Skip to main content
. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: Neurobiol Aging. 2016 Jan 29;40:155–163. doi: 10.1016/j.neurobiolaging.2016.01.011

Table 2.

Longitudinal metabolic and cognitive change in women randomized to placebo

Within-Cluster Changes and Pairwise Comparisons
HEALTHY
METABOLIC
HIGH BLOOD
PRESSURE
POOR
METABOLIC
P-values
between
clusters
A. Metabolic Biomarkers
Glucose (mg/dL) 0.29 (0.30) 0.42 (0.32) −0.21 (0.43) 0.48
HOMA Score 0.018 (0.01) 0.025 (0.01) *a −0.025 (0.01)ab 0.02
Ketones (mM) −0.04 (0.01) * −0.01 (0.01) −0.02 (0.01) 0.01
HDL Cholesterol (mg/dL) 1.02 (0.25) * 1.24 (0.27) * 0.59 (0.37) 0.37
LDL Cholesterol (mg/dL) −2.75 (0.68) * −2.17 (0.72) * −4.82 (0.98) *b 0.09
Triglycerides (mg/dL) 0.01 (0.01) −0.0001 (0.01) −0.03 (0.01) *ab 0.003
HbA1c (%) 0.04 (0.01) * 0.05 (0.01) * 0.06 (0.01) * 0.38
Systolic Blood Pressure (mmHg) 0.79 (0.30) * −1.68 (0.32) *a −0.64 (0.43)a <0.0001
Diastolic Blood Pressure (mmHg) 0.42 (0.19) * −1.31 (0.21) *a −0.43 (0.28)ab <0.0001

B. Cognitive Performance
Global Cognition 0.141 (0.03)* 0.104 (0.03)* 0.163 (0.04)* 0.46
Verbal Memory 0.134 (0.03)* 0.133 (0.03)* 0.138 (0.04)* 0.99
Executive Functions 0.002 (0.02) −0.012 (0.02) 0.006 (0.02) 0.78

A. Average (SEM) longitudinal change per year for each metabolic biomarker within each phenotype. Changes in HOMA, ketones, and triglycerides are expressed as log values due to a skewed distribution of values within the population. B. Average (SEM) longitudinal change per year for each cognitive composite score within each phenotype.

*

Significant longitudinal change from baseline (p < 0.05).

a

Longitudinal change is significantly different from the Healthy phenotype (p < 0.05).

b

Longitudinal change is significantly different from the High BP phenotype (p < 0.05). Data were analyzed using mixed effects linear models. The regression coefficient for time (years) since randomization estimated the slope of metabolic/cognitive change (in units/year). The Tukey-Kramer method was used to adjust for multiple comparisons.