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Risk perception and preference for prevention of Alzheimer's disease.

ABSTRACT: To understand how older adults perceive their risk of Alzheimer's Disease (AD) and how this may shape their medical care decisions, we examined whether presence of established risk factors of AD is associated with individuals' perceived risk of AD, and with preference for preventing AD.Data came from the US Health and Retirement Study participants who were asked questions on AD risk perception (N = 778).Perceived risk of AD was measured by respondents' estimate of their percent chance (0-100) developing AD in the next 10 years. Preference for AD prevention was measured with questions eliciting willingness to pay for a drug to prevent AD.Multivariate linear regressions were used to estimate correlates of perceived risk and preference for prevention.Better cognitive functioning and physical activity are associated with decreased perceived risk. Neither age nor cardiovascular disease is associated with perceived risk. African Americans have lower perceived risk than non-Latino whites; the difference is wider among people age 65 and above. Only 4% to 7% of the variation in perceived risk was explained by the model. Preference for prevention is stronger with increased perceived risk, but not with the presence of risk factors. Persons with better cognitive functioning, physical functioning, or wealth status have a stronger preference for prevention.Some known risk factors appear to inform, but only modestly, individuals' perceived risk of AD. Furthermore, decisions about AD prevention may not be determined by objective needs alone, suggesting a potential discrepancy between need and demand for AD preventive care.

SUBMITTER: Chung S

PROVIDER: S-EPMC4383096 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature

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Risk perception and preference for prevention of Alzheimer's disease.

Chung Sukyung S Mehta Kala K Shumway Martha M Alvidrez Jennifer J Perez-Stable Eliseo J EJ

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research 20090112 4

<h4>Objectives</h4>To understand how older adults perceive their risk of Alzheimer's Disease (AD) and how this may shape their medical care decisions, we examined whether presence of established risk factors of AD is associated with individuals' perceived risk of AD, and with preference for preventing AD.<h4>Methods</h4><h4>Participants</h4>Data came from the US Health and Retirement Study participants who were asked questions on AD risk perception (N = 778).<h4>Measurements</h4>Perceived risk o ...[more]

PMID: 19900252

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Project description:IntroductionAlzheimer's disease (AD) is a progressive neurodegenerative disease that currently affects 6.2 million people in the United States and is projected to impact 12.7 million worldwide in 2050 with no effective disease-modifying therapeutic or cure. In 2011 as part of the National Alzheimer's Project Act, the National Plan to Address Alzheimer's Disease was signed into law which proposed to effectively prevent AD by 2025, which is rapidly approaching. The preclinical phase of AD can begin 20 years prior to diagnosis, which provides an extended window for preventive measures that would exert a transformative impact on incidence and prevalence of AD.MethodsA novel combination of text-mining and natural language processing strategies to identify (1) AD risk factors, (2) therapeutics that can target risk factor pathways, and (3) studies supporting therapeutics in the PubMed database was conducted. To classify the literature relevant to AD preventive strategies, a relevance score (RS) based on STRING (search tool for the retrieval of interacting genes/proteins) score for protein-protein interactions and a confidence score (CS) on Bayesian inference were developed. To address mechanism of action, network analysis of protein targets for effective drugs was conducted. Collectively, the analytic approach, referred to as a targeted-risk-AD-prevention (TRAP) strategy, led to a ranked list of candidate therapeutics to reduce AD risk.ResultsBased on TRAP mining of 9625 publications, 364 AD risk factors were identified. Based on risk factor indications, 629 Food and Drug Administration-approved drugs were identified. Computation of ranking scores enabled identification of 46 relevant high confidence (RS & CS > 0.7) drugs associated with reduced AD risk. Within these candidate therapeutics, 16 had more than one clinical study supporting AD risk reduction. Top-ranked therapeutics with high confidence emerged within lipid-lowering, anti-inflammatory, hormone, and metabolic-related drug classes.DiscussionOutcomes of our novel bioinformatic strategy support therapeutic targeting of biological mechanisms and pathways underlying relevant AD risk factors with high confidence. Early interventions that target pathways associated with increased risk of AD have the potential to support the goal of effectively preventing AD by 2025.

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Risk perception and preference for prevention of Alzheimer's disease.

Publications

Risk perception and preference for prevention of Alzheimer's disease.

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