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Table 2 Final model developed in pooled data of 65–75 year old people from the four cohorts (n = 2560)

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

Predictor

Betaa

Odds ratioa

95%CIa

Likelihood ratio test p-value

Intercept ActiFE-ULM

−9.273

   

Intercept ELSA

−9.285

   

Intercept InCHIANTI

−9.528

   

Intercept LASA

−9.440

   

Sociodemographic variables

 Age, years

0.065

1.07

(1.03–1.10)

< 0.001

Lifestyle and clinical variables

 BMI, kg/m2

0.086

1.09

(1.06–1.12)

< 0.001

 Cardiovascular disease

0.470

1.60

(1.24–2.01)

< 0.001

 Diabetes

0.396

1.49

(1.06–2.09)

0.018

 COPD

0.704

2.02

(1.37–2.98)

< 0.001

 Arthritis

0.351

1.42

(1.14–1.77)

0.001

 Depressive symptomsb

0.642

1.90

(1.43–2.53)

< 0.001

Physical performance variables

 Handgrip strength, kg

−0.015

0.99

(0.98–1.00)

0.002

 Z-score gait speedc

−0.286

0.75

(0.67–0.84)

< 0.001

 Chair stands, s (linear)

0.125

1.13

(1.03–1.25)

< 0.001

 Chair stands, s (spline) d

−0.063

0.94

(0.85–1.04)

< 0.001

  1. BMI body mass index; CI confidence interval; COPD chronic obstructive pulmonary disease
  2. aOptimism-corrected coefficients, with shrinkage factor 0.946–0.951
  3. bDefined by validated cutoff score for Center for Epidemiologic Studies-Depression scale [25] (in ELSA, InCHIANTI, LASA) and Hospital Anxiety and Depression Scale-Depression subscale [26] (in ActiFE-ULM)
  4. cSince different tests were applied in the cohorts to assess gait speed, Z-scores were calculated per cohort:
  5. 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
  6. dBeta for spline function can be applied by converting chair stands times using 10th, 50th, 90th percentiles of chair stands scores as knot locations: ((chairstand-7.73)3–1.73*(chairstand-10.60)3 + 0.73*(chairstand-14.53)3)/46.24. Values for the cubic terms were converted to zero if < 0