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Table 4 Score chart for calculating individual risk scores derived from the prediction model

From: Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies

Item

Categories

Risk score

Population (cohort)

British (ELSA)

4

Dutch (LASA)

1

German (ActiFE-ULM)

4

Italian (InCHIANTI)

0

Age

65 years

0

66 years

1

76 years

2

68 years

3

69 years

4

70 years

5

71 years

6

72 years

7

73 years

8

74 years

9

75 years

10

Cardiovascular disease

No

0

Yes

7

Diabetes mellitus

No

0

Yes

6

COPD

No

0

Yes

11

Arthritis

No

0

Yes

5

Depressive symptoms

No

0

Yes

10

BMI

< 25 kg/m2

0

25–29.99 kg/m2

7

≥30 kg/m2

16

Handgrip strength

≤20 kg

7

20.01–30 kg

5

30.01–40 kg

3

> 40 kg

0

Z score gait speeda

< −1.5

17

−1.5- −0.5

13

-0.5-0.5

9

0.5–1.5

5

> 1.5

0

Time 5 repeated chair stands

≤10.7 s

0

10.71–12.9 s

7

> 12.9 s

17

Converted value time 5 repeated chair standsb

< 0.485

7

0.485–2.091

6

> 2.091

0

Total risk score = sum of risk scores for all items

  1. aZ-score can be calculated depending on population: ZActiFE-ULM = (m/s–1.12)/0.27; ZELSA = (m/s–0.97)/0.26; ZInCHIANTI = (m/s–1.29)/0.20; ZLASA = (m/s–0.95)/0.24
  2. bTime of 5 repeated chair stands show a non-linear association. Converted value can be calculated with time for five repeated chair stands: ((chair stand in s-7.73)3–1.73*(chair stand in s-10.60)3 + 0.73*(chair stand in s-14.53)3)/46.24. Values for the cubic terms should be converted to zero if < 0