Table 1 Univariate and multivariate logistic regression to identify factors associated with “Would you like a fitness tracker?”.
Category | Would like a fitness tracker | Univariate OR (95% CI, P value) | Multivariate OR (95% CI, P value) | |
---|---|---|---|---|
No (N = 197) N (%) | Yes (N = 583) N (%) | |||
Center | ||||
CHC | 29 (14.7) | 53 (9.1) | – | – |
CHS | 43 (21.8) | 108 (18.5) | 1.37 (0.77–2.44, P = 0.278) | 2.02 (0.94–4.37, P = 0.073) |
Coop | 25 (12.7) | 143 (24.5) | 3.13 (1.69–5.86, P < 0.001) | 2.15 (1.01–4.58, P = 0.048) |
JH | 39 (19.8) | 117 (20.1) | 1.64 (0.92–2.93, P = 0.094) | 1.64 (0.66–4.06, P= 0.284) |
SRH | 13 (6.6) | 37 (6.3) | 1.56 (0.73–3.47, P = 0.264) | 1.63 (0.55–4.97, P = 0.382) |
SY | 48 (24.4) | 125 (21.4) | 1.42 (0.81–2.49, P = 0.217) | 1.12 (0.55–2.25, P = 0.759) |
Age | ||||
18–25 | 21 (10.7) | 43 (7.4) | – | – |
26–35 | 37 (18.8) | 98 (16.8) | 1.29 (0.67–2.45, P = 0.434) | 1.62 (0.76–3.43, P = 0.207) |
36–45 | 37 (18.8) | 110 (18.9) | 1.45 (0.76–2.75, P = 0.254) | 1.96 (0.91–4.21, P = 0.085) |
46–55 | 37 (18.8) | 143 (24.5) | 1.89 (0.99–3.55, P = 0.050) | 3.07 (1.42–6.64, P = 0.004) |
56–65 | 38 (19.3) | 123 (21.1) | 1.58 (0.83–2.97, P = 0.158) | 2.96 (1.33–6.61, P = 0.008) |
66–75 | 22 (11.2) | 51 (8.7) | 1.13 (0.55–2.34, P = 0.736) | 1.88 (0.74–4.81, P = 0.185) |
76+ | 5 (2.5) | 15 (2.6) | 1.47 (0.49–4.99, P = 0.511) | 3.73 (0.90–16.71, P = 0.075) |
Gender | ||||
Cis man | 73 (37.1) | 131 (22.5) | – | – |
Cis woman | 112 (56.9) | 429 (73.6) | 2.13 (1.50–3.04, P < 0.001) | 1.49 (0.96–2.30, P = 0.072) |
Gender minority | 5 (2.5) | 9 (1.5) | 1.00 (0.33–3.37, P = 0.996) | 0.90 (0.23–4.14, P = 0.888) |
Prefer not to answer | 7 (3.6) | 14 (2.4) | 1.11 (0.44–3.05, P = 0.823) | 1.10 (0.33–4.11, P = 0.879) |
Language | ||||
English | 137 (69.5) | 387 (66.4) | – | – |
Spanish | 60 (30.5) | 196 (33.6) | 1.16 (0.82–1.65, P = 0.414) | 1.37 (0.66–2.79, P = 0.393) |
Education | ||||
Less than high school | 31 (16.4) | 99 (17.3) | – | – |
High school or some college | 140 (74.1) | 372 (65.1) | 0.83 (0.53–1.29, P = 0.421) | 0.61 (0.33–1.10, P = 0.108) |
College degree or more | 18 (9.5) | 100 (17.5) | 1.74 (0.92–3.36, P = 0.092) | 1.20 (0.54–2.71, P = 0.662) |
Race/ethnicity | ||||
White | 36 (18.3) | 80 (13.7) | – | – |
Black or African American | 61 (31.0) | 210 (36.0) | 1.55 (0.95–2.51, P = 0.077) | 2.31 (1.01–5.34, P = 0.048) |
Hispanic/Latinx/Spanish | 76 (38.6) | 229 (39.3) | 1.36 (0.84–2.16, P = 0.205) | 1.30 (0.56–3.05, P = 0.548) |
AI/AN, Asian, ME/NA, or NH/PI | 3 (1.5) | 9 (1.5) | 1.35 (0.38–6.35, P = 0.666) | 1.38 (0.30–8.15, P = 0.695) |
Multiple races or ethnicities | 7 (3.6) | 21 (3.6) | 1.35 (0.55–3.68, P = 0.532) | 1.51 (0.51–4.92, P = 0.473) |
Other/prefer not to answer | 14 (7.1) | 34 (5.8) | 1.09 (0.53–2.33, P = 0.813) | 1.62 (0.63–4.40, P = 0.328) |
Have a smartphonea | 143 (73.3) | 488 (84.7) | 2.02 (1.36–2.97, P < 0.001) | 2.66 (1.59–4.46, P < 0.001) |
Knew what fitness tracker was before this surveya | 81 (41.1) | 323 (55.6) | 1.79 (1.29–2.49, P < 0.001) | 1.91 (1.25–2.93, P = 0.003) |
Why do not have a fitness trackera: | ||||
They [Fitness Trackers] are not helpful | 16 (8.5) | 8 (1.4) | 0.15 (0.06–0.35, P < 0.001) | 0.15 (0.05–0.40, P < 0.001) |
I do not know how to use it | 30 (16.0) | 109 (19.2) | 1.25 (0.81–1.97, P = 0.327) | 1.49 (0.87–2.60, P= 0.151) |
They are too expensive | 48 (25.5) | 281 (49.4) | 2.85 (1.98–4.14, P < 0.001) | 2.71 (1.73–4.29, P < 0.001) |
I do not understand how it can help me, but want to learn | 12 (6.4) | 89 (15.6) | 2.72 (1.51–5.34, P = 0.002) | 2.77 (1.43–5.79, P = 0.004) |
I do not have access to the internet | 10 (5.3) | 23 (4.0) | 0.75 (0.36–1.68, P = 0.459) | 0.83 (0.36–2.05, P = 0.679) |
I do not want to commit to using everyday | 37 (19.7) | 31 (5.4) | 0.24 (0.14–0.39, P < 0.001) | 0.30 (0.16–0.56, P < 0.001) |