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. 2019 Feb 13;16:A10. doi: 10.18332/tid/99542

Table 7.

Relationship between knowledge of health effects (KHR index as well as specific knowledge about several health risks) and label impact index (LII)

Variable Germany
Greece
Spain
Romania
Hungary
Poland
B (95% CI)a
KHR Index 0.33*** 0. 15** 0.29*** 0.30*** 0.30*** 0.14
(0.18, 0.49) (0.04, 0.25) (0.16, 0.42) (0.20, 0.40) (0.13, 0.46) (-0.03, 0.30)
Health Effect Adjusted OR (95% CI)b
Active smoking
Heart disease 1.10*** 1.02 1.16*** 1.16*** 1.05* 0.99
(1.04, 1.15) (0.96, 1.09) (1.07, 1.26) (1.08, 1.23) (1.01, 1.11) (0.93, 1.07)
Impotence 1.08** 1.05* 1.08** 1.07*** 1.06** 1.06**
(1.03, 1.12) (1.01, 1.09) (1.02, 1.14) (1.04, 1.10) (1.02, 1.10) (1.01, 1.11)
Lung cancer 1.10* 1.21* 1.07 1.08 1.00 1.00
(1.01, 1.18) (1.03, 1.41) (0.97, 1.18) (1.00, 1.17) (0.92, 1.05) (0.93, 1.05)
Blindness 1.09*** 1.02 1.07*** 1.07*** 1.07** 1.08***
(1.04, 1.14) (0.99, 1.06) (1.04, 1.12) (1.04, 1.11) (1.02, 1.11) (1.05, 1.11)
Mouth cancer 1.08* 1.05 1.14** 1.10*** 1.02 1.02
(1.02, 1.14) (1.00, 1.11) (1.06, 1.23) (1.05, 1.16) (0.98, 1.07) (0.97, 1.08)
Throat cancer 1.11** 1.05 1.08** 1.09** 1.03 0.99
(1.05, 1.18) (1.00, 1.13) (1.02, 1.14) (1.03, 1.16) (0.98, 1.08) (0.95, 1.05)
Stroke 1.06* 1.04 1.06** 1.11*** 1.05* 1.02
(1.01, 1.11) (0.99, 1.09) (1.01, 1.10) (1.07, 1.15) (1.01, 1.09) (0.97, 1.06)
Emphysema 1.05 0.97 1.03 1.07*** 1.05* 1.00
(0.99, 1.09) (0.91, 1.02) (0.98, 1.09) (1.04, 1.11) (1.01, 1.09) (0.95, 1.05)
Bronchitis 1.03 0.99 1.07 1.11*** 1.04 1.05
(0.97, 1.09) (0.95, 1.05) (0.98, 1.19) (1.06, 1.16) (0.99, 1.09) (1.00, 1.10)
Secondhand smoke
Lung cancer 1.06* 1.04 1.07** 1.05* 1.05* 1.04
(1.02, 1.11) (0.99 -1.09) (1.01, 1.12) (1.01, 1.09) (1.01, 1.09) (1.00, 1.09)
Heart attacks 1.07** 1.04 1.06* 1.07*** 1.06** 1.06**
(1.03, 1.12) (0.99, 1.08) (1.01,1.11) (1.04,1.12) (1.02, 1.10) (1.01, 1.10)
Asthma in children 1.08** 1.05* 1.07* 1.10*** 1.03 1.03
(1.03, 1.13) (1.10, 1.11) (1.02, 1.13) (1.06, 1.14) (0.99, 1.07) (0.99, 1.08)

Missing cases were excluded from the analysis.

a

Linear regression analysis adjusted for age, gender, urbanization degree, income, education level, and cigarettes smoked/day.

b

Multiple logistic regression analysis adjusted for age, gender, urbanization degree, income, education level, and cigarettes smoked/day.

*

p<0.05

**

p<0.01

***

p<0.001.