Effects of maternal education on diet, anemia, and iron deficiency in Korean school-aged children

Table 4 Logistic regression analyses predicting odds ratios of anemia and iron deficiency

Variables	Logistic regression predicting	anemia and iron deficiency^a
	Unadjusted^bOR^c(95% CI^d)	Adjusted^eOR (95% CI)
Maternal education^f	0.48 (0.30-0.78)**	0.52 (0.32-0.85)**
Overweight ^g	1.73 (1.02-2.96)*
Dietary fiber	1.02 (0.99-1.06)
Dietary animal protein	1.00 (0.98-1.02)
Dietary animal iron	1.05 (0.89-1.23)
Dietary vitamin C	1.01 (1.00-1.01)*
Dietary folate	1.00 (1.00-1.01)
Dietary zinc	0.99 (0.92-1.07)
Dietary fat	1.00 (0.99-1.02)

^a Logistic regression was used to predict yes or no answers to a question about whether a subject had anemia or iron deficiency
^b Unadjusted analysis refers to a simple logistic regression with the dependent variable
^c OR odds ratio
^d CI confidence interval
^e Adjusted analysis refers to the covariates that were best able to predict poor health, anemia, and iron deficiency using stepwise regression techniques in a multivariable model
^f Maternal education (1, low; 2, high)
^g Overweight (1, BMI < 85th percentile; 2, BMI ≥ 85th percentile)
*P < 0.05, ** P < 0.01