Determinants of verbal fluency trajectories among older adults from the English Longitudinal Study of Aging.


Journal

Applied neuropsychology. Adult
ISSN: 2327-9109
Titre abrégé: Appl Neuropsychol Adult
Pays: United States
ID NLM: 101584082

Informations de publication

Date de publication:
Historique:
pubmed: 11 5 2021
medline: 5 1 2023
entrez: 10 5 2021
Statut: ppublish

Résumé

Prevalence of dementia and cognitive impairment increase creating the need for identifying modifiable risk factors to reduce their burden. The aim of this study was to identify latent groups following similar trajectories in cognitive performance assessed with the verbal fluency test, as well as their determinants. Data from English Longitudinal Study of Aging (ELSA) were studied. Latent groups of similar course through a 6-year period in the outcome variable (verbal fluency) were investigated, along with their determinants, using Group Based Trajectory Modeling (GBTM). Four latent groups of verbal fluency trajectories were revealed. Education was the strongest predictor for a favorable trajectory, while cardiovascular disease and depression symptoms were associated with lower within each trajectory. Cardiovascular diseases and depressive symptoms are associated with a worse course of verbal fluency through aging, implying that they might serve as targets for interventions to prevent cognitive decline in the aging population. Contrarily, higher level of education is associated with a more favorable course through aging.

Sections du résumé

BACKGROUND UNASSIGNED
Prevalence of dementia and cognitive impairment increase creating the need for identifying modifiable risk factors to reduce their burden. The aim of this study was to identify latent groups following similar trajectories in cognitive performance assessed with the verbal fluency test, as well as their determinants.
METHODS UNASSIGNED
Data from English Longitudinal Study of Aging (ELSA) were studied. Latent groups of similar course through a 6-year period in the outcome variable (verbal fluency) were investigated, along with their determinants, using Group Based Trajectory Modeling (GBTM).
RESULTS UNASSIGNED
Four latent groups of verbal fluency trajectories were revealed. Education was the strongest predictor for a favorable trajectory, while cardiovascular disease and depression symptoms were associated with lower within each trajectory.
CONCLUSION UNASSIGNED
Cardiovascular diseases and depressive symptoms are associated with a worse course of verbal fluency through aging, implying that they might serve as targets for interventions to prevent cognitive decline in the aging population. Contrarily, higher level of education is associated with a more favorable course through aging.

Identifiants

pubmed: 33969762
doi: 10.1080/23279095.2021.1913739
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110-119

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Auteurs

Viktor Gkotzamanis (V)

School of Health Science and Education, Harokopio University, Athens, Greece.

Giorgos Koliopanos (G)

School of Health Science and Education, Harokopio University, Athens, Greece.

Albert Sanchez-Niubo (A)

Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Sant Boi de Llobregat, Spain.
CIBER of Mental Health, Madrid, Spain.

Beatriz Olaya (B)

Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Sant Boi de Llobregat, Spain.
CIBER of Mental Health, Madrid, Spain.

Francisco Félix Caballero (FF)

Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
CIBER of Epidemiology and Public Health, Madrid, Spain.

José Luis Ayuso-Mateos (JL)

Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain.
Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IP), Madrid, Spain.
Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Somnath Chatterji (S)

Information, Evidence and Research, World Health Organization, Geneva, Switzerland.

Josep Maria Haro (JM)

Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Sant Boi de Llobregat, Spain.
CIBER of Mental Health, Madrid, Spain.

Demosthenes B Panagiotakos (DB)

School of Health Science and Education, Harokopio University, Athens, Greece.

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Classifications MeSH