Non-hemodynamic predictors of arterial stiffness after 17 years of follow-up: the Malmö Diet and Cancer study.

Mikael Gottsäter, Gerd Östling, Margaretha Persson, Gunnar Engström, Olle Melander, Peter M Nilsson
Author Information
  1. Mikael Gottsäter: Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.

Abstract

BACKGROUND: Arterial stiffness plays a fundamental role in the development of hypertension and is a risk factor for both cardiovascular disease and mortality. The stiffening that occurs with increasing age has, in numerous cross-sectional studies, been shown to be associated with several cardiovascular risk factors. This observational study aims to characterize the predictive and cross-sectional markers focusing on the non-hemodynamic component of Arterial stiffness.
METHOD: In all, 2679 men and women from Malmö, Sweden, were examined at baseline during 1991-1994, and again at follow-up during 2007-2012 (mean age 72 years, 38% men). Follow-up examination included measurement of Arterial stiffness by carotid-femoral pulse wave velocity (c-fPWV), after a mean period of 17 years. The associations between c-fPWV and risk markers were calculated with multiple linear regression.
RESULTS: The results indicated that for both sexes, waist circumference (β = 0.17, P < 0.001), fasting glucose (β = 0.13, P < 0.001), Homeostatic Model Assessment - Insulin Resistance (β = 0.10, P < 0.001), triglycerides (β = 0.10, P < 0.001), and high-density lipoprotein cholesterol (β = -0.08, P < 0.001) were all predictors of cfPWV adjusted for mean arterial pressure and heart rate, as well as for classical cardiovascular risk factors and drug treatment. There were no associations between baseline or follow-up low-density lipoprotein cholesterol, smoking, or eGFR and c-fPWV.
CONCLUSION: The non-hemodynamic cluster of risk markers and predictors of Arterial stiffness in a middle-aged population includes abdominal obesity, hyperglycemia, and dyslipidemia, but not smoking and low-density lipoprotein cholesterol. This pattern existed in both sexes.

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MeSH Term

Aged
Biomarkers
Blood Glucose
Cardiovascular Diseases
Cholesterol, HDL
Cholesterol, LDL
Cross-Sectional Studies
Diabetes Mellitus
Fasting
Female
Follow-Up Studies
Heart Rate
Humans
Hypertension
Insulin Resistance
Linear Models
Male
Middle Aged
Multivariate Analysis
Prevalence
Prospective Studies
Pulse Wave Analysis
Risk Factors
Sweden
Triglycerides
Vascular Stiffness
Waist Circumference

Chemicals

Biomarkers
Blood Glucose
Cholesterol, HDL
Cholesterol, LDL
Triglycerides

Word Cloud

Created with Highcharts 10.0.0stiffnessriskarterialP < 0001β = 0cardiovascularmarkersmeanyearsc-fPWV17lipoproteincholesterolpredictorsagecross-sectionalfactorsstudynon-hemodynamicmenMalmöbaselinefollow-upassociationssexes10low-densitysmokingBACKGROUND:ArterialplaysfundamentalroledevelopmenthypertensionfactordiseasemortalitystiffeningoccursincreasingnumerousstudiesshownassociatedseveralobservationalaimscharacterizepredictivefocusingcomponentMETHOD:2679womenSwedenexamined1991-19942007-20127238%Follow-upexaminationincludedmeasurementcarotid-femoralpulsewavevelocityperiodcalculatedmultiplelinearregressionRESULTS:resultsindicatedwaistcircumferencefastingglucose13HomeostaticModelAssessment-InsulinResistancetriglycerideshigh-densityβ = -008cfPWVadjustedpressureheartratewellclassicaldrugtreatmenteGFRCONCLUSION:clustermiddle-agedpopulationincludesabdominalobesityhyperglycemiadyslipidemiapatternexistedNon-hemodynamicfollow-up:DietCancer

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