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Correlates of sun protection behaviors among melanoma survivors

BMC Public Health volume 21, Article number: 882 (2021) Cite this article

Abstract

Background

The study objective was to assess potential correlates of sun protection behaviors among melanoma survivors.

Methods

Participants were 441 melanoma survivors recruited from three health centers and a state cancer registry in the United States. Sun protection behaviors (sunscreen, shade, protective shirts, and hats) were assessed through an online survey, as were potential correlates (demographic, melanoma risk, knowledge and beliefs, psychological and social influence factors). Hierarchical multiple regression analyses were conducted.

Results

Correlates of sun protection behaviors included education, skin cancer risk factors, melanoma knowledge and beliefs, melanoma worry and distress, physician recommendation for sun protection, injunctive norms, and pro-protection beliefs (e.g., perceived barriers, self-efficacy).

Conclusions

Future efforts to improve sun safety among melanoma survivors may benefit from targeting individuals with lower education levels, and addressing sun protection social influence, barriers, and self-efficacy.

Peer Review reports

Background

With recent improvements in diagnosis and treatment, the number of individuals surviving after a melanoma diagnosis has been increasing [1]. There are more than 1.2 million melanoma survivors in the United States [2]. Unfortunately, these individuals are at elevated risk for melanoma recurrence, basal and squamous cell cancers, and second primary cancers [1]. Ultraviolet radiation from the sun is a contributing factor in the vast majority of melanomas and other skin cancers [3]. Thus, in addition to ongoing skin cancer examinations by a healthcare provider and regular skin self-examination, engaging in regular sun protection behaviors is recommended for melanoma survivors in order to reduce their risk of subsequent skin cancers [4].

Although melanoma survivors engage in more sun protection behaviors than the general population [5, 6], engagement is suboptimal [7]. Between 15 and 43% of melanoma survivors report sunbathing [8,9,10], and between 2 and 6% report indoor tanning [5, 8]. Engagement in sun protection behaviors is low (7–67% never engage in one or more sun protection behavior) and is very low with regard to wearing sun protective clothing such as a wide-brimmed hat (67% never wear) or long-sleeved shirt (41% never wear) as well as avoiding midday sun (55% never avoid) [5, 7, 11].

Understanding demographic and psychosocial factors associated with sun protection behaviors among melanoma survivors can assist in focusing more intensive intervention efforts on those less adherent survivors, as well as identify possible intervention targets. The limited research suggests that older age, female sex, greater education, and higher self-efficacy are associated with greater overall sun protection behaviors [4, 11,12,13]. Additionally, Manne and Lessin [12] found that higher levels of sun protection behaviors were associated with receipt of regular dental care (a proxy for access to healthcare), as well as greater melanoma knowledge, physician recommendation for sun protection, perceived sun protection descriptive norms, and lower advantages of sun exposure.

The aim of the current study was to expand the examination of potential correlates of sun protection behaviors to key factors that have not been explored. Selection of correlates was based on the Preventive Health Model [14], normative influences from the Theory of Planned Behavior [15], and prior research on factors related to sun protection and melanoma survivors [12, 16,17,18,19,20,21,22,23]. Correlates assessed included demographic factors, medical factors, skin cancer risk factors, melanoma knowledge and beliefs, psychological characteristics, social influence, and beliefs about sun protection behaviors (perceived benefits, perceived barriers, self-efficacy). Three new potential correlates were examined: history of sunburn, injunctive norms for sun protection behaviors, and perceived controllability of melanoma. Sunburn is an important correlate to consider, as it is a risk factor for melanoma and suggests inadequate sun protection behaviors [24]. Injunctive norms (beliefs about what behaviors significant others think one should perform) may be even more important than descriptive norms (beliefs about how others behave) in predicting behavior [25]. Third, greater perceived controllability has been found to be relevant for other cancer prevention behaviors and behavior change interventions [26]. The findings from this study could help improve understanding of potential predictors of sun protection behaviors and inform future sun safety interventions for melanoma survivors in terms of selecting important populations, behaviors, and psychosocial constructs to target.

Method

Overview

The study was conducted as an online baseline survey of a randomized controlled trial—the mySmartSkin web-based intervention designed to increase skin self-examination and sun protection behaviors among melanoma survivors. A detailed description of the mySmartSkin study, including recruitment, measures, and other analyses, is available elsewhere [27]. The Institutional Review Boards affiliated with the University and Medical Center approved this study.

