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Table 4 Statistical significant variables affecting the risk of low functional result at pre-injury and 1-year PROMs. Logistic regression was used with mean as well as median value on SFMA dysfunction index and arm/hand sub index as cut off on dichotomized data

From: Evaluating non-responders of a survey in the Swedish fracture register: no indication of different functional result

Preinjury Survey

Variable

Odds Ratio

95% CI

Arm/hand mean

Age

1.06a

1.04–1.09

ICD-10 (S42.3)

5.25b

1.39–19.8

Arm/hand median

Age

1.08a

1.06–1.10

Dysfunction mean

Age

1.05a

1.03–1.07

Earlier fracture

5.22

1.09–25.1

Dysfunction median

Age

1.05b

1.04–1.06

Responding after phone reminder

1.87

1.10–3.18

One year Survey

Variable

Odds Ratio

95% CI

Arm/hand mean

Age

1.03a

1.003–1.05

Preinjury SMFA dysfunction

1.08a

1.06–1.11

ICD-10 (multipel)

3.51b

1.03–12.0

Arm/hand median

Age

1.03a

1.01–1.05

Preinjury SMFA dysfunction

1.09a

1.06–1.12

ICD-10 (S42.3)

28.0b

2.63–298

Dysfunction mean

Age

1.03a

1.01–1.05

Preinjury SMFA dysfunction

1.12a

1.08–1.15

ICD-10 (S42.3)

25.1b

3.33–189

ICD-10 (every other)

2.58b

1.05–6.37

Dysfunction median

Age

1.02a

1.001–1.03

Preinjury SMFA dysfunction

1.09a

1.06–1.12

ICD-10 (S52.1)

4.51b

1.23–16.5

ICD-10 (S42.3)

16.5b

1.69–161

  1. aFor every year/point higher age/score
  2. bS52.5 used as a reference