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Nonlinear association between pulse wave velocity and cognitive function: a population-based study
Lund University, Lund, Sweden.
Skåne University Hospital, Malmö, Sweden.
Lund University, Lund, Sweden.
Skåne University Hospital, Malmö, Sweden.
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2014 (English)In: Journal of Hypertension, ISSN 0263-6352, E-ISSN 1473-5598, Vol. 32, no 11, p. 2152-2157Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Arterial stiffness has been hypothesized to contribute to cognitive decline. However, previous studies have reported inconsistent results. The aim of this cross-sectional study was to investigate the association between carotid-femoral pulse wave velocity (cfPWV), a marker of arterial stiffness, and cognitive function.

METHODS: The study population comprised 2637 individuals from the population-based Malmö Diet and Cancer Study (mean age 72.1 years, 60.8% women). During the follow-up examinations between 2007 and 2012, cfPWV and results on the a quick test of cognitive speed (AQT) and Mini Mental State Examination (MMSE) cognitive tests were measured.

RESULTS: After adjustments for demographics and traditional cardiovascular risk factors, a linear association was found between cfPWV and AQT (B = 0.37; P = 0.039). On the basis of hypothesis that individuals with high cfPWV values have worse cognitive function than can be inferred from a linear association, cfPWV was dichotomized at the 90th percentile (the binary variable denoted cfPWV >13.8). When cfPWV >13.8 was added to the model, the linear association between continuous cfPWV and AQT disappeared (B = -0.08; P = 0.72), but cfPWV >13.8 was highly significant (B = 4.81; P = 0.004). In the adjusted model with MMSE as outcome variable, cfPWV >13.8 also reached a statistically significant effect.

CONCLUSION: Arterial stiffness was inversely associated with cognitive function in a nonlinear fashion, with individuals in the top decentile of cfPWV explaining the association. Results from linear regressions should thus be interpreted with caution because, even when statistical significance is reached, they can be explained by pronounced nonlinearity.

Place, publisher, year, edition, pages
Lippincott Williams & Wilkins, 2014. Vol. 32, no 11, p. 2152-2157
National Category
Geriatrics Neurology
Identifiers
URN: urn:nbn:se:liu:diva-162689DOI: 10.1097/HJH.0000000000000329ISI: 000343245200007PubMedID: 25275244Scopus ID: 2-s2.0-84927623015OAI: oai:DiVA.org:liu-162689DiVA, id: diva2:1379220
Available from: 2019-12-16 Created: 2019-12-16 Last updated: 2020-01-08Bibliographically approved

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Nägga, Katarina
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