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How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands

BACKGROUND: Smoking behaviour among immigrants is assumed to converge to that of the host country’s majority population with increasing duration of stay. We compared smoking prevalence among Turkish immigrants residing in two different countries (Germany (DE)/the Netherlands (NL)) between and within...

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Autores principales: Reiss, Katharina, Sauzet, Odile, Breckenkamp, Jürgen, Spallek, Jacob, Razum, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150979/
https://www.ncbi.nlm.nih.gov/pubmed/25124365
http://dx.doi.org/10.1186/1471-2458-14-844
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author Reiss, Katharina
Sauzet, Odile
Breckenkamp, Jürgen
Spallek, Jacob
Razum, Oliver
author_facet Reiss, Katharina
Sauzet, Odile
Breckenkamp, Jürgen
Spallek, Jacob
Razum, Oliver
author_sort Reiss, Katharina
collection PubMed
description BACKGROUND: Smoking behaviour among immigrants is assumed to converge to that of the host country’s majority population with increasing duration of stay. We compared smoking prevalence among Turkish immigrants residing in two different countries (Germany (DE)/the Netherlands (NL)) between and within countries by time spent in Turkey and DE/NL. METHODS: The German 2009 micro-census and the Dutch POLS database (national survey, 1997–2004) were analysed. An interaction variable with dichotomised length of stay (LOS) in Turkey (age: 0–17; 18+) and categorised LOS in the host country (immigration year: 1979 and earlier, 1980–1999, 2000–2009; the latter only for Germany) was generated. Age standardised smoking prevalences and sex-specific logistic regression models were calculated. RESULTS: 6,517 Turkish participants were identified in Germany, 2,106 in the Netherlands. Age-standardised smoking prevalences were higher among Turkish immigrants in the Netherlands compared to those in Germany: 62.3% vs. 53.1% (men/lower education); 30.6% vs. 23.0% (women/lower education). A similar trend was observed for the majority population of both countries. The chance of being a smoker was lower among Turkish men with short LOS in Turkey and middle LOS in Germany/the Netherlands compared to those with short LOS in Turkey and long LOS in Germany/the Netherlands (NL: OR = 0.57[95% CI = 0.36-0.89]; DE: OR = 0.73[95% CI = 0.56-0.95]). Contrary to that, the chance of being a smoker was higher among Turkish men with long LOS in Turkey and middle LOS in Germany/the Netherlands compared to those with long LOS in Turkey and long LOS in Germany/the Netherlands (NL: OR = 1.35[95% CI = 0.79-2.33]; DE: OR = 1.44[95% CI = 1.03-2.02]). The effects for Turkish women were similar, but smaller and often non-significant. CONCLUSION: Turkish immigrants adapt their smoking behaviour towards that of the Dutch/German majority population with increasing duration of stay. This was particularly obvious among those who left Turkey before the age of 18 years – a group that needs tailored interventions to prevent further increases in smoking. Those who left Turkey as adults and spent a short time in the host countries show ‘imported’ smoking patterns. A limitation of this study is the use of cross-sectional data: a cohort effect cannot be ruled out. Our findings have to be confirmed with longitudinal data.
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spelling pubmed-41509792014-09-03 How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands Reiss, Katharina Sauzet, Odile Breckenkamp, Jürgen Spallek, Jacob Razum, Oliver BMC Public Health Research Article BACKGROUND: Smoking behaviour among immigrants is assumed to converge to that of the host country’s majority population with increasing duration of stay. We compared smoking prevalence among Turkish immigrants residing in two different countries (Germany (DE)/the Netherlands (NL)) between and within countries by time spent in Turkey and DE/NL. METHODS: The German 2009 micro-census and the Dutch POLS database (national survey, 1997–2004) were analysed. An interaction variable with dichotomised length of stay (LOS) in Turkey (age: 0–17; 18+) and categorised LOS in the host country (immigration year: 1979 and earlier, 1980–1999, 2000–2009; the latter only for Germany) was generated. Age standardised smoking prevalences and sex-specific logistic regression models were calculated. RESULTS: 6,517 Turkish participants were identified in Germany, 2,106 in the Netherlands. Age-standardised smoking prevalences were higher among Turkish immigrants in the Netherlands compared to those in Germany: 62.3% vs. 53.1% (men/lower education); 30.6% vs. 23.0% (women/lower education). A similar trend was observed for the majority population of both countries. The chance of being a smoker was lower among Turkish men with short LOS in Turkey and middle LOS in Germany/the Netherlands compared to those with short LOS in Turkey and long LOS in Germany/the Netherlands (NL: OR = 0.57[95% CI = 0.36-0.89]; DE: OR = 0.73[95% CI = 0.56-0.95]). Contrary to that, the chance of being a smoker was higher among Turkish men with long LOS in Turkey and middle LOS in Germany/the Netherlands compared to those with long LOS in Turkey and long LOS in Germany/the Netherlands (NL: OR = 1.35[95% CI = 0.79-2.33]; DE: OR = 1.44[95% CI = 1.03-2.02]). The effects for Turkish women were similar, but smaller and often non-significant. CONCLUSION: Turkish immigrants adapt their smoking behaviour towards that of the Dutch/German majority population with increasing duration of stay. This was particularly obvious among those who left Turkey before the age of 18 years – a group that needs tailored interventions to prevent further increases in smoking. Those who left Turkey as adults and spent a short time in the host countries show ‘imported’ smoking patterns. A limitation of this study is the use of cross-sectional data: a cohort effect cannot be ruled out. Our findings have to be confirmed with longitudinal data. BioMed Central 2014-08-14 /pmc/articles/PMC4150979/ /pubmed/25124365 http://dx.doi.org/10.1186/1471-2458-14-844 Text en © Reiss et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Reiss, Katharina
Sauzet, Odile
Breckenkamp, Jürgen
Spallek, Jacob
Razum, Oliver
How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands
title How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands
title_full How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands
title_fullStr How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands
title_full_unstemmed How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands
title_short How immigrants adapt their smoking behaviour: comparative analysis among Turkish immigrants in Germany and the Netherlands
title_sort how immigrants adapt their smoking behaviour: comparative analysis among turkish immigrants in germany and the netherlands
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150979/
https://www.ncbi.nlm.nih.gov/pubmed/25124365
http://dx.doi.org/10.1186/1471-2458-14-844
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