Blood pressure and cognitive decline - the impact of hypertension over one decade.


Journal

Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition
ISSN: 1744-4128
Titre abrégé: Neuropsychol Dev Cogn B Aging Neuropsychol Cogn
Pays: United States
ID NLM: 9614434

Informations de publication

Date de publication:
07 2021
Historique:
pubmed: 17 7 2020
medline: 17 11 2021
entrez: 17 7 2020
Statut: ppublish

Résumé

Midlife hypertension is a risk factor for cognitive decline in late-life but little is known about the impact of long-term hypertension on cognitive change over time. We examined blood pressure and cognitive function in 2777 participants (baseline: 2000-2003, 45-75 years, 48.4% men) from the Heinz Nixdorf Recall study. Blood pressure was assessed at three study visits and cognitive function was assessed at both follow-ups (mean follow-up: 5.1 years). Z-score differences in five neuropsychological tests, defining cognitive decline, were derived from linear regression models including age and education. The association of cognitive decline over 5 years and blood pressure over 10 years (classified as: normal blood pressure (>10 years, reference), prevalent hypertension (>10 years), incident hypertension t1 (>5 years), incident hypertension t2 (<5 years), temporary hypertension (at least one hypertensive reading)) was calculated using linear regression models resulting in coefficient b and 95% confidence interval. We calculated interactions with age (linear and with a cutoff at 65 years). Participants with prevalent hypertension showed a greater cognitive decline in both verbal memory tests. Incident hypertension t1 was associated with a greater decline in the visuospatial organization test. There was no interaction with age. This study showed that prevalent high blood pressure over 10 years is related to cognitive decline. Prevalent hypertension with longer exposure time may be more detrimental than temporary hypertension for cognitive function.

Sections du résumé

BACKGROUND
Midlife hypertension is a risk factor for cognitive decline in late-life but little is known about the impact of long-term hypertension on cognitive change over time.
METHODS
We examined blood pressure and cognitive function in 2777 participants (baseline: 2000-2003, 45-75 years, 48.4% men) from the Heinz Nixdorf Recall study. Blood pressure was assessed at three study visits and cognitive function was assessed at both follow-ups (mean follow-up: 5.1 years). Z-score differences in five neuropsychological tests, defining cognitive decline, were derived from linear regression models including age and education. The association of cognitive decline over 5 years and blood pressure over 10 years (classified as: normal blood pressure (>10 years, reference), prevalent hypertension (>10 years), incident hypertension t1 (>5 years), incident hypertension t2 (<5 years), temporary hypertension (at least one hypertensive reading)) was calculated using linear regression models resulting in coefficient b and 95% confidence interval. We calculated interactions with age (linear and with a cutoff at 65 years).
RESULTS
Participants with prevalent hypertension showed a greater cognitive decline in both verbal memory tests. Incident hypertension t1 was associated with a greater decline in the visuospatial organization test. There was no interaction with age.
CONCLUSION
This study showed that prevalent high blood pressure over 10 years is related to cognitive decline. Prevalent hypertension with longer exposure time may be more detrimental than temporary hypertension for cognitive function.

Identifiants

pubmed: 32673173
doi: 10.1080/13825585.2020.1792403
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

528-542

Auteurs

Sarah Sanchez Hoffmann (S)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany.

Angela Winkler (A)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany.

Christian Weimar (C)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany.

Diana Müller-Gerards (D)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany.

Jessica Abramowski (J)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany.

Susanne Moebus (S)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen , Germany.

Karl-Heinz Jöckel (KH)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen , Germany.

Raimund Erbel (R)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen , Germany.

Martha Jokisch (M)

Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany.

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Classifications MeSH