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. 2017 Aug 14;14(4):3887–3893. doi: 10.3892/etm.2017.4925

Table II.

Logistic regression analysis for predicting hyperinsulinemia.

Models B SE P-value OR (95% CI)
Model I
−Decrease in CD19+CD24hiCD38hi/CD19+ 0.043 0.022 0.041 1.044 (1.0011.090)
−Decrease in CD19+CD24hiCD38hi/L 0.338 0.122 0.006 1.402 (1.103–1.782)
Model II
−Decrease in CD19+CD24hiCD38hi/CD19+ 0.05 0.024 0.038 1.051 (1.003–1.102)
−Decrease in CD19+CD24hiCD38hi/L 0.365 0.148 0.014 1.440 (1.076–1.926)
Model III
−Decrease in CD19+CD24hiCD38hi/L 0.046 0.024 0.035 1.372 (1.022–1.843)

Model I, variables were introduced into the logistic regression model; Model II, adjustment for confounding factors including anti-thyroid peroxidase antibodies, anti-thyroglobulin antibodies, age and gender; Model III, further adjustment for height, weight, body mass index, waist and hip circumferences, and blood pressure. B, regression coefficient; SE, standard error; OR, odds ratio; CI, confidence interval; L, lymphocytes.