New CVD Risk Factors for Lowered Cognitive Functioning

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT00037310

Enrollment

Unknown

Registered

2002-05-17

Start date

2001-04-30

Completion date

2007-03-31

Last updated

2016-07-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Diseases, Heart Diseases, Hypertension, Neurologic Manifestations

Brief summary

To explore the associations between cognitive functioning and three major cardiovascular disease risk factors: high blood pressure; high total plasma homocysteine (tHcy); and ApoE e4 genotype.

Detailed description

BACKGROUND: Arterial hypertension and high blood pressure (HBP) are major risk factors for cardiovascular disease (CVD) and stroke; they are also risk factors for lowered cognitive functioning. Except for diabetes, there have been comparatively few studies of other common risk factors, particularly with regard to interrelationships among risk factors which may adversely affect cognitive ability. DESIGN NARRATIVE: The study examines associations between cognitive functioning and three cardiovascular risk factors: 1) high blood pressure; 2) high total plasma homocysteine (tHcy), and 3) ApoE e4 genotype. These associations are examined cross-sectionally as well as longitudinally, using data collected at a follow-up visit of members of a cohort that has been followed for the past 18-19 years. Longitudinal data are used to examine both current and change in cognitive functioning. Some analyses are prospective (e.g., high blood pressure and change in cognitive functioning), while others are cross-sectional (e.g., ApoE e4 and current cognitive functioning) or retrospective (e.g., tHcy and change in cognitive functioning). Structural equation models are used to examine cross-sectional data in elucidating a general theoretical model. Two-stage growth curve analyses and survival analyses are appropriate methods for analyzing the longitudinal data. The study includes a very comprehensive set of measures that have already been collected or will be collected during the follow-up visit. All potential confounders of the association between the three target predictor variables and the various domains of cognitive functioning appear to have been included in this design.

Interventions

None listed

Eligibility

Sex/Gender

MALE

Age

No minimum to 100 Years

Healthy volunteers

Inclusion criteria

No eligibility criteria

Outcome results