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. 2018 Jan 10;8:5. doi: 10.1038/s41398-017-0051-0

Table 3.

Results of hierarchical regression models with CRHR1 TAT haplotype count predicting cognitive performance on the California Verbal Learning Test-2nd Edition (CVLT-II), controlling for participant age, sex, diagnostic group (major depressive disorder with vs. without psychotic features), and evening cortisol levels

CVLT-II variable Full model: age, sex, diagnostic group, cortisol, and TAT haplotype count Step 1: age, sex, diagnostic group, and cortisol Step 2: TAT haplotype count Significant predictors in full model
Total learning over trials 1–5 R2 = 34.6% R2 = 20.5% ΔR2 = 14.1% Age t = −3.33, p = .002
F(5, 49) = 5.19, F(4, 50) = 3.23, F(1, 49) = 10.55, TAT t = −3.25, p = .002
p = .001 p = .020 p = .002
Short-delay, free recall R2 = 30.6%, R2 = 16.6%, ΔR2 = 14.0%, Group t = 2.15, p = .037
F(5, 49) = 4.32, F(4, 50) = 2.49, F(1, 49) = 9.91, TAT t = −3.18, p = .003
p = .002 p = .055 p = .003
Long-delay, free recall R2 = 27.2%, R2 = 17.5%, ΔR2 = 9.7%, Group t = 2.62, p = .012
F(5, 49) = 3.66, F(4, 50) = 2.66, F(1, 49) = 6.52, TAT t = −2.55, p = .014
p = .007 p = .043 p = .014

Full model statistics and R2 are given for each step; N = 55 included in analysis