Recruitment

Participants were adult melanoma survivors who were recruited through four different sites within one US state: a National Cancer Institute-designated comprehensive cancer center; a Department of Dermatology; a Medical Center; and a State Cancer Registry. Potentially eligible participants received a study information letter and consent form, and a member of the research team attempted to contact each patient to determine their eligibility. For patients recruited through the NJSCR, an information letter was mailed to each patient’s physician requesting that the physician contact the research team within 2 weeks if there were any reasons that the patient should not be contacted for the study. The research team at the Cancer Institute determined the eligibility of patients who expressed interest to take part in the study. Of the 1411 individuals assessed for eligibility and study interest, 150 (10.6%) were deemed ineligible, and 776 (55%) declined to participate, with the most common reason provided being lack of interest (n = 399). Of 485 patients who consented to the study, 441 (90.9%) participants completed the online survey. Upon completion of the baseline survey, each participant received a $25 gift card.

Eligibility criteria

Inclusion criteria to participate in the study were: a) diagnosed with primary pathologic stage 0-III cutaneous malignant melanoma; b) were 3 to 24 months post-surgical treatment; c) were not performing thorough SSE (i.e., they did not report inspecting each of 15 areas of the body at least once during the past 2 months) [28] and/or not following sun protection recommendations (i.e., a mean score of < 4.0 on a sun protection behavior index that assessed the frequency of engaging in four behaviors, each assessed on a 5-point scale from 1 = never to 5 = always [29]; d) were 18 years old and above; e) had Internet access; f) able to read and speak in English and g) able to provide informed consent.

Measures

Outcomes

Four individual sun protection behaviors (use of sunscreen with sun protection factor [SPF] 30 or more, wearing a long-sleeved shirt, wearing a wide-brimmed hat, and staying in the shade or under an umbrella) were assessed over the past 12 months (e.g., “In the last 12 months, when you were outside on a sunny day, how often did you wear a long-sleeved shirt?”) (1 = never to 5 = always) [29]. The mean of these four items was calculated to create a total index of sun protection behaviors in the past 12 months.

Correlates

Demographics

Participants reported their age, education level, marital status, and sex.

Medical factors

Medical records were used to extract months since surgery and disease stage at diagnosis (stage 0, stage 1, stage 2, and stage 3).

Skin cancer risk factors

Participants reported the presence or absence of eight skin cancer risk factors, which resulted in a total score from 0 to 8: light eye color, light natural hair color, fair untanned skin, skin sensitivity, presence of freckles, presence of large moles, ever indoor tanning, and family history of melanoma [12, 19]. Participants also reported how many times they had experienced a “red, pink, or painful sunburn that lasted a day or more” in the last year, which was dichotomized into zero versus one or more sunburns.

Melanoma knowledge and beliefs

Melanoma knowledge was assessed through 13 items (e.g., “Melanoma is the most common form of skin cancer”) [12, 20, 21]. The number of correct responses created the total score, Cronbach’s alpha (a) = .693. Beliefs about melanoma included perceived severity (6 items, a = 0.871), perceived controllability (4 items, α = 0.669), and perceived risk for melanoma recurrence (4 items, a = 0.814), each of which used a 5-point Likert-type scale [12, 23]. Perceived severity of melanoma was determined through items such as “How severe would the health consequences of having melanoma again be for you if it was caught early?”. Perceived controllability of melanoma was assessed through items such as “Nothing I do will affect my melanoma”. Perceived risk for melanoma recurrence was assessed via items such as “I feel very vulnerable to having melanoma again”.

Psychological measures

Distress about melanoma was determined by asking participants to select a number that best describe how distressed they are currently about their melanoma (1 = not at all distressed to 10 = extremely distressed) [12]. Worry about melanoma recurrence was assessed through the mean of four items, α = 0.918 [22]. An example item assessing Worry about melanoma recurrence was “How afraid are you that you may have melanoma again?”. Items for worry about melanoma recurrence were measured using a Likert-type scale with 1 = Not at all afraid to 6 = very afraid.

