Alon Seifan1, Christine A Ganzer2, Francoise Vermeylen3, Stephen Parry3, Jifeng Zhu4, Abigail Lyons4, Richard Isaacson5, Sarang Kim6. 1. Department of Neurology, Division of Memory Disorders, New York-Presbyterian Hospital, Weill Cornell Medical College, 525 East 68th Street, F-610, New York, NY 10065, USA. 2. Hunter-Bellevue School of Nursing, Hunter College 425 E 25th Street, Rm 429, New York, NY 10010, USA. 3. College of Human Ecology, Division of Nutritional Science, Cornell University, 170 Martha Van Rensselaer Hall, Ithaca, NY 14853-4401, USA. 4. Weill Cornell Medicine, Clinical and Translational Science Center, 407 East 61st Street, second Floor RR-214, New York, NY 10065, USA. 5. Department of Neurology, Weill Cornell Medicine, New York-Presbyterian Hospital, 525 East 68th Street, F-616, New York, NY 10065, USA. 6. Australian National University College of Medicine Biology and Environment, Centre for Research on Aging, Health & Wellbeing, Canberra, ACT 2601, Australia.
Abstract
Background: Understanding health beliefs and how they influence willingness will enable the development of targeted curricula that maximize public engagement in Alzheimer's disease (AD) risk reduction behaviors. Methods: Literature on behavioral theory and community input was used to develop and validate a health beliefs survey about AD risk reduction among 428 community-dwelling adults. Principal component analysis was performed to assess internal consistency. Linear regression was performed to identify key predictors of Willingness to engage in AD risk reduction behaviors. Results: The measure as well as the individual scales (Benefits, Barriers, Severity, Susceptibility and Social Norm) were found to be internally consistent. Overall, as Benefits and Barriers scores increased, Willingness scores also increased. Those without prior AD experience or family history had lower willingness scores. Finally, we observed an interaction between age and norms, suggesting that social factors related to AD prevention may differentially affect people of different ages. Conclusions: The Alzheimer Prevention Beliefs Measure provides assessment of several health belief factors related to AD prevention. Age, Family History, Logistical Barriers and total Benefits are significant determinants of willingness to engage in AD risk reduction behaviors, such as seeing a doctor or making a lifestyle change.
Background: Understanding health beliefs and how they influence willingness will enable the development of targeted curricula that maximize public engagement in Alzheimer's disease (AD) risk reduction behaviors. Methods: Literature on behavioral theory and community input was used to develop and validate a health beliefs survey about AD risk reduction among 428 community-dwelling adults. Principal component analysis was performed to assess internal consistency. Linear regression was performed to identify key predictors of Willingness to engage in AD risk reduction behaviors. Results: The measure as well as the individual scales (Benefits, Barriers, Severity, Susceptibility and Social Norm) were found to be internally consistent. Overall, as Benefits and Barriers scores increased, Willingness scores also increased. Those without prior AD experience or family history had lower willingness scores. Finally, we observed an interaction between age and norms, suggesting that social factors related to AD prevention may differentially affect people of different ages. Conclusions: The Alzheimer Prevention Beliefs Measure provides assessment of several health belief factors related to AD prevention. Age, Family History, Logistical Barriers and total Benefits are significant determinants of willingness to engage in AD risk reduction behaviors, such as seeing a doctor or making a lifestyle change.
Authors: Lisa D Chew; Joan M Griffin; Melissa R Partin; Siamak Noorbaloochi; Joseph P Grill; Annamay Snyder; Katharine A Bradley; Sean M Nugent; Alisha D Baines; Michelle Vanryn Journal: J Gen Intern Med Date: 2008-03-12 Impact factor: 5.128
Authors: Eric R Siemers; Karen L Sundell; Christopher Carlson; Michael Case; Gopalan Sethuraman; Hong Liu-Seifert; Sherie A Dowsett; Michael J Pontecorvo; Robert A Dean; Ronald Demattos Journal: Alzheimers Dement Date: 2015-08-01 Impact factor: 21.566
Authors: Jessica C Agnew-Blais; Sylvia Wassertheil-Smoller; Jae H Kang; Patricia E Hogan; Laura H Coker; Linda G Snetselaar; Jordan W Smoller Journal: J Acad Nutr Diet Date: 2014-09-08 Impact factor: 4.910
Authors: Hélène Amieva; Mélanie Le Goff; Xavier Millet; Jean Marc Orgogozo; Karine Pérès; Pascale Barberger-Gateau; Hélène Jacqmin-Gadda; Jean François Dartigues Journal: Ann Neurol Date: 2008-11 Impact factor: 10.422
Authors: Lindsay R Clark; Claire M Erickson; Erin M Jonaitis; Yue Ma; Nathaniel A Chin; Kristin Basche; Frederick B Ketchum; Carey E Gleason Journal: Alzheimers Res Ther Date: 2022-06-22 Impact factor: 8.823