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. 2015 Aug 12;4(8):e002099. doi: 10.1161/JAHA.115.002099

Table 3.

Race/Ethnicity and Sex as Predictors of Stroke Symptoms

Stroke Symptom Race/Sex Category With Stroke Symptom (%) Adjusted OR (95% CI)
Weakness/paresis Men 68 1.10 (1.06 to 1.15)
Women 67 Reference
Black 70 1.16 (1.14 to 1.19)
Hispanic 69 1.09 (1.06 to 1.12)
Asian 69 1.23 (1.17 to 1.29)
Other 69 1.16 (1.02 to 1.33)
White 66 Reference
Altered level of consciousness Male/black 21 1.17 (1.13 to 1.20)
Male/Hispanic 22 1.11 (1.06 to 1.16)
Male/Asian 24 1.07 (1.00 to 1.13)
Male/other 25 1.17 (1.00 to 1.37)
Male/white 20 Reference
Female/black 22 1.02 (0.99 to 1.05)
Female/Hispanic 26 0.99 (0.95 to 1.04)
Female/Asian 29 1.04 (0.97 to 1.11)
Female/other 29 1.18 (1.03 to 1.35)
Female/white 25 Reference
Aphasia Male/black 41 1.07 (1.04 to 1.10)
Male/Hispanic 39 0.95 (0.92 to 0.99)
Male/Asian 39 0.97 (0.92 to 1.03)
Male/other 43 1.07 (0.94 to 1.21)
Male/white 41 Reference
Female/black 41 1.00 (0.97 to 1.03)
Female/Hispanic 40 0.90 (0.87 to 0.94)
Female/Asian 39 0.91 (0.85 to 0.96)
Female/other 40 0.93 (0.82 to 1.06)
Female/white 43 Reference
Other neurological symptoms Men 33 0.95 (0.91 to 0.99)
Women 32 Reference
Black 34 0.95 (0.93 to 0.97)
Hispanic 34 1.08 (1.05 to 1.11)
Asian 35 1.05 (1.01 to 1.09)
Other 35 1.00 (0.91 to 1.09)
White 32 Reference

OR indicates odds ratio.

Multivariable models were adjusted for: age, insurance, medical history (atrial fibrillation/flutter, prior stroke or transient ischemic attack, coronary artery disease or prior myocardial infarction, carotid stenosis, diabetes, peripheral vascular disease, hypertension, dyslipidemia), on-hours arrival, ability to ambulate at admission, stroke diagnosis, and site characteristics (geographic region, rural vs urban, teaching hospital, number of beds).

Race and sex were significant predictors of each symptom type; race–sex interactions were not significant for weakness/paresis or other neurological symptoms (P>0.05), thus only main effects are shown for those symptom types.