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Estimating Likeliho...
Estimating Likelihood of Dementia in the Absence of Diagnostic Data : A Latent Dementia Index in 10 Genetically Informed Studies
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- Beam, Christopher R. (author)
- Department of Psychology, University of Southern California, Los Angeles, CA, United States,IGEMS Consortium
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- Luczak, Susan E. (author)
- Department of Psychology, University of Southern California, Los Angeles, CA, United States
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- Panizzon, Matthew S. (author)
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, CA, United States,IGEMS Consortium
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- Reynolds, Chandra A. (author)
- Department of Psychology, University of California Riverside, CA, United States,IGEMS Consortium
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- Christensen, Kaare (author)
- Danish Twin Registry, University of Southern Denmark, Odense, Denmark,IGEMS Consortium
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- Dahl Aslan, Anna K., 1975- (author)
- Högskolan i Skövde,Institutionen för hälsovetenskaper,Forskningsmiljön hälsa, hållbarhet och digitalisering,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden,Wellbeing in Long-term Health Problems (WeLHP) ; IGEMS Consortium
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- Elman, Jeremy A. (author)
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, CA, United States,IGEMS Consortium
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- Franz, Carol E. (author)
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, CA, United States,IGEMS Consortium
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- Kremen, William S. (author)
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, CA, United States,IGEMS Consortium
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- Lee, Teresa (author)
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia
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- Nygaard, Marianne (author)
- Danish Twin Registry, University of Southern Denmark, Odense, Denmark
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- Sachdev, Perminder S. (author)
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia,IGEMS Consortium
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- Whitfield, Keith E. (author)
- Department of Psychology, University of Nevada Las Vegas, NV, United States,IGEMS Consortium
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- Pedersen, Nancy L. (author)
- Karolinska Institutet
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- Gatz, Margaret (author)
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden ; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States,IGEMS Consortium
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(creator_code:org_t)
- IOS Press, 2022
- 2022
- English.
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In: Journal of Alzheimer's Disease. - : IOS Press. - 1387-2877 .- 1875-8908. ; 90:3, s. 1187-1201
- Related links:
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https://doi.org/10.3...
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https://his.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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http://kipublication...
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Abstract
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- BACKGROUND: Epidemiological research on dementia is hampered by differences across studies in how dementia is classified, especially where clinical diagnoses of dementia may not be available. OBJECTIVE: We apply structural equation modeling to estimate dementia likelihood across heterogeneous samples within a multi-study consortium and use the twin design of the sample to validate the results. METHODS: Using 10 twin studies, we implement a latent variable approach that aligns different tests available in each study to assess cognitive, memory, and functional ability. The model separates general cognitive ability from components indicative of dementia. We examine the validity of this continuous latent dementia index (LDI). We then identify cut-off points along the LDI distributions in each study and align them across studies to distinguish individuals with and without probable dementia. Finally, we validate the LDI by determining its heritability and estimating genetic and environmental correlations between the LDI and clinically diagnosed dementia where available. RESULTS: Results indicate that coordinated estimation of LDI across 10 studies has validity against clinically diagnosed dementia. The LDI can be fit to heterogeneous sets of memory, other cognitive, and functional ability variables to extract a score reflective of likelihood of dementia that can be interpreted similarly across studies despite diverse study designs and sampling characteristics. Finally, the same genetic sources of variance strongly contribute to both the LDI and clinical diagnosis. CONCLUSION: This latent dementia indicator approach may serve as a model for other research consortia confronted with similar data integration challenges.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Annan medicin och hälsovetenskap -- Gerontologi, medicinsk/hälsovetenskaplig inriktning (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Other Medical and Health Sciences -- Gerontology, specialising in Medical and Health Sciences (hsv//eng)
Keyword
- Activities of Daily Living
- Dementia
- Humans
- Probability
- daily life activity
- genetics
- human
- psychology
- genetic correlation
- harmonization
- latent index
- quality of life
- twin study
- Wellbeing in long-term health problems (WeLHP)
- Välbefinnande vid långvariga hälsoproblem (WeLHP)
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Beam, Christophe ...
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Luczak, Susan E.
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Panizzon, Matthe ...
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Reynolds, Chandr ...
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Christensen, Kaa ...
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Dahl Aslan, Anna ...
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Elman, Jeremy A.
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Franz, Carol E.
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Kremen, William ...
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Lee, Teresa
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Nygaard, Mariann ...
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Sachdev, Permind ...
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Whitfield, Keith ...
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Pedersen, Nancy ...
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Gatz, Margaret
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Other Medical an ...
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and Gerontology spec ...
- Articles in the publication
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Journal of Alzhe ...
- By the university
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University of Skövde
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Karolinska Institutet