Skip to main content
An official website of the United States government
Grant Details

Grant Number: 1R21CA137532-01A1 Interpret this number
Primary Investigator: Hay, Jennifer
Organization: Sloan-Kettering Inst Can Research
Project Title: Measuring Real Time Decision-Making About Uvr Protection
Fiscal Year: 2009


Abstract

DESCRIPTION (provided by applicant): The development of interventions to maximize consistency in ultraviolet radiation (UVR) protection rests on improved understanding of decision-making factors that contribute to daily variation in UVR protection. In this study, we use Ethnographic Decision Tree Modeling to examine decision-making regarding sunscreen use, shade-seeking, and UVR protection behavior in melanoma first-degree relatives (FDRs). In Phase I, we will generate the models via qualitative ethnographic interviews with 25 melanoma FDRs, and then will construct a composite decision-making model for each of the three UVR protection outcomes. In Phase II we will establish the validity of the models using ecological momentary assessment of UVR protection (over 14 summer days, at 1 pm and 5 pm daily) in 60 FDRs. We will recruit equal numbers of women and men, and equal numbers of those who perceive high and low advantages of tanning, given the importance of these predictors for UVR protection. Specific Aim I is to generate and establish the validity of the models explaining decision-making about three UVR protection behaviors (sunscreen use, shade-seeking, use of protective clothing) in melanoma FDRs, and Specific Aim II is to examine theory-driven affective and cognitive predictors of sun protection maintenance (sunscreen use, shade-seeking, and use of sun protective clothing) assessed in real time. We adopt a theory-informed approach to decision-making, and so expect that the factors identified inductively in Phase I, as well as between- and within-subject variation in melanoma threat, efficacy beliefs, and satisfaction with UVR protection drawn from Witte's Extended Parallel Processing Model and Rothman's theory of health behavior maintenance will predict UVR protection behaviors. We will also examine gender and tanning attitudes as covariates of these effects. The study findings will increase our understanding of the decision- making context for behavioral maintenance of UVR protection, and dictate novel intervention strategies to reduce behavioral inconsistency - and increase behavioral maintenance - of UVR protection in those at high risk for melanoma. PUBLIC HEALTH RELEVANCE: This study will examine daily UVR protection and decision-making about protection in 60 first degree family members of melanoma patients who complete 14-day diaries via personal digital assistants and audio-taped narratives. We will employ qualitative and quantitative research strategies and determine between and within- person variability in UVR protection and decision-making that will inform the development of interventions to increase UVR protection maintenance among those who are at risk for melanoma.



Publications

Unpacking Habit With Bayesian Mixed Models: Dynamic Approach to Health Behaviors With Interchangeable Elements, Illustrated Through Multiple Sun Protection Behaviors.
Authors: Li Y. , Schofield E. , Hay J.L. .
Source: The Quantitative Methods For Psychology, 2023; 19(3), p. 265-280.
PMID: 39323564
Related Citations

Feasibility and acceptability of using an IVRS to assess decision making about sun protection.
Authors: Holland S.M. , Shuk E. , Burkhalter J. , Shouery M. , Li Y. , Hay J.L. .
Source: Psycho-oncology, 2019-09-13 00:00:00.0; , .
EPub date: 2019-09-13 00:00:00.0.
PMID: 31520426
Related Citations

Real-time sun protection decisions in first-degree relatives of melanoma patients.
Authors: Hay J.L. , Shuk E. , Schofield E. , Loeb R. , Holland S. , Burkhalter J. , Li Y. .
Source: Health Psychology : Official Journal Of The Division Of Health Psychology, American Psychological Association, 2017 Sep; 36(9), p. 907-915.
PMID: 28846008
Related Citations

Assessing real-time sun protection decisions using audio diaries: feasibility and outcomes.
Authors: Fitzpatrick L. , Pulinat J. , Shuk E. , Holland S. , Burkhalter J. , Hay J.L. .
Source: Psycho-oncology, 2017 Mar; 26(3), p. 408-411.
EPub date: 2016-02-08 00:00:00.0.
PMID: 26853546
Related Citations

Does colorectal cancer risk perception predict screening behavior? A systematic review and meta-analysis.
Authors: Atkinson T.M. , Salz T. , Touza K.K. , Li Y. , Hay J.L. .
Source: Journal Of Behavioral Medicine, 2015 Dec; 38(6), p. 837-50.
PMID: 26280755
Related Citations

"I don't know" my cancer risk: exploring deficits in cancer knowledge and information-seeking skills to explain an often-overlooked participant response.
Authors: Hay J.L. , Orom H. , Kiviniemi M.T. , Waters E.A. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2015 May; 35(4), p. 436-45.
PMID: 25810268
Related Citations

"Don't know" responses to risk perception measures: implications for underserved populations.
Authors: Waters E.A. , Hay J.L. , Orom H. , Kiviniemi M.T. , Drake B.F. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2013 Feb; 33(2), p. 271-81.
PMID: 23468476
Related Citations

Awareness of the 2009 US Preventive Services Task Force recommended changes in mammography screening guidelines, accuracy of awareness, sources of knowledge about recommendations, and attitudes about updated screening guidelines in women ages 40-49 and 50+.
Authors: Kiviniemi M.T. , Hay J.L. .
Source: Bmc Public Health, 2012-10-24 00:00:00.0; 12, p. 899.
EPub date: 2012-10-24 00:00:00.0.
PMID: 23092125
Related Citations

Factors Associated With Inconsistent Sun Protection In First-degree Relatives Of Melanoma Survivors
Authors: Shuk E. , Burkhalter J.E. , Baguer C.F. , Holland S.M. , Pinkhasik A. , Brady M.S. , Coit D.G. , Ariyan C.E. , Hay J.L. .
Source: Qualitative Health Research, 2012 Jul; 22(7), p. 934-45.
PMID: 22645220
Related Citations

Skin cancer concerns and genetic risk information-seeking in primary care.
Authors: Hay J. , Kaphingst K.A. , Baser R. , Li Y. , Hensley-Alford S. , McBride C.M. .
Source: Public Health Genomics, 2012; 15(2), p. 57-72.
PMID: 21921576
Related Citations



Back to Top