Table 3 Multivariable logistic regression model for odds of upper extremity injury among bicyclists in Ohio, 2013–2017

 3–14

343 (36.4)

0.04 (0.10)

1.04 (0.85–1.27)

−0.04 (0.11)

0.96 (0.78–1.18)

 15–24

418 (38.1)

0.11 (0.10)

1.12 (0.93–1.35)

0.08 (0.01)

1.08 (0.89–1.31)

 25–44

296 (35.5)

-- ^c

-- ^c

-- ^c

--^c

 45–64

323 (39.8)

0.18 (0.11)

1.20 (0.98–1.48)

0.17 (0.11)

1.19 (0.97–1.47)

 65+

73 (46.1)

0.44 (0.18) *

1.56 (1.10–2.21)

0.38 (0.18) *

1.46 (1.03–2.08)

 Non-adverse weather condition

1364 (38.3)

-- ^c

--^c

-- ^c

--^c

 Adverse weather condition

89 (31.6)

−0.30 (0.14) *

0.74 (0.57–0.97)

− 0.21 (0.14)

0.81 (0.62–1.07)

 Daytime

1154 (38.8)

-- ^c

--^c

-- ^c

--^c

 Nighttime

299 (34.6)

−0.19 (0.08) *

0.83 (0.71–0.98)

−0.07 (0.09)

0.93 (0.78–1.11)

 Quarter 1(January–March)

84 (30.7)

−0.42 (0.14) **

0.66 (0.50–0.87)

−0.43 (0.15) **

0.65 (0.49–0.87)

 Quarter 2 (April–June)

482 (40.4)

0.00 (0.08)

1.00 (0.86–1.17)

0.02 (0.08)

1.02 (0.87–1.19)

 Quarter 3 (July–September)

667 (40.3)

-- ^c

--^c

-- ^c

--^c

 Quarter 4 (October–December)

220 (30.5)

−0.43 (0.10) **

0.65 (0.53–0.79)

−0.42 (0.10) **

0.66 (0.54–0.81)

 2013

267 (34.0)

-- ^c

--^c

-- ^c

--c

 2014

304 (37.9)

0.17 (0.11)

1.19 (0.96–1.47)

0.14 (0.11)

1.15 (0.92–1.43)

 2015

263 (36.8)

0.12 (0.12)

1.13 (0.89–1.42)

0.12 (0.12)

1.13 (0.89–1.43)

 2016

304 (39.1)

0.22 (0.11) *

1.25 (1.01–1.54)

0.23 (0.11) *

1.26 (1.02–1.56)

 2017

315 (41.2)

0.31 (0.11) **

1.36 (1.09–1.69)

0.31 (0.11) **

1.36 (1.09–1.70)