Case-control study of metabolic syndrome and ovarian cancer in Chinese population

Nutrition & Metabolism

Table 5 Binary logistic regression analysis examining patients with MetS for characteristics of epithelial ovarian cancer

Variable	FIGO stage		OR (95% CI)^a	P-value	Grade		OR (95% CI)^a	P-value	LN metastasis		OR (95% CI)^a	P-value
	I-II	III-IV			G_1–2	G₃			Yes	No
MetS			2.155(1.327–3.498)	0.002			2.472(1.164–5.250)	0.019	33	111	2.590(1.089–6.160)	0.031
Yes	25	119			94	50			53	376
No	129	300			348	81
BMI(kg/m2)			2.089(1.241–3.516)	0.006			0.853(0.516–1.409)	0.534	34	175	0.777(0.435–1.388)	0.394
≥25	39	170			156	53			52	312
<25	115	249			286	78
DM			0.726(0.341–1.545)	0.406			0.819(0.485–1.383)	0.456	31	130	1.091(0.611–1.948)	0.769
Yes	29	132			121	40			55	357
No	125	287			321	91
HBP			1.576(0.969–2.564)	0.067			0.957(0.583–1.571)	0.862	32	144	0.971(0.553–1.705)	0.918
Yes	37	139			129	47			54	343
No	117	280			313	84
TG (mmol/L)			1.285(0.827–1.997)	0.266			1.386(0.829–2.316)	0.213	26	144	0.697(0.394–1.233)	0.215
TG<1.70	50	120			143	27			60	343
TG ≥ 1.70	104	299			299	104
HDL-C(mmol/L)			1.357(0.741–2.488)	0.323			1.014(0.566–1.816)	0.963	68	413	1.061(0.539–2.089)	0.864
HDL-C ≥ 1.0	133	348			378	103			18	74
HDL-C<1.0	21	71			64	28

MetS metabolic syndrome, OR odds ratio, CI confidence interval, BMI body mass index, DM diabetes mellitus, HBP high blood pressure, TG Triglyceride, HDL-C high-density lipoprotein cholesterol
^aAdjusted for age in logistic regression model

ISSN: 1743-7075