Social influence

Social influence factors included physician recommendation about sun protection behaviors (4 items, a = 0.741), descriptive norms regarding sun protection behaviors, and injunctive norms regarding sun protection behaviors [12, 27]. Physician recommendation about sun protection behaviors was measured through items such as “Since you were diagnosed with melanoma, has a doctor or other health care professional advised to wear sunscreen with a sun protection factor (SPF) of 30 or more when you are outside on a sunny day?” For each item, participants selected No = 0, Yes = 1, I don’t remember = 2. Descriptive norms about sun protection behaviors were determined through the mean of five items (e.g., “My friends and family use sunscreen with a SPF of 30 or more when they are outside on a sunny day”) (5 items, a = 0.772). Injunctive norms about sun protection behaviors were assessed by the mean of five items (e.g., “My friends and family think I should use sunscreen with a SPF of 30 or more when I am outside on a sunny day”) (5 items, a = 0.861). Items for descriptive and injunctive norms were measured using a Likert scale from strongly disagree = 1 to strongly agree = 5.

Beliefs about sun protection behaviors

These were measured through perceived benefits regarding sun protection behaviors (12 items, a = 0.902), perceived barriers regarding sun protection behaviors (23 items, a = 0.903), and self-efficacy underlying sun protection behaviors (12 items, a = 0.938) [16, 30, 31]. Benefits of sun protection behaviors were determined through items such as “Protecting my skin from the sun using sunscreen with a SPF of 30 or more will help me to look younger for longer”. Barriers underlying sun protection behaviors were determined through items such as “For me, using sunscreen with a SPF of 30 or more when I am outside on a sunny day is inconvenient”. Items for benefits and barriers were measured using a Likert scale from strongly disagree = 1 to strongly agree = 5. Self-efficacy underlying sun protection behaviors was assessed through items such as “How confident are you that when you are outside on a sunny day, you can wear sunscreen with a SPF of 30 or more?”. Items for self-efficacy were measured using a Likert-type scale Not at all confident = 1 to Very confident = 5.

Analyses

Data were analyzed using IBM SPSS Statistics (version 25). Univariate analyses were conducted to assess the relationship between the demographic variables and sun protection behaviors. Hierarchical multiple regression analyses were conducted to evaluate predictors of sun protection behaviors. Variables were entered into the model in seven steps: demographic variables were entered first, then cancer-related factors, skin cancer risk factors, knowledge and beliefs, psychological characteristics, social influence, and beliefs about sun protection behaviors (perceived benefits, perceived barriers, self-efficacy). Change in R2 was computed at each step. Statistical significance was determined at an alpha level of 0.05.

Results

Table 1 shows the demographic characteristics of the sample. Of participants who were ineligible or declined to participate and provided a reason, the most common were lack of interest, too busy, or no computer access. Ninety-eight percent of the sample was non-Hispanic White. Approximately 68% of the sample were college graduates, and almost 80% were married. On average, patients’ sun protection total score was M = 3.27 (SD = 0.75), with a possible range of 1 to 5. Examination of the four individual items indicated that patients reported using sunscreen, M = 3.83, SD = 1.07, and staying in the shade, M = 3.58, SD = 0.94, more often than they reported wearing either long sleeved shirts, M = 2.84, SD = 1.11, or hats, M = 2.83, SD = 1.34.

Table 1 Characteristics of the sample, n = 441
Full size table

Univariate findings for the demographic variables are reported here. Although there was not a significant sex difference for overall sun protection behaviors, women reported using sunscreen more (women M = 3.99, SD = 0.97, men M = 3.68, SD = 1.15, t(439) = 2.98, p = .003) and staying in the shade more than men (women M = 3.68, SD = 0.96, men M = 3.48, SD = 0.92, t(439) = 2.20, p = .028). Individuals living with a partner or spouse reported higher average sun protection behaviors, M = 3.31, SD = 0.74, than those who were alone, M = 3.11, SD = 0.78, t(439) = 2.20, p = .028, but there were no significant differences for partnered status on the individual sun protection behavior items. There was evidence of differences as a function of education level. Spitting the sample into two groups (a BA/BS or more education versus those with some college or less), individuals with more education reported higher average sun protection, M = 3.34, SD = 0.75, than those with less education, M = 3.12, SD = 0.73, t(439) = 2.79, p = .005. More educated patients also reported wearing a long-sleeved shirt more and wearing a hat more than those with less education (shirt: t(432) = 2.51, p = 013, more educated M = 2.93, SD = 1.10, less educated M = 2.65, SD = 1.09; hat t(439) = 2.25, p = .025, more educated M = 2.92, SD = 1.34, less educated M = 2.62, SD = 1.32).

