Table 4. Daily total caloric intake was predicted by protein, carbohydrate, and fat intake from the subsequent day (multilevel lag model).

The daily total macronutrient intake was calculated and lagged such that the macronutrients were predictors for next day total kilocalorie intake. Results from the multilevel model find that increased protein, carbohydrate, and fat intake from the day prior predicted increased daily total kilocalorie from the following day.

		Daily Total KCAL
	B	SE	95% CI	p
Age	−3.06	3.36	−9.68, 3.56	0.36
Male	−47.85	131.90	−307.49, 211.80	0.72
Female	Ref
Black	-322.69	124.69	−568.15, −77.22	0.0102
Caucasian	−105.79	94.30	−291.42, 79.85	0.26
Hispanic	−158.80	158.67	−471.15, 153.54	0.32
Other	−62.25	116.32	−291.22, 66.72	0.59
American Indian	Ref
Fat Free Mass Index	62.30	21.69	19.60, 104.99	0.0044
Fat Mass Index	−11.35	10.30	−31.62, 8.91	0.27
Total Protein Lag (g)	4.31	1.48	1.40, 7.22	0.0039
Total Carbohydrates Lag (g)	3.24	0.38	2.49, 3.99	<.0001
Total Fat Lag (g)	5.46	0.99	3.51, 7.41	<.0001

Bolded coefficients are statistically significant (p <.05)