Literature DB >> 8372490

[The effect of education and professional position on changes in cigarette smoking and alcohol consumption: results of the MONIKA Augsberg cohort study].

U Härtel1, J Stieber, U Keil.   

Abstract

This study examined the influence of educational achievement and occupational position on changes in risk behavior. Study population were 3753 men and women aged 25-64 years who were sampled by the first MONICA Augsburg Survey (Monitoring trends and determinants in cardiovascular disease). The subjects were sampled in 1984-85, were followed up for three years, and were reexamined in 1987-88. The baseline findings showed for both men and women a statistically significant inverse association between current cigarette smoking and educational level. During the follow-up period the differences between highest and lowest educational levels increased significantly among men. In 1987-88 only 21% of the best educated men were smokers compared to 38% of those with the lowest educational level. Men with low educational levels also drank more alcohol than better educated men, whereas among women those with lowest educational level drank less alcohol than the better educated. Statistically independent of education and age it was found that male civil servants and farmers had the lowest proportion of smokers in cross-sectional as well as longitudinal analyses. Among women, smoking was and remained most prevalent in simple white-collar occupations. In general, the findings indicate that the type of occupation and the actual working conditions have effects on life-style related risk factors which are in part independent of a social gradient. The results also suggest that the tendency to change unhealthy behavior is less pronounced in "high risk" groups.

Entities:  

Mesh:

Year:  1993        PMID: 8372490     DOI: 10.1007/bf01324346

Source DB:  PubMed          Journal:  Soz Praventivmed        ISSN: 0303-8408


  18 in total

1.  Relationship of social class characteristics and risk factors for coronary heart disease in West Germany.

Authors:  U Helmert; S Shea; B Herman; E Greiser
Journal:  Public Health       Date:  1990-11       Impact factor: 2.427

2.  Cross-sectional and longitudinal associations between high density lipoprotein cholesterol and women's employment.

Authors:  U Haertel; G Heiss; B Filipiak; A Doering
Journal:  Am J Epidemiol       Date:  1992-01-01       Impact factor: 4.897

3.  Smoking prohibition in the workplace and smoking cessation in the Federal Republic of Germany.

Authors:  H Brenner; A Mielck
Journal:  Prev Med       Date:  1992-03       Impact factor: 4.018

4.  Alcohol and mortality in British men: explaining the U-shaped curve.

Authors:  A G Shaper; G Wannamethee; M Walker
Journal:  Lancet       Date:  1988-12-03       Impact factor: 79.321

5.  Optimum cutoff points for biochemical validation of smoking status.

Authors:  S R Cummings; R J Richard
Journal:  Am J Public Health       Date:  1988-05       Impact factor: 9.308

6.  [Psychosocial factors and cardiovascular diseases. Current studies and initial results of the WHO Augsburg MONICA project].

Authors:  U Härtel; U Keil
Journal:  Fortschr Med       Date:  1986-12-11

7.  Wine, alcohol, platelets, and the French paradox for coronary heart disease.

Authors:  S Renaud; M de Lorgeril
Journal:  Lancet       Date:  1992-06-20       Impact factor: 79.321

8.  Educational attainment and behavioral and biologic risk factors for coronary heart disease in middle-aged women.

Authors:  K A Matthews; S F Kelsey; E N Meilahn; L H Kuller; R R Wing
Journal:  Am J Epidemiol       Date:  1989-06       Impact factor: 4.897

9.  Mortality from tobacco in developed countries: indirect estimation from national vital statistics.

Authors:  R Peto; A D Lopez; J Boreham; M Thun; C Heath
Journal:  Lancet       Date:  1992-05-23       Impact factor: 79.321

10.  Social status and coronary heart disease: results from the Scottish Heart Health Study.

Authors:  M Woodward; M C Shewry; W C Smith; H Tunstall-Pedoe
Journal:  Prev Med       Date:  1992-01       Impact factor: 4.018

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  3 in total

1.  Parental smoking and sociodemographic factors related to smoking among German medical students.

Authors:  H Brenner; S B Scharrer
Journal:  Eur J Epidemiol       Date:  1996-04       Impact factor: 8.082

2.  [Need for control in the workplace and motivation for alcohol consumption: a written survey in 3 public civil service agencies].

Authors:  W Puls
Journal:  Soz Praventivmed       Date:  1995

3.  Smoking, physical inactivity, and obesity: associations with social status.

Authors:  Thomas Lampert
Journal:  Dtsch Arztebl Int       Date:  2010-01-07       Impact factor: 5.594

  3 in total

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