Table 2.

Regression analysis showing the association between dietary live microbe intake and obesity, and abdominal obesity.

Variables	Model 1		Model 2		Model 3		Model 4
	OR (95% CI)	p	OR (95% CI)	p	OR (95% CI)	p	OR (95% CI)	p
Obesity
Log10 transformed MedHi (g)
	0.91 [0.89, 0.94]	<0.001	0.93 [0.90, 0.96]	<0.001	0.93 [0.90, 0.96]	<0.001	0.94 [0.91, 0.97]	<0.001
Categories
G1	1		1		1		1
G2	0.95 [0.83, 1.09]	0.497	0.99 [0.86, 1.14]	0.862	1.01 [0.87, 1.16]	0.941	1.01 [0.87, 1.18]	0.849
G3	0.75 [0.68, 0.83]	<0.001	0.80 [0.72, 0.88]	<0.001	0.81 [0.73, 0.89]	<0.001	0.82 [0.74, 0.91]	<0.001
p for trend	<0.001		<0.001		<0.001		<0.001
Dietary live microbe intake group
Low	1		1		1		1
Moderate	0.83 [0.75, 0.91]	<0.001	0.85 [0.77, 0.95]	0.003	0.86 [0.77, 0.95]	0.005	0.88 [0.79, 0.98]	0.018
High	0.74 [0.67, 0.81]	<0.001	0.81 [0.73, 0.89]	<0.001	0.83 [0.74, 0.92]	0.001	0.84 [0.75, 0.94]	0.002
p for trend	<0.001		<0.001		<0.001		<0.001
Abdominal obesity
Log10 transformed MedHi (g)
	0.96 [0.93, 0.98]	0.003	0.92 [0.90, 0.95]	<0.001	0.93 [0.90, 0.96]	<0.001	0.94 [0.91, 0.97]	<0.001
Categories
G1	1		1		1		1
G2	1.02 [0.91, 1.14]	0.733	0.99 [0.87, 1.12]	0.851	1.00 [0.88, 1.14]	0.993	1.01 [0.88, 1.16]	0.904
G3	0.88 [0.81, 0.96]	0.005	0.79 [0.72, 0.87]	<0.001	0.81 [0.73, 0.89]	<0.001	0.83 [0.75, 0.91]	<0.001
p for trend	0.004		<0.001		<0.001		<0.001
Dietary live microbe intake group
Low	1		1		1		1
Moderate	0.93 [0.84, 1.02]	0.13	0.83 [0.75, 0.92]	0.001	0.84 [0.75, 0.93]	0.001	0.86 [0.77, 0.96]	0.006
High	0.88 [0.79, 0.97]	0.01	0.83 [0.74, 0.92]	0.001	0.85 [0.76, 0.96]	0.01	0.87 [0.77, 0.98]	0.021
p for trend	0.009		<0.001		0.007		0.017

Model 1: Crude model. Model 2: Adjusted for age, sex, race, education, smoking status, drinking status, PIR, and recreational activity. Model 3: Adjusted for Model 2 plus energy intake (kcal/day), CHOL, TG, HbA1c, uric acid, diabetes, hypertension, CVD, and months of blood collection. Model 4: Adjusted for Model 3 plus serum vitamin D.