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

Reiss K, Sauzet O, Breckenkamp J, Spallek J, Razum O - BMC Public Health (2014)

Bottom Line: The effects for Turkish women were similar, but smaller and often non-significant.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Epidemiology & International Public Health, Bielefeld School of Public Health (BiSPH), Bielefeld University, P,O, Box 10 01 31, 33501 Bielefeld, Germany. katharina.reiss@uni-bielefeld.de.

ABSTRACT

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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Related in: MedlinePlus

Comparison of age standardised smoking prevalences (in%) between Turkish and Non-Turkish participants in the Netherlands/Turkish and Non-Turkish participants in Germany (within-country-comparison).
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Fig3: Comparison of age standardised smoking prevalences (in%) between Turkish and Non-Turkish participants in the Netherlands/Turkish and Non-Turkish participants in Germany (within-country-comparison).

Mentions: The comparison of the age standardised smoking prevalences within Germany and the Netherlands revealed significantly higher prevalences among Turkish men than among non-Turkish men (see FigureĀ 3). Prevalences among women with higher education indicated a similar pattern, but the difference was not significant. Among women with lower education the contrary became apparent: non-Turkish women had a significantly higher smoking prevalence than Turkish women. These patterns apply both to Germany and the Netherlands.Table 2


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

Reiss K, Sauzet O, Breckenkamp J, Spallek J, Razum O - BMC Public Health (2014)

Comparison of age standardised smoking prevalences (in%) between Turkish and Non-Turkish participants in the Netherlands/Turkish and Non-Turkish participants in Germany (within-country-comparison).
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4150979&req=5

Fig3: Comparison of age standardised smoking prevalences (in%) between Turkish and Non-Turkish participants in the Netherlands/Turkish and Non-Turkish participants in Germany (within-country-comparison).
Mentions: The comparison of the age standardised smoking prevalences within Germany and the Netherlands revealed significantly higher prevalences among Turkish men than among non-Turkish men (see FigureĀ 3). Prevalences among women with higher education indicated a similar pattern, but the difference was not significant. Among women with lower education the contrary became apparent: non-Turkish women had a significantly higher smoking prevalence than Turkish women. These patterns apply both to Germany and the Netherlands.Table 2

Bottom Line: The effects for Turkish women were similar, but smaller and often non-significant.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Epidemiology & International Public Health, Bielefeld School of Public Health (BiSPH), Bielefeld University, P,O, Box 10 01 31, 33501 Bielefeld, Germany. katharina.reiss@uni-bielefeld.de.

ABSTRACT

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.

Show MeSH
Related in: MedlinePlus