Abstract:BACKGROUND/OBJECTIVES
Objective, complete estimates of nursing home (NH) use across the spectrum of cognitive decline are needed to help predict future care needs and inform economic models constructed to assess interventions to reduce care needs.
DESIGN
Retrospective longitudinal study
SETTING
Olmsted County, MN
PARTICIPANTS
Mayo Clinic Study of Aging participants assessed as Cognitively Normal (CN), Mild Cognitive Impairment (MCI), Previously-unrecognized-dementia, or Prevalent-dementia (Age=70–89 year… Show more
“…Yet, there is large heterogeneity with considerable proportions of the samples analyzed showing rapid declines, but often the majority shows slower decline [3,9–11]. Finally, probabilities for increasing Alzheimer's dementia severity, institutionalization and mortality were calculated and ranged much depending on age and dementia stage [12 ▪ ,13 ▪ ].…”
Section: Recent Findings: Heterogeneity In the Multidimensional Longimentioning
Purpose of review To date, most research in dementia has focused either on the identification of dementia risk prediction or on understanding changes and predictors experienced by individuals before diagnosis. Despite little is known about how individuals change after dementia diagnosis, there is agreement that changes occur over different time scales and are multidomain. In this study, we present an overview of the literature regarding the longitudinal course of dementia. Recent findings Our review suggests the evidence is scarce and findings reported are often inconsistent. We identified large heterogeneity in dementia trajectories, risk factors considered and modelling approaches employed. The heterogeneity of dementia trajectories also varies across outcomes and domains investigated.
“…Yet, there is large heterogeneity with considerable proportions of the samples analyzed showing rapid declines, but often the majority shows slower decline [3,9–11]. Finally, probabilities for increasing Alzheimer's dementia severity, institutionalization and mortality were calculated and ranged much depending on age and dementia stage [12 ▪ ,13 ▪ ].…”
Section: Recent Findings: Heterogeneity In the Multidimensional Longimentioning
Purpose of review To date, most research in dementia has focused either on the identification of dementia risk prediction or on understanding changes and predictors experienced by individuals before diagnosis. Despite little is known about how individuals change after dementia diagnosis, there is agreement that changes occur over different time scales and are multidomain. In this study, we present an overview of the literature regarding the longitudinal course of dementia. Recent findings Our review suggests the evidence is scarce and findings reported are often inconsistent. We identified large heterogeneity in dementia trajectories, risk factors considered and modelling approaches employed. The heterogeneity of dementia trajectories also varies across outcomes and domains investigated.
Objective
Mental illness and cognitive functioning may be independently associated with nursing home use. We investigated the strength of the association between baseline (1998) psychiatric history, eight-year cognitive function trajectories, and prospective incidence of nursing home use over a ten-year period while accounting for relevant covariates in U.S. adults aged 65 and older. We hypothesized that self-reported baseline history of psychiatric, emotional or nervous problems would be associated with greater risk of nursing home use, and that cognition trajectories with the greatest decline would be associated with subsequent higher risk of nursing home use.
Methods
We used eight waves (1998-2016) of Health and Retirement Study data for adults aged 65 years and older. Latent class mixture modeling identified four distinct cognitive function trajectory classes (1998-2006): low-declining, medium-declining, medium-stable, high-declining. Participants from the 1998 wave (N = 5628) were classified into these four classes. Competing risks regression analysis modeled the sub-hazard of nursing home use between 2006 and 2016 as a function of baseline psychiatric history and cognitive function trajectories.
Results
Psychiatric history was independently associated with greater risk of nursing home use (SHR 1.26, 95% CI 1.06-1.51, p<.01), net the effects of life course variables. Further, “low declining” (SHR 2.255, 95% CI 1.70-2.99, p<.001) and “medium declining” (2.103, 95% CI 1.69-2.61, p<.001) trajectories predicted increased risk of nursing home use.
Discussion
Evidence of these associations can be used to educate policymakers and providers about the need for appropriate psychiatric training for staff in community-based and residential long-term care programs.
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