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Table 5 Interim demographics and eligibility

From: Connecting and linking neurocognitive, digital phenotyping, physiologic, psychophysical, neuroimaging, genomic, & sensor data with survey data

Demographics1 Female, age groups (%)2 Male, age groups (%)2
18–29 30–49 50–75 Subtotal 18–29 30–49 50–75 Subtotal
Race3 (subtotal by Sex) 37% 41% 20% 100% 35% 45% 20% 101%
White 13% 14% 8% 35% 13% 16% 9% 38%
African American 19% 23% 11% 52% 17% 22% 9% 48%
Asian American 1% 1% 2% 1% 1% 2%
Native Hawaiian or Pacific Islander 1% 1%
American Indian or Alaskan Native 1% 3% 1% 2% 1% 3%
Any Other Race(s) 3% 3% 1% 7% 3% 4% 1% 9%
Ethnicity4 (subtotal by Sex) 37% 42% 20% 99% 34% 45% 20% 100%
Not Hispanic or Latino 32% 38% 19% 89% 29% 39% 19% 87%
Hispanic or Latino 5% 4% 1% 10% 5% 6% 1% 13%
Ineligibility5 (big data criteria only) (subtotal by Sex) 39% 38% 26% 99% 39% 35% 30% 101%
– Refuses Study Watch
– Nickel Allergy 4% 4% 3% 10% 1% 1% 3%
– No Email Address 3% 5% 5% 13% 4% 6% 9% 20%
– Refuses Smartphone/Passive 3% 3% 2% 8% 12% 2% 2% 7%
– Physical Impairments re: Smartphone 4% 4% 3% 10% 6% 3% 13%
– No Smartphone or Will Not Use One 10% 10% 10% 29% 12% 10% 13% 35%
– Smartphone Use Less Than 1 Year 15% 12% 3% 29% 10% 10% 3% 23%
Trauma Type4 (subtotal by Sex) 35% 38% 24% 99% 31% 38% 29% 98%
Motor Vehicle Crash 23% 25% 14% 62% 16% 20% 13% 49%
Non-Motorized Collision 1% 1% 1% 2%
Physical Assault 7% 7% 2% 16% 7% 9% 5% 22%
Sexual Assault 1% 1% 2%
Fall, ≥10 Feet 1% 1% 1% 2% 1% 3%
Fall, <10 Feet 1% 2% 6% 9% 1% 4% 7%
Burns 1% 1% 1% 2%
Animal-Related 1% 1% 1% 3% 1% 1% 1% 2%
Other 2% 1% 1% 4% 4% 5% 3% 11%
  1. 1. An overview of the eligibility of the trauma patients screened for this study. 2. Percentages listed use sex as the denominator and exclude “missing” data and are subject to rounding. 3. Race uses the denominator of n = 2641 participants screened, whether eligible or ineligible, who also provided their age. 4. Ethnicity and Trauma Type use the denominator of n = 2500 participants screened, whether eligible or ineligible, who also provided their age. 5. Ineligibility uses the denominator of n = 1174 participants screened ineligible for one of these seven “big data” exclusion criteria who also provided their age.