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Table 3 Multivariate logistic regression model for the onset of adverse events related to frailty

From: Factors associated with frailty in primary care: a prospective cohort study

Variable

Odds ratio

95 % CI

p-value

Age, years

1.14

1.03, 1.25

0.012

Timed Up and Go time, s

1.28

1.14, 1.44

<0.001

Polipharmacy

 No

Ref

 Yes

2.74

1.06, 7.06

0.037

Goodness-of-fit statistics

 Area under the curve: 0.822

 R squared / adjusted R squared: 0.270/ 0.384

 Hosmer-Lemeshow: p = 0.721

  1. The probability of suffering a frailty-related adverse event during the follow-up period was modelled. Adverse event: death or loss of independence defined as ≥10 % drop in Barthel’s score compared to baseline, during the follow-up, 95 % CI: 95 % confidence interval. Polypharmacy: long-term prescription of ≥ 4 drugs. The model is based on n = 50 adverse events and n = 118 positive events due to 1 missing value in TUG test