Cargando…

Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis

OBJECTIVES: Aim of this study was to examine trends over time in smoking status in men and women, and in subgroups, in Austria, a country with poor smoking regulation policies. DESIGN AND PARTICIPANTS: Two cross-sectional surveys (Austrian Health Interview Surveys for 2007 and 2014), each with more...

Descripción completa

Detalles Bibliográficos
Autores principales: Dorner, Thomas Ernst, Brath, Helmut, Kautzky-Willer, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482469/
https://www.ncbi.nlm.nih.gov/pubmed/32907892
http://dx.doi.org/10.1136/bmjopen-2019-035235
_version_ 1783580792886132736
author Dorner, Thomas Ernst
Brath, Helmut
Kautzky-Willer, Alexandra
author_facet Dorner, Thomas Ernst
Brath, Helmut
Kautzky-Willer, Alexandra
author_sort Dorner, Thomas Ernst
collection PubMed
description OBJECTIVES: Aim of this study was to examine trends over time in smoking status in men and women, and in subgroups, in Austria, a country with poor smoking regulation policies. DESIGN AND PARTICIPANTS: Two cross-sectional surveys (Austrian Health Interview Surveys for 2007 and 2014), each with more than 15 000 participants from the general population, aged ≥15 years. OUTCOME MEASURES: Prevalence of self-reported daily smoking. ORs for daily smoking in subgroups, presented as results of logistic regression models, adjusted for sociodemographic variables and presence of chronic diseases. RESULTS: Prevalence of daily cigarette smoking was 26.0% for men in both years, and increased from 19.1% to 22.0% (p<0.001) in women from 2007 to 2014. Smoking prevalence increased especially in female patients with diabetes mellitus (from 9.9% to 16.4%, p=0.005), obesity (from 17.1% to 21.6%, p=0.010) and hypertension (from 11.2% to 14.2%, p=0.010). Smoking prevalence increased significantly in unemployed men (from 43.6% to 57.1%, p<0.001). In women, smoking prevalence increased in those aged 30–64 years (from 21.9% to 26.3%, p<0.001) and 65+ (from 3.9% to 6.2%, p=0.002), with primary (from 17.2% to 24.4%, p<0.001) and secondary education (from 21.4% to 23.4%, p=0.021), and with a European (from 16.6% to 26.1%, p<0.001) and non-European migration background (from 25.0% to 32.8%, p=0.003). In the adjusted analysis for women in 2014, there was a higher likelihood of smoking (OR 1.22, 95% CI 1.12 to 1.32, p<0.001) compared with 2007, and for those affected by a chronic disease (OR 1.15, 95% CI 1.06 to 1.25, p=0.002). CONCLUSIONS: There has been a remarkable increase in smoking prevalence over the 7-year period in women in Austria, especially for those with chronic diseases, higher age, lower education and a migration background. Better political and clinical efforts are needed to reduce the high tobacco use in Austria.
format Online
Article
Text
id pubmed-7482469
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-74824692020-09-18 Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis Dorner, Thomas Ernst Brath, Helmut Kautzky-Willer, Alexandra BMJ Open Public Health OBJECTIVES: Aim of this study was to examine trends over time in smoking status in men and women, and in subgroups, in Austria, a country with poor smoking regulation policies. DESIGN AND PARTICIPANTS: Two cross-sectional surveys (Austrian Health Interview Surveys for 2007 and 2014), each with more than 15 000 participants from the general population, aged ≥15 years. OUTCOME MEASURES: Prevalence of self-reported daily smoking. ORs for daily smoking in subgroups, presented as results of logistic regression models, adjusted for sociodemographic variables and presence of chronic diseases. RESULTS: Prevalence of daily cigarette smoking was 26.0% for men in both years, and increased from 19.1% to 22.0% (p<0.001) in women from 2007 to 2014. Smoking prevalence increased especially in female patients with diabetes mellitus (from 9.9% to 16.4%, p=0.005), obesity (from 17.1% to 21.6%, p=0.010) and hypertension (from 11.2% to 14.2%, p=0.010). Smoking prevalence increased significantly in unemployed men (from 43.6% to 57.1%, p<0.001). In women, smoking prevalence increased in those aged 30–64 years (from 21.9% to 26.3%, p<0.001) and 65+ (from 3.9% to 6.2%, p=0.002), with primary (from 17.2% to 24.4%, p<0.001) and secondary education (from 21.4% to 23.4%, p=0.021), and with a European (from 16.6% to 26.1%, p<0.001) and non-European migration background (from 25.0% to 32.8%, p=0.003). In the adjusted analysis for women in 2014, there was a higher likelihood of smoking (OR 1.22, 95% CI 1.12 to 1.32, p<0.001) compared with 2007, and for those affected by a chronic disease (OR 1.15, 95% CI 1.06 to 1.25, p=0.002). CONCLUSIONS: There has been a remarkable increase in smoking prevalence over the 7-year period in women in Austria, especially for those with chronic diseases, higher age, lower education and a migration background. Better political and clinical efforts are needed to reduce the high tobacco use in Austria. BMJ Publishing Group 2020-09-09 /pmc/articles/PMC7482469/ /pubmed/32907892 http://dx.doi.org/10.1136/bmjopen-2019-035235 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Dorner, Thomas Ernst
Brath, Helmut
Kautzky-Willer, Alexandra
Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis
title Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis
title_full Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis
title_fullStr Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis
title_full_unstemmed Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis
title_short Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis
title_sort sex-specific trends in smoking prevalence over seven years in different austrian populations: results of a time-series cross-sectional analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482469/
https://www.ncbi.nlm.nih.gov/pubmed/32907892
http://dx.doi.org/10.1136/bmjopen-2019-035235
work_keys_str_mv AT dornerthomasernst sexspecifictrendsinsmokingprevalenceoversevenyearsindifferentaustrianpopulationsresultsofatimeseriescrosssectionalanalysis
AT brathhelmut sexspecifictrendsinsmokingprevalenceoversevenyearsindifferentaustrianpopulationsresultsofatimeseriescrosssectionalanalysis
AT kautzkywilleralexandra sexspecifictrendsinsmokingprevalenceoversevenyearsindifferentaustrianpopulationsresultsofatimeseriescrosssectionalanalysis