The Egyptian Journal of Internal Medicine

Table 4 Correlations of hepcidin and linear regression analysis for hepcidin as dependent variable

From: Interplay of serum hepcidin with female sex hormones, metabolic syndrome, and abdominal fat distribution among premenopausal and postmenopausal women

	Early follicular phase				Mid Luteal phase				Post-menopause
	Bivariate		Multivariate		Bivariate		Multivariate		Bivariate		Multivariate
	Bivariate		R = 0.89 Adjact R² = 0.78		Bivariate		R = 0 .83 Adjact R² = 0.68		Bivariate		R = 0.93 Adjact R² = 0.85
	r	p-value	Beta	p-value	r	p-value	Beta	p-value	r	p-value	Beta	p-value
			Cons	0.22			Cons	0.147	0.64	< 0.001	Cons	< 0.001
Iron	− 0.38	< 0.001	0.20	< 0.001	− 0.57	< 0.001	− 0.08	0.02	− 0.57	< 0.001	0.15	0.005
Ferritin	0.82	< 0.001	0.51	< 0.001	0.95	< 0.001	0.84	< 0.001	0.77	< 0.001	0.48	< 0.001
H/F ratio	0.39	< 0.001			0.143	0.165			0.02	0.853
Estradiol	0.25	0.007			0.19	0.06			0.51	< 0.001
Progesterone	0.45	< 0.001	0.22	< 0.001	-0.02	0.81			0.36	0.003	− 0.20	0.002
Insulin	0.55	< 0.001			0.77	< 0.001			0.78	< 0.001	0.24	0.001
HOMA-IR	0.55	< 0.001			0.75	< 0.001			0.78	< 0.001
SCT	0.62	< 0.001	0.31	< 0.001	0.62	< 0.001	0.1	0.004	0.67	< 0.001
PVF	0.17	0.96			0.17	0.96			0.49	< 0.001
MetS	0.79	< 0.001			0.75	< 0.001			0.83	< 0.001	0.18	0.006

H/F Ratio hepcidin/ferritin ratio, HOMA-IR Homeostatic model assessment of insulin resistance, SCF Subcutaneous fat thickness, PVF Peritoneal visceral fat thickness, PVF, MetS Metabolic syndrome

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