Daily Minutes of Unprotected Sun Exposure (MUSE) Inventory: Measure description and comparisons to UVR sensor and sun protection survey data

Tammy K Stump, Lisa G Aspinwall, Elizabeth L Gray, Shuai Xu, Nenita Maganti, Sancy A Leachman, Nabil Alshurafa, June K Robinson, Tammy K Stump, Lisa G Aspinwall, Elizabeth L Gray, Shuai Xu, Nenita Maganti, Sancy A Leachman, Nabil Alshurafa, June K Robinson

Abstract

One in five US adults will be diagnosed with skin cancer. As most skin cancers are attributable to sun exposure, this risk factor is an important target for research and intervention. Most sun exposure measures assess frequency of specific sun-protection behaviors, which does not account for the use of multiple, potentially overlapping sun-protection methods. In contrast, the Daily Minutes of Unprotected Sun Exposure (MUSE) Inventory assesses sun-protection behavior during self-reported activities, providing several useful metrics, including duration of unprotected sun exposure on 17 body sites, combined to yield an overall MUSE score weighted by percent of body exposed. The present study was conducted July-September 2017, in Chicago, IL USA. For 10 days, participants (39 melanoma survivors; Mage = 58.59, 64.5% female) wore an ultraviolet radiation (UVR) sensor and completed the Daily MUSE Inventory each evening. The Sun Habits Survey was completed at the end of the study. Outdoor time reported in the MUSE Inventory significantly predicted outdoor time recorded by UVR sensors, B = 0.53, p < .001. For all sun-protection behaviors except shade, reports from the Daily MUSE Inventory (i.e., percentage of outdoor time a particular strategy was used) correlated with frequency ratings of the same strategy from the Sun Habits Survey (rs = 0.66-0.75, p < .05). In sum, the Daily MUSE Inventory corresponds with sensor and survey data, and provides a novel metric of unprotected sun exposure that will be useful for evaluating overall extent of sun exposure, including exposure on several smaller body sites that are at high risk for skin cancer.

Keywords: Concurrent validity; Measurement; Self-report assessment; Skin cancer; Sun protection; UVR.

Figures

Fig. 1
Fig. 1
Body site labels and surface-area percentages used for Daily MUSE Inventory scoring.
Fig. 2
Fig. 2
Illustration of sample metrics derived from the Daily MUSE Inventory based on an example scenario and several variations.
Fig. 3
Fig. 3
Bland Altman plot displaying measurement differences between time outdoors measured by the UVR sensor and MUSE Inventory, with 95% confidence intervals indicated.

