Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary

Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came...
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Autor*in:	Leinsalu, Mall [verfasserIn] Kaposvári, Csilla Kunst, Anton E

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	Tobacco Consumption Smoking Initiation Lower Socioeconomic Group Time High Odds Smoking Cessation Service

Anmerkung:	© Leinsalu et al; licensee BioMed Central Ltd. 2011

Übergeordnetes Werk:	Enthalten in: BMC public health - London : BioMed Central, 2001, 11(2011), 1 vom: 13. Feb.
Übergeordnetes Werk:	volume:11 ; year:2011 ; number:1 ; day:13 ; month:02

Links:	Volltext

DOI / URN:	10.1186/1471-2458-11-97

Katalog-ID:	SPR02785325X

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245	1	0	\|a Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary
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520			\|a Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates.
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allfields	10.1186/1471-2458-11-97 doi (DE-627)SPR02785325X (SPR)1471-2458-11-97-e DE-627 ger DE-627 rakwb eng Leinsalu, Mall verfasserin aut Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Leinsalu et al; licensee BioMed Central Ltd. 2011 Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. Tobacco Consumption (dpeaa)DE-He213 Smoking Initiation (dpeaa)DE-He213 Lower Socioeconomic Group (dpeaa)DE-He213 Time High Odds (dpeaa)DE-He213 Smoking Cessation Service (dpeaa)DE-He213 Kaposvári, Csilla aut Kunst, Anton E aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 13. Feb. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:13 month:02 https://dx.doi.org/10.1186/1471-2458-11-97 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2011 1 13 02
spelling	10.1186/1471-2458-11-97 doi (DE-627)SPR02785325X (SPR)1471-2458-11-97-e DE-627 ger DE-627 rakwb eng Leinsalu, Mall verfasserin aut Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Leinsalu et al; licensee BioMed Central Ltd. 2011 Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. Tobacco Consumption (dpeaa)DE-He213 Smoking Initiation (dpeaa)DE-He213 Lower Socioeconomic Group (dpeaa)DE-He213 Time High Odds (dpeaa)DE-He213 Smoking Cessation Service (dpeaa)DE-He213 Kaposvári, Csilla aut Kunst, Anton E aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 13. Feb. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:13 month:02 https://dx.doi.org/10.1186/1471-2458-11-97 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2011 1 13 02
allfields_unstemmed	10.1186/1471-2458-11-97 doi (DE-627)SPR02785325X (SPR)1471-2458-11-97-e DE-627 ger DE-627 rakwb eng Leinsalu, Mall verfasserin aut Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Leinsalu et al; licensee BioMed Central Ltd. 2011 Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. Tobacco Consumption (dpeaa)DE-He213 Smoking Initiation (dpeaa)DE-He213 Lower Socioeconomic Group (dpeaa)DE-He213 Time High Odds (dpeaa)DE-He213 Smoking Cessation Service (dpeaa)DE-He213 Kaposvári, Csilla aut Kunst, Anton E aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 13. Feb. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:13 month:02 https://dx.doi.org/10.1186/1471-2458-11-97 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2011 1 13 02
allfieldsGer	10.1186/1471-2458-11-97 doi (DE-627)SPR02785325X (SPR)1471-2458-11-97-e DE-627 ger DE-627 rakwb eng Leinsalu, Mall verfasserin aut Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Leinsalu et al; licensee BioMed Central Ltd. 2011 Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. Tobacco Consumption (dpeaa)DE-He213 Smoking Initiation (dpeaa)DE-He213 Lower Socioeconomic Group (dpeaa)DE-He213 Time High Odds (dpeaa)DE-He213 Smoking Cessation Service (dpeaa)DE-He213 Kaposvári, Csilla aut Kunst, Anton E aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 13. Feb. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:13 month:02 https://dx.doi.org/10.1186/1471-2458-11-97 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2011 1 13 02
allfieldsSound	10.1186/1471-2458-11-97 doi (DE-627)SPR02785325X (SPR)1471-2458-11-97-e DE-627 ger DE-627 rakwb eng Leinsalu, Mall verfasserin aut Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Leinsalu et al; licensee BioMed Central Ltd. 2011 Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. Tobacco Consumption (dpeaa)DE-He213 Smoking Initiation (dpeaa)DE-He213 Lower Socioeconomic Group (dpeaa)DE-He213 Time High Odds (dpeaa)DE-He213 Smoking Cessation Service (dpeaa)DE-He213 Kaposvári, Csilla aut Kunst, Anton E aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 13. Feb. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:13 month:02 https://dx.doi.org/10.1186/1471-2458-11-97 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2011 1 13 02
language	English
source	Enthalten in BMC public health 11(2011), 1 vom: 13. Feb. volume:11 year:2011 number:1 day:13 month:02
sourceStr	Enthalten in BMC public health 11(2011), 1 vom: 13. Feb. volume:11 year:2011 number:1 day:13 month:02
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Tobacco Consumption Smoking Initiation Lower Socioeconomic Group Time High Odds Smoking Cessation Service
isfreeaccess_bool	true
container_title	BMC public health
authorswithroles_txt_mv	Leinsalu, Mall @@aut@@ Kaposvári, Csilla @@aut@@ Kunst, Anton E @@aut@@
publishDateDaySort_date	2011-02-13T00:00:00Z
hierarchy_top_id	326643583
id	SPR02785325X
language_de	englisch
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author	Leinsalu, Mall
spellingShingle	Leinsalu, Mall misc Tobacco Consumption misc Smoking Initiation misc Lower Socioeconomic Group misc Time High Odds misc Smoking Cessation Service Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary
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topic_title	Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary Tobacco Consumption (dpeaa)DE-He213 Smoking Initiation (dpeaa)DE-He213 Lower Socioeconomic Group (dpeaa)DE-He213 Time High Odds (dpeaa)DE-He213 Smoking Cessation Service (dpeaa)DE-He213
topic	misc Tobacco Consumption misc Smoking Initiation misc Lower Socioeconomic Group misc Time High Odds misc Smoking Cessation Service
topic_unstemmed	misc Tobacco Consumption misc Smoking Initiation misc Lower Socioeconomic Group misc Time High Odds misc Smoking Cessation Service
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title	Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary
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title_full	Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary
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title_sort	is income or employment a stronger predictor of smoking than education in economically less developed countries? a cross-sectional study in hungary
title_auth	Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary
abstract	Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. © Leinsalu et al; licensee BioMed Central Ltd. 2011
abstractGer	Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. © Leinsalu et al; licensee BioMed Central Ltd. 2011
abstract_unstemmed	Background In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. © Leinsalu et al; licensee BioMed Central Ltd. 2011
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title_short	Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary
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Is income or employment a stronger predictor of smoking than education in economically less developed countries? A cross-sectional study in Hungary

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