Literature DB >> 29024454

Disclosure of Personalized Rheumatoid Arthritis Risk Using Genetics, Biomarkers, and Lifestyle Factors to Motivate Health Behavior Improvements: A Randomized Controlled Trial.

Jeffrey A Sparks1, Maura D Iversen2, Zhi Yu3, Nellie A Triedman3, Maria G Prado3, Rachel Miller Kroouze3, Sarah S Kalia4, Michael L Atkinson1, Elinor A Mody1, Simon M Helfgott1, Derrick J Todd1, Paul F Dellaripa1, Bonnie L Bermas1, Karen H Costenbader1, Kevin D Deane5, Bing Lu1, Robert C Green6, Elizabeth W Karlson1.   

Abstract

OBJECTIVE: To determine the effect of disclosure of rheumatoid arthritis (RA) risk personalized with genetics, biomarkers, and lifestyle factors on health behavior intentions.
METHODS: We performed a randomized controlled trial among first-degree relatives without RA. Subjects assigned to the Personalized Risk Estimator for Rheumatoid Arthritis (PRE-RA) group received the web-based PRE-RA tool for RA risk factor education and disclosure of personalized RA risk estimates, including genotype/autoantibody results and behaviors (n = 158). Subjects assigned to the comparison arm received standard RA education (n = 80). The primary outcome was readiness for change based on the trans-theoretical model, using validated contemplation ladder scales. Increased motivation to improve RA risk-related behaviors (smoking, diet, exercise, or dental hygiene) was defined as an increase in any ladder score compared to baseline, assessed immediately, 6 weeks, and 6 months post-intervention. Subjects reported behavior change at each visit. We performed intent-to-treat analyses using generalized estimating equations for the binary outcome.
RESULTS: Subjects randomized to PRE-RA were more likely to increase ladder scores over post-intervention assessments (relative risk 1.23, 95% confidence interval [95% CI] 1.01, 1.51) than those randomized to nonpersonalized education. At 6 months, 63.9% of PRE-RA subjects and 50.0% of comparison subjects increased motivation to improve behaviors (age-adjusted difference 15.8%; 95% CI 2.8%, 28.8%). Compared to nonpersonalized education, more PRE-RA subjects increased fish intake (45.0% versus 22.1%; P = 0.005), brushed more frequently (40.7% versus 22.9%; P = 0.01), flossed more frequently (55.7% versus 34.8%; P = 0.004), and quit smoking (62.5% versus 0.0% among 11 smokers; P = 0.18).
CONCLUSION: Disclosure of RA risk personalized with genotype/biomarker results and behaviors increased motivation to improve RA risk-related behaviors. Personalized medicine approaches may motivate health behavior improvements for those at risk for RA and provide rationale for larger studies evaluating effects of behavior changes on clinical outcomes, such as RA-related autoantibody production or RA development.
© 2017, American College of Rheumatology.

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Year:  2018        PMID: 29024454      PMCID: PMC5897224          DOI: 10.1002/acr.23411

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


  49 in total

1.  A vision for the future of genomics research.

Authors:  Francis S Collins; Eric D Green; Alan E Guttmacher; Mark S Guyer
Journal:  Nature       Date:  2003-04-14       Impact factor: 49.962

2.  Improved performance of epidemiologic and genetic risk models for rheumatoid arthritis serologic phenotypes using family history.

Authors:  Jeffrey A Sparks; Chia-Yen Chen; Xia Jiang; Johan Askling; Linda T Hiraki; Susan Malspeis; Lars Klareskog; Lars Alfredsson; Karen H Costenbader; Elizabeth W Karlson
Journal:  Ann Rheum Dis       Date:  2014-03-31       Impact factor: 19.103

3.  Dyslipidaemia in patients with seropositive arthralgia predicts the development of arthritis.

Authors:  L A van de Stadt; A M van Sijl; D van Schaardenburg; M T Nurmohamed
Journal:  Ann Rheum Dis       Date:  2012-05-14       Impact factor: 19.103

4.  Anti-carbamylated protein antibodies are present prior to rheumatoid arthritis and are associated with its future diagnosis.

Authors:  Ryan W Gan; Leendert A Trouw; Jing Shi; René E M Toes; Tom W J Huizinga; M Kristen Demoruelle; Jason R Kolfenbach; Gary O Zerbe; Kevin D Deane; Jess D Edison; William R Gilliland; Jill M Norris; V Michael Holers
Journal:  J Rheumatol       Date:  2015-01-15       Impact factor: 4.666

Review 5.  Impact of smoking as a risk factor for developing rheumatoid arthritis: a meta-analysis of observational studies.

