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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: J Adolesc Health. 2018 Mar 2;62(5):618–625. doi: 10.1016/j.jadohealth.2017.12.001

Table 5.

Adolescent drivers who talked on a handheld device while driving at least once in the 30 days before the survey and the association with cellphone use while driving legislation

Characteristic Law Model 1a
Model 2a
Model 3a
p Valuea
RR 95% CI RR 95% CI RR 95% CI
Overall UHB .46 .32–.65 .43 .30–.61 .45 .32–.63
UTB 1.11 .84–1.48 1.17 .86–1.57
YDB .91 .72–1.15 .89 .72–1.10
Age .7606
 16–17 UHB .45 .32–.63 .43 .31–.61 .44 .31–.64
UTB 1.12 .84–1.48 1.08 .81–1.44
YDB .91 .72–1.14 .94 .76–1.17
 18 UHB .46 .26–.82 .45 .26–.77 .47 .28–.78
UTB 1.40 .91–2.16 1.27 .86–1.86
YDB .81 .61–1.08 .83 .62–1.10
Sex .2301
 Male UHB .37 .24–.57 .36 .23–.58 .36 .23–.57
UTB 1.13 .80–1.59 1.14 .80–1.61
YDB .93 .71–1.22 .93 .72–1.21
 Female UHB .55 .34–.89 .51 .33–.79 .51 .32–.81
UTB 1.37 .86–2.19 1.22 .83–1.80
YDB .79 .59–1.05 .86 .66–1.14
Race/ethnicity .3779
 White, non-Hispanic UHB .39 .19–.81 .39 .19–.80 .38 .19–.74
UTB 1.06 .82–1.38 1.05 .82–1.34
YDB .94 .78–1.13 .94 .78–1.13
 Other UHB .60 .41–.88 .57 .37–.89 .58 .38–.90
UTB 1.26 .79–2.02 1.33 .84–2.11
YDB .80 .53–1.21 .83 .57–1.21
Location .3467
 Urban UHB .47 .32–.67 .45 .32–.63 .45 .32–.65
UTB 1.21 .88–1.65 1.18 .90–1.56
YDB .82 .64–1.05 .84 .67–1.06
 Rural UHB .64 .34–1.20 .72 .38–1.36 .73 .38–1.38
UTB 1.00 .68–1.49 .91 .62–1.34
YDB 1.07 .72–1.59 1.11 .77–1.60

CI = confidence interval; RR = estimated risk ratio; UHB = universal handheld calling ban; UTB = universal texting ban; YDB = young driver all cellphone ban.

a

The outcome was whether or not the driver self-reported engaging in handheld cellphone conversations in the 30 days before the survey. The exposure was the cellphone use while driving legislation. The RR presented compares drivers exposed with the ban to those who were not exposed; although the models contained several variables, only the RRs pertaining to the main types of cellphone legislation were shown for ease of presentation. Model 1 contained variables for the presence of a handheld calling ban (binary) only. Model 2 contained variables for the presence of a handheld calling ban (binary), the presence of universal texting ban (binary), the presence of YDB (binary), and the year of survey. Model 3 contained all terms from Model 2 and additionally controlled for sex, age, and race/ethnicity. A fourth model containing variables from Model 2 with the driver characteristic and an interaction term between the legislation and the driver characteristic were run to formally test for subgroup differences. The p value presented applies to the interaction term between the presence of a universal handheld calling ban and the driver characteristic. The null hypothesis was the driver subgroups were equal.