References

    1. US Food and Drug Administration Sunscreen: how to help protect your skin from the sun. 2017.
    1. Armstrong B.K., Kricker A. The epidemiology of UV induced skin cancer. J. Photochem. Photobiol. B. 2001;63(1–3):8–18.
    1. Aspinwall L.G., Stump T.K., Taber J.M. Genetic test reporting of CDKN2A provides informational and motivational benefits for managing melanoma risk. Transl. Behav. Med. 2018;8(1):29–43.
    1. Autier P., Dore J.F., Reis A.C. Sunscreen use and intentional exposure to ultraviolet a and B radiation: a double blind randomized trial using personal dosimeters. Br. J. Cancer. 2000;83(9):1243–1248.
    1. Banerjee S., Hoch E.G., Kaplan P.D., Dumont E.L. Life Sciences Conference (LSC) 2017. A comparative study of wearable ultraviolet radiometers; pp. 9–12. (IEEE)
    1. Baum A., Cohen L. Successful behavioral interventions to prevent cancer: the example of skin cancer. Annu. Rev. Public Health. 1998;19:319–333.
    1. Bränström R., Kasparian N.A., Chang Y.M. Predictors of sun protection behaviors and severe sunburn in an international online study. Cancer Epidemiol. Biomark. Prev. 2010;19(9):2199–2210.
    1. Cargill J., Lucas R.M., Gies P. Validation of brief questionnaire measures of sun exposure and skin pigmentation against detailed and objective measures including vitamin D status. Photochem. Photobiol. 2013;89(1):219–226.
    1. Chodick G., Kleinerman R.A., Linet M.S. Agreement between diary records of time spent outdoors and personal ultraviolet radiation dose measurements. Photochem. Photobiol. 2008;84(3):713–718.
    1. Cooley J.H., Quale L.M. Skin cancer preventive behavior and sun protection recommendations. Semin. Oncol. Nurs. 2013;29(3):223–226.
    1. Cust A.M.E., Fenton G., Smit A. Validation of questionnaire and diary measures of time outdoors against an objective measure of personal ultraviolet radiation exposure. Photochem. Photobiol. 2018
    1. English D.R., Armstrong B.K., Kricker A., Fleming C. Sunlight and cancer. Cancer Causes Control. 1997;8(3):271–283.
    1. Feskanich D., Ma J., Fuchs C.S. Plasma vitamin D metabolites and risk of colorectal cancer in women. Cancer Epidemiol. Biomark. Prev. 2004;13(9):1502–1508.
    1. Glanz K., Yaroch A.L., Dancel M. Measures of sun exposure and sun protection practices for behavioral and epidemiologic research. Arch. Dermatol. 2008;144(2):217–222.
    1. Glanz K., Gies P., O'Riordan D.L. Validity of self-reported solar UVR exposure compared with objectively measured UVR exposure. Cancer Epidemiol. Biomark. Prev. 2010;19(12):3005–3012.
    1. Glazer A.M., Winkelmann R.R., Farberg A.S., Rigel D.S. Analysis of trends in US melanoma incidence and mortality. JAMA Dermatol. 2016;153:225–226.
    1. Harris P.A., Taylor R., Thielke R., Payne J., Gonzalez N., Conde J.G. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inform. 2009;42(2):377–381.
    1. Hay J.L., Shuk E., Schofield E. Real-time sun protection decisions in first-degree relatives of melanoma patients. Health Psychol. 2017;36(9):907–915.
    1. Hillhouse J., Turrisi R., Jaccard J., Robinson J. Accuracy of self-reported sun exposure and sun protection behavior. Prev. Sci. 2012;13(5):519–531.
    1. Holman D.M., Berkowitz Z., Guy G.P., Jr., Hartman A.M., Perna F.M. The association between demographic and behavioral characteristics and sunburn among U.S. adults - National Health Interview Survey, 2010. Prev. Med. 2014;63:6–12.
    1. Idorn L.W., Datta P., Heydenreich J., Philipsen P.A., Wulf H.C. A 3-year follow-up of sun behavior in patients with cutaneous malignant melanoma. JAMA Dermatol. 2014;150(2):163–168.
    1. Koh H.K., Geller A.C., Miller D.R., Grossbart T.A., Lew R.A. Prevention and early detection strategies for melanoma and skin cancer. Arch. Dermatol. 1996;132(4):436–443.
    1. Nelson D.E., Kreps G.L., Hesse B.W. The Health Information National Trends Survey (HINTS): development, design, and dissemination. J. Health Commun. 2004;9(5):443–460. (discussion 481-444)
    1. O'Riordan D.L., Nehl E., Gies P. Validity of covering-up sun-protection habits: association of observations and self-report. J. Am. Acad. Dermatol. 2009;60(5):739–744.
    1. Parkin D.M., Mesher D., Sasieni P. Cancers attributable to solar (ultraviolet) radiation exposure in the UK in 2010. Br. J. Cancer. 2011;105(Suppl. 2):S66–S69.
    1. Robinson J.K., Wayne J.D., Martini M.C., Hultgren B.A., Mallett K.A., Turrisi R. Early detection of new melanomas by patients with melanoma and their partners using a structured skin self-examination skills training intervention: a randomized clinical trial. JAMA Dermatol. 2016;152(9):979–985.
    1. Rogers H.W., Weinstock M.A., Feldman S.R., Coldiron B.M. Incidence estimate of nonmelanoma skin cancer (keratinocyte carcinomas) in the U.S. population, 2012. JAMA Dermatol. 2015;151(10):1081–1086.
    1. Stern R.S. Prevalence of a history of skin cancer in 2007: results of an incidence-based model. Arch. Dermatol. 2010;146(3):279–282.
    1. Stump T.K., Aspinwall L.G. Society of Behavioral Medicine. 2017. An online daily feedback intervention improves sun protection among patients with an elevated risk of skin cancer. (San Diego, CA USA)
    1. Thieden E., Philipsen P.A., Sandby-Moller J., Wulf H.C. Sunscreen use related to UV exposure, age, sex, and occupation based on personal dosimeter readings and sun-exposure behavior diaries. Arch. Dermatol. 2005;141(8):967–973.
    1. Wedro B. Burn percentages in adults: rule of Nines. 2012.
    1. Youl P.H., Janda M., Aitken J.F., Del Mar C.B., Whiteman D.C., Baade P.D. Body-site distribution of skin cancer, pre-malignant and common benign pigmented lesions excised in general practice. Br. J. Dermatol. 2011;165(1):35–43.
    1. Zinn S.P. Estimating burn surface area.

Source: PubMed

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