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Table 3 Logistic regression analysis of different degrees of body fat distribution characteristics and hyperuricemia in MAFLD

From: Correlation between serum uric acid and body fat distribution in patients with MAFLD

variable

OR (95% CI) P

Model1

Model2

Model3

Model4

Total body fat mass

1.000 (1.000, 1.000) = 0.896

1.000 (1.000, 1.001) = 0.241

1.000 (1.000, 1.000) = 0.918

1.000 (1.000, 1.000) = 0.671

Upper limbs fat mass

1.000 (0.999, 1.001) = 0.953

1.000 (0.999, 1.002) = 0.654

1.000 (0.999, 1.001) = 0.729

1.000 (0.999, 1.001) = 0.532

Trunk fat mass

1.000 (1.000, 1.000) = 0.948

1.000 (1.000, 1.001) = 0.400

1.000 (1.000, 1.000) = 0.899

1.000 (1.000, 1.000) = 0.961

VAT

1.016 (1.004, 1.027) = 0.006

1.018 (1.004, 1.032) = 0.009

1.015 (1.002, 1.027) = 0.023

1.014 (1.001, 1.028) = 0.032

SAT

1.003 (0.996, 1.010) = 0.367

1.006 (0.997, 1.014) = 0.177

0.999 (0.992, 1.006) = 0.856

1.000 (0.993, 1.007) = 0.991

Android fat mass

1.000 (0.998, 1.002) = 0.798

1.001 (0.998, 1.003) = 0.660

1.000 (0.999, 1.001) = 0.643

0.999 (0.998, 1.001) = 0.402

Android/Gynoid ratio

0.063 (0.000, 37.604) = 0.396

0.117 (0.000, 342.858) = 0.599

0.123 (0.001, 15.854) = 0.398

0.003 (0.000, 1.506) = 0.067

Adipo-IR

1.089 (1.017, 1.166) = 0.014

1.079 (1.006, 1.157) = 0.033

1.100 (1.010, 1.198) = 0.028

1.094 (1.002, 1.194) = 0.046

  1. Model1: adjusted for sex, age, hypertension, BMI; Model2: adjusted sex, age, BMI, HbA1c; Model3; adjusted sex, age, BMI, HOMAIR; Model4:adjusted sex, age, BMI, TG, TC, HOMAIR
  2. Abbreviations: VAT visceral adipose tissue, SAT subcutaneous adipose tissue, Adipo-IR adipose tissue insulin resistance