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. 2025 Jun 4;12:1592654. doi: 10.3389/fnut.2025.1592654

Table 6.

Mean differences in dietary and other variables across the fruit intake categories.

Outcome variable Fruit Intake (percent of energy intake from fruit)
None (n = 456) Low (n = 623) Moderate/High (n = 628)
Mean ± SE Mean ± SE Mean ± SE F p
Diet
Fat intake (g/1000 kcal) 38.7a 0.44 37.9a 0.28 36.0b 0.32 19.6 <0.0001
Saturated fat (g/1000 kcal) 13.4a 0.22 13.4a 0.19 12.6b 0.22 8.2 0.0009
Protein intake (g/1000 kcal) 36.6 0.57 37.1 0.55 37.0 0.44 0.3 0.7331
Carb. intake (g/1000 kcal) 128.5a 1.04 130.1a 0.89 135.9b 0.75 27.3 <0.0001
Sugar intake (g/1000 kcal) 56.3a 1.04 56.9a 0.79 63.0b 0.79 18.6 <0.0001
Fiber intake (g/1000 kcal) 6.7a 0.14 7.7b 0.12 9.1c 0.17 62.8 <0.0001
Other variables
Age (years) 9.5 0.06 9.5 0.07 9.5 0.07 0.1 0.9454
Computer use (hrs per day) 1.4 0.09 1.2 0.09 1.2 0.07 0.7 0.5085
Physical activity (days/wk) 5.6 0.15 5.8 0.11 5.5 0.10 1.7 0.1928
Household size 4.9 0.09 4.9 0.07 4.7 0.07 1.8 0.1710

Carb., carbohydrate. There were 47 degrees of freedom in the denominator of each model. Fruit intake was indexed as the percentage of total energy derived from all fruits consumed, not including fruit juices. Means on the same row with the same superscript letter were not significantly different. For each relationship, statistical adjustments were made for differences in the demographic covariates: age, sex, race, family size, and year of assessment, except when the covariate was studied as the outcome variable (age and household size). For example, when age was the outcome variable, age was not used as a covariate.