Table 3.
Regression results for non-walking MVPA. Adjusteda within-person differences in non-walking moderate or vigorous physical activity (MVPA) minutes and change in activity status (became more active, became inactive), according to number of days used the program and used any type of bike. N = 1031
| Negative binomial regression. Continuous outcome | Multinomial logistic regression. 3-category outcome (stayed the same 73.3%, became more active 15.2%, became inactive 11.5%) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Outcome 1. MVPA minutes at follow-up, controlling for baseline MVPA | Outcome 2A. Became more active vs. stayed the sameb | Outcome 2B. Became inactive vs. stayed the sameb | ||||||||||
| 95% Confidence Interval | 95% Confidence Interval | 95% Confidence Interval | ||||||||||
| Exp(β) | Low | High | P-value | Exp(β) | Low | High | P-value | Exp(β) | Low | High | P-value | |
| A. Exposure to bikeshare | ||||||||||||
| i. Exposure is continuous change in 10 days of program use c | ||||||||||||
| 1.29 | 1.26 | 1.31 | 0.014 | 1.02 | 0.99 | 1.04 | 0.198 | 0.94 | 0.89 | 0.99 | 0.029 | |
| ii. Categorical exposure, past year change days used the program d | ||||||||||||
| No use, zero days | Referent | Referent | Referent | |||||||||
| Low use, 1—< 15 days | 0.68 | 0.50 | 0.92 | 0.014 | 1.45 | 0.83 | 2.52 | 0.189 | 1.54 | 0.88 | 2.71 | 0.133 |
| Higher use, 15 + days | 1.03 | 0.76 | 1.40 | 0.835 | 1.80 | 1.05 | 3.09 | 0.033 | 0.64 | 0.35 | 1.18 | 0.154 |
| B. Exposure to bikeshare or personal bike | ||||||||||||
| i. Categorical exposure, change in recent bike use (past 30 day personal or bikeshare use) e | ||||||||||||
| No bike use at follow-up | Referent | Referent | Referent | |||||||||
| Bike use at baseline + follow-up | 1.52 | 1.10 | 2.11 | 0.012 | 0.93 | 0.51 | 1.69 | 0.819 | 0.33 | 0.16 | 0.71 | 0.004 |
| New bike use at follow-up (not baseline) | 1.50 | 1.15 | 1.96 | 0.003 | 1.04 | 0.67 | 1.61 | 0.848 | 0.55 | 0.32 | 0.97 | 0.039 |
a Results adjusted for socio-demographics (age, sex, race/ethnicity, disadvantage, per capita income, household composition), number of cars, health status (presence of chronic illness, health status in past month), stayed at same residence, survey season, past 7 days weather, neighborhood biking infrastructure (stations, bikeability, distance to city hall), baseline bike use (personal or bikeshare)
b “Inactive” in this table is defined as less than 10 min per week of non-walking MVPA. "More active" refers to not inactive
c Past year program use at follow-up minus baseline. The model adjusted for all covariates listed above except for baseline program use; this aimed to improve interpretation, even though inference was unchanged
d Bikeshare program use in the past 365 days between baseline and follow-up surveys had the following distribution: (1) no use N = 282 (27%), (2) one day to less than 15 days N = 306 (30%), (3) high use N = 443 (43%)
e Any bike use in past 30 days had the following distribution: 1. no bike use at follow-up N = 598 (58%) (which was comprised of no bike use at baseline or follow-up [N = 474] + bike at baseline but not follow-up [N = 124]), 2. used bike at baseline and follow-up N = 198 (19%), and 3. used bike at follow-up but not at baseline N = 235 (23%)