Table 4.
Linear and logistic regressions betweenn geographic region and eating disorder symptomology
| EDE-Q Global Score | EDE-Q Clinical Risk (EDE-Q > 2.48) | ||||
|---|---|---|---|---|---|
| B (95% CI) | p | R2 | OR (95% CI) | p | |
| Geographic Region | 0.175 | ||||
| Intercept | 1.34 (0.21, 2.47) | 0.021 | 0.23 (0.04, 1.46) | 0.121 | |
| Ref: Highest Urban | |||||
| Mainly rural | 0.52 (0.20, 0.84) | 0.001 | 1.81 (1.09, 3.01) | 0.021 | |
| Mainly Urban | -0.02 (-0.21, 0.17) | 0.843 | 0.96 (0.71, 1.30) | 0.795 | |
| Sparsely urban-rural Mix | 0.07 (-0.21, 0.34) | 0.629 | 0.99 (0.64, 1.55) | 0.992 | |
| Public Health Unit | 0.177 | ||||
| Intercept | 0.96 (-0.19,2.10) | 0.102 | 0.12 (0.02, 0.82) | 0.030 | |
| Ref: Toronto | |||||
| Central | 0.46 (0.22, 0.70) | < 0.001 | 2.06 (1.40, 3.06) | < 0.001 | |
| East | 0.27 (0.04, 0.51) | 0.024 | 1.39 (0.95, 2.05) | 0.091 | |
| North | 0.21 (-0.24,0.68) | 0.362 | 0.94 (0.42, 2.01) | 0.874 | |
| West | 0.20 (-0.04, 0.45) | 0.100 | 1.34 (0.91, 2.00) | 0.142 | |
Note Each column represented the abbreviated outputs of 2 regression models with geographic region and Public Health as the independent variables and EDE-Q global score and EDE-Q Clinical Risk as the dependent variables
Values in bold are significant with p < 0.05
a Analyses adjusted for age, race/ethnicity, gender, sexual identity, income, and highest level of education completed
EDE-Q = Eating Disorder Examination Questionnaire; B = Coefficient from linear regression; OR = Odds Ratio from logistic regression; CI = Confidence interval