Authors:  D Sugiyama; K Nishimura; K Tamaki; G Tsuji; T Nakazawa; A Morinobu; S Kumagai
Journal:  Ann Rheum Dis       Date:  2010-01       Impact factor: 19.103

6.  Sugar-sweetened soda consumption and risk of developing rheumatoid arthritis in women.

Authors:  Yang Hu; Karen H Costenbader; Xiang Gao; May Al-Daabil; Jeffrey A Sparks; Daniel H Solomon; Frank B Hu; Elizabeth W Karlson; Bing Lu
Journal:  Am J Clin Nutr       Date:  2014-07-16       Impact factor: 7.045

7.  Alcohol consumption and risk of incident rheumatoid arthritis in women: a prospective study.

Authors:  Bing Lu; Daniel H Solomon; Karen H Costenbader; Elizabeth W Karlson
Journal:  Arthritis Rheumatol       Date:  2014-08       Impact factor: 10.995

8.  Health behavior changes after genetic risk assessment for Alzheimer disease: The REVEAL Study.

Authors:  Serena Chao; J Scott Roberts; Theresa M Marteau; Rebecca Silliman; L Adrienne Cupples; Robert C Green
Journal:  Alzheimer Dis Assoc Disord       Date:  2008 Jan-Mar       Impact factor: 2.703

9.  Disclosing Pleiotropic Effects During Genetic Risk Assessment for Alzheimer Disease: A Randomized Trial.

Authors:  Kurt D Christensen; J Scott Roberts; Peter J Whitehouse; Charmaine D M Royal; Thomas O Obisesan; L Adrienne Cupples; Jacqueline A Vernarelli; Deepak L Bhatt; Erin Linnenbringer; Melissa B Butson; Grace-Ann Fasaye; Wendy R Uhlmann; Susan Hiraki; Na Wang; Robert Cook-Deegan; Robert C Green
Journal:  Ann Intern Med       Date:  2016-01-26       Impact factor: 25.391

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

Authors:  Kurt D Christensen; J Scott Roberts; Brian J Zikmund-Fisher; Sharon Lr Kardia; Colleen M McBride; Erin Linnenbringer; Robert C Green
Journal:  Genome Med       Date:  2015-01-31       Impact factor: 11.117

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  28 in total

1.  Effectiveness of a Web-Based Personalized Rheumatoid Arthritis Risk Tool With or Without a Health Educator for Knowledge of Rheumatoid Arthritis Risk Factors.

Authors:  Maria G Prado; Maura D Iversen; Zhi Yu; Rachel Miller Kroouze; Nellie A Triedman; Sarah S Kalia; Bing Lu; Robert C Green; Elizabeth W Karlson; Jeffrey A Sparks
Journal:  Arthritis Care Res (Hoboken)       Date:  2018-10       Impact factor: 4.794

2.  Impact of Cyclic Citrullinated Peptide Antibody Level on Progression to Rheumatoid Arthritis in Clinically Tested Cyclic Citrullinated Peptide Antibody-Positive Patients Without Rheumatoid Arthritis.

Authors:  Julia A Ford; Xinyi Liu; Allison A Marshall; Alessandra Zaccardelli; Maria G Prado; Charlene Wiyarand; Bing Lu; Elizabeth W Karlson; Peter H Schur; Kevin D Deane; Jeffrey A Sparks
Journal:  Arthritis Care Res (Hoboken)       Date:  2019-12       Impact factor: 4.794

3.  Long-Term Physical Activity and Subsequent Risk for Rheumatoid Arthritis Among Women: A Prospective Cohort Study.

Authors:  Xinyi Liu; Sara K Tedeschi; Bing Lu; Alessandra Zaccardelli; Cameron B Speyer; Karen H Costenbader; Elizabeth W Karlson; Jeffrey A Sparks
Journal:  Arthritis Rheumatol       Date:  2019-07-19       Impact factor: 10.995

Review 4.  Preclinical Rheumatoid Arthritis and Rheumatoid Arthritis Prevention.

Authors:  Kevin D Deane
Journal:  Curr Rheumatol Rep       Date:  2018-06-26       Impact factor: 4.592

Review 5.  Potential of Lifestyle Changes for Reducing the Risk of Developing Rheumatoid Arthritis: Is an Ounce of Prevention Worth a Pound of Cure?

Authors:  Alessandra Zaccardelli; H Maura Friedlander; Julia A Ford; Jeffrey A Sparks
Journal:  Clin Ther       Date:  2019-06-10       Impact factor: 3.393

6.  Improving the Odds of Success for Precision Medicine Using the Social Ecological Model.

Authors:  Scott P McGrath
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

Review 7.  Rheumatoid Arthritis Pathogenesis, Prediction, and Prevention: An Emerging Paradigm Shift.

Authors:  Kevin D Deane; V Michael Holers
Journal:  Arthritis Rheumatol       Date:  2020-12-08       Impact factor: 10.995

8.  Clinical application of personalized rheumatoid arthritis risk information: Translational epidemiology leading to precision medicine.

Authors:  Jeffrey A Sparks
Journal:  Expert Rev Precis Med Drug Dev       Date:  2020-12-14

9.  Does Personalized Nutrition Advice Improve Dietary Intake in Healthy Adults? A Systematic Review of Randomized Controlled Trials.

Authors:  Rachael Jinnette; Ai Narita; Byron Manning; Sarah A McNaughton; John C Mathers; Katherine M Livingstone
Journal:  Adv Nutr       Date:  2021-06-01       Impact factor: 8.701

10.  Family History of Rheumatic, Autoimmune, and Nonautoimmune Diseases and Risk of Rheumatoid Arthritis.

Authors:  Vanessa L Kronzer; Cynthia S Crowson; Jeffrey A Sparks; Elena Myasoedova; John Davis
Journal:  Arthritis Care Res (Hoboken)       Date:  2021-02       Impact factor: 4.794

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