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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Acad Emerg Med. 2015 May 21;22(6):765–768. doi: 10.1111/acem.12675

Table 1.

Study Population Characteristics

Characteristic No Smartphone n = 88 n (%) Had Smartphone n = 212 n (%) Smartphone With Health Apps n = 94 n (%) Smartphone Without Health Apps n= 118 n (%)
Sex
 Male 51 (60) 69 (32.5) 63 (67) 38 (32)
Age, yrs
 18–24 16 (18) 68 (32) 32 (34) 36 (31)
 25–32 7 (8) 61 (29) 32 (34) 29 (25)
 33–45 21 (24) 52 (25 ) 23 (24) 31 (26)
 >45+ 44 (11) 29 (14) 7 (7) 22 (19)
Race*
 Black 64 (72) 78 (37) 32 (34) 46 (39)
 White 22 (25) 110 (52) 55 (59) 55 (47)
 Asian 1 (1) 8 (4) 2 (2) 6 (5)
 Other 3 (3) 15 (7) 5 (5) 10 (8)
Household Income*
 <$30,000 36 (41) 58 (27) 27 (29) 31 (26)
 $30,000–$49,999 8 (9) 40 (19) 18 (19) 22 (19)
 $50,000–$74,999 6 (7) 22 (10) 13 (14) 9 (8)
 $75,000+ 0 (0) 27 (13) 16 (17) 11 (9)
Education Level*
 Less than high school 8 (9) 20 (9) 6 (6) 14 (12)
 High school graduate or GED 46 (52) 64 (30) 15 (16) 49 (42)
 Some college 18 (20) 82 (39) 43 (46) 39 (33)
 Completed college 7 (8) 25 (12) 18 (19) 7 (6)
 Completed graduate degree 3 (3) 16 (8) 9 (10) 7 (6)
Provider Information
 Health care provider 5 (6) 32 (15) 18 (19) 14 (12)
 Non health care provider 83 (94) 173 (82) 76 (81) 104 (88)
*

May not add to sum of participants as some did not disclose information, or may have fit into multiple categories t Percentages may not add to 100 due to rounding GED = General Education Development test.

Percentages may not add to 100 due to rounding GED = General Education Development test.