Appendix Table 1.
sensitivity analysis*. Age- and multivariable-adjusted† OR's (95% CI) for RLS according to vascular risk factors (n=28,015)
| No RLS | RLS | Age-adjusted | Multivariable- adjusted |
|
|---|---|---|---|---|
| 24,732 | 3,283 | OR (95% CI) | OR (95% CI) | |
| History of hypertension | 11,569 | 1,652 | 1.16 (1.08, 1.25) | 1.04 (0.96, 1.13) |
| History of diabetes | 1,610 | 268 | 1.28 (1.12, 1.46) | 1.13 (0.98, 1.30) |
| History of cholesterol ≥ 240mg/dl | 13,106 | 1,908 | 1.24 (1.15, 1.33) | 1.17 (1.08, 1.26) |
| BMI categories | ||||
| <23 | 5,864 | 679 | 1.00 | 1.00 |
| 23–24.9 | 4,524 | 559 | 1.07 (0.95, 1.20) | 1.04 (0.93, 1.18) |
| 25–29.9 | 8,480 | 1,148 | 1.17 (1.06, 1.29) | 1.12 (1.01, 1.24) |
| 30–34.9 | 3,856 | 558 | 1.25 (1.11, 1.41) | 1.16 (1.02, 1.32) |
| ≥35 | 2,008 | 339 | 1.46 (1.27, 1.69) | 1.34 (1.15, 1.56) |
| Smoking Status | ||||
| Never | 12,901 | 1,550 | 1.00 | 1.00 |
| Past | 9,868 | 1,441 | 1.22 (1.13, 1.31) | 1.22 (1.13, 1.32) |
| Current < 15 cigarettes/day | 985 | 139 | 1.17 (0.98, 1.41) | 1.21 (1.00, 1.46) |
| Current ≥ 15 cigarettes/day | 978 | 153 | 1.30 (1.09, 1.56) | 1.31 (1.09, 1.57) |
| Alcohol consumption | ||||
| Rarely/never | 10,397 | 1,449 | 1.00 | 1.00 |
| 1–3 drinks per month | 2,883 | 384 | 0.96 (0.85, 1.08) | 0.96 (0.85, 1.08) |
| 1–6 drinks per week | 8,553 | 1,087 | 0.91 (0.84, 0.99) | 0.92 (0.84, 1.00) |
| ≥1 drink/day | 2,899 | 363 | 0.90 (0.80, 1.02) | 0.90 (0.80, 1.03) |
| Exercise | ||||
| Rarely/never | 9,258 | 1,285 | 1.00 | 1.00 |
| <1/week | 4,894 | 673 | 0.99 (0.90, 1.09) | 1.01 (0.91, 1.12) |
| 1–3 times/week | 7,797 | 1,017 | 0.94 (0.86, 1.03) | 0.98 (0.90, 1.07) |
| ≥ 4 times/week | 2,783 | 308 | 0.80 (0.70, 0.91) | 0.85 (0.74, 0.97) |
| Parental history of myocardial infarction |
4,207 | 625 | 1.15 (1.05, 1.26) | 1.11 (1.01, 1.22) |
2,247 women with a history of polyneuropathy, kidney disease/kidney failure, liver disease, rheumatoid arthritis, intermittent claudication or who underwent peripheral artery disease surgery were excluded.
Multivariable models include all vascular risk factors and were adjusted for age, randomized aspirin assignment, postmenopausal status, postmenopausal hormone use, oral contraceptive use.