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. 2015 Oct;105(10):2131–2136. doi: 10.2105/AJPH.2015.302738

TABLE 4—

Multivariable Logistic Regression Among Injured Commercial Bicyclists: New York City, 2008–2014

Outcome: Four Category ISSa Odds Ratio (SE) P 95% CI
Commercial bicyclist 0.412 (0.118) .002 0.235, 0.723
Aged 18–65 y 0.541 (0.153) .018 0.325, 0.899
Race/ethnicity
 Non-Latino White (Ref) 1.000
 Black 0.344 (0.141) .009 0.154, 0.768
 Latino 0.830 (0.209) .459 0.506, 1.360
 Other 1.084 (0.326) .788 0.601, 1.955
Riding in bike lane/path 1.333 (0.325) .239 0.825, 2.152
Riding against flow of traffic 1.513 (0.540) .246 0.751, 3.050
Collided with open car door 0.412 (0.156) .019 0.196, 0.864
Helmet use 0.824 (0.188) .396 0.527, 1.288
Electronic device useb 0.786 (0.274) .49 0.397, 1.558
Alcohol involved 3.036 (0.925) < .001 1.671, 5.517
Motor vehicle type
 Passenger vehicle (Ref) 1.000
 Taxicab 0.616 (0.153) .051 0.379, 1.002
 Commercial vehicle 1.449 (0.337) .155 0.869, 2.414
Icy or wet roadway 1.147 (0.393) .688 0.586, 2.247

Note. CI = confidence interval; ISS = Injury Severity Score.

a

ISS categories defined as: mild: ISS 0–8, moderate: ISS 9–15, severe: ISS 16–24, critical: ISS ≥ 25.

b

Electronic device use includes listening to music, talking on phone, texting, or playing handheld game.