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. 2021 Jul 14;5(7):e22510. doi: 10.2196/22510

Table 2.

Differences in app engagement by participants’ characteristics (N=41).

Characteristics Low app user (0-6 total check-ins; n=18), n (%) High app user (7-8 total check-ins; n=23), n (%) Unadjusted ORa (95% CI) for high app engagement Adjusted OR (95% CI) for high app engagementb
Baseline characteristics

Sex N/Ac


Female 16 (89) 15 (65) Reference


Male 2 (11) 8 (35) 4.27 (0.78-23.4)

Age (years) N/A


20-39 5 (28) 2 (9) Reference


40-59 10 (56) 13 (57) 3.25 (0.52-20.37)


60-79 3 (17) 8 (35) 6.67 (0.81-54.96)

Health tracking


Does not track health 3 (17) 4 (17) Reference Reference


Tracks health manually 7 (39) 9 (39) 0.96 (0.16-5.80) 1.21 (0.15-9.48)


Tracks health with technology 8 (44) 10 (43) 0.94 (0.16-5.46) 2.89 (0.31-26.71)
Postuse characteristics

Filled out an exit survey


No 6 (33) 1 (4) Reference Reference


Yes 12 (67) 22 (96) 11 (1.18-102.4)d 6.11 (0.59-63.3)

Thought app was too complex (n=34)


No 8 (75) 21 (95) Reference Reference


Yes 4 (25) 1 (5) 0.10 (0.01-0.99)d 0.10 (0.01-1.15)

Thought app was too simplistic (n=34)


No 11 (92) 18 (82) Reference Reference


Yes 1 (8) 4 (18) 2.44 (0.24-24.8) 1.49 (0.12-17.7)

aOR: odds ratio.

bAdjusted for sex and age (as a continuous variable).

cN/A: not applicable.

dStatistically significant result at P<.05.