Literature DB >> 16917189

Development of a population-based questionnaire to explore psychosocial determinants of screening for memory loss and Alzheimer Disease.

James E Galvin1, Darcell P Scharff, Cristie Glasheen, Qiang Fu.   

Abstract

Alzheimer disease research has focused on detecting the earliest signs of cognitive decline and efforts are ongoing to develop biomarkers and cognitive measures that reliably distinguish between nondemented and demented individuals. However, little is known about factors that may directly or indirectly influence screening behavior of older community-dwelling adults. We describe an iterative process for the development and formative evaluation of a questionnaire about dementia knowledge and screening behaviors in older adults to understand the psychosocial factors underlying intention to obtain dementia screening to profile individuals manifesting intention to undergo dementia screening compared to those who will not. The Behavioral Model of Health Services Use was used as a conceptual framework for a questionnaire with constructs from the Health Belief Model, Theory of Reasoned Action and Self-Efficacy. After pretesting, we used a random dialing strategy to test our questionnaire on a final sample of 1024 older Missourians. Internal consistency and construct validity were examined. Pretesting identified several potential problems that were improved with rewording. Cronbach alpha was greater than 0.6 (range 0.62 to 0.92) in all but one construct testing dementia knowledge, suggesting good to excellent internal consistency. Convergent (construct) validity was assessed using confirmatory factor analysis. All constructs but 3 demonstrated good validity. Addressing these issues will allow researchers to identify unique characteristics based on age, race, sex, socioeconomic differences and geographic location, and characterize barriers to screening programs to more effectively develop targeted community-based interventions.

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Mesh:

Year:  2006        PMID: 16917189     DOI: 10.1097/00002093-200607000-00010

Source DB:  PubMed          Journal:  Alzheimer Dis Assoc Disord        ISSN: 0893-0341            Impact factor:   2.703


  7 in total

1.  Psychosocial determinants of intention to screen for Alzheimer's disease.

Authors:  James E Galvin; Qiang Fu; Joseph T Nguyen; Cristie Glasheen; Darcell P Scharff
Journal:  Alzheimers Dement       Date:  2007-12-21       Impact factor: 21.566

2.  Common Sense Model Factors Affecting African Americans' Willingness to Consult a Healthcare Provider Regarding Symptoms of Mild Cognitive Impairment.

Authors:  Carey E Gleason; N Maritza Dowling; Susan Flowers Benton; Ashley Kaseroff; Wade Gunn; Dorothy Farrar Edwards
Journal:  Am J Geriatr Psychiatry       Date:  2015-09-14       Impact factor: 4.105

Review 3.  Attitudes and preferences towards screening for dementia: a systematic review of the literature.

Authors:  Steven Martin; Sarah Kelly; Ayesha Khan; Sarah Cullum; Tom Dening; Greta Rait; Chris Fox; Cornelius Katona; Theodore Cosco; Carol Brayne; Louise Lafortune
Journal:  BMC Geriatr       Date:  2015-06-16       Impact factor: 3.921

4.  Development of the motivation to change lifestyle and health behaviours for dementia risk reduction scale.

Authors:  Sarang Kim; Kerry Sargent-Cox; Nicolas Cherbuin; Kaarin J Anstey
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2014-06-05

5.  Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model.

Authors:  Jaegyeong Lee; Jung Min Lim
Journal:  J Med Internet Res       Date:  2022-01-14       Impact factor: 5.428

6.  Differences in the Experience of Caregiving Between Spouse and Adult Child Caregivers in Dementia With Lewy Bodies.

Authors:  Taylor Rigby; Robert T Ashwill; David K Johnson; James E Galvin
Journal:  Innov Aging       Date:  2019-09-04

7.  Intention to Screen for Alzheimer's Disease by Residential Locale.

Authors:  Lilah M Besser; Willa D Brenowitz; Juyoung Park; Magdalena I Tolea; James E Galvin
Journal:  Int J Environ Res Public Health       Date:  2020-03-27       Impact factor: 3.390

  7 in total

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