Men |
---|
Country of Origin | Model I | Model II | Model III | Model IV | Modul V |
---|
| OR (95% CI) |
P
| OR (95% CI) |
P
| OR (95% CI) |
P
| OR (95% CI) |
P
| OR (95% CI) |
P
|
---|
Men
|
Denmark | 1.00 | | 1.00 | | 1.00 | | 1.00 | | 1.00 | |
Turkey |
3.07 (1.40-6.74)
| .005 |
2.59 (1.15-5.84)
| .021 |
2.61 (1.10-6.17)
| .029 | 1.89 (0.57-6.25) | .295 | 1.65 (0.48-5.72) | .430 |
Turkey Descendants |
2.62 (1.24-5.52)
| .012 | 1.61 (0.63-4.10) | .316 | 1.61 (0.63-4.12) | .319 | 2.14 (0.70-6.51) | .181 | 1.82 (0.58-5.73) | .309 |
Women
|
Denmark | 1.00 | | 1.00 | | 1.00 | | 1.00 | | 1.00 | |
Turkey |
13.62 (6.98-25.60)
| <.000 |
15.57 (7.73-31.37)
| <.000 |
18.87 (8.94-39.83)
| <.000 |
18.78 (7.2-48.91)
| <.000 |
14.00 (5.29-37.06)
| <.000 |
Turkey Descendants |
6.67 (3.33-13.37)
| <.000 |
6.87 (2.83-16.64)
| <.000 |
7.81 (3.14-19.44)
| <.000 |
4.93 (1.67-14.56)
| .004 |
4.08 (1.39-11.96)
| .010 |
- 95% CI indicates 95% confidence interval.
- Statistically significant variables (P <.05) are depicted in bold type.
- Model I: Using binary logistic regression to adjust for country of origin.
- Model II: Using binary logistic regression to adjust for country of origin, age.
- Model III: Using binary logistic regression to adjust for country of origin, age, and marital status.
- Model IV: Using binary logistic regression to adjust for country of origin, age, marital status, education, employment status, and household income.
- Model V: Using binary logistic regression to adjust for country of origin, age, marital status, education, employment status, household income, physical health symptoms, and mental health symptoms.
- All estimates are adjusted for all covariates, even though some of the covariates are statistically non-significant.