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Table 3 Predicates recognized in 67 paths of each task with different base and p values for the whole population

From: Application of GUHA data mining method in cohort data to explore paths associated with premature death: a 29-year follow-up study

Predicates

Total study sample

(Tasks with different Base and P value)1

Female

12paths

Male

3 paths

Task 1

7 paths

Task 2

11 paths

Task 3

7 paths

Task 4

6 paths

Task 5

21 paths

Task 6

15 paths

Total

67 paths

No musculoskeletal diseases

5

4

6

3

7

4

29

4

2

Smoked previously

7

11

6

5

8

3

40

11

2

Having symptoms that impair functioning

7

7

 

5

16

11

46

12

2

Working hours is 1–2 h

5

0

4

3

9

5

26

 

2

Intention to retire: reduced work ability due to diseases

4

8

4

1

2

0

19

6

 

Having pain

3

6

1

4

5

3

22

7

1

Male sex

2

0

1

1

2

0

6

  

Intention to retire: physical work strain

1

3

3

 

2

2

11

4

 

Poor self-rated health

 

11

  

4

8

23

 

1

Use of medication

 

5

  

5

6

16

2

 

Smoking more than 20 cigarettes

  

7

6

21

15

49

 

3

Intention to retire: mental strain at work

  

2

1

1

0

4

2

 

Not changing work due diseases

  

1

1

5

8

16

 

2

Married

    

6

1

7

  

Satisfied with life

    

10

5

15

  

Worse fitness compared to others at the same age

    

1

0

1

1

 

Detrimental factors at work: not dirty

     

3

3

  

Not having conflict in their closed relationship

       

2

 
  1. 1 Task 1: Base 400, and parameter p = 0.55, Task 2: Base 300, and parameter p = 0.70, Task 3: Base 200, and parameter p = 1, Task 4: Base 150, and parameter p = 1.2, Task 5: Base 100, and parameter p = 1.4, Task 6: Base 75, and parameter p = 1.5