Postpartum practices of puerperal women and their influencing factors in three regions of Hubei, China

BMC Public Health

Table 3 Factors influencing milk, fruits and vegetables intake

Response variables	Independent variables*	Estimate	Standard error	P value	Standardized Estimate	OR	95%CI
Milk intake	Location – rural	1.342	0.225	< 0.001	0.358	3.83	2.46~5.95
	Location – urban	-1.052	0.143	< 0.001	-0.270	0.35	0.26~0.46
	Woman's education level	-0.416	0.069	< 0.001	-0.255	0.66	0.58~0.76
	Family income	-0.303	0.072	< 0.001	-0.148	0.74	0.64~0.85
	Attending nutrition education courses	-0.467	0.155	0.003	-0.115	0.63	0.46~0.85
Fruit intake	Attending nutrition education courses	-0.781	0.161	< 0.001	-0.192	0.46	0.33~0.63
	Knowledge that fruits intake is allowed when 'sitting month'	-0.685	0.134	< 0.001	-0.188	0.50	0.39~0.66
	Location – rural	0.601	0.182	0.001	0.161	1.82	1.28~2.61
	Location – urban	-0.551	0.151	< 0.001	-0.143	0.58	0.43~0.78
	Family income	-0.237	0.072	0.001	-0.116	0.79	0.69~0.91
	Belief that fruit are cold in nature	0.368	0.127	0.004	0.101	1.45	1.13~1.85
	Woman's education level	-0.141	0.067	0.035	-0.087	0.87	0.76~0.99
Vegetable intake	Location – rural	-1.646	0.101	< 0.001	-0.443	0.19	0.16~0.24
	Knowledge that vegetable intake is allowed when 'sitting month'	-0.520	0.086	< 0.001	-0.143	0.59	0.50~0.70
	Diet arranged by mother or mother-in-law	0.313	0.093	0.001	0.077	1.37	1.14~1.64
	Husband's education level	-0.095	0.046	0.037	-0.054	0.91	0.83~0.99

*The independent variables above were selected by stepwise regression to enter into the final models. All potential independent variables were listed in the statistical analysis section.

ISSN: 1471-2458