Table 3.

Regression analysis showing the linear relationship between fruit intake and abdominal adiposity after adjusting for different covariates.

N = 1,707
Exposure variable: fruit intake	Regression coefficient	SE	F	p
Sagittal abdominal diameter (cm)
Model 1	−0.20	0.08	6.4	0.0148
Model 2	−0.21	0.08	7.0	0.0110
Model 3	−0.26	0.10	7.0	0.0112
Waist Circumference (cm)
Model 1	−0.89	0.36	6.2	0.0162
Model 2	−0.91	0.35	6.8	0.0122
Model 3	−1.03	0.40	6.5	0.0143

SE: standard error of the regression coefficient. Fruit intake was expressed as the percent of total energy derived from fruit, not counting fruit juices. For Model 1, the covariates were age, sex, race, year of assessment, and household number. For Model 2, in addition to the Model 1 covariates, adjustments were made for differences in physical activity, recreational computer time, and mean energy intake. For Model 3, in addition to the Model 2 covariates, differences in the intake (grams per 1,000 kcal) of carbohydrate, protein, fat, sugar, saturated fat, and fiber were controlled statistically. Because the fruit intake distribution was skewed, the log10 of fruit intake was used. Table values included person-level weighted adjustments based on the sampling methods of NHANES, so values represented those of the U.S. population of children, 8–11 yr.