Table 7

Logistic regression model to analyse the influencing factors

Variable	Univariate regression			Multivariate regression*
Variable	OR	95% CI	p Value	OR	95% CI	p Value
Experience of food shortage	1.39	1.15 to 1.69	<0.001	1.66	1.26 to 2.19	<0.001
No	1.00			1.00
Yes	1.39	1.15 to 1.69	<0.001	1.66	1.26 to 2.19	<0.001
BMI, kg/m²	0.90	0.87 to 0.92	<0.001	0.89	0.87 to 0.92	<0.001
<18.5	1.00			1.00
18.5–23.9	0.84	0.60 to 1.18	<0.001	0.82	0.58 to 1.17	<0.001
23.9–27.9	0.46	0.31 to 0.67	0.006	0.44	0.30 to 0.65	0.005
>28.0	0.34	0.21 to 0.56	<0.001	0.33	0.20 to 0.55	<0.001
Soy food	0.94	0.78 to 1.15	0.528	0.91	0.74 to 1.11	0.349
Q1† (0.5)	1.00			1.00
Q2† (2.8)	0.34	0.14 to 0.87	0.032	0.35	0.14 to 0.90	0.047
Q3† (13.9)	0.95	0.75 to 1.20	0.070	0.96	0.75 to 1.21	0.046
Q4† (55.6)	0.90	0.71 to 1.14	0.159	0.79	0.60 to 1.04	0.535
Total protein	0.66	0.54 to 0.80	<0.001	0.62	0.50 to 0.77	<0.001
Q1† (73.3)	1.00			1.00
Q2† (78.1)	0.72	0.55 to 0.95	0.562	0.70	0.52 to 0.92	0.404
Q3† (81.8)	0.64	0.48 to 0.84	0.380	0.58	0.43 to 0.78	0.226
Q4† (86.8)	0.48	0.37 to 0.64	<0.001	0.43	0.32 to 0.59	<0.001
Albumin	0.72	0.59 to 0.87	<0.001	0.70	0.56 to 0.87	0.001
Q1† (44.4)	1.00			1.00
Q2† (47.6)	0.74	0.57 to 0.98	0.686	0.72	0.54 to 0.96	0.516
Q3† (49.9)	0.62	0.47 to 0.81	0.077	0.58	0.43 to 0.78	0.054
Q4† (52.8)	0.58	0.44 to 0.76	0.012	0.52	0.37 to 0.72	0.004

*Controlling for age, education level, physical activity time, income, monthly expenditure on food and region.
†All the case and control women were combined together and the quartile was used.
BMI, body mass index.