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Metabolic risk was assessed using a composite z-score integrating standardized measurements of blood pressure, total cholesterol, high density lipoprotein, triglycerides and fat mass.
The mean global composite Z-score at baseline was -1.0 (N = 33; SD = 0.6).
In Table 2, we present summary data on the cognitive tests in calculating the composite Z-score.
Metabolic syndrome variables (waist circumference, blood pressure, HDL-C, TG and glucose) will be standardized to z-score variables with mean=0, SD=1 and a composite z-score will be computed for the presence/absence of the metabolic syndrome.
In patients whose neurocognitive testing results were evaluable (based on prespecified criteria for the validity of the cognitive tests, n = 267), the effect of lurasidone 160 mg/d on cognitive performance (LS mean change 0.5, SE 0.24) was superior to both placebo (–0.16, SE 0.23, p = 0.038) and quetiapine XR (–0.24, SE 0.23, p = 0.018), as assessed by the CogState composite Z-score.
A few outliers (where | z-score| > 2) appear in Table 1: FFLs in Yeast Sporulation (z-score = 2.31), 3-CYCs in Yeast Stress Response (z-score = 2.47) and neuronal signalling pathway (z-score = 2.4), and Bifans in Yeast Composite (z-score = -2.05) and Cell Cycle (z-score = -2.33).
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Cognitive performance was assessed at baseline and week 6 with the CogState Computerized Schizophrenia Battery, using a composite Z score.
There was no significant association (p=0.512) between kilometers bicycled to school and change in composite Z score.
Changes in insulin resistance explained ∼17% of changes in composite z score (partial r = 0.1703, P < 0.0001).
Based on adjusted efficacy analyses children who started bicycling to school lowered their standardised composite Z score (β=−0.63, p=0.015) compared to controls.
Composite baseline and follow-up Z scores were then standardised according to the baseline mean and SD allowing for the interpretation of change in composite Z score.
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