Table 1 Descriptive statistics of background variables by classes.

From: Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework

Variable-frequency

Class 1

Class 2

Class 3

Class 4

Women–%

75.8%

79.6%

81.2%

73.8%

Age–M (years)

42.9

43.1

44.2

45.8

Highest education levela

    

 Primary

250 (10.7%)

534 (16.0%)

466 (13.7%)

224 (11.0%)

 Secondary

1248 (53.6%)

1988 (59.4%)

1982 (58.4%)

1140 (55.9%)

 Tertiary

829 (35.6%)

824 (24.6%)

945 (27.9%)

675 (33.1%)

Full-time employment–%

56.4%

39.3%

45.4%

58.8%

Visits to a pain clinic in the past yeara

    

 0–1 times

310 (13.2%)

152 (4.5%)

214 (6.3%)

292 (14.0%)

 2–3 times

682 (29.0%)

568 (16.7%)

767 (22.4%)

643 (30.8%)

  ≥ 4 times

1361 (57.8%)

2688 (78.9%)

2443 (71.3%)

1156 (55.3%)

Pain duration (years)–M (SD)

8.1 (9.1)

8.5 (9.2)

8.6 (9.0)

8.6 (9.9)

Social support–M (SD)b

3.74 (1.38)

4.18 (1.42)

4.40 (1.23)

4.14 (1.28)

  1. aPercentages show the proportions in each Class (i.e., column percentages).
  2. bThe theoretical range of social support is between 0 and 6.