Table 3.
Simple and multiple regression models of regular breakfast consumption and intake of foods high in saturated fat.
| Simple regression | Multiple regressiona | |||||
|---|---|---|---|---|---|---|
| Regular breakfast consumption | ||||||
| Academic Field | PR | 95% CI | p | PR | 95% CI | p |
| Medical | Ref | Ref | ||||
| Non-medical | 0.93 | 0.87–0.99 | 0.010 | 0.92 | 0.86–0.99 | 0.008 |
| Score of intake of foods high in saturated fat | ||||||
| Academic Field | B | 95% CI | p | B | 95% CI | p |
| Medical | Ref | Ref | ||||
| Non-medical | 1.62 | 1.05–2.18 | < 0.001 | 1.47 | 0.91–2.04 | < 0.001 |
| BMI | ||||||
| Academic Field | B | 95% CI | p | B | 95% CI | p |
| Medical | Ref | Ref | ||||
| Non-medical | 0.35 | 0.15–0.56 | 0.001 | 0.33 | 0.12–0.53 | 0.002 |
Linear regression was used for the intake of foods high in saturated fat score, and Poisson regression with robust variance was used for the regular breakfast consumption variable.
PR: Prevalence Ratios; B: Regression coefficient; BMI: body mass index.
aAdjusted for age, sex, and parental education.