Table 3.

Logistic regression models to predict NAF secretor status (N=238)

	Models2
Variables1	Model 1	Model 2	Model 3A	Model 3B
Lactose intake	2.3 (1.4, 3.9)	2.6 (1.4, 4.7)	2.7 (1.5, 4.8)	2.6 (1.4, 4.9)
Total caloric intake	NE3	1.2 (0.6, 2.2)	NE	NE
Protein intake	NE	0.9 (0.6, 1.2)	NE	NE
Fat intake	NE	0.9 (0.5, 1.6)	NE	NE
Carbohydrate intake	NE	0.9 (0.7, 1.2)	NE	NE
Age	NE	NE	1.1 (1.0, 1.2)	1.1 (1.0, 1.2)
Ethnicity	NE	NE	0.6 (0.3, 1.3)	0.9 (0.4, 1.8)
Menarche	NE	NE	0.8 (0.7, 1.0)	0.8 (0.6, 1.0)
Parity	NE	NE	2.3 (1.0, 5.6)	NE
Age at first childbirth	NE	NE	NE	1.5 (1.0, 2.1)

¹Lactose, increment of 10 g; total caloric intake, increment of 100 kcal; protein intake, increment of 10 g; fat intake, increment of 10 g; carbohydrate intake, increment of 10 g; age at first childbirth, increment of 5 years; parity, yes vs. no.

²Model 1: the effect of lactose was estimated. Model 2: the effect of lactose was adjusted by other nutrients including intake of total calories, proteins, fats and carbohydrates. Model 3A: the effect of lactose was adjusted for demographic and reproductive variables, including age, ethnicity, age of menarche, and parity.

Model 3B: for parous women only (N=211), the effect of lactose was adjusted by demographical and reproductive variables, including age, ethnicity, age of menarche, and age at first childbirth.

³NE, variable not allowed to enter the model