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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Psychoneuroendocrinology. 2014 Jan 22;42:118–123. doi: 10.1016/j.psyneuen.2014.01.006

Table 1.

Relationships between IGF-1, GDS, and AVLT Domains (n = 94)

Model a Model b Model c

B (SE) q value (p value) B (SE) q value (p value) B (SE) q value (p value)
Total learning
 GDS −1.62 (1.00) .44 (.11) −1.60 (1.00) .44 (.11) 0.23 (1.41) .87 (.87)
 IGF-1 0.87 (1.62) .79 (.59) 4.34 (2.49) .16 (.082)
 IGF-1 × GDS −3.23 (1.79) .071 (.071)
Immediate recall
 GDS −0.09 (0.34) .80 (.80) −0.09 (0.34) .79 (.79) 0.57 (0.48) .32 (.24)
 IGF-1 −0.07 (0.55) .90 (.90) 1.18 (0.85) .16 (.16)
 IGF-1 × GDS −1.16 (0.61) .071 (056)
Delayed recall
 GDS −0.34 (0.36) .80 (.71) −0.35 (0.36) .60 (.33) 0.79 (0.49) .24 (.11)
 IGF-1 −0.57 (0.58) .66 (.33) 1.58 (0.87) .16 (.068)
 IGF-1 × GDS −2.01 (0.62) .004 (.001)
Recognition
 GDS −0.36 (0.51) .80 (.48) −0.38 (0.51) .60 (.45) 1.09 (0.70) .24 (.12)
 IGF-1 −1.00 (0.82) .66 (.23) 1.79 (1.23) .16 (.15)
 IGF-1 × GDS −2.60 (0.88) .006 (.003)

Note. Confounding factors included age, gender, education, use of ERT, use of antihypertensive, and sleep quality.

IGF-1 high level was taken as referent.

GDS was recoded as ln(GDS raw score +1).