The Influence of Birth Cohorts on Future Cognitive Decline.


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:
2023
Historique:
medline: 9 5 2023
pubmed: 28 3 2023
entrez: 27 3 2023
Statut: ppublish

Résumé

Slowed rates of cognitive decline have been reported in individuals with higher cognitive reserve (CR), but interindividual discrepancies remain unexplained. Few studies have reported a birth cohort effect, favoring later-born individuals, but these studies remain scarce. We aimed to predict cognitive decline in older adults using birth cohorts and CR. Within the Alzheimer's Disease Neuroimaging Initiative, 1,041 dementia-free participants were assessed on four cognitive domains (verbal episodic memory; language and semantic memory; attention; executive functions) at each follow-up visit up to 14 years. Four birth cohorts were formed according to the major historical events of the 20th century (1916-1928; 1929-1938; 1939-1945; 1946-1962). CR was operationalized by merging education, complexity of occupation, and verbal IQ. We used linear mixed-effect models to evaluate the effects of CR and birth cohorts on rate of performance change over time. Age at baseline, baseline structural brain health (total brain and total white matter hyperintensities volumes), and baseline vascular risk factors burden were used as covariates. CR was only associated with slower decline in verbal episodic memory. However, more recent birth cohorts predicted slower annual cognitive decline in all domains, except for executive functions. This effect increased as the birth cohort became more recent. We found that both CR and birth cohorts influence future cognitive decline, which has strong public policy implications.

Sections du résumé

BACKGROUND
Slowed rates of cognitive decline have been reported in individuals with higher cognitive reserve (CR), but interindividual discrepancies remain unexplained. Few studies have reported a birth cohort effect, favoring later-born individuals, but these studies remain scarce.
OBJECTIVE
We aimed to predict cognitive decline in older adults using birth cohorts and CR.
METHODS
Within the Alzheimer's Disease Neuroimaging Initiative, 1,041 dementia-free participants were assessed on four cognitive domains (verbal episodic memory; language and semantic memory; attention; executive functions) at each follow-up visit up to 14 years. Four birth cohorts were formed according to the major historical events of the 20th century (1916-1928; 1929-1938; 1939-1945; 1946-1962). CR was operationalized by merging education, complexity of occupation, and verbal IQ. We used linear mixed-effect models to evaluate the effects of CR and birth cohorts on rate of performance change over time. Age at baseline, baseline structural brain health (total brain and total white matter hyperintensities volumes), and baseline vascular risk factors burden were used as covariates.
RESULTS
CR was only associated with slower decline in verbal episodic memory. However, more recent birth cohorts predicted slower annual cognitive decline in all domains, except for executive functions. This effect increased as the birth cohort became more recent.
CONCLUSION
We found that both CR and birth cohorts influence future cognitive decline, which has strong public policy implications.

Identifiants

pubmed: 36970893
pii: JAD220951
doi: 10.3233/JAD-220951
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

179-191

Subventions

Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States

Auteurs

Valérie Turcotte (V)

École de Psychologie, Faculté des Sciences Sociales, Université Laval, Québec, QC, Canada.
CERVO Brain Research Centre, Centre Intégré Universitaire en Santé et Services Sociaux de la Capitale Nationale, Québec, QC, Canada.

Carol Hudon (C)

École de Psychologie, Faculté des Sciences Sociales, Université Laval, Québec, QC, Canada.
CERVO Brain Research Centre, Centre Intégré Universitaire en Santé et Services Sociaux de la Capitale Nationale, Québec, QC, Canada.
VITAM - Centre de Recherche en Santé Durable, Centre Intégré Universitaire en Santé et Services Sociaux de la Capitale Nationale, Québec, QC, Canada.

Olivier Potvin (O)

CERVO Brain Research Centre, Centre Intégré Universitaire en Santé et Services Sociaux de la Capitale Nationale, Québec, QC, Canada.

Mahsa Dadar (M)

Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, QC, Canada.

Simon Duchesne (S)

CERVO Brain Research Centre, Centre Intégré Universitaire en Santé et Services Sociaux de la Capitale Nationale, Québec, QC, Canada.
Département de Radiologie et Médecine Nucléaire, Faculté de Médecine, Université Laval, Québec, QC, Canada.

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Classifications MeSH