Table 2 .

Factors associated with sustained physical activity monitor use

	Unadjusted modela		Model 1b		Model 2c
Variables	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value
Sociodemographics
Age (years)	1.02 (1.00–1.04)	.056	1.02 (1.00–1.04)	.066	1.03 (1.01–1.05)	.014
Female	0.85 (0.50–1.44)	.542	0.93 (0.53–1.63)	.790	0.99 (0.56–1.78)	.983
Race/ethnicity
Non-Hispanic White	1.00 (Ref)		1.00 (Ref)		1.00 (Ref)
Non-Hispanic Black	0.80 (0.37–1.73)	.575	0.78 (0.35–1.74)	.547	0.56 (0.24–1.31)	.183
Non-Hispanic Asian	0.74 (0.39–1.44)	.379	0.83 (0.42–1.64)	.593	0.83 (0.41–1.68)	.612
Hispanic	3.55 (1.23–10.30)	.020	3.44 (1.17–10.16)	.025	3.67 (1.20–11.26)	.023
Other	0.58 (0.20–1.67)	.311	0.67 (0.23–1.99)	.472	0.52 (0.17–1.59)	.249
Income (<$50,000)	0.97 (0.62–1.52)	.898	1.04 (0.64–1.69)	.887	0.98 (0.59–1.61)	.924
Education (≥bachelors)	0.64 (0.38–1.06)	.081	0.65 (0.38–1.12)	.119	0.69 (0.40–1.20)	.190
Relationship status (partnered)	0.94 (0.61–1.44)	.763	0.78 (0.49–1.24)	.296	0.68 (0.42–1.10)	.118
Health-related measures
BMI	1.00 (0.97–1.04)	.875	1.00 (0.96–1.03)	.773	1.01 (0.97–1.05)	.807
Number of Medical Conditions
None	1.00 (Ref)		1.00 (Ref)
One	1.44 (0.87–2.37)	.156	1.32 (0.79–2.22)	.289
Multiple	1.24 (0.69–2.21)	.471	1.11 (0.59–2.07)	.755
Perceived health
Fair/poor	1.00 (Ref)		1.00 (Ref)
Good	0.91 (0.42–1.99)	.815	1.05 (0.45–2.47)	.911
Very good/ excellent	1.13 (0.53–2.41)	.747	1.18 (0.48–2.92)	.722
Physical activity characteristics
MVPA	1.01 (1.00–1.02)	.149	1.01 (1.00–1.02)	.190	1.00 (0.99–1.01)	.834
Preferred type of exercised
Lift weights	0.95 (0.61–1.48)	.825	0.88 (0.55–1.43)	.614
Walk/hike	1.35 (0.84–2.18)	.212	1.24 (0.74–2.09)	.410
Run	1.43 (0.93–2.22)	.106	1.61 (0.93–2.79)	.092	1.82 (1.02–3.24)	.043
Bike	1.11 (0.65–1.90)	.691	1.10 (0.63–1.93)	.735
Swim	1.11 (0.52–2.36)	.784	1.04 (0.48–2.25)	.923
Dance/aerobics	1.45 (0.84–2.48)	.181	1.61 (0.91–2.86)	.100
Yoga/pilates	1.19 (0.74–1.90)	.484	1.17 (0.71–1.92)	.541
Team sports	0.97 (0.40–2.40)	.955	0.75 (0.28–2.00)	.568
Device-use characteristics
Months of device use	1.02 (1.00–1.05)	.043	1.02 (1.00–1.05)	.057	1.02 (1.00–1.05)	.062
Device source—gift	0.78 (0.51–1.21)	.27	0.86 (0.55–1.34)	.493
Data sharinge
On social media	5.12 (1.74–15.08)	.003	4.94 (1.65–14.82)	.004	5.11 (1.64–15.93)	.005
Privately with friends/family	1.28 (0.82–2.02)	.279	1.36 (0.84–2.20)	.209
With doctor	2.06 (0.85–5.02)	.111	1.78 (0.71–4.42)	.217
With coach/trainer	1.63 (0.51–5.22)	.411	1.27 (0.38–4.24)	.697
Other activity monitor users in their network (none)	1.33 (0.69–2.58)	.393	1.09 (0.54–2.21)	.806
Perceived influence of device on activity (positive)	0.98 (0.58–1.65)	.934	0.96 (0.56–1.64)	.880
Reasons for using an activity monitord
Interested in the technology	1.01 (0.71–1.69)	.67	1.11 (0.77–1.94)	.394
To monitor health variables	1.34 (0.84–2.14)	.227	1.55 (0.94–2.55)	.089	1.73 (1.02–2.92)	.042
To help lose weight	1.16 (0.75–1.78)	.5	1.31 (0.81–2.13)	.274
For gaming/competition/training	0.84 (0.51–1.37)	.477	0.88 (0.52–1.48)	.618
Recommended by family/coach/doctor	1.08 (0.62–1.88)	.779	1.06 (0.60–1.52)	.853

Bold = p < .05.

BMI, body mass index.

^aAll variables examined individually.

^bAdjusted for covariates (age, sex, race/ethnicity, BMI, relationship status, education, income, MVPA, and length of use prior to baseline).

^cAdjustment for covariates, plus all variables with p ≤ .10 in Model 1.

^dTested as individual dummy codes (e.g., preferred lifting weights vs. all other types).

^eTested as a three-level categorical variable such that coefficients compare a given type of sharing versus not sharing data at all (reference category), accounting for all other types of data sharing.