Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional study

Abstract Background Previous studies on lifestyle risk factors mainly focused on age- or gender-specific differences. However, lifestyle risk factors also vary across regions. Aim of the present study was to examine the extent to which prevalence rates of SNAP (smoking, nutrition, alcohol consumptio...

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Main Authors: Josefine Atzendorf, Christian Apfelbacher, Elena Gomes de Matos, Kirsten Lochbühler, Daniela Piontek, Nicki-Nils Seitz, Ludwig Kraus
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-020-8352-2
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spelling doaj-c58cd3b449ee40c98381e92546da942c2020-11-25T02:57:37ZengBMCBMC Public Health1471-24582020-03-012011810.1186/s12889-020-8352-2Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional studyJosefine Atzendorf0Christian Apfelbacher1Elena Gomes de Matos2Kirsten Lochbühler3Daniela Piontek4Nicki-Nils Seitz5Ludwig Kraus6Max Planck Institute for Social Law and Social PolicyDepartment of Medical Sociology, Institute of Epidemiology and Preventive Medicine, University of RegensburgIFT Institut für TherapieforschungIFT Institut für TherapieforschungIFT Institut für TherapieforschungIFT Institut für TherapieforschungIFT Institut für TherapieforschungAbstract Background Previous studies on lifestyle risk factors mainly focused on age- or gender-specific differences. However, lifestyle risk factors also vary across regions. Aim of the present study was to examine the extent to which prevalence rates of SNAP (smoking, nutrition, alcohol consumption, physical activity) vary between East and West Germany or North and South Germany. Methods Data came from the population-representative 2015 Epidemiological Survey of Substance Abuse (ESA) comprising 9204 subjects aged 18 to 64 years. To assess an east-west or south-north gradient, two binary logistic regression models were carried out for each SNAP factor. Results The logistic regression models revealed statistically significant differences with higher rates of at-risk alcohol consumption and lower rates of unhealthy nutrition in East Germany compared to West Germany. Significant differences between North and South Germany were found for at-risk alcohol consumption with higher rates of at-risk alcohol consumption in South Germany. Daily smoking and low physical activity were equally distributed across regions. Conclusions The implementation of measures reducing at-risk alcohol consumption in Germany should take the identified east-west and south-north gradient into account. Since the prevalence of unhealthy nutrition was generally high, prevention and intervention measures should focus on Germany as a whole instead of specific regions.http://link.springer.com/article/10.1186/s12889-020-8352-2EpidemiologyLifestyle risk factorsPopulation surveyRegional differencesEast GermanyWest Germany
collection DOAJ
language English
format Article
sources DOAJ
author Josefine Atzendorf
Christian Apfelbacher
Elena Gomes de Matos
Kirsten Lochbühler
Daniela Piontek
Nicki-Nils Seitz
Ludwig Kraus
spellingShingle Josefine Atzendorf
Christian Apfelbacher
Elena Gomes de Matos
Kirsten Lochbühler
Daniela Piontek
Nicki-Nils Seitz
Ludwig Kraus
Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional study
BMC Public Health
Epidemiology
Lifestyle risk factors
Population survey
Regional differences
East Germany
West Germany
author_facet Josefine Atzendorf
Christian Apfelbacher
Elena Gomes de Matos
Kirsten Lochbühler
Daniela Piontek
Nicki-Nils Seitz
Ludwig Kraus
author_sort Josefine Atzendorf
title Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional study
title_short Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional study
title_full Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional study
title_fullStr Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional study
title_full_unstemmed Do smoking, nutrition, alcohol use, and physical activity vary between regions in Germany? - results of a cross-sectional study
title_sort do smoking, nutrition, alcohol use, and physical activity vary between regions in germany? - results of a cross-sectional study
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2020-03-01
description Abstract Background Previous studies on lifestyle risk factors mainly focused on age- or gender-specific differences. However, lifestyle risk factors also vary across regions. Aim of the present study was to examine the extent to which prevalence rates of SNAP (smoking, nutrition, alcohol consumption, physical activity) vary between East and West Germany or North and South Germany. Methods Data came from the population-representative 2015 Epidemiological Survey of Substance Abuse (ESA) comprising 9204 subjects aged 18 to 64 years. To assess an east-west or south-north gradient, two binary logistic regression models were carried out for each SNAP factor. Results The logistic regression models revealed statistically significant differences with higher rates of at-risk alcohol consumption and lower rates of unhealthy nutrition in East Germany compared to West Germany. Significant differences between North and South Germany were found for at-risk alcohol consumption with higher rates of at-risk alcohol consumption in South Germany. Daily smoking and low physical activity were equally distributed across regions. Conclusions The implementation of measures reducing at-risk alcohol consumption in Germany should take the identified east-west and south-north gradient into account. Since the prevalence of unhealthy nutrition was generally high, prevention and intervention measures should focus on Germany as a whole instead of specific regions.
topic Epidemiology
Lifestyle risk factors
Population survey
Regional differences
East Germany
West Germany
url http://link.springer.com/article/10.1186/s12889-020-8352-2
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