Skip to main content
. Author manuscript; available in PMC: 2011 Sep 1.
Published in final edited form as: J Obstet Gynecol Neonatal Nurs. 2010 Sep;39(5):525–535. doi: 10.1111/j.1552-6909.2010.01169.x

Table 5.

Logistic regression models for birth outcomes

Dependent
Variables
Independent
Variables
β Std
err
χ2a Odds
Ratio
95% CI
Premature Birthb
Model 1 Maternal HN 0.08 0.13 5.94 1.1 .84 – 1.40
Model 2 Smoker 0.87 0.47 4.72 2.4 .80 – 6.71
Passive 0.84 0.54 2.3 .96 – 5.96

Immediate Newbornc
Complications
Model 1 Maternal HN 0.23* 0.12 7.69 1.26 1.00 – 1.58
Model 2 Smoker 1.02* 0.47 1.58 2.8 1.10 – 7.02
Passive 0.88* 0.4 2.4 1.09 – 5.33

RDSc
Model 1 Maternal HN 0.32* 0.13 10.5 1.4 1.06 – 1.78
Model 2 Smoker 1.36** 0.51 2.52 3.9 1.61 – 14.9
Passive 1.59** 0.57 4.89 1.45 – 10.5

NICU Admission c
Model 1 Maternal HN 0.43** 14 1.53 1.16 – 2.02
Model 2 Smoker 1.27** 0.51 11.9 3.54 2.09 – 20.4
Passive 1.88** 0.58 6.53 1.29 – 9.70
a

Note: Hosmer-Lemeshow χ2 : P

b

Note: Controlling age, education, ethnicity, gestational age, and prenatal conditions

c

Note: Controlling age, education, ethnicity, prenatal complications

*

p < .05

**

p < .01