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. 2022 Jun 30;13:891382. doi: 10.3389/fendo.2022.891382

Table 3.

Multiple logistic regression models for the association of MAFLD related variables and osteoporosis.

MAFLD related variables N Non-adjusted Adjust I Adjust II
Overweight 1499 0.23 (0.16, 0.33) 0.22 (0.15, 0.33) 0.28 (0.18, 0.44) graphic file with name fendo-13-891382-i001.jpg
Diabetes 605 0.59 (0.39, 0.90) 0.65 (0.42, 1.01) 0.82 (0.50, 1.34)
Prediabetes 480 0.87 (0.58, 1.31) 0.71 (0.46, 1.11) 0.91 (0.56, 1.49)
Abdominal obesity 1250 0.53 (0.38, 0.75) 0.27 (0.18, 0.40) 0.41 (0.26, 0.65)
Hypertension 1061 0.73 (0.52, 1.02) 0.59 (0.41, 0.86) 0.80 (0.53, 1.20)
Hypertriglyceridemia 1258 0.72 (0.51, 1.01) 0.55 (0.38, 0.80) 0.67 (0.44, 1.01)
Low HDL 1212 0.66 (0.47, 0.93) 0.49 (0.34, 0.70) 0.56 (0.37, 0.84)
Hyper-hsCRP 917 0.62 (0.43, 0.88) 0.60 (0.41, 0.88) 0.53 (0.34, 0.82)
Insulin resistance 479 0.56 (0.35, 0.89) 0.64 (0.39, 1.05) 0.78 (0.45, 1.35)

Survey-weight adjusted multiple logistic regression model were used in this analysis. The adjust I was adjusted for age, sex,race/ethnicity, education, marital status. The adjust II was adjusted for dring habit, uric acid, Phosphorus, alkaline phosphatase,creatinine, alanine aminotransferase, copd, cancer, family history of osteoporosis, in addition to adjust I.