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. 2022 Dec 23;7(2):100003. doi: 10.1016/j.cdnut.2022.100003

TABLE 3.

Skipping breakfast and its association with the day’s HEI-2015 scores (N = 512)

Model 2
Variable1 Unadjusted β (95% CI)2 R2: 0.16
Adjusted R2: 0.14
Adjusted β (95% CI)3 P value4
Constant 28.3
Previous day breakfast status
Previous day consumer Reference --
Previous day skipper -5.6 (-9.4, -1.7) -4.4 (-8.4, -0.4) 0.035
Habitual breakfast skipper status
Consumer Reference --
Skipper -3.1 (-6.3, 0.1) -0.5 (-3.8, 2.7) 0.74
Sex
Female Reference --
Male -3.5 (-6.1, -0.9) -2.9 (-5.5, -0.4) 0.015
Age -0.1 (-1.1, 1.0) -0.5 (-1.5, 0.5) 0.36
Ethnicity
Non-White Reference
White 0.1 (-2.7, 2.9) -1.6 (-4.4, 1.2) 0.27
Importance of eating healthy rating 5.5 (3.5, 7.4) 4.0 (2.0, 6.0) <0.015
Physical health rating 1.8 (0.5, 3.1) 1.5 (-0.1, 3.0) 0.05
Mental health rating 0.0 (-1.1, 1.2) -0.3 (-1.6, 0.9) 0.60
Usual number of days physically active 0.1 (-0.5, 0.8) -0.7 (-1.4, 0.1) 0.09
Nutritional knowledge score 0.3 (0.1, 0.5) 0.2 (0.1, 0.4) 0.015
Vegetarian status
Nonvegetarian Reference --
Vegetarian 10.6 (5.0, 16.1) 9.8 (4.5, 15.1) <0.015
Parental highest education 2.9 (1.7, 4.2) 2.3 (1.0, 3.6) <0.015
Neighborhood income (per $10,000) 0.8 (0.4, 1.3) 0.5 (0.1, 1.0) 0.035

Model was adjusted for previous day breakfast skipper status (yes/no), habitual skipper status (skipped for ≥4 d in previous week), sex (male/female), age (continuous), ethnicity (White/non-White), importance of healthy eating rating (continuous), physical health rating (continuous), mental health rating (continuous), usual number of days physically active (continuous), nutritional knowledge score (continuous), vegetarian status (yes/no), parental highest education (continuous), and neighborhood income (per $10,000; continuous).

1

Variable used in analysis of the multivariable linear regression.

2

Beta-coefficient value for unadjusted linear regression with HEI-2015 score as the outcome.

3

Beta-coefficient value for multivariable linear regression with HEI-2015 score as the outcome.

4

P value for the adjusted regression analysis for each variable.

5

P < 0.05