Assessing recall of personal sun exposure by integrating UV dosimeter and self-reported data with a network flow framework

Nabil Alshurafa*, Jayalakshmi Jain, Tammy K. Stump, Bonnie Spring, June K. Robinson

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Melanoma survivors often do not engage in adequate sun protection, leading to sunburn and increasing their risk of future melanomas. Melanoma survivors do not accurately recall the extent of sun exposure they have received, thus, they may be unaware of their personal UV exposure, and this lack of awareness may contribute towards failure to change behavior. As a means of determining behavioral accuracy of recall of sun exposure, this study compared subjective self-reports of time outdoors to an objective wearable sensor. Analysis of the meaningful discrepancies between the self-report and sensor measures of time outdoors was made possible by using a network flow algorithm to align sun exposure events recorded by both measures. Aligning the two measures provides the opportunity to more accurately evaluate false positive and false negative self-reports of behavior and understand participant tendencies to over- and under-report behavior.

Original languageEnglish (US)
Article numbere0225371
JournalPloS one
Volume14
Issue number12
DOIs
StatePublished - 2019

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Fingerprint Dive into the research topics of 'Assessing recall of personal sun exposure by integrating UV dosimeter and self-reported data with a network flow framework'. Together they form a unique fingerprint.

  • Cite this