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Table 1 Sociodemographic characteristics, cardiovascular disease morbidity, and distribution of CVD risk factors for the EPIC-Heidelberg cohort, 45-65 years of age, by sex.

From: The impact of social status inconsistency on cardiovascular risk factors, myocardial infarction and stroke in the EPIC-Heidelberg cohort

 

Men (N = 8960)

Women (N = 6070)

Exposition

  

Education, n (%)

  

   < 10 years without vocational training

154 (1.7)

399 (6.7)

   < 10 years with vocational training

3333 (37.3)

1838 (30.3)

   > = 10 years without vocational training

360 (4.0)

383 (6.3)

   > = 10 years with vocational training

1399 (15.7)

1629 (26.9)

   University

3693 (41.3)

1813 (29.9)

   Missing

21

8

Occupational position, n (%)

  

   Unskilled/semi-skilled worker, non-manuals

315 (3.6)

377 (6.3)

   Skilled manuals or white collar workers with simple task

1300 (14.7)

887 (14.8)

   White collar workers with middle task, middle level civil service

1521 (17.2)

2160 (26.1)

   Intermediates, high level civil service

4906 (55.4)

2328 (38.9)

   High qualified professional, Managerial, executive civil service

820 (9.3)

232 (3.9)

   Missing

98

86

Status inconsistency, n (%)

  

   No status inconsistency

7000 (79.2)

4965 (83.1)

   Education > Occupation

505 (5.7)

535 (9.0)

   Education < Occupation

1336 (15.1)

477 (8.0)

   Missing

119

93

Confounder

  

Age, n (%)

  

   < 50 years

4318 (48.2)

3347 (55.1)

   > = 50 years

4642 (51.8)

2723 (44.9)

   Missing

0

0

Diabetes, n (%)

  

   Yes

196 (2.2)

58 (1.0)

   No

8764 (97.8)

6012 (99.0)

   Missing

0

0

Smoking, n (%)

  

   Never, former

6810 (76.0)

4587 (75.6)

   Current

2150 (24.0)

1483 (24.4)

   Missing

0

0

BMI (kg/m 2 ), Mean (Std)

26.7 (3.6)

25.3 (4.6)

   Missing

10

1

Physical activity n (%)

  

   Moderately active, active

2438 (28.1)

2600 (45.3)

   Inactive, moderately inactive

6251 (71.9)

3139 (54.7)

   Missing

271

331