Table 3

Characteristics of officers that were associated with reporting that a universal texting ban was difficult to adjudicate*

CharacteristicCrude modelAdjusted model
OR95% CIOR95% CI
Age (in years)
 18–341.200.73 to 1.98
 35–441.080.62 to 1.89
 45–541.250.78 to 2.02
 >551Referent
Sex
 Male1.430.62 to 3.32
 Female1Referent
Race
 White1.370.69 to 2.70
 Other1Referent
Education
 High school or equivalency0.690.40 to 1.19
 Associate degree10.58 to 1.74
 Bachelor’s degree1.010.55 to 1.84
 Graduate degree1Referent
Law enforcement experience (in years)
 <151.030.55 to 1.93
 15–241.240.62 to 2.48
 ≥251Referent
State-level universal hand-held cellphone ban in effect
 Yes0.320.12 to 0.840.230.08 to 0.70
 No1Referent1Referent
State-level young driver all cellphone bans in effect
 Yes1.100.27 to 4.582.730.59 to 12.69
 No1Referent1Referent
  • *A multilevel logistic regression model which accounted for the correlation of state was used to estimate ORs. The dependent variable was whether or not an officer perceived that universal texting bans were difficult to adjudicate. Separate crude models were run between each characteristic noted and the outcome. Multivariable models were adjusted for confounders of the relationship between statistically significant independent variables (ie, the presence of a universal hand-held ban) and the outcome.