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Table 4 Associated risk factors of retinal haemorrhages among healthy term new-borns in Hospital Kuala Lumpur using Simple and Multiple Logistic Regression

From: Neonatal eye screening for 203 healthy term new-borns using a wide-field digital retinal imaging system

Variables

Simple Logistic Regression

Multiple Logistic Regressiona

b

Crude OR (95% CI)

p

b

Adjusted OR (95% CI)

p

Newborns age (day of life)

−0.02

0.98 (0.80, 1.21)

0.871

   

Birth weight (g)

−0.00003

1.00 (0.999, 1.001)

0.937

   

Term

 37 wks to 38 wks 6 days

0

1

    

 39 wks to 40 wks 6 days

0.08

1.08 (0.58, 2.02)

0.813

   

 41 wks to 41 wks 6 days

0.51

1.66 (0.27, 10.35)

0.589

   

Gender

 Male

0

1

    

 Female

−0.12

0.89 (0.48, 1.64)

0.698

   

Race

 Malay

0

1

    

 Chinese

0.87

2.39 (0.76, 7.51)

0.137

   

 Indian

0.69

1.99 (0.82, 4.82)

0.127

   

 Others

0.11

1.11 (0.21, 5.96)

0.899

   

Maternal age (year)

−0.01

0.99 (0.95, 1.04)

0.778

   

Maternal gravida

 One

0

1

    

 Two

−0.38

0.69 (0.29, 1.64)

0.399

   

 Three

−0.26

0.77 (0.33, 1.82)

0.558

   

 Four

−0.05

0.95 (0.38, 2.40)

0.918

   

 Five or more

−0.31

0.74 (0.27, 2.04)

0.557

   

Mode of delivery

 LSCS

0

1

 

0

1

 

 SVD

1.23

3.43 (1.73, 6.78)

< 0.001

1.23

3.43 (1.73, 6.78)

< 0.001

  1. aMultiple Logistic Regression using Forward LR method was applied
  2. Hosmer-Lemshow test (p = 0.958), classification table (overall correctly classified percentage = 72.9%) and Nagelkerke R2 (0.140) were applied to check the model fitness