Skip Navigation LinksHome > November 2014 - Volume 32 - Issue 11 > Nonlinear association between pulse wave velocity and cognit...
Journal of Hypertension:
doi: 10.1097/HJH.0000000000000329
ORIGINAL PAPERS: Epidemiology

Nonlinear association between pulse wave velocity and cognitive function: a population-based study

Nilsson, Erik D.a; Elmståhl, Sölveb; Minthon, Lennarta; Nilsson, Peter M.c; Pihlsgård, Matsb; Tufvesson, Evaa; Nägga, Katarinaa

Collapse Box

Abstract

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.

© 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins

Login

Search for Similar Articles
You may search for similar articles that contain these same keywords or you may modify the keyword list to augment your search.