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Table 3 Variables applied to multivariate logistic regression analysis to identify the independent factors associated with the occurrence of femoral fracture at a specific site

From: The influence of ageing on the incidence and site of trauma femoral fractures: a cross-sectional analysis

Fracture site

Proximal A

Proximal B

Proximal C

Variables

coefficient

OR (95%CI)

p

coefficient

OR (95%CI)

p

coefficient

OR (95%CI)

p

Age

0.03

1.03 (1.03–1.04)

< 0.001

0.02

1.02 (1.01–1.02)

< 0.001

−0.04

0.96 (0.94–0.98)

< 0.001

Male

0.53

1.70 (1.46–1.98)

< 0.001

− 0.11

0.90 (0.78–1.04)

0.15

0.39

1.48 (0.83–2.77)

0.20

Faller

0.39

1.47 (1.22–1.77)

< 0.001

0.66

1.93 (1.61–2.31)

< 0.001

− 0.99

0.37 (0.16–0.83)

0.02

obese

−0.04

0.96 (0.77–1.19)

0.73

−0.33

0.72 (0.58–0.89)

< 0.001

0.24

1.27 (0.61–2.42)

0.50

Intercept

−3.33

0.04 (0.02–0.05)

< 0.001

−2.04

0.13 (0.09–0.18)

< 0.001

−1.78

0.17 (0.07–0.40)

< 0.001

Fracture site

Shaft

Distal

 

Variables

coefficient

OR (95%CI)

p

coefficient

OR (95%CI)

p

   

Age

−0.05

0.95 (0.95–0.96)

< 0.001

−0.02

0.98 (0.98–0.99)

< 0.001

   

Male

−0.20

0.82 (0.66–1.01)

0.07

− 0.60

0.55 (0.44–0.69)

< 0.001

   

Faller

−1.00

0.37 (0.29–0.47)

< 0.001

− 1.06

0.35 (0.27–0.45)

< 0.001

   

obese

0.28

1.32 (1.00–1.74)

0.05

0.53

1.70 (1.30–2.20)

< 0.001

   

Intercept

1.89

6.65 (4.62–9.62)

< 0.001

−0.18

0.84 (0.58–1.21)

0.35

  Â