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

doi:10.1371/journal.pone.0225371

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 journal › Article › peer-review

11 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 language	English (US)
Article number	e0225371
Journal	PloS one
Volume	14
Issue number	12
DOIs	https://doi.org/10.1371/journal.pone.0225371
State	Published - Dec 1 2019

Funding

This work was supported in part by R01 CA154908 from the National Institutes of Health (NCI) [https://www.nih.gov/about-nih/what-we-do/ nih-almanac/national-cancer-institute-nci] to JKR. TKS acknowledges salary support by NIH/NCI [https://www.nih.gov/about-nih/what-we-do/nihalmanac/national-cancer-institute-nci] training grant T32 CA193193. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This work was supported in part by R01 CA154908 from the National Institutes of Health (NCI) to Dr. Robinson. Shade devices were provided by YouV Labs, NY, NY. Dr. Stump acknowledges salary support by NIH/NCI training grant T32 CA193193. Author Contributions

ASJC Scopus subject areas

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UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1371/journal.pone.0225371

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

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.",

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AU - Spring, Bonnie

AU - Robinson, June K.

N1 - Publisher Copyright: Copyright: © 2019 Alshurafa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2019/12/1

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N2 - 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.

AB - 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.

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

Abstract

Funding

ASJC Scopus subject areas

UN SDGs

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