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Associations between self-referral and health behavior responses to genetic risk information

BACKGROUND: Studies examining whether genetic risk information about common, complex diseases can motivate individuals to improve health behaviors and advance planning have shown mixed results. Examining the influence of different study recruitment strategies may help reconcile inconsistencies. METH...

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Autores principales: Christensen, Kurt D, Roberts, J Scott, Zikmund-Fisher, Brian J, Kardia, Sharon LR, McBride, Colleen M, Linnenbringer, Erin, Green, Robert C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311425/
https://www.ncbi.nlm.nih.gov/pubmed/25642295
http://dx.doi.org/10.1186/s13073-014-0124-0
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author Christensen, Kurt D
Roberts, J Scott
Zikmund-Fisher, Brian J
Kardia, Sharon LR
McBride, Colleen M
Linnenbringer, Erin
Green, Robert C
author_facet Christensen, Kurt D
Roberts, J Scott
Zikmund-Fisher, Brian J
Kardia, Sharon LR
McBride, Colleen M
Linnenbringer, Erin
Green, Robert C
author_sort Christensen, Kurt D
collection PubMed
description BACKGROUND: Studies examining whether genetic risk information about common, complex diseases can motivate individuals to improve health behaviors and advance planning have shown mixed results. Examining the influence of different study recruitment strategies may help reconcile inconsistencies. METHODS: Secondary analyses were conducted on data from the REVEAL study, a series of randomized clinical trials examining the impact of genetic susceptibility testing for Alzheimer’s disease (AD). We tested whether self-referred participants (SRPs) were more likely than actively recruited participants (ARPs) to report health behavior and advance planning changes after AD risk and APOE genotype disclosure. RESULTS: Of 795 participants with known recruitment status, 546 (69%) were self-referred and 249 (31%) had been actively recruited. SRPs were younger, less likely to identify as African American, had higher household incomes, and were more attentive to AD than ARPs (all P < 0.01). They also dropped out of the study before genetic risk disclosure less frequently (26% versus 41%, P < 0.001). Cohorts did not differ in their likelihood of reporting a change to at least one health behavior 6 weeks and 12 months after genetic risk disclosure, nor in intentions to change at least one behavior in the future. However, interaction effects were observed where ε4-positive SRPs were more likely than ε4-negative SRPs to report changes specifically to mental activities (38% vs 19%, p < 0.001) and diets (21% vs 12%, p = 0.016) six weeks post-disclosure, whereas differences between ε4-positive and ε4-negative ARPs were not evident for mental activities (15% vs 21%, p = 0.413) or diets (8% versus 16%, P = 0.190). Similarly, ε4-positive participants were more likely than ε4-negative participants to report intentions to change long-term care insurance among SRPs (20% vs 5%, p < 0.001), but not ARPs (5% versus 9%, P = 0.365). CONCLUSIONS: Individuals who proactively seek AD genetic risk assessment are more likely to undergo testing and use results to inform behavior changes than those who respond to genetic testing offers. These results demonstrate how the behavioral impact of genetic risk information may vary according to the models by which services are provided, and suggest that how participants are recruited into translational genomics research can influence findings. TRIAL REGISTRATION: ClinicalTrials.gov NCT00089882 and NCT00462917 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-014-0124-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-43114252015-01-31 Associations between self-referral and health behavior responses to genetic risk information Christensen, Kurt D Roberts, J Scott Zikmund-Fisher, Brian J Kardia, Sharon LR McBride, Colleen M Linnenbringer, Erin Green, Robert C Genome Med Research BACKGROUND: Studies examining whether genetic risk information about common, complex diseases can motivate individuals to improve health behaviors and advance planning have shown mixed results. Examining the influence of different study recruitment strategies may help reconcile inconsistencies. METHODS: Secondary analyses were conducted on data from the REVEAL study, a series of randomized clinical trials examining the impact of genetic susceptibility testing for Alzheimer’s disease (AD). We tested whether self-referred participants (SRPs) were more likely than actively recruited participants (ARPs) to report health behavior and advance planning changes after AD risk and APOE genotype disclosure. RESULTS: Of 795 participants with known recruitment status, 546 (69%) were self-referred and 249 (31%) had been actively recruited. SRPs were younger, less likely to identify as African American, had higher household incomes, and were more attentive to AD than ARPs (all P < 0.01). They also dropped out of the study before genetic risk disclosure less frequently (26% versus 41%, P < 0.001). Cohorts did not differ in their likelihood of reporting a change to at least one health behavior 6 weeks and 12 months after genetic risk disclosure, nor in intentions to change at least one behavior in the future. However, interaction effects were observed where ε4-positive SRPs were more likely than ε4-negative SRPs to report changes specifically to mental activities (38% vs 19%, p < 0.001) and diets (21% vs 12%, p = 0.016) six weeks post-disclosure, whereas differences between ε4-positive and ε4-negative ARPs were not evident for mental activities (15% vs 21%, p = 0.413) or diets (8% versus 16%, P = 0.190). Similarly, ε4-positive participants were more likely than ε4-negative participants to report intentions to change long-term care insurance among SRPs (20% vs 5%, p < 0.001), but not ARPs (5% versus 9%, P = 0.365). CONCLUSIONS: Individuals who proactively seek AD genetic risk assessment are more likely to undergo testing and use results to inform behavior changes than those who respond to genetic testing offers. These results demonstrate how the behavioral impact of genetic risk information may vary according to the models by which services are provided, and suggest that how participants are recruited into translational genomics research can influence findings. TRIAL REGISTRATION: ClinicalTrials.gov NCT00089882 and NCT00462917 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-014-0124-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-31 /pmc/articles/PMC4311425/ /pubmed/25642295 http://dx.doi.org/10.1186/s13073-014-0124-0 Text en © Christensen et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Christensen, Kurt D
Roberts, J Scott
Zikmund-Fisher, Brian J
Kardia, Sharon LR
McBride, Colleen M
Linnenbringer, Erin
Green, Robert C
Associations between self-referral and health behavior responses to genetic risk information
title Associations between self-referral and health behavior responses to genetic risk information
title_full Associations between self-referral and health behavior responses to genetic risk information
title_fullStr Associations between self-referral and health behavior responses to genetic risk information
title_full_unstemmed Associations between self-referral and health behavior responses to genetic risk information
title_short Associations between self-referral and health behavior responses to genetic risk information
title_sort associations between self-referral and health behavior responses to genetic risk information
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311425/
https://www.ncbi.nlm.nih.gov/pubmed/25642295
http://dx.doi.org/10.1186/s13073-014-0124-0
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