Table 2 presents the results of the hierarchical regression model predicting total sun protection behaviors. The demographic variables together accounted for about 3% of the variance in sun protection behaviors. However, the only significant unique demographic predictor over and above all other variables in the model was education level such that more educated individuals (i.e., those with a BA/BS or more education) reported engaging in more sun protection behaviors. Although cancer-related variables did not predict sun protection behaviors, whether the person reported having a sunburn at least once during the past year, together with skin cancer risk factors, accounted for about 4% of the variance. Overall, individuals with greater risk factors tended to report higher sun protection, but those who had had a sunburn reported lower protection. Although neither of these effects were statistically significant in the full model, both were significant in the model that included only those variables along with cancer-related variables and demographics.

Table 2 Hierarchical multiple regression results predicting total sun protection behaviors, n = 441
Full size table

The addition of melanoma knowledge and belief related variables increased the percent of variance explained by 3%. Severity, controllability, and risk were not significant in either the full model or the model that included only the previous steps of the model, but melanoma knowledge was a significant positive predictor of sun protection behavior in the model that included only the earlier steps and the four knowledge and belief predictors. People with greater melanoma knowledge reported higher sun protection. Psychological distress and worry added about 2% to the variance explained, but this effect was mostly driven by worry, which was significant in the incremental model but not in the full model.

The final two steps of the model accounted for the highest explained variance in sun protection behavior. People whose physicians encouraged them to engage in sun protection behaviors reported doing so more, and those who reported higher injunctive norms engaged in more sun protection behaviors. This step of the model accounted for 21% of the variance in sun protection behaviors over and above the other variables in the model. The final step in the model, which included variables assessing sun protection beliefs accounted for 20% of the variance. Individuals who reported greater barriers reported lower sun protection behaviors, and those with higher sun protection self-efficacy reported greater sun protection behaviors.

Discussion

Results from this large statewide sample confirm that engagement in sun safety behaviors among melanoma survivors is suboptimal, particularly the use of protective clothing during sun exposure. In terms of correlates, our finding that sunburn is associated with less sun protection is particularly important. Despite their risk for melanoma recurrence [1], about a quarter of participants reported at least one sunburn in the last year. Some survivors had a sunburn occur after diagnosis or treatment. It is not clear whether these sunburns were obtained due to intentional sunbathing and/or tanning or due to unintentional improper sun protection behaviors. In addition, there are limited available data regarding the level of sun protection needed to prevent sunburns or melanoma recurrence. Regardless, this finding has important implications for intervention.

Survivors who engaged in lower levels of sun protection behaviors had less family and friend support to engage in sun protection. This finding is not surprising, given the importance of social support for many health-related behaviors including those pertaining to cancer prevention and control (e.g., [32, 33]). Although descriptive norms (i.e., family and friends protect their skin) were associated with sun protection behaviors in a prior study of melanoma survivors [12], only injunctive norms were associated with protection in the current study. Perceiving that one’s family and friends think the survivor should protect their skin and that their physician recommends skin protection were associated with sun protection behaviors, but the perceived sun protection behaviors of significant others was not. This finding is novel. The importance of physician recommendations confirms prior research finding an association with sun safety among melanoma survivors and their first degree relatives [12, 34] as well as other health behaviors such as tobacco cessation and weight loss [35, 36]. However, few randomized controlled trials have examined the impact of physician recommendations on sun safety behaviors [37, 38]. Melanoma knowledge and beliefs overall contributed a small but significant amount of variance to sun protection behaviors. However, contrary to our expectations, perceived controllability of melanoma was not associated with sun protection behaviors, perhaps because participants rated controllability fairly highly with minimal variability, thus limiting the ability to detect potential differences.

Consistent with prior work, survivors with poorer sun protection behaviors were also likely to endorse greater barriers to sun protection behaviors and less confidence in performing these behaviors. Barriers to sun protection behaviors such as perceived inconvenience and unpleasantness of sunscreen, protection clothing, and shade may have contributed to patients’ behaviors leading to their initial melanoma diagnoses and, if ongoing, may contribute to risk for recurrence [1, 3, 39]. Self-efficacy is needed to manage these barriers in order to adopt and maintain sun protection habits [4, 12]. These sun protection beliefs and social influence factors together accounted for 41% of the variance in the sun protection behavior model. Thus, it may be beneficial for healthcare providers and other significant others to recommend sun safety and to assist survivors in developing self-efficacy to address barriers to sun protection, such as by helping to explore options for clothing with high ultraviolet protection factors, various sunscreen formulations, and portable and inexpensive shade structures.

