Table 5. Regressions of negative affect on each energy-adjusted food intakes for full sample (N=9255), females (n=6234), and males (n=3021).

	Full sample				Female				Male
	95% C.I.				95% C.I.				95% C.I.
	Beta	Lower	Upper	P	Beta	Lower	Upper	P	Beta	Lower	Upper	P
Mediterranean
Fresh vegetables	−0.076	−0.099	−0.052	<.001	−0.091	−0.121	−0.061	<.001	−0.046	−0.082	−0.010	.013
Fresh fruits	−0.033	−0.053	−0.014	.001	−0.040	−0.065	−0.015	.002	−0.021	−0.051	0.009	.167
Dairy	0.007	−0.007	0.021	.323	0.016	−0.002	0.034	.085	−0.011	−0.032	0.010	.323
Olive oil	−0.043	−0.084	−0.002	.040	−0.070	−0.122	−0.018	.008	0.017	−0.047	0.082	.594
Nuts	−0.088	−0.116	−0.060	<.001	−0.101	−0.138	−0.065	<.001	−0.060	−0.102	−0.017	.006
Fish	0.016	−0.015	0.048	.301	0.029	−0.011	0.068	.152	−0.019	−0.065	0.027	.413
Legumes	−0.028	−0.051	−0.005	.017	−0.033	−0.062	−0.004	.026	−0.015	−0.051	0.020	.391
Western
Red meata	0.036	0.000	0.072	.051	0.085	0.038	0.133	<.001	−0.026	−0.078	0.026	.325
Processed meats	0.112	0.007	0.217	.037	0.197	0.049	0.345	.009	0.032	−0.111	0.174	.665
Sweets/desserts	0.058	0.037	0.078	<.001	0.073	0.046	0.100	<.001	0.032	0.002	0.062	.035
Soda	0.015	0.003	0.027	.013	0.026	0.010	0.041	.001	0.001	−0.017	0.019	.920
Fast food frequencya	0.052	0.036	0.068	<001	0.079	0.058	0.100	<.001	0.007	−0.016	0.031	.556

Standardized betas were controlled for age, gender (full sample), ethnicity, BMI, education, frequency of physical vigorous activity, sleep hours, sleep hours squared, time, total energy intake and alcohol.

^aSignificant effects for gender were seen with dietary variable and negative affect.