Logistic Regression | G-computation | Propensity scores, inverse probability weighting | ||
---|---|---|---|---|
Odds ratio | Confidence interval | Risk difference | Risk difference | |
Education levela | ||||
Secondary education (n = 255) | 1.45 | 0.60–3.32 | 0.074* | 0.052 |
Upper secondary education (n = 112) | 5.99 | 2.03–19.3b | 0.345*b | 0.372*b |
University (n = 253) | 1.22 | 0.59–2.49 | 0.039* | 0.013b |
Marital status | ||||
Married (n = 468) | 1.58 | 0.90–2.74 | 0.069 | 0.072 |
Single (n = 152) | 2.46 | 0.98–6.34 | 0.194* | 0.211*b |
Self-rated health 1995 | ||||
Poor (n = 125) | 1.75 | 0.65–5.11 | 0.109* | 0.169b |
Good (n = 495) | 1.77 | 1.02–3.01 | 0.116* | 0.089 |
Occupation | ||||
Blue-collar workers (n = 246) | 1.56 | 0.74–3.25 | 0.087* | 0.099 |
Low white-collar workers (n = 103) | 1.51 | 0.49–4.54b | 0.083*b | 0.058b |
Medium–high white-collar workers (n = 271) | 2.29 | 1.04–4.96 | 0.169* | 0.119 |
Gender | ||||
Man (n = 338) | 1.35 | 0.68–2.64 | 0.060* | 0.056 |
Woman (n = 282) | 2.29 | 1.15–4.55 | 0.168* | 0.155* |