This study offers several implications for future interventions to improve sun safety among melanoma survivors in terms of which behaviors, populations, and psychosocial constructs to target. Interventions for melanoma survivors may benefit from emphasizing wearing protective shirts and hats and avoiding sunburn as well as specifically targeting individuals who have burned in the past or with lower levels of education. Future interventions to improve sun safety among melanoma survivors should also focus on reducing barriers, increasing self-efficacy, and increasing social support, including physician and significant other recommendations for sun protection. For example, prior studies that have combined physician counseling with computerized support that could generate tailored feedback reports have been found to improve sun safety behaviors [38]. A prior intervention study that focused on perceived risk demonstrated improved sun protection behaviors among melanoma survivors [40]. However, perceived risk of recurrence accounted for little variance in our model.

Strengths of the current study include the largest US sample of melanoma survivors from several sources across an entire state and assessment of a diverse set of constructs, including several novel ones. Limitations include the cross-sectional nature of the data and that the sample was highly-educated and drawn only from one US state. Thus, engagement in sun protection may not generalize to other populations and settings. However, the relationships among the correlates and the outcomes are likely similar across populations. Participants in the current study may differ from other melanoma survivors. Although most individuals diagnosed with melanoma are white, our sample was 98% white. Additionally, individuals who reported both high levels of sun protection behaviors and high engagement in skin self-examination were not eligible for the study. However, this accounts for only about 1% of individuals screened for eligibility. Finally, the study did not assess sun avoidance as a potential sun protection strategy, which could have affected the results by lessening the need for other types of sun protection. In conclusion, the current study suggests a need for future research to address psychosocial correlates of sun protection behaviors among high-risk melanoma survivors in order to increase sun safety and ultimately reduce their risk for melanoma recurrence.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Caini S, Boniol M, Botteri E, Tosti G, Bazolli B, Russell-Edu W, et al. The risk of developing a second primary cancer in melanoma patients: a comprehensive review of the literature and meta-analysis. J Dermatol Sci. 2014;75(1):3–9. https://doi.org/10.1016/j.jdermsci.2014.02.007.

    Article  PubMed  Google Scholar 

  2. Noone AM, Howlader N, Krapcho M, Miller D, Brest A, Yu M, et al. SEER cancer statistics review, 1975-2015: National Cancer Institute; 2018. [Available from: https://seer.cancer.gov/archive/csr/1975_2015/#contents

    Google Scholar 

  3. Parkin DM, Mesher D, Sasieni P. 13. Cancers attributable to solar (ultraviolet) radiation exposure in the UK in 2010. Br J Cancer. 2011;105(2):S66–S9. https://doi.org/10.1038/bjc.2011.486.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Mujumdar UJ, Hay JL, Monroe-Hinds YC, Hummer AJ, Begg CB, Wilcox HB, et al. Sun protection and skin self-examination in melanoma survivors. Psychooncology. 2009;18(10):1106–15. https://doi.org/10.1002/pon.1510.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Mayer D, Layman A, Carlson J. Sun-protection behaviors of melanoma survivors. J Am Acad Dermatol. 2012;66(1):e9–e10. https://doi.org/10.1016/j.jaad.2010.10.002.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Vogel RI, Strayer LG, Engelman L, Nelson HH, Blaes AH, Anderson KE, et al. Sun exposure and protection behaviors among long-term melanoma survivors and population controls. Cancer Epidemiol Biomark Prev. 2017;26(4):607–13. https://doi.org/10.1158/1055-9965.EPI-16-0854.

    Article  Google Scholar 

  7. Nahar VK, Allison Ford M, Brodell RT, Boyas JF, Jacks SK, Biviji-Sharma R, et al. Skin cancer prevention practices among malignant melanoma survivors: a systematic review. J Cancer Res Clin Oncol. 2016;142(6):1273–83. https://doi.org/10.1007/s00432-015-2086-z.

    Article  CAS  PubMed  Google Scholar 

  8. Freiman A, Yu J, Loutfi A, Wang B. Impact of melanoma diagnosis on sun-awareness and protection: efficacy of education campaigns in a high-risk population. J Cutan Med Surg. 2004;8(5):303–9. https://doi.org/10.1177/120347540400800501.

