Skip to main content
. 2017 Jun 28;18:278. doi: 10.1186/s12891-017-1634-x

Table 1.

Demography of the included patients and fractures in both the day 0 (pre-injury) and the 1-year follow-up before and after case control matching. One-way Anova was used for statistical analysis of mean age and Pearson’s Chi-square test for distribution

Initial responders Responders after phone reminder Eventual non-responders p-value
Demography crude data
Day 0 survey Number 317 94 202
Mean age (sd) 62.2 (19.0) 56.4 (20.3) 58.5 (23.5) 0.026
Female 214 (68%) 62 (66%) 126 (62%) 0.235 (a)
Fracture before (b) 8 (2.5%) 3 (3.2%) 6 (3.0%) 0.922
Case mix (c) 48/19/7/6/4/16 52/16/13/4/4/11 44/22/10/9/4/11 0.330
1-Year survey Number 268 42 86
Mean age (sd) 61.6 (18.0) 58.8 (19.5) 56.0 (22.4) 0.056
Female 189 (71%) 27 (64%) 51 (59%) 0.048 (a)
Open fracture 8 (3.0%) 0 (0.0%) 0 (0.0%) - (d)
Fracture after (e) 15 (5.6%) 0 (0.0%) 1 (1.2%) 0.071
Case mix (c) 47/19/9/6/4/16 57/17/10/7/2/7 56/12/8/5/5/15 0.785
Initial responders Responders after phone reminder p-value
Demography data after case control matching
Day 0 survey Number 89 89
Mean age (sd) 57.1 (20.0) 56.7 (19.7) 0.889
Female 48 (54%) 59 (66%) 0.242
Fracture before (b) 0 (0.0%) (0.0%) - (d)
Case mix (c) 55/15/12/3/2/11 55/15/12/3/2/11 1.000
1-Year survey Number 36 36
Mean age (sd) 56.6 (19.7) 56.8 (19.8) 0.957
Female 23 (64%) 27 (64%) 0.971
Open fracture 2 (5.6%) 0 (0.0%) - (d)
Fracture after (e) 8 (22.2%) 0 (0.0%) 0.001
Case mix (c) 64/19/6/3/3/2 64/19/6/3/3/2 1.000

aLinear-by-linear association used because of the falling tendency

bCases with another fracture registered in the SFR within one year before the fracture

cDistribution in percentage of the most frequent diagnosis (ICD-10) in the study (S52.5/S42.2/S52.1/multiple fracture/S42.3/every other)

dStatistical analysis cannot be done due to small number

eCases with another fracture registered in the SFR within one year after the fracture