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. 2018 Jan 9;40(2):304–311. doi: 10.1093/pubmed/fdx186

Table 2.

Restricted cubic spline regression model results with baseline measures predicting mean reaction time (RT) and intra-individual variation in reaction time (IIV) at follow-up (N = 13 342)

Predictors Outcomes β (95% CI) P value
RT IIV
Mean reaction time baseline 0.548 (0.529 to 0.561) <0.001
Intra-individual variation at baseline 0.178 (0.161 to 0.196) <0.001
Alcohol use: spline 1 (linear effect ≤ 10 g/day) −0.048 (−0.105 to −0.030) 0.001 −0.055 (−0.125 to −0.034) 0.001
Alcohol use: spline 2 (slope effect) 0.035 (0.007 to 0.059) 0.013 0.034 (0.002 to 0.064) 0.039
Age in years (at repeat assessment) 0.135 (0.072 to 0.107) <0.001 0.085 (0.072 to 0.107) <0.001
Gender (reference: female) −0.023 (−0.037 to −0.008) 0.002 −0.005 (−0.023 to 0.013) 0.558
Education (reference: no degree) −0.027 (−0.047 to −0.014) <0.001 −0.031 (−0.047 to −0.014) <0.001
Previous tobacco use (reference: non-smoker) 0.020 (0.005 to 0.033) 0.008 0.008 (−0.009 to 0.025) 0.336
Fit R2 = 0.35; AIC = −13 691 R2 = 0.05; AIC = 24 985

B, unstandardized regression coefficient; SE B, standard error for the unstandardized regression coefficient; β (95% CI), standardized regression coefficient and 95% confidence intervals. Note: results for smoking, walking, BMI and deprivation omitted as did not approach statistical significance for either outcome