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EPJ Data Science

Table 5 Interim demographics and eligibility

Demographics¹	Female, age groups (%)²				Male, age groups (%)²
Demographics¹	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. 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.