epidemiology of smoking and quitting in hungary edit paulik, lászló nagymajtényi department of...
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Epidemiology of smoking Epidemiology of smoking and quitting in Hungaryand quitting in Hungary
Edit Paulik, László Nagymajtényi
Department of Public Health, Faculty of Medicine, University of Szeged
NATIONAL AND INTERNATIONAL ASPECTS OF TOBACCO CONTROLSzeged, 18 June 2011
Social and healthSocial and health related predictors of related predictors of smoking and quitting in Hungary smoking and quitting in Hungary 2008-2008-
20122012**
PURPOSE OF STUDY To determine social, economic and health-related factors
associated with smoking vs. non-smoking, and quitting To describe attitudes/opinions about tobacco control
policies in various subgroups of population To support the planning and implementation of smoking
related interventions in various subgroups of the population
*This publication was made possible by Grant Number 1 R01 TW007927-01 from the Fogarty International Center, the National Cancer Institute, and the National Institutes on Drug Abuse, within the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the NIH.
http://kozegeszsegtan.sote.hu/tobacco/http://kozegeszsegtan.sote.hu/tobacco/
Methods Self-administered questionnaire 16-70 years old population living in various regions of Hungary
48 settlements (n=2,250) Response rate: 57.4%
Sample characteristics Mean age: 42.4 14.6 ys; (min: 16, max: 70 ys)
(age-groups: 24; 25-44; 45-64; 65 ys) Males: 46.8%, females: 53.2% Education level: low 18.6%; medium 61.8%; high 19.6%
Statistical analysisStatistical analysis
Dependent variables
Smoking status Quitting smoking Attitudes toward
tobacco control policies
Independent variables
Age Sex Education Regions
Association between smoking status and attitudes
Association between quitting and attitudes
SPSS 17.0 for Windows
Smoking statusSmoking statusSMOKERS: 33.2%; FORMER SMOKERS: 17.6%; NON-SMOKERS: 49.2%
SMOKERS BY SEX*: MALE 38.7%; FEMALE 28.4%
0
5
10
15
20
25
30
35
40
-24 25-44 45-64 65- low medium high
%
38.1
25.6 31.628.9
35.6
38.5
32.5
SMOKERS (%) within
age-groups (ys)*age-groups (ys)* education*education* geographical regions*
Chi-square test: *p0.05
Quitting smokingQuitting smoking48.0% OF SMOKERS WANTED TO QUIT SMOKING48.0% OF SMOKERS WANTED TO QUIT SMOKING, , 22.5% WAS UNCERTAIN22.5% WAS UNCERTAIN
29.5% DIDN’T 29.5% DIDN’T WANT TO QUIT SMOKINGWANT TO QUIT SMOKING
QUITTING SMOKING BY SEX: MALE 45.6%; FEMALE 50.9%QUITTING SMOKING BY SEX: MALE 45.6%; FEMALE 50.9%
0
10
20
30
40
50
60
-24 25-44 45-64 65- low medium high
%
51.5
31.3 50.544.4
46.4
57.1
48.1
QUITTING SMOKING (%) within
age-groups (ys)age-groups (ys) educationeducation geographical regions*
Chi-square test: *p0.05
Tobacco control policiesTobacco control policies
Bans on smoking in health care institutes. Restrictions on smoking in work places. Bans on smoking in restaurants, cafeterias, and
indoor work places. Restrictions on smoking in outdoor public areas. Bans on smoking in closed public places.
Attitudes toward tobacco control Attitudes toward tobacco control policiespolicies
(agreement with the measures, total)(agreement with the measures, total)
82.9
81.2
79.2
80.0
91.7
72 74 76 78 80 82 84 86 88 90 92 94
Bans in closed publicplaces
Restrictions in outdoorpublic areas
Bans in restaurants,cafeterias
Restrictions in workplaces
Bans in health careinstitutes
%
Attitudes toward tobacco control policies Attitudes toward tobacco control policies by age, sex, education and regions by age, sex, education and regions (agreement with the measures)(agreement with the measures)**
POLICIES Age Sex Education Region
Bans on smoking in health care institutes.
NS NS p<0.05 NS
Restrictions on smoking in work places.
p<0.05 p<0.05 p<0.05 p<0.05
Bans on smoking in restaurants, cafeterias, and indoor work places.
p<0.05 p<0.05 p<0.05 p<0.05
Restrictions on smoking in outdoor public areas.
NS p<0.05 NS p<0.05
Bans on smoking in closed public places.
p<0.05 p<0.05 p<0.05 NS
*Results of logistic regression analysis NS=not significant
Attitudes toward tobacco control Attitudes toward tobacco control policiespolicies
and smoking status (agreement with and smoking status (agreement with the measures)the measures)
0 10 20 30 40 50 60 70 80 90 100
Bans in closed publicplaces*
Restrictions in outdoorpublic areas*
Bans in restaurants,cafeterias*
Restrictions in workplaces*
Bans in health careinstitutes*
%
smokers former smokers non-smokers*p0.05
Attitudes toward tobacco control Attitudes toward tobacco control policiespolicies
and quitting smoking (agreement with and quitting smoking (agreement with the measures)the measures)
0 10 20 30 40 50 60 70 80 90 100
Bans in closed public places*
Restrictions in outdoorpublic areas*
Bans in restaurants,cafeterias*
Restrictions in work places
Bans in health careinstitutes*
%
wanted quit uncertain about quitting didn't want to quit*p0.05
SummarySummary Tobacco epidemic in Hungary
Shift from stage 3 to stage 4 ? high prevalence in males and females higher prevalence in lower educated
Quitting smoking – only geographical variations Tobacco control policies
High level of support at population level Higher support among
non-smokers those who wanted to quit smoking those who were uncertain about quitting smoking
Implementation of tobacco control policies
Increasing the prevalence of quitting
Declining the prevalence of smoking
Thank you for your attention!