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Table 6 Logistic regression analyses for associations with reporting being a "lights" smoker*

From: Misperceptions of "light" cigarettes abound: National survey data

Variables

Adjusted Odds Ratio (95% CI)

 

Model 1

(demo-graphics)

Model 2

(+ socio-demo-graphics)

Model 3

(+ smoking behaviour)

Model 4

(+ smoking beliefs)

Demographic

    

Age (years)#

1.14

(0.99 – 1.31)

1.13

(0.98 – 1.31)

1.14

(0.98 – 1.32)

1.22

(1.04 – 1.43)

Gender (women vs men)

1.78

(1.20 – 2.65)

1.77

(1.19 – 2.63)

1.57

(1.03 – 2.39)

1.46

(0.96 – 2.24)

Māori vs European

0.53

(0.35 – 0.80)

0.56

(0.37 – 0.84)

0.57

(0.37 – 0.87)

0.55

(0.35 – 0.84)

Pacific vs European

0.14

(0.05 – 0.40)

0.15

(0.05 – 0.44)

0.13

(0.04 – 0.41)

0.11

(0.04 – 0.35)

Asian vs European

2.09

(0.78 – 5.61)

2.15

(0.79 – 5.84)

0.99

(0.42 – 2.35)

0.92

(0.38 – 2.20)

Socio-demographic

    

Deprivation quintiles (increasing deprivation)

-

0.92

(0.79 – 1.06)

0.94

(0.81 – 1.10)

0.93

(0.79 – 1.09)

Smoking behaviour

    

RYO smoker (only) vs Others

-

-

0.58

(0.38 – 0.91)

0.57

(0.37 – 0.90)

Heaviness of smoking index (alternate version)** #

-

-

0.86

(0.78 – 0.96)

0.87

(0.78 – 0.96)

Smoking beliefs

    

Awareness of smoking harm (7-item scale)**

-

-

-

1.82

(1.17 – 2.83)

Holding at least one of the 3 beliefs that "lights" confer health benefits**

-

-

-

1.95

(1.29 – 2.95)

  1. * The aORs in models 2, 3 & 4 are adjusted for the demographic and key socio-demographic variables (ie, deprivation), models 3 & 4 for smoking behaviour variables and model 4 for smoking beliefs. The included variables from the univariate analyses that became not significant in the models (at p < 0.05) were subsequently omitted from the final respective models, except for those considered critical to our conceptual framework (see Methods).
  2. ** See Tables 3 and 4 for further details on these indices and α scores (for multi-item indices) and Table 5 for the three questions used for the variable in the last row of the above table.
  3. # Continuous variable and for age the actual age (years) was divided by 10 so as to interpret the OR estimates for an increment of 10 years.