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Table 2 Baseline characteristics of the study participants (n = 221)

From: Validation of clinical frailty scale in Chinese translation

 

n (%)

Mean, SD

Age (years old)

80.5, 7.1

Female

130 (58.8)

Education (years)

8.9, 5.0

BMI (kg/m2)

24.5, 4.0

Frailty assessment

CFS-C

 1

2 (0.9)

 2

28 (12.7)

 3

43 (19.5)

 4

69 (31.2)

 5

29 (13.1)

 6

41 (18.5)

 7

9 (4.1)

Fried frailty phenotype

 Robust

15 (7.0)

 Prefrail

86 (40.4)

 Frail

112 (52.6)

FI-CGA

0.3, 0.2

 FI-CGA ≤ 0.08

17 (7.9)

 0.08 < FI-CGA < 0.25

78 (36.5)

 FI-CGA ≥ 0.25

119 (55.6)

Elements of geriatric assessments

BI

88.4, 20.9

IADL

5.5, 2.8

MNA

11.5, 2.3

 0–7

16 (7.2)

 8–11

73 (33.0)

 12–14

132 (59.7)

MMSE

22.2, 5.8

 Abnormala

100 (45.5)

 Normala

120 (54.5)

GDS

4.8, 4.0

 < 5

120 (54.8)

 5–9

61 (27.9)

 ≥ 10

38 (17.4)

CIRS-G

11.9, 5.3

Elements of BabyBot

ASMb (kg/m2)

7.6, 1.4

 ASMb (Male)

8.7, 1.2

 ASMb (Female)

6.8, 0.8

6-m gait speed (m/s)

1.0, 0.4

TUG test (seconds)

18.4, 11.3

Hand grip (kg)

16.8, 6.9

 Hand grip (Male)

21.1, 7.1

 Hand grip (Female)

13.7, 4.7

  1. Abbreviation: SD Standard deviation, BMI Body Mass Index, CFS-C Chinese version of Clinical Frailty Scale, FI-CGA Frailty Index based on a Comprehensive Geriatric Assessment, BI Barthel Index, IADL Instrumental Activities of Daily Living, MNA Mini-Nutritional Assessment, MMSE Mini-Mental State Examination, GDS Geriatric Depression Scale, CIRS-G Cumulative Illness Rating Scale for Geriatrics, ASM Appendicular skeletal muscle mass, TUG Timed-up and go
  2. a Abnormal MMSE was defined as MMSE ≤ 23 if years of education > 2 years or MMSE ≤ 13 if years of education ≤ 2 years
  3. b ASM was adjusted using height squared