    Article  PubMed  Google Scholar 

  9. Soto E, Lee H, Saladi RN, Gerson Y, Manginani S, Lam K, et al. Behavioral factors of patients before and after diagnosis with melanoma: a cohort study - are sun-protection measures being implemented? Melanoma Res. 2010;20(2):147–52. https://doi.org/10.1097/CMR.0b013e328328f802.

    Article  PubMed  Google Scholar 

  10. Živković MV, Dediol I, Ljubičić I, Šitum M. Sun behaviour patterns and perception of illness among melanoma patients. J Eur Acad Dermatol Venereol. 2012;26(6):724–9. https://doi.org/10.1111/j.1468-3083.2011.04154.x.

    Article  PubMed  Google Scholar 

  11. Bowen D, Jabson J, Haddock N, Hay J, Edwards K. Skin care behaviors among melanoma survivors. Psychooncology. 2012;21(12):1285–91. https://doi.org/10.1002/pon.2017.

    Article  PubMed  Google Scholar 

  12. Manne S, Lessin S. Prevalence and correlates of sun protection and skin self-examination practices among cutaneous malignant melanoma survivors. J Behav Med. 2006;29(5):419–34. https://doi.org/10.1007/s10865-006-9064-5.

    Article  PubMed  Google Scholar 

  13. von Schuckmann LA, Wilson LF, Hughes MCB, Beesley VL, Janda M, van der Pols JC, et al. Sun protection behavior after diagnosis of high-risk primary melanoma and risk of a subsequent primary. J Am Acad Dermatol. 2019;80(1):139–48. https://doi.org/10.1016/j.jaad.2018.06.068.

    Article  Google Scholar 

  14. Myers RE, Ross E, Jepson C, Wolf T, Balshem A, Millner L, et al. Modeling adherence to colorectal cancer screening. Prev Med. 1994;23(2):142–51. https://doi.org/10.1006/pmed.1994.1020.

    Article  CAS  PubMed  Google Scholar 

  15. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. https://doi.org/10.1016/0749-5978(91)90020-T.

    Article  Google Scholar 

  16. Bränström R, Kasparian NA, Chang Y-M, Affleck P, Tibben A, Aspinwall LG, et al. Predictors of sun protection behaviors and severe sunburn in an international online study. Cancer Epidemiol Biomark Prev. 2010;19(9):2199–210. https://doi.org/10.1158/1055-9965.EPI-10-0196.

    Article  Google Scholar 

  17. Bruce AF, Theeke L, Mallow J. A state of the science on influential factors related to sun protective behaviors to prevent skin cancer in adults. Int J Nurs Sci. 2017;4(3):225–35. https://doi.org/10.1016/j.ijnss.2017.05.005.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Manne S, Jacobsen PB, Ming ME, Winkel G, Dessureault S, Lessin SR. Tailored versus generic interventions for skin cancer risk reduction for family members of melanoma patients. Health Psychol. 2010;29(6):583–93. https://doi.org/10.1037/a0021387.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Bränström R, Chang Y-M, Kasparian N, Affleck P, Tibben A, Aspinwall LG, et al. Melanoma risk factors, perceived threat and intentional tanning: an international online survey. Eur J Cancer Prev. 2010;19(3):216–26. https://doi.org/10.1097/CEJ.0b013e3283354847.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Gillen W, Forman SB, Nunley JR, Bhole S, Eliason K, Fox P, et al. Check your skin: insights regarding skin cancer education. J Am Acad Dermatol. 2011;65(2):427–8.e1.

    Article  Google Scholar 

  21. Coups EJ, Manne SL, Stapleton JL, Tatum KL, Goydos JS. Skin self-examination behaviors among individuals diagnosed with melanoma. Melanoma Res. 2016;26(1):71–6. https://doi.org/10.1097/CMR.0000000000000204.

    Article  PubMed  Google Scholar 

  22. Moss-Morris R, Weinman J, Petrie KJ, Horne R, Cameron LD, Buick D. The revised illness perception questionnaire (IPQ-R). Psychol Health. 2002;17(1):1–16. https://doi.org/10.1080/08870440290001494.

    Article  Google Scholar 

  23. Vickberg SMJ. The concerns about recurrence scale (CARS): a systematic measure of women’s fears about the possibility of breast cancer recurrence. Ann Behav Med. 2003;25(1):16–24. https://doi.org/10.1207/S15324796ABM2501_03.

