Table 2 Characteristics of the sample.

From: Importance analysis of psychosociological variables in frailty syndrome in heart failure patients using machine learning approach

Character

Total N = 666 (100%)

Frail N = 562 (84.4%)

Non-frail N = 104 (15.6%)

Gender

 Male

359 (53.9%)

295 (52.5%)

64 (61.5%)

 Female

307 (46.1%)

267 (47.5%)

40 (38.5%)

Age

 Mean; SD

72.07; 10.97

72,88; 10.97

67,68; 10.79

Relationship

 Lonely

335 (50.3%)

297 (52.8%)

38 (36.5%)

 In relationship

331 (49.7%)

265 (47.2%)

66 63.5%)

Education level

 Primary school

207 (31.1%)

190 (33.8%)

17 (16.3%)

 Basic vocational

60 (9.0%)

54 (9.6%)

6 (5.8%)

 High school

295 (44.3%)

242 (43.0%)

53 (51.0%)

 University degree

103 (15.5%)

75 (13.5%)

28 (26.9%)

Monthly income Min. mode

148 (22.2%)

118 (21.0%)

(28.8%)

 (PLN)

2101

2101

2101

Other diseases

 Diabetes

280 (42.1%)

251 (44.6%)

29 (4.3%)

 Hypertension

513 (77.1%)

442 (66.3%)

71 (10.6%)

 Both

235 (35.3%)

211 (31.7%)

24 (3.6%)

  1. SD standard deviation, N number of participants, PLN Polish zloty (EUR 1 = PLN 4.64 in 2021).