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. 2018 Aug 24;21(11):1547–1555. doi: 10.1093/ntr/nty173

Table 4.

Logistic Regression of Association Between Demographic and Smoking-Related Variables and Frequency of Crushing the Capsule

Base: factory-made cigarette smokers (18 and over), who smoke capsule cigarettes, have smoked in the last month, and have ever crushed the capsule (344a, unweighted) 1 = Crush capsule always/most of the time (258)
0 = Crush capsule rarely/sometimes (86)
Adj ORb 95% CI lower 95% CI upper p
Gender
 Male ref
 Female 1.973 1.143 3.408 .015
Age group .001
 18–24 ref
 25–34 vs. 18–24 0.754 0.322 1.770 .517
 35–44 vs. 18–34 0.609 0.299 1.238 .171
 45–54 vs. 18–44 1.021 0.453 2.299 .961
 55+ vs. 18–54 0.204 0.095 0.440 <.001
Social grade
 ABC1 ref
 C2DE 0.816 0.450 1.481 .504
Ethnicity .042
 White British ref
 Other White background 0.423 0.184 0.974 .043
 Other 0.421 0.163 1.088 .074
Heaviness of Smoking Index (HSI, 0 = light, 6 = heavy) .006
 0 ref
 1 vs. 0 0.572 0.242 1.354 .204
 2 vs. (0–1) 0.543 0.261 1.131 .103
 3 vs. (0–2) 0.615 0.308 1.225 .167
 4–6 vs. (0–3) 0.310 0.127 0.759 .010
Whether planning to quit in next 6 mo
 No ref
 Yes 1.105 0.639 1.960 .722
Test of model coefficients: χ2 = 55.739, df = 13, p < .001. Nagelkerke R2 = 0.222.
Hosmer & Lemeshow χ2 = 5.283, df = 8, p = .727.

95% CI = 95% confidence interval; Adj OR = adjusted odds ratio; ref = reference category.

a15 missing cases because of missing data across social grade, ethnicity, and Heaviness of Smoking Index where cell sizes were too small to include the “not stated responses” as separate categories.

badjusted for all other variables in the model.