    Article  PubMed  Google Scholar 

  24. Belbasis L, Stefanaki I, Stratigos AJ, Evangelou E. Non-genetic risk factors for cutaneous melanoma and keratinocyte skin cancers: an umbrella review of meta-analyses. J Dermatol Sci. 2016;84(3):330–9. https://doi.org/10.1016/j.jdermsci.2016.09.003.

    Article  PubMed  Google Scholar 

  25. Hirschey R, Bryant AL, Macek C, Battaglini C, Santacroce S, Courneya KS, et al. Predicting physical activity among cancer survivors: meta-analytic path modeling of longitudinal studies. Health Psychol. 2020;39(4):269–80. https://doi.org/10.1037/hea0000845.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Powe BD, Finnie R. Cancer fatalism: the state of the science. Cancer Nurs. 2003;26(6):454–67.

    Article  Google Scholar 

  27. Coups EJ, Manne SL, Ohman Strickland P, Hilgart M, Goydos JS, Heckman CJ, et al. Randomized controlled trial of the mySmartSkin web-based intervention to promote skin self-examination and sun protection behaviors among individuals diagnosed with melanoma: study design and baseline characteristics. Contemp Clin Trials. 2019;83:117–27. https://doi.org/10.1016/j.cct.2019.06.014.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Weinstock MA, Risica PM, Martin RA, Rakowski W, Smith KJ, Berwick M, et al. Reliability of assessment and circumstances of performance of thorough skin self-examination for the early detection of melanoma in the check-it-out project. Prev Med. 2004;38(6):761–5. https://doi.org/10.1016/j.ypmed.2004.01.020.

    Article  PubMed  Google Scholar 

  29. Glanz K, Yaroch AL, Dancel M, Saraiya M, Crane LA, Buller DB, et al. Measures of sun exposure and sun protection practices for behavioral and epidemiologic research. Arch Dermatol. 2008;144(2):217–22. https://doi.org/10.1001/archdermatol.2007.46.

    Article  PubMed  Google Scholar 

  30. Coups EJ, Manne SL, Jacobsen PB, Ming ME, Heckman CJ, Lessin SR. Skin surveillance intentions among family members of patients with melanoma. BMC Public Health. 2011;11(1):866. https://doi.org/10.1186/1471-2458-11-866.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Azzarello LM, Jacobsen PB. Factors influencing participation in cutaneous screening among individuals with a family history of melanoma. J Am Acad Dermatol. 2007;56(3):398–406. https://doi.org/10.1016/j.jaad.2006.10.024.

    Article  PubMed  Google Scholar 

  32. McDonough MH, Beselt LJ, Daun JT, Shank J, Culos-Reed SN, Kronlund LJ, et al. The role of social support in physical activity for cancer survivors: a systematic review. Psychooncology. 2019;28(10):1945–58. https://doi.org/10.1002/pon.5171.

    Article  PubMed  Google Scholar 

  33. Rogers CR, Mitchell JA, Franta GJ, Foster MJ, Shires D. Masculinity, racism, social support, and colorectal cancer screening uptake among African American men: a systematic review. Am J Mens Health. 2017;11(5):1486–500. https://doi.org/10.1177/1557988315611227.

    Article  PubMed  Google Scholar 

  34. Manne S, Fasanella N, Connors J, Floyd B, Wang H, Lessin S. Sun protection and skin surveillance practices among relatives of patients with malignant melanoma: prevalence and predictors. Prev Med. 2004;39(1):36–47. https://doi.org/10.1016/j.ypmed.2004.02.028.

    Article  PubMed  Google Scholar 

  35. Rose SA, Poynter PS, Anderson JW, Noar SM, Conigliaro J. Physician weight loss advice and patient weight loss behavior change: a literature review and meta-analysis of survey data. Int J Obes. 2013;37(1):118–28. https://doi.org/10.1038/ijo.2012.24.

    Article  CAS  Google Scholar 

  36. Ritvo PG, Irvine MJ, Lindsay EA, Kraetschmer N, Blair N, Shnek ZM. A critical review of research related to family physician-assisted smoking cessation interventions. Cancer Prev Control. 1997;1(4):289–303.

    CAS  PubMed  Google Scholar 

  37. Norman GJ, Adams MA, Calfas KJ, Covin J, Sallis JF, Rossi JS, et al. A randomized trial of a multicomponent intervention for adolescent sun protection behaviors. Arch Pediatr Adolesc Med. 2007;161(2):146–52. https://doi.org/10.1001/archpedi.161.2.146.

