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. 2020 Jun 3;22(6):e17152. doi: 10.2196/17152

Table 1.

Sample characteristics of physical activity app users and nonusers (n=1432).

Characteristic App users (n=761) Nonusers (n=671) P valuea Effect size, Φ Effect size, Cohen d
Age (years), n (%) .42 0.12 N/Ab

18-25 243 (32.0) 257 (38.3)



>25-30 115 (15.0) 76 (11.4)



>30-40 190 (25.0) 119 (17.7)



>40 208 (27.3) 214 (31.9)


Gender identity, n (%) .94 0.006 N/A

Female 668 (88.0) 588 (88.0)



Male 84 (11.0) 73 (11.0)


Ethnicity, n (%) .67 0.05 N/A

White 682 (89.6) 581 (86.6)



Asian 35 (4.6) 37 (5.5)



Indian 10 (1.3) 13 (1.9)



Other 34 (4.5) 40 (6.0)


Structured physical activity (min per week), mean (SD)

Overall structured physical activity 309.0 (214) 219.0 (216) <.001 N/A 0.42

Individual activities (n=858) 141.9 (179.4) 120.6 (171.3) .21 N/A 0.08

Sport-based activities (n=324) 115.5 (120.4) 110.7 (96.4) .61 N/A 0.06

Gym-based activities (n=620) 77.4 (79.8) 92.8 (115.3) .23 N/A 0.09

aStatistical significance is represented by P<.05.

bN/A: not applicable.