Table 6.

Linear regression analysis for BMI (log) in the total sample, men and women.

Dependent Variable: LogBMI	Total Sample adj R2 = 14.7%					Men adj R2 = 3.4 %					Women adj R2 = 14.1%
	B	SE	p	Tolerance	VIF	B	SE	p	Tolerance	VIF	B	SE	p	Tolerance	VIF
(Constant)	1.336	0.036	<0.001			1.359	0.090	<0.001			1.299	0.034	<0.001
Sex (men = 1, women = 0)	−0.014	0.010	0.152	0.816	1.226	NA	NA	NA	NA	NA	NA	NA	0.047	NA	NA
Age (y)	0.003	0.001	0.022	0.933	1.071	0.004	0.004	0.359	0.921	1.086	0.002	0.001	0.288	0.927	1.079
Department (nursing = 1, others = 0)	0.001	0.008	0.925	0.982	1.018	−0.032	0.018	0.081	0.961	1.041	0.010	0.009	0.283	0.978	1.022
Living area (before enrollment) †	−0.011	0.007	0.159	0.973	1.028	−0.012	0.018	0.490	0.903	1.108	−0.009	0.008	<0.001	0.985	1.015
Underreporting (yes = 1)	0.045	0.009	<0.001	0.766	1.306	0.033	0.017	0.064	0.849	1.177	0.052	0.011	0.230	0.916	1.091
UPF (% total energy)	−2.4 × 10−4	2.7 × 10−4	0.381	0.925	1.081	−1.41 × 10−6	0.001	0.998	0.848	1.179	−3.8 × 10−4	3.2 × 10−4	0.171	0.930	1.075

† 1 ≤50,000 habitats, 2 ≥50,000 habitats; B: unstandardized beta coefficient; SE: standard error; VIF: variance inflation factor; NA: not applicable.