    Article  PubMed  Google Scholar 

  38. Lin JS, Eder M, Weinmann S, Zuber SP, Beil TL, Plaut D, et al. U.S. Preventive services task force evidence syntheses, formerly systematic evidence reviews. Behavioral counseling to prevent skin cancer: systematic evidence review to update the 2003 US preventive services task force recommendation. Rockville: Agency for Healthcare Research and Quality (US); 2011.

    Google Scholar 

  39. van der Leest RJT, Flohil SC, Arends LR, de Vries E, Nijsten T. Risk of subsequent cutaneous malignancy in patients with prior melanoma: a systematic review and meta-analysis. J Eur Acad Dermatol Venereol. 2015;29(6):1053–62. https://doi.org/10.1111/jdv.12887.

    Article  PubMed  Google Scholar 

  40. Bowen DJ, Burke W, Hay JL, Meischke H, Harris JN. Effects of web-based intervention on risk reduction behaviors in melanoma survivors. J Cancer Surviv. 2015;9(2):279–86. https://doi.org/10.1007/s11764-014-0412-0.

    Article  PubMed  Google Scholar 

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Acknowledgements

We gratefully acknowledge the following individuals for their valuable contributions to this project: Ashley Day, Kristina Tatum, Carolina Lozada, Megan Novak, Joseph Gallo, Adrienne Viola, Hope Barone, Sarah Scharf, Kevin Criswell, Michelle Moscato, Evelyn Blas, Cynthia Nunez, Sara Ghauri, Jie Li, Lisa Paddock, Kirsten MacDonnell, Sarah Adams, Gabe Heath, Steve Johnson, Nicole Le, and Grace Young.

Funding

This research was supported by the US National Cancer Institute (National Institutes of Health) grant R01CA171666 (PI:EC), by the Biometrics Shared Resource (NCI-CCSG P30CA072720–5918), and the Population Science Research Support Shared Resource at Rutgers Cancer Institute of New Jersey, USA. The sponsor was not involved in the project design, in the collection, analysis and interpretation of data, in the writing of this article, or in the decision to submit this article for publication. This research was facilitated by the New Jersey State Cancer Registry, Cancer Epidemiology Services, New Jersey Department of Health, which is funded by the Surveillance, Epidemiology and End Results (SEER) Program of the National Cancer Institute under contract HHSN261201300021I and control No. N01-PC- 2013-00021, the National Program of Cancer Registries (NPCR), Centers for Disease Control and Prevention under grant NU5U58DP006279–02-00 as well as the State of New Jersey and the Rutgers Cancer Institute of New Jersey.

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Author notes

  1. Elliot J. Coups is deceased.

Authors and Affiliations

  1. Rutgers, The State University of New Jersey, 195 Little Albany St., New Brunswick, NJ, 08901, USA

    Carolyn J. Heckman, Sharon L. Manne, Trishnee Bhurosy & Elliot J. Coups

  2. Michigan State University, East Lansing, MI, USA

    Deborah A. Kashy

  3. University of Virginia, Charlottesville, VA, USA

    Lee Ritterband

Authors
  1. Carolyn J. Heckman
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  2. Sharon L. Manne
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  3. Deborah A. Kashy
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  4. Trishnee Bhurosy
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  5. Lee Ritterband
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  6. Elliot J. Coups
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Contributions

EC and SM were the principal investigators of the main grant. EC and SM conceptualized and designed the study. LR directed the creation of the software used in the work. EC acquired the data. DK analyzed the data. CH, SM, and DK interpreted the data. CH, TB, and DK drafted the manuscript. All authors other than EC substantively revised it. All authors (except for EC, who is deceased) have approved the submitted version.

Corresponding author

Correspondence to Carolyn J. Heckman.

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Ethics approval and consent to participate

This research was performed in accordance with the Declaration of Helsinki, was approved by the Rutgers Institutional Review Board (Pro2014000095), and all participants provided informed consent.

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Not applicable.

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Heckman, C.J., Manne, S.L., Kashy, D.A. et al. Correlates of sun protection behaviors among melanoma survivors. BMC Public Health 21, 882 (2021). https://doi.org/10.1186/s12889-021-10951-1

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BMC Public Health

ISSN: 1471-2458

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