Table 4.
Results of bivariate logistic regression analysis for the odds of agreeing that (1) the poor are less healthy because of their lifestyles (they smoke and drink more, don’t exercise, and eat junk foods), and (2) the poor spend what money they have unwisely because they do not want to feel excluded from the good things in life, among those respondents who recognize oral health disparities as a condition of the poor among those respondents who recognize oral health disparities as a condition of the poor (Agree = 1; Disagree + Neither Agree/Disagree = 0).
Characteristic |
Adjusted Odds Ratioa(n=895) |
||||
---|---|---|---|---|---|
The poor are less healthy because of their lifestyles - they smoke and drink more, don’t exercise and eat junk food |
The poor spend what money they have unwisely because they do not want to feel excluded from the good things in life |
||||
Odds Ratio (95% CI) | P | Odds Ratio (95% CI) | P | ||
Sex | Male | 1.59 [1.21, 2.08] | 0.001 | 1.55 [1.17, 2.05] | 0.002 |
Female | Reference | Reference | |||
Age | 18–34 | 0.46 [0.32, 0.66] | <0.001 | 0.75 [0.52, 1.08] | 0.117 |
35–54 | 0.54 [0.40, 0.74] | <0.001 | 0.57 [0.41, 0.78] | 0.001 | |
55 and over | Reference | Reference | |||
Political voting intention | Progressive Conservative | 1.69 [1.04, 2.82] | 0.034 | 1.82 [1.10, 3.01] | 0.020 |
Liberal Party | 1.24 [0.76, 2.03] | 0.395 | 1.10 [0.66, 1.86] | 0.714 | |
New Democratic Party | Reference | Reference | |||
Education attainment | Post-secondary | 1.22 [0.90, 1.65] | 0.210 | 2.06 [1.51, 2.82] | <0.001 |
High School or less | Reference | Reference | |||
Residence | Urban | 0.73 [0.54, 1.03] | 0.058 | 1.19 [0.87, 1.62] | 0.280 |
Rural | Reference | Reference | |||
Employment status | Employed | 1.49 [0.82, 2.69] | 0.192 | 1.20 [0.65, 2.19] | 0.563 |
Unemployed | Reference | Reference | |||
Annual household income | Less than $20,000 | 0.76 [0.46, 1.27] | 0.292 | 0.39 [0.23, 0.67] | 0.001 |
$20,000–$39,999 | 0.77 [0.49, 1.21] | 0.260 | 0.47 [012, 0.60] | <0.001 | |
$40,000–$59,999 | 0.61 [0.38, 1.06] | 0.132 | 0.50 [0.30, 0.81] | 0.005 | |
$60,000–$79,999 | 0.86 [0.53, 1.38] | 0.518 | 0.54 [0.32, 0.90] | 0.018 | |
$80,000–$99,999 | 0.59 [0.36, 0.97] | 0.036 | 0.61 [0.36, 1.05] | 0.072 | |
More than $100,000 | Reference | Reference |
Model 1: Controlled for the sex and age of respondents.