6 research outputs found
Clinical characteristics of subject groups.
<p>Values are Mean +/- SD, <i>P</i>1 is the probability for the comparison between females and males. <i>P</i>2 is the probability between baseline and follow up.</p
Correlations between natural log morning rate of rise (RoR) in mean arterial pressure (MAP) (left panels) and power (right panels) and plasma levels of cholesterol (top), low density lipoprotein (LDL, middle) and high density lipoprotein (HDL) from subjec
<p>Thick line represents least squares regression lines and thin lines are 99% confidence limits. r is the correlation co-efficient and P is the probability.</p
Linear regression coefficient (b), 95% CI and p-value of baseline predictors of the RoR and BP<sub>Power</sub> as natural log (ln) from a univariate and multivariate analysis of 409 subjects.
<p>Linear regression coefficient (b), 95% CI and p-value of baseline predictors of the RoR and BP<sub>Power</sub> as natural log (ln) from a univariate and multivariate analysis of 409 subjects.</p
Correlations between post awake 2(MAP) (left panels) and post awake 2 hours minus pre awake 2 hours (right panels) and plasma levels of cholesterol (top), low density lipoprotein (LDL, middle) and high density lipoprotein (HDL) from subjects (n = 307).
<p>Thick line represents least squares regression lines and thin lines are 99% confidence limits. r is the correlation co-efficient and P is the probability.</p
Linear regression coefficient (b), 95% CI and p-value of baseline predictors of the change in natural log (ln) RoR and BP<sub>power</sub> between first follow-up and baseline visits from a univariate and multivariate ANCOVA analysis of recordings from 213
#<p>Also adjusted for baseline ln ROR and time between visits,</p>∧<p>Also adjusted for baseline ln BP<sub>power</sub> and time between visits.</p
Correlations between natural log morning rate of rise (RoR) in mean arterial pressure (MAP) (left panels) and power (right panels) and body mass index (BMI) and age from subjects (n = 409).
<p>Thick line represents least squares regression lines and thin lines are 99% confidence limits. r is the correlation co-efficient and P is the probability.</p