int J Environ Res Public Health. 2015;12:3232\u0026ndash;45.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTerzi S, Başak PY, Erturan I. Investigation of knowledge, attitudes and behaviors related to the harmful effects of the sun and ways of protection in patients who applied to the polyclinic. Turk Arch Dermatol Venereol. 2017;51.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Agriculture student, skin cancer, sun protection, nevus","lastPublishedDoi":"10.21203/rs.3.rs-5371335/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5371335/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e \u003cp\u003eThe purpose of this study is to investigate the association between the presence of nevus, skin cancer and sun knowledge, and sun protection behaviors in students of the faculty of agriculture.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThis descriptive and cross-sectional study was conducted with 201 students studying at the Faculty of Agriculture of a university in the Central Anatolia region of Turkey between April and June 2024. Research data were collected using the Personal Information Form, Skin Cancer and Sun Knowledge Scale, and Sun Protection Behavior Scale.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe mean scores obtained on the skin cancer and sun knowledge scale were The students' Skin cancer and sun knowledge scale score was 10.95\u0026thinsp;\u0026plusmn;\u0026thinsp;3.02, and the sun protection behavior scale score was 24.79\u0026thinsp;\u0026plusmn;\u0026thinsp;6.95. A statistically significant relationship was found between sun protection behaviors and various factors such as gender, hair color, skin color, and mole-checking methods (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). More specifically, students who described their skin color as dark had lower scores in sun protection, which was a statistically significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In addition, a weak negative relationship was discovered between the subscale of skin cancer risk factors and the subscale of sun avoidance (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eIt was found that students in the faculty of agriculture had inadequate knowledge and behavior regarding skin cancer and sun protection. It is important to develop educational programs and implement strategies to provide students with the necessary behaviors regarding skin cancer and sun-related health.\u003c/p\u003e","manuscriptTitle":"The Relationship Between the Presence of Nevus, Skin Cancer and Sun Knowledge, and Sun Protection Behaviors among Agriculture Students","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-02 08:51:50","doi":"10.21203/rs.3.rs-5371335/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b78871eb-e83a-4e4a-97f6-1e8a3d4c74a7","owner":[],"postedDate":"December 2nd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-12-23T16:39:11+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-02 08:51:50","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5371335","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5371335","identity":"rs-5371335","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}