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Table 4 Result at the health check up among Previously Healthy Adequate Reporters (the Västerbotten Intervention Program 1992-2005).1

From: Mis-reporting, previous health status and health status of family may seriously bias the association between food patterns and disease

Sex

Women

Men

Food pattern group (FPG)

(n)

Total

(9,376)

High fat

(3,398)

Tea & ice cream

(3,122)

Coffe & sandwich

(2,100)

Fruit & vegetables

(756)

Total

(8,691)

High fat

(1,790)

Tea, soda, & cookies

(4,726)

Fruit & vegetables

(2,175)

Diagnoses at health checkup (%)

         

   Elevated S-lipid levels

18.1

19.6

16.4

18.7

17.3

22.8

25.7

22.8

20.6

   Elevated blood pressure

9.2

9.1

7.8

10.5

11.8

15.9

16.1

15.6

16.4

   Diabetes

1.3

1.5

1.2

1.2

1.6

2.1

2.2

2.0

2.4

   IGT

4.7

4.8

4.8

4.6

4.6

3.3

2.4

3.7

3.2

   IFG

7.3

8.0

6.6

7.0

7.2

10.8

11.4

10.5

10.9

Perceived health (%)

         

   bad/relatively bad

6.6

6.6

7.4

5.8

6.2

4.7

5.0

4.9

4.0

   fair

20.1

20.6

20.2

20.0

19.4

19.9

22.4

19.5

19.1

   relatively good

47.2

47.8

46.9

48.6

45.5

49.9

49.0

50.7

49.6

   good

25.5

25.0

25.5

25.7

28.9

25.1

23.6

24.9

27.3

  1. Abbreviations: IGT = Impaired Glucose Tolerance; IFG = Impaired Fasting Glucose
  2. 1ANOVA and Chi-square test used to test differences between sexes and among FPGs within sex. All differences between sexes significant at P < 0.001. Among female FPGs differences in "S-lipid levels" and "Blood pressure" are significant at P < 0.01; remaining differences non-significant ("Diabetes" P = 0.55, "IGT" P = 0.97, "IFG" P = 0.17, "Perceived health" P = 0.17). Among male FPGs differences in "S-lipid levels" and "Perceived health" are significant at P < 0.01, "IGT" P = 0.03; remaining differences non-significant ("Blood pressure" P = 0.65, "Diabetes" P = 0.54, and "IFG" P = 0.49).