Characterization of personal solar ultraviolet radiation exposure using detrended fluctuation analysis

dc.contributor.authorBlesic, Suzana M.
dc.contributor.authorDu Preez, David Jean
dc.contributor.authorStratimirovic, Djordje I.
dc.contributor.authorAjtic, Jelena V.
dc.contributor.authorRamotsehoa, M. Cynthia
dc.contributor.authorAllen, Martin W.
dc.contributor.authorWright, Caradee Yael
dc.contributor.emailcaradee.wright@mrc.ac.zaen_ZA
dc.date.accessioned2020-09-25T08:23:00Z
dc.date.issued2020-03
dc.descriptionWavelet software was provided by C. Torrence and G. Compo and is available at URL: http://atoc.colorado.edu/research/wavelets/.en_ZA
dc.description.abstractStudies of personal solar ultraviolet radiation (pUVR) exposure are important to identify populations at-risk of excess and insufficient exposure given the negative and positive health impacts, respectively, of time spent in the sun. Electronic UVR dosimeters measure personal solar UVR exposure at high frequency intervals generating large datasets. Sophisticated methods are needed to analyze these data. Previously, wavelet transform (WT) analysis was applied to high-frequency personal recordings collected by electronic UVR dosimeters. Those findings showed scaling behavior in the datasets that changed from uncorrelated to long-range correlated with increasing duration of time spent in the sun. We hypothesized that the WT slope would be influenced by the duration of time that a person spends in continuum outside. In this study, we address this hypothesis by using an experimental study approach. We aimed to corroborate this hypothesis and to characterize the extent and nature of influence time a person spends outside has on the shape of statistical functions that we used to analyze individual UVR exposure patterns. Detrended fluctuation analysis (DFA) was applied to personal sun exposure data. We analyzed sun exposure recordings from skiers (on snow) and hikers in Europe, golfers in New Zealand and outdoor workers in South Africa. Results confirmed validity of the DFA superposition rule for assessment of pUVR data and showed that pUVR scaling is determined by personal patterns of exposure on lower scales. We also showed that this dominance ends at the range of time scales comparable to the maximal duration of continuous exposure to solar UVR during the day; in this way the superposition rule can be used to quantify behavioral patterns, particularly accurate if it is determined on WT curves. These findings confirm a novel way in which large datasets of personal UVR data may be analyzed to inform messaging regarding safe sun exposure for human health.en_ZA
dc.description.departmentGeography, Geoinformatics and Meteorologyen_ZA
dc.description.embargo2021-03-01
dc.description.librarianhj2020en_ZA
dc.description.sponsorshipThe South African Medical Research Council, the National Research Foundation of South Africa and the European Union's Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Grant Agreement 701785.en_ZA
dc.description.urihttp://www.elsevier.com/locate/envresen_ZA
dc.identifier.citationBlesic, S.M., Du Preez, D.J., Stratimirovic, D.I. et al. 2020, 'Characterization of personal solar ultraviolet radiation exposure using detrended fluctuation analysis', Environmental Research, vol. 182, art. 108976, pp. 1-8.en_ZA
dc.identifier.issn0013-9351 (print)
dc.identifier.issn1096-0953 (online)
dc.identifier.other10.1016/j.envres.2019.108976
dc.identifier.urihttp://hdl.handle.net/2263/76220
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2019 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Environmental Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Environmental Research, vol. 182, art. 108976, pp. 1-8, 2020. doi : 10.1016/j.envres.2019.108976.en_ZA
dc.subjectPersonal solar ultraviolet radiation (pUVR)en_ZA
dc.subjectWavelet transform (WT)en_ZA
dc.subjectDetrended fluctuation analysis (DFA)en_ZA
dc.subjectSolar ultraviolet radiation exposureen_ZA
dc.subjectEnvironmental healthen_ZA
dc.subjectStatistical analysisen_ZA
dc.subjectPersonal dosimetryen_ZA
dc.titleCharacterization of personal solar ultraviolet radiation exposure using detrended fluctuation analysisen_ZA
dc.typePostprint Articleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Blesic_Characterization_2020.pdf
Size:
901.33 KB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: