Evidence map›Paper›PMID 28069993›Full record

ArticleJournal of public health (Oxford, England)2017

Development and validation of the Alzheimer's prevention beliefs measure in a multi-ethnic cohort-a behavioral theory approach.

Alon Seifan, Christine A Ganzer, Francoise Vermeylen, Stephen Parry, Jifeng Zhu, Abigail Lyons, Richard Isaacson, Sarang Kim

Open access · bronzeAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of public health (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  7. Article
  8. Alzheimer's Disease Prevention Health Coaching.The journal of prevention of Alzheimer's disease · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Alon SeifanDepartment 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.
Christine A GanzerHunter-Bellevue School of Nursing, Hunter College 425 E 25th Street, Rm 429, New York, NY 10010, USA.
Francoise VermeylenCollege of Human Ecology, Division of Nutritional Science, Cornell University, 170 Martha Van Rensselaer Hall, Ithaca, NY 14853-4401, USA.
Stephen ParryCollege of Human Ecology, Division of Nutritional Science, Cornell University, 170 Martha Van Rensselaer Hall, Ithaca, NY 14853-4401, USA.
Jifeng ZhuWeill Cornell Medicine, Clinical and Translational Science Center, 407 East 61st Street, second Floor RR-214, New York, NY 10065, USA.
Abigail LyonsWeill Cornell Medicine, Clinical and Translational Science Center, 407 East 61st Street, second Floor RR-214, New York, NY 10065, USA.
Richard IsaacsonDepartment of Neurology, Weill Cornell Medicine, New York-Presbyterian Hospital, 525 East 68th Street, F-616, New York, NY 10065, USA.
Sarang KimAustralian National University College of Medicine Biology and Environment, Centre for Research on Aging, Health & Wellbeing, Canberra, ACT 2601, Australia.
Cornell University · USNew York Hospital Queens · USWeill Cornell Medicine · USAustralian National University · AUHunter College · US

Funding

Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
NCATS NIH HHS UL1 TR000457
6 · The paper itself

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.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultAgedAged, 80 and overAlzheimer DiseaseCohort StudiesCommunity-Based Participatory ResearchEthnicityFemaleHealth BehaviorHumansLinear ModelsMaleMiddle AgedPrincipal Component Analysisbeliefshealth promotionmeasurement

Identifiers

PMID28069993
PMCPMC6283396
OpenAlexW2569924177

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.