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Table 1 Study Population Baselines Characteristics

From: Increasing false positive diagnoses may lead to overestimation of stroke incidence, particularly in the young: a cross-sectional study

Demographics n (95% CI) Neurological RFV
n = 189 M (174 M - 204 M)
Stroke or TIA
n = 9.55 M (8.68 M – 10.4 M)
Stroke
n = 5.82 M (5.25 M - 6.39 M)
TIA
n = 3.73 M (3.30 M - 4.17 M)
All Visits
n = 2.01B (1.85B – 2.17B)
Age, mean yr (SD) 46 (23) 70 (15) 70 (15) 70 (15) 36 (24)
Female 59% 56% 55% 59% 54%
Race/ethnicity
 White 62% 73% 70% 78% 59%
 Black 20% 13% 15% 9% 21%
 Hispanic 11% 6% 6% 6% 13%
 Other 7% 8% 9% 7% 7%
Insurance
 Private 30% 21% 20% 24% 32%
 Medicare 26% 60% 60% 62% 17%
 Medicaid 19% 7% 8% 6% 24%
 Other 24% 11% 12% 9% 27%
MRI 2% 10% 10% 8% <  1%
Age Distribution
  <  18 11% <  1% 1% <  1% 24%
 18–44 40% 6% 5% 6% 41%
 45–64 24% 26% 27% 25% 20%
 65 + 25% 68% 67% 69% 15%
Comorbiditiesa
 Hypertension 32% 66% 65% 68% 22%
 Diabetes 13% 27% 33% 19% 9%
 CEBVD 7% 60% 60% 61% 3%
 Hyperlipidemia 11% 37% 37% 37% 7%
  1. MRI magnetic resonance imaging, CEBVD cerebrovascular disease, SD standard deviation
  2. aDiabetes and CEBVD data were only available from 2009 and beyond. Hypertension and Hyperlipidemia data were only available from 2014 and beyond