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Table 6 Results of Logistic Regression Analyses Alternative Health Care Consultations: All Consultations Age 18 or over, Ontario, 2005a

From: Alternative health care consultations in Ontario, Canada: A geographic and socio-demographic analysis

  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
  1. 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.