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. 2025 Aug 22;17:350. doi: 10.1186/s13098-025-01883-6

Table 2.

Univariable and multivariable logistic regression for associations between OAB and Mets

Variables Crude model Model 1 Model 2
OR (95%CI) p-value OR (95%CI) p-value OR (95%CI) p-value
Mets
 No Ref Ref Ref
 Yes 2.27 (1.89, 2.72) < 0.001 1.42 (1.15, 1.74) 0.002 1.26 (1.02, 1.57) 0.035
Hypertension
 No Ref Ref Ref
 Yes 1.62 (1.25, 2.10) < 0.001 0.82 (0.63, 1.08) 0.162 0.81 (0.61, 1.08) 0.149
Diabetes
 No Ref Ref Ref
 Yes 3.54 (2.81, 4.46) < 0.001 2.12 (1.64,2.73) < 0.001 1.97 (1.50, 2.58) < 0.001
BMI 1.50 (1.35, 1.67) < 0.001 1.42 (1.29, 1.56) < 0.001 1.39 (1.27, 1.52) < 0.001
WC 1.53 (1.41, 1.66) < 0.001 1.37 (1.26, 1.49) < 0.001 1.33 (1.22,1.44) < 0.001
FBG 1.44 (1.31, 1.59) < 0.001 1.28 (1.16,1.40) < 0.001 1.23 (1.11, 1.35) < 0.001
TG 0.99 (0.92, 1.07) 0.859 0.98 (0.92, 1.06) 0.636 0.95 (0.89, 1.03) 0.191
HDL-C 1.11 (0.28, 4.33) 0.877 0.06 (0.01, 0.23) < 0.001 0.29 (0.08,1.03) 0.056

Crude model was unadjusted, Model1 was adjusted for age, gender and race, and Model 3 was adjusted for age, gender, race, marital status, family income-poverty, education levels, drinking, smoking, coronary heart disease and congestive heart failure. OAB, overactive bladder; Mets, metabolic syndrome; BMI, body mass index; WC, waist circumference; FBG, fasting blood glucose; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; OR, odd ratio; CI, confidence interval