Table 2.

Factor loadings for the dietary patterns identified at Time 1 and Time 2 of adolescent females nine to 14 years on O‘ahu, Hawai‘i participating in the Female Adolescent Maturation Study (n=148)

Food group (unit)	Dietary pattern†
	Time 1			Time 2
	T1-P1	T1-P2	T1-P3	T2-P1	T2-P2	T2-P3
Whole grains	0.51	--	--	--	--	0.46
Non-whole grains	--	0.41	--	0.48	0.27	--
Dark green leafy vegetables	--	--	--	--	0.38	0.23
Deep yellow vegetables	--	--	0.40	--	0.40	0.31
White potatoes	--	0.21	--	0.29	--	--
Other starchy vegetables	--	--	−0.58‡	--	0.26	--
Tomatoes	--	0.44	--	--	--	0.56
Other vegetables	0.25	0.25	0.28	--	0.44	0.40
Citrus fruits, melons, and berries	0.39	−0.21	--	--	--	--
Other fruits	0.39	−0.25	0.32	--	--	--
Milk	0.29	--	--	--	--	--
Yogurt	−0.35‡	--	--	--	0.26‡	--
Cheese	0.32	0.36	−0.30	0.27	−0.42	--
Meat (beef, pork, veal, lamb, game)	−0.23	0.26	0.31	0.44	--	--
Frankfurters, sausage, lunch meats	--	0.31	--	--	--	--
Poultry (chicken, turkey, other)	--	--	0.28	0.29	0.20	−0.27
Fish (fish, shellfish, other)	--	0.28	--	--	0.56	--
Eggs	--	0.30	--	--	0.46	--
Cooked dry beans and peas	--	--	−0.51‡	--	--	−0.23‡
Soybean products	−0.29‡	--	--	--	--	−0.22‡
Nuts and seeds	0.47	--	--	--	--	--
Discretionary fat	0.36	0.66	--	0.82	--	--
Added sugars	0.49	--	--	0.40	--	--

^†Factor loadings <0.20 were omitted for ease of interpretation. A variable with negative factor loading score has the characteristic opposite to the factor indicating people who score high on the factor would tend to eat less the food variable (i.e., negative correlation).

^‡Food group that transformed using negative power function (e.g. y=x^−0.25)(i.e., negative factor score indicates positive correlation).