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. 2011 Jun 22;11:47. doi: 10.1186/1472-6882-11-47

Table 6.

Results of Logistic Regression Analyses Alternative Health Care Consultations: All Consultations Age 18 or over, Ontario, 2005a

Model 1 All Alt. Care Consultations (consultations = 1 no alt. care consultations = 0)
Independent Variables Odds ratios
Sex
 Male Reference
 Female 2.03*** (1.90-2.18)
Age
 Age 20-34 2.33*** (1.99-2.73)
 Age 35-49 2.60*** (2.25-3.01)
 Age 50-64 1.89*** (1.63-2.20)
 Age 65 and over Reference
Marital status
 Single Reference
 Married/common Law 1.03 (0.94-1.13)
 Separated/divorced/widowed 1.22** (1.06-1.40)
Education
 Less than high school Reference
 High school 1.49*** (1.26-1.76)
 College or trades 2.38*** (2.05-2.76)
 University 3.48*** (2.99-4.06)
Household income
 Under $20,000 Reference
 $20,000 to $49,999 1.23** (1.04-1.46)
 $50,000 to $79,999 1.82*** (1.53-2.15)
 $80,000 and over 2.30*** (1.95-2.72)
Chronic condition
 Yes 1.90*** (1.74-2.07)
 No Reference
Self-perceived health
 Excellent/very good Reference
 Good 0.06 (0.98-1.15)
 Fair/poor 1.27*** (1.13-1.43)
Self-perceived unmet health care needs
 Yes 1.72*** (1.58-1.88)
 No Reference
Rural residence
 Urban Reference
 Rural 1.06 (0.95-1.18)
Place of residence
 CMA/CA Reference
 Strongly Influenced 1.07 (0.91-1.25)
 Moderately Influenced 1.05 (0.87-1.27)
 Weakly/Not Influenced 1.03 (0.82-1.29)
Constant 0.006
Observations 32,598
Pseudo R2 0.119

a Notes: The dependent variable is consulting an alternative health care provider. The model used for estimation is logistic regression. 95% confidence intervals in parentheses (*) significant at 10%, (**) significant at 5%, (***) significant at 1%. Reference categories are included in the table.