BMC Endocrine Disorders

Table 4 Correlations of IGFBP-3 levels with demographic and pathological features with and without BMI adjustment by group

From: Associations among IGF-1, IGF2, IGF-1R, IGF-2R, IGFBP-3, insulin genetic polymorphisms and central precocious puberty in girls

Variables	r with IGFBP-3 (ng/ml)			Adjusted r’ with IGFBP-3 (ng/ml)^a
Variables	Total (n = 489)	Control (n = 225)	CPP (n = 264)	Total (n = 485)	Control (n = 221)	CPP (n = 261)
Chronological age, years	0.096^e	0.148^e	0.110	0.077	0.134^e	0.100
Bone age, years	0.343^c	0.266^c	0.157^e	0.314^c	0.240^c	0.148^e
BA/CA ratio	0.360^c	0.227^d	0.096	0.335^c	0.199^d	0.098
Age of onset, years	−0.057	0.170^e	−0.033	−0.102^e	−0.053	0.009
Z-scores of height^b	0.131^e	0.171^e	0.121^e	0.012	−0.049	0.087
Z-scores of weight^b	0.078	0.019	0.103	0.028	−0.023	0.087
Z-scores of BMI^b	0.124^d	0.170^e	0.102	–	–	–
E2, pmol/l	0.042	0.043	0.018	0.036	0.041	0.012
FSH, U/l	0.395^c	0.584^c	−0.106	0.395^c	0.593^c	−0.102
LH, U/l	0.262^c	0.274^c	0.066	0.240^c	0.308^c	0.057
GH, ng/ml	0.026	−0.018	0.090	0.036	−0.005	0.093

^aAdjusted r’: correlation with BMI adjustment
^bZ-score calculated with WHO Child Growth Standards for children up to 5 years old [25] and WHO 2007 reference for children older than 5 years [26]
^{c, d, e}Correlations are significant at the 0.001, 0.01, and 0.05 levels (2-tailed)

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