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. 2019 Jun 27;19:179. doi: 10.1186/s12877-019-1192-1

Table 2.

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

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

BMI body mass index; CI confidence interval; COPD chronic obstructive pulmonary disease

aOptimism-corrected coefficients, with shrinkage factor 0.946–0.951

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)

cSince different tests were applied in the cohorts to assess gait speed, Z-scores were calculated per cohort:

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

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