Table 2.
Multivariable Models for the Determinants of ad Libitum Food Intake
| Predictors | Total Food Intake, kcal/d | Total Food Intake, % WMEN | Carbohydrate Intake, g/d | Fat Intake, g/d | Protein Intake, g/d |
|---|---|---|---|---|---|
| Age, y | −21.0 ± 11.6 (P = .073) |
−0.6 ± 0.5 (P = .195) |
−1.7 ± 1.6 (P = .292) |
−1.5 ± 0.6 (P = .015)a |
−1.0 ± 0.4 (P = .031)a |
| Gender (female) | 949.1 ± 505.2 (P = .064) |
44.6 ± 19 (P = .021)a |
69.4 ± 68.8 (P = .316) |
61.9 ± 26.4 (P = .021)a |
55.0 ± 19.0 (P = .005)a |
| Ethnicity (Native American) | 27.0 ± 212.6 (P = .899) |
2.6 ± 8.2 (P = .752) |
8.7 ± 29.0 (P = .765) |
8.6 ± 11.1 (P = .439) |
−42.9 ± 8.0 (P < .001)a |
| FM, kg | −71.0 ± 20.1 (P = .001)a |
−2.9 ± 0.8 (P < .001)a |
−8.2 ± 2.7 (P = .004)a |
−3.5 ± 1.1 (P = .001)a |
−2.6 ± 0.8 (P = .001)a |
| FFM, kg | 10.6 ± 23.2 (P = .649) |
−0.1 ± 0.9 (P = .926) |
2.4 ± 3.2 (P = .454) |
0.1 ± 1.2 (P = .924) |
−0.8 ± 0.9 (P = .379) |
| 24-h energy balance, kcal | 1.01 ± 1.27 (P = .426) |
0.03 ± 0.05 (P = .470) |
−0.02 ± 0.17 (P = .894) |
0.10 ± 0.07 (P = .133) |
0.11 ± 0.05 (P = .023)a |
| SPA, % | 30.7 ± 35.4 (P = .389) |
1.0 ± 1.3 (P = .460) |
−0.7 ± 4.8 (P = .892) |
3.3 ± 1.9 (P = .076) |
0.4 ± 1.3 (P = .783) |
| 24-h EE, 100 kcal/d |
316.7 ± 123.5 (P = .012)a |
10.5 ± 4.6 (P = .026)a |
27.2 ± 16.8 (P = .110) |
18.9 ± 6.5 (P = .004)a |
17.0 ± 4.6 (P < .001)a |
| 24-h RQ, % |
183.7 ± 44.3 (P < 0.001)a |
6.7 ± 1.7 (P < 0.001)a |
19.1 ± 6.1 (P = 0.002)a |
8.9 ± 2.3 (P < 0.001)a |
7.4 ± 1.7 (P < 0.001)a |
| Intercept | −16 076 ± 3989 | −525 ± 150 | −1513 ± 543 | −838 ± 209 | −693 ± 150 |
| Total R2 | 54%a | 42%a | 48%a | 52%a | 54%a |
β-Coefficients in each cell are reported as mean ± SE. β-Coefficients for 24-hour EE and 24-hour RQ are expressed per 100-kcal increase and per 0.01-unit increase, respectively. Bold indicates P < .05.
a
P < .05.