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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.