Exploring the association between osteoporosis and kidney stones: a clinical to mechanistic translational study based on big data and bioinformatics

Table 3 Logistic regression analysis of BMD and kidney stone

Variables	Model 1		Model 2		Model 3
Variables	OR (95%CI)	P	OR (95%CI)	P	OR (95%CI)	P
FN BMD	0.32 (0.22 ~ 0.48)	< 0.001	0.36 (0.21 ~ 0.60)	< 0.001	0.35 (0.18 ~ 0.68)	0.002
L1 BMD	0.90 (0.63 ~ 1.28)	0.548	0.54 (0.36 ~ 0.82)	0.003	0.43 (0.25 ~ 0.74)	0.002
L2 BMD	0.80 (0.56 ~ 1.14)	0.216	0.57 (0.39 ~ 0.85)	0.006	0.47 (0.28 ~ 0.78)	0.004
L3 BMD	0.79 (0.55 ~ 1.12)	0.179	0.58 (0.40 ~ 0.84)	0.004	0.49 (0.30 ~ 0.80)	0.005
L4 BMD	0.80 (0.57 ~ 1.13)	0.206	0.53 (0.37 ~ 0.77)	< 0.001	0.48 (0.29 ~ 0.78)	0.003
Osteopenia	1.39 (1.23 ~ 1.58)	< 0.001	1.25 (1.08 ~ 1.43)	0.002	1.24 (1.08 ~ 1.43)	0.002
Osteoporosis	1.50 (1.22 ~ 1.85)	< 0.001	1.39 (1.09 ~ 1.77)	0.007	1.41 (1.11 ~ 1.79)	0.005

Results with significant differences are shown in bold
Model 1: unadjusted
Model 2: adjusted for age, gender, race/ethnicity, education level and BMI
Model 3: further adjusted for diabetes, hypertensive, smoke, alcohol consumption, Vitamin D, Calcium, Phosphorus and Magnesium

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