Table 4 Logistic Regression Models for Regular Smoking, Alcohol Consumption and Physical Activity
From: Determinants of a healthy lifestyle and use of preventive screening in Canada
Regular Smoker, N = 10,664 Cox & Snell r2 = 0.056 Hosmer & Lemeshow Χ2 = 12.6, p = 0.13 | Odds Ratio (95% CI) | p-value |
|---|---|---|
Total household income (reference = < $19,999) | ||
$20–39,999 | 1.40 (1.14, 1.72) | 0.002 |
$40–59,999 | 1.32 (1.09, 1.61) | 0.005 |
$60–79,999 | 1.07 (0.88, 1.31) | 0.496 |
$80,000+ | 0.96 (0.77, 1.18) | 0.682 |
Missing | 0.62 (0.50, 0.77) | <0.001 |
Education level (reference < secondary school) | ||
Secondary school graduate | 2.59 (2.29, 2.92) | <0.001 |
Other post-secondary | 1.71 (1.51, 1.94) | <0.001 |
College/University degree(s) | 1.45 (1.31, 1.61) | <0.001 |
Age (5-year increments) | 0.97 (0.95, 0.98) | <0.001 |
Sex (1 = male, 2 = female) | 0.93 (0.85, 1.01) | 0.075 |
Marital status (1 = with partner, 2 = no partner) | 1.16 (1.06, 1.28) | 0.001 |
Rural/Urban (1 = rural, 2 = urban) | 0.93 (0.84, 1.02) | 0.130 |
Regular medical doctor (1 = yes, 2 = no) | 1.25 (1.12, 1.40) | <0.001 |
Body mass index (numeric) | 0.98 (0.97, 0.99) | <0.001 |
Alcohol Consumption > 12/wk, N = 10,677 Cox & Snell r 2 = 0.026 Hosmer & Lemeshow Χ 2 = 10.3, p = 0.25 | Odds Ratio (95% CI) | p-value |
Total household income (reference = < $19,999) | ||
$20–39,999 | 2.98 (1.46, 6.04) | 0.003 |
$40–59,999 | 1.87 (0.93, 3.76) | 0.081 |
$60–79,999 | 1.27 (0.61, 2.62) | 0.520 |
$80,000+ | 1.15 (0.53, 2.47) | 0.723 |
Missing | 1.30 (0.61, 2.79) | 0.498 |
Education level (reference < secondary school) | ||
Secondary school graduate | 2.08 (1.47, 2.93) | <0.001 |
Other post-secondary | 1.15 (0.74, 1.79) | 0.527 |
College/University degree(s) | 1.74 (1.24, 2.43) | 0.001 |
Age (5-year increments) | 1.23 (1.16, 1.30) | <0.001 |
Sex (1 = male, 2 = female) | 0.22 (0.16, 0.29) | <0.001 |
Marital status (1 = with partner, 2 = no partner) | 1.10 (0.83, 1.45) | 0.508 |
Rural/Urban (1 = rural, 2 = urban) | 0.95 (0.72, 1.25) | 0.692 |
Regular medical doctor (1 = yes, 2 = no) | 0.81 (0.56, 1.16) | 0.245 |
Body mass index (numeric) | 1.03 (1.00, 1.06) | 0.033 |
Regular Physical Activity, N = 10,537 Cox & Snell r 2 = 0.023 Hosmer & Lemeshow Χ 2 = 2.8, p = 0.94 | Odds Ratio (95% CI) | p-value |
Total household income (reference = < $19,999) | ||
$20–39,999 | 0.86 (0.70, 1.05) | 0.145 |
$40–59,999 | 0.98 (0.81, 1.18) | 0.806 |
$60–79,999 | 1.08 (0.89, 1.31) | 0.446 |
$80,000+ | 1.33 (1.08, 1.62) | 0.007 |
Missing | 1.65 (1.34, 2.04) | <0.001 |
Education level (reference < secondary school) | ||
Secondary school graduate | 0.69 (0.62, 0.78) | <0.001 |
Other post-secondary | 0.81 (0.71, 0.91) | <0.001 |
College/University degree(s) | 0.90 (0.81, 0.99) | 0.001 |
Age (5-year increments) | 0.99 (0.97, 1.01) | 0.104 |
Sex (1 = male, 2 = female) | 1.09 (1.01, 1.18) | 0.038 |
Marital status (1 = with partner, 2 = no partner) | 1.17 (1.07, 1.28) | 0.001 |
Rural/Urban (1 = rural, 2 = urban) | 1.10 (1.00, 1.21) | 0.047 |
Regular medical doctor (1 = yes, 2 = no) | 0.92 (0.82, 1.03) | 0.141 |
Body mass index (numeric) | 0.98 (0.97, 0.99) | <0.001 |