@article{7db4ec7708ea4fe5af18ba971fcf3430,
title = "δ scores predict multiple neuropsychiatric symptoms",
abstract = "Objectives: Dementia severity is strongly related to Spearman's general intelligence factor “g”, via the latent dementia phenotype “δ” and is distinct from domain-specific cognitive impairments arising from disease-specific regional pathologies. It is an empiric question whether behavioral and psychological symptoms of dementia (BPSD) are associated with δ or with domain-specific constructs. Methods: A recently developed δ homolog (”dDx”) was tested as a predictor of 1 year prospective BPSD in n = 723 Mexican-American and non-Hispanic White participants in the Texas Alzheimer's Research and Care Consortium (TARCC). The informant-rated frequencies of 12 BPSD were rated by the neuropsychiatric inventory (NPI-Q). Baseline BPSD, demographic features, selected biomarkers, and treatment exposure to acetylcholinesterase inhibitors were used as covariates. Composite scores derived from orthogonal latent measures of domain-specific memory (MEM) and executive function (EF) were also tested as predictors. Results: “Functionally salient cognitive impairment (FSCI)” that is, categorical “dementia” as diagnosed by dDx was associated with increased prospective frequency of 11/12 BPSD, independently of baseline behavior and covariates. Age, depressive symptoms, and EF were associated with individual BPSD. MEM was not associated with any. Dementia severity, as measured by dDx, was also associated with a prospective increase in total NPI-Q scores. Conclusion: δ is associated non-specifically with multiple BPSD. This suggests the existence of a dementia-specific behavioral profile, arising from insults to general intelligence, and unrelated to disease-specific regional pathology(ies).",
keywords = "BPSD, MCI, aging, cognition, dementia, functional status, g, intelligence, δ",
author = "Royall, {Donald R.} and Palmer, {Raymond F.}",
note = "Funding Information: This study was supported in part by funding provided to the Texas TARCC by the state of Texas, through the Texas Council on Alzheimer's Disease and Related Disorders, as part of the Darrell K. Royal Texas Alzheimer's Initiative. Funding Information: This study was supported in part by funding provided to the Texas TARCC by the state of Texas, through the Texas Council on Alzheimer's Disease and Related Disorders, as part of the Darrell K. Royal Texas Alzheimer's Initiative. TARCC List of Investigators: Investigators from the TARCC: Baylor College of Medicine: Valory Pavlik PhD, Paul Massman PhD, Eveleen Darby MA/MS, Monica Rodriguear MA, Aisha Khaleeq MD; Texas Tech University Health Sciences Center: John C. DeToledo MD, Henrick Wilms MD, PhD, Kim Johnson PhD, Victoria Perez, Michelle Hernandez; University of North Texas Health Science Center: Thomas Fairchild PhD, Janice Knebl DO, Sid E. O'Bryant PhD, James R. Hall PhD, Leigh Johnson PhD, Robert C. Barber PhD, Douglas Mains DrPH, Lisa Alvarez, Adriana Gamboa; University of Texas at Austin: John Bertelson MD; University of Texas Southwestern Medical Center: Perrie Adams PhD, Munro Cullum PhD, Roger Rosenberg MD, Benjamin Williams MD, PhD, Mary Quiceno MD, Joan Reisch PhD, Linda S. Hynan PhD, Ryan Huebinger PhD, Janet Smith BS, Barb Davis MA, Trung Nguyen MD, PhD; University of Texas Health Science Center - San Antonio: Donald Royall MD, Raymond Palmer PhD, Marsha Polk; Texas A&M University Health Science Center: Farida Sohrabji PhD, Steve Balsis PhD, Rajesh Miranda PhD; University of North Carolina: Kirk C. Wilhelmsen MD, PhD, Jeffrey L. Tilson PhD, Scott Chasse PhD. Publisher Copyright: {\textcopyright} 2020 John Wiley & Sons Ltd",
year = "2020",
month = nov,
day = "1",
doi = "10.1002/gps.5371",
language = "English (US)",
volume = "35",
pages = "1341--1348",
journal = "International Journal of Geriatric Psychiatry",
issn = "0885-6230",
publisher = "John Wiley and Sons Ltd",
number = "11",
}