Analysis of influencing factors and interaction of body weight and disease outcome in patients with prediabetes

Table 4 Logistic regression analysis of disease outcomes in prediabetes patients

Independent variable	β	SE	Wals	P value	OR	95%CI
Blood glucose status			1.138	0.566
Blood glucose status (1)	0.034	0.958	0.001	0.972	1.035	0.158-6.771
Blood glucose status (2)	0.588	0.648	0.825	0.364	1.801	0.506-6.415
Smoking history	0.916	0.486	3.553	0.059	2.499	0.964-6.479
Drinking history	0.341	0.457	0.555	0.456	1.406	0.574-3.445
Weight	0.066	0.020	11.128	0.001	1.068	1.028-1.110
Waist circumference	0.041	0.022	3.427	0.064	1.042	0.998-1.089
BMI	0.006	0.060	0.010	0.920	1.006	0.895-1.131
2h PG	0.150	0.204	0.538	0.463	1.162	0.778-1.734
Systolic blood pressure	0.015	0.010	2.213	0.137	1.016	0.995-1.036
Glycosylated hemoglobin	2.542	0.599	18.014	< 0.001	12.705	3.928-41.092
TG	0.527	0.528	0.997	0.318	1.694	0.602-4.772
Uric acid	0.007	0.003	7.217	0.007	1.007	1.002-1.012
SLA	0.001	0.003	0.226	0.635	1.001	0.996-1.007
FINS	0.503	0.169	8.872	0.003	1.653	1.188-2.301
HOMA-IR	2.224	0.547	16.561	< 0.001	9.245	3.167-26.984
Constant (quantity)	-38.654	6.686	33.420	< 0.001	< 0.001	-

BMI: Body mass index; 2h PG: 2h postprandial blood glucose; TG: Triglycerides; SLA: Anti-soluble liver antigen antibodies; FINS: Fasting insulin; HOMA-IR: Homeostatic model assessment for insulin resistance; OR: Odds ratio; CI: Confidence interval.