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. Author manuscript; available in PMC: 2024 May 3.
Published in final edited form as: Am J Prev Med. 2023 Sep 19;66(1):159–163. doi: 10.1016/j.amepre.2023.09.013

Table 2.

Estimates of the Impacts of Cigar Pack Quantity and Pricing Policies on Past 30-Day Youth Cigar and Cigarette Use in Boston and Massachusetts

Cigar Use Cigarette Use
Characteristic Boston AOR (95% CI) Statewide AOR (95% CI) Boston AOR (95% CI) Statewide AOR (95% CI)
Cigar pack policya 0.28 (0.17, 0.47) 0.98 (0.98, 0.99) 0.12 (0.07, 0.19) 0.97 (0.96, 0.97)
Sex (ref: male)
 Female 0.46 (0.39, 0.54) 0.31 (0.28, 0.34) 0.90 (0.80, 1.02) 0.93 (0.86, 1.01)
Race/ethnicity (ref: White)
 Black 0.56 (0.44, 0.71) 0.56 (0.46, 0.68) 0.30 (0.24, 0.38) 0.47 (0.40, 0.57)
 Hispanic 0.69 (0.54, 0.88) 0.73 (0.65, 0.81) 0.46 (0.36, 0.58) 0.73 (0.65, 0.81)
 Other 0.44 (0.34, 0.57) 0.74 (0.65, 0.83) 0.29 (0.23, 0.36) 0.80 (0.71, 0.89)
Age (ref: 14 or younger)
 15 years 1.11 (0.83,1.50) 1.18 (0.99, 1.39) 1.25 (0.92, 1.70) 1.19 (1.07,1.33)
 16 years 1.12 (0.82, 1.52) 1.56 (1.29, 1.88) 1.40 (1.04, 1.88) 1.62 (1.38, 1.89)
 17 years 1.47 (1.07, 2.03) 2.07 (1.74, 2.42) 1.82 (1.34, 2.47) 2.07 (1.83, 2.34)
 18 years+ 1.55 (1.11, 2.18) 2.51 (2.02, 3.11) 2.03 (1.45, 2.85) 2.75 (2.37, 3.18)
Stratified Analyses by Sex and Race/Ethnicity
Policy effects by sex
 Male 0.18 (0.10, 0.31) 0.98 (0.97, 0.98) 0.13 (0.07, 0.24) 0.97 (0.96, 0.98)
 Female 0.56 (0.24, 1.29) 0.98 (0.97, 0.99) 0.09 (0.04, 0.23) 0.97 (0.96, 0.97)
Policy effects by race/ethnicity
 White 0.16 (0.04, 0.75) 0.98 (0.97, 0.99) 0.01 (0.002, 0.12) 0.97 (0.96, 0.97)
 Black 0.29 (0.12, 0.68) 0.96 (0.94, 0.98) 0.21 (0.09, 0.52) 0.96 (0.94, 0.97)
 Hispanic 0.33 (0.17, 0.64) 0.99 (0.98, 0.996) 0.12 (0.07, 0.22) 0.97 (0.96, 0.98)
 Other 0.35 (0.09, 1.39) 0.98 (0.97,1.001) 0.15 (0.04, 0.57) 0.97 (0.95, 0.98)

Notes: Year fixed effects are included in all regression models. Bold indicates statistical significance (p<0.05).

a

For Boston, change in use was examined prepolicy (1999–2011) to postpolicy (2012–2019). Statewide analyses account for the percentage of the state population covered by a policy each year. Stratified analyses also adjust for year, sex, race/ethnicity, and age based on categories available from the state.