Association of Anxiety and Unspecified Emotional Distress Obtained from a Medical Records Linkage System with Incident Cognitive Outcomes in a Population-Based Setting.

Alzheimer’s disease anxiety cognition dementia mild cognitive impairment neuropsychiatric symptoms

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
09 Jul 2024
Historique:
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 12 7 2024
Statut: aheadofprint

Résumé

Studies that assess cognition prospectively and study in detail anxiety history in the participants' medical records within the context of brain aging and Alzheimer's disease are limited. To examine the associations of anxiety and unspecified emotional distress (UED) acquired throughout a person's life with prospectively collected cognitive outcomes. Mayo Clinic Study of Aging participants who were cognitively unimpaired at baseline were included. Anxiety and UED data were abstracted from the medical record using the Rochester Epidemiology Project (REP) resources and were run separately as predictors in our models. The data were analyzed using Cox proportional hazards models for the outcomes of incident mild cognitive impairment (MCI) and dementia and using linear mixed effects models for the outcomes of global and domain specific cognitive z-scores and included key covariates. The study sample (n = 1,808) had a mean (standard deviation) age of 74.5 (7.3) years and 51.4% were male. Anxiety was associated with increased risk of MCI and dementia and was associated with lower baseline cognitive z-scores and accelerated decline over time in the global, memory, and attention domains. UED was associated with faster decline in all domains except visuospatial but did not show evidence of association with incident cognitive outcomes. These results varied by medication use and timing of anxiety. Anxiety and UED both showed inverse associations with cognition. Utilization of anxiety and UED data from across the life course, as available, from the REP system adds robustness to our results.

Sections du résumé

Background UNASSIGNED
Studies that assess cognition prospectively and study in detail anxiety history in the participants' medical records within the context of brain aging and Alzheimer's disease are limited.
Objective UNASSIGNED
To examine the associations of anxiety and unspecified emotional distress (UED) acquired throughout a person's life with prospectively collected cognitive outcomes.
Methods UNASSIGNED
Mayo Clinic Study of Aging participants who were cognitively unimpaired at baseline were included. Anxiety and UED data were abstracted from the medical record using the Rochester Epidemiology Project (REP) resources and were run separately as predictors in our models. The data were analyzed using Cox proportional hazards models for the outcomes of incident mild cognitive impairment (MCI) and dementia and using linear mixed effects models for the outcomes of global and domain specific cognitive z-scores and included key covariates.
Results UNASSIGNED
The study sample (n = 1,808) had a mean (standard deviation) age of 74.5 (7.3) years and 51.4% were male. Anxiety was associated with increased risk of MCI and dementia and was associated with lower baseline cognitive z-scores and accelerated decline over time in the global, memory, and attention domains. UED was associated with faster decline in all domains except visuospatial but did not show evidence of association with incident cognitive outcomes. These results varied by medication use and timing of anxiety.
Conclusions UNASSIGNED
Anxiety and UED both showed inverse associations with cognition. Utilization of anxiety and UED data from across the life course, as available, from the REP system adds robustness to our results.

Identifiants

pubmed: 38995789
pii: JAD240213
doi: 10.3233/JAD-240213
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jeremy A Syrjanen (JA)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Janina Krell-Roesch (J)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Walter K Kremers (WK)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Julie A Fields (JA)

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

Eugene L Scharf (EL)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

David S Knopman (DS)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Ronald C Petersen (RC)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Maria Vassilaki (M)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Yonas E Geda (YE)

Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.

Classifications MeSH