Table 4. Multiple linear regression analysis for associations between selected dietary factors and bone mineral density (mmAl, n=143).

Dietary factor (intake per day)	Model 1			Model 2			Model 3
	β a	SE	p	β b	SE	p	β c	SE	p
Fat (g)	0.133	0.077	0.088	-0.021	0.091	0.815	-0.009	0.091	0.924
Calcium (mg)	0.126	0.036	0.001
Potassium (mg)	0.213	0.074	0.005	-0.010	0.134	0.941	-0.036	0.135	0.789
Vitamin C (mg)	0.039	0.029	0.171	-0.007	0.031	0.831	-0.015	0.031	0.641
SFA (g)	0.165	0.063	0.010	-0.019	0.100	0.854	0.011	0.101	0.911
Magnesium (mg)	0.336	0.162	0.039	-0.001	0.199	0.995	-0.004	0.198	0.986
Breads (g)	0.025	0.013	0.069	0.013	0.014	0.336	0.011	0.014	0.421
Noodles (g)	-0.031	0.018	0.085	-0.027	0.018	0.133	-0.026	0.017	0.145
Milk and dairy products (g)	0.039	0.014	0.007	-0.030	0.032	0.358	-0.027	0.032	0.405
Fruits (g)	0.023	0.011	0.038	0.008	0.012	0.507	0.006	0.012	0.617
Milk consumption at junior high school (glasses)d	0.046	0.013	0.001	0.034	0.014	0.014	0.035	0.014	0.011
Milk consumption at senior high school (glasses)	0.034	0.013	0.009	0.021	0.013	0.117	0.021	0.013	0.118

β: regression coefficient, SE: standard error, SFA: saturated fatty acids.

Intakes of nutrients and food groups were adjusted for energy intake. Energy and nutrient intakes and food group consumption were nat ural-log transfomed to improve their normality before the analyses.

^a Adjusted for log_e (BMI) and time of survey (January or December 2000).

^b Adjusted for log_e (BMI), energy-adjusted calcium intake, and time of survey.

^c Adjusted for log_e (BMI), energy-adjusted calcium intake, log_e (daily walking time), and time of survey.

^d Excluding milk provided at school lunch.