Table 2

Multiple regression analysis of factors influencing food consumption types in puerperal women (n=323）

Dependent variable	Influencing factor	Partial regression coefficient	SE	P value	OR	95% CI
Vegetables and fruits
Persimmon	Monthly household income level: 8000–10 000 Yuan	−0.940	0.386	0.015	0.391	0.183 to 0.834
	Home	1.629	0.810	0.044	5.099	1.042 to 24.949
	Husband	1.481	0.432	0.001	4.395	1.886 to 10.242
Watermelon	Monthly household income level: 8000–10 000 Yuan	−0.776	0.310	0.012	0.460	0.251 to 0.844
Watermelon	Husband	0.804	0.353	0.023	2.235	1.119 to 4.463
Longan	Monthly household income level: 4000–5999 Yuan	0.911	0.396	0.022	2.487	1.144 to 5.408
Longan	Husband	0.960	0.332	0.004	2.612	1.362 to 5.010
Amaranth	Monthly household income level: 4000–5999 Yuan	1.469	0.436	0.001	4.343	1.849 to 10.198
Condiments
Brown sugar	Village	1.183	0.562	0.035	3.264	1.085 to 9.823
	Urban-rural fringe	1.674	0.500	0.001	5.333	2.001 to 14.218