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Table 3 Regression analysis identifying factors associated with preterm mortality in Hubei Province, China (2001 – 2012)

From: Time trends and risk factor associated with premature birth and infants deaths due to prematurity in Hubei Province, China from 2001 to 2012

Covariates

Univariate analysis

OR (95 % CI)

Multivariable analysis*

OR (95 % CI)

Year

1.00 (1.00 -1.01)

----

Maternal age (<35 y vs. ≥ 35 y)

1. 32 (1. 22–1.51)

----

Gestational week (<34 week vs. ≥ 34 week)

2.76 ( 1.92 -2.99)

1.01 (1.00-1.02)

Birth weight (<2.5 kg vs. ≥ 2.5 kg)

1.07 ( 1.02 - 1.11)

1.02 (1.00-1.03)

Pregnancy parity (1 vs. ≥ 2)

1.08 (1.08 -1.11)

----

Birth parity (1 vs. ≥ 2)

1.00 (1.00 - 1.01)

----

Assisted reproductive technology

(yes vs. no)

1.13 (1.09-1.15)

----

Income (<500 USD/month vs. ≥ 500 USD/month)

1.31 (1.27 -1.39)

1.12 (1.01-1.22)

Education (>9 years vs. ≤ 9 years)

0.71 (0. 49–0. 89)

----

Residence (rural vs. urban)

1.14 ( 1.10 - 1.29)

----

Newborn Emergency Transport Service (yes vs. no)

2. 14 (2.00 - 3.02)

0.81 (0.77-0.99)

Infant gender (female vs. male)

0.67 ( 0.51 - 0.74)

----

Occupation (physical labor vs. office job)

1.18 (1.10 -1.23)

----

Single birth

0.97 (0.95 - 0.99)

----

  1. *Multivariate logistic model was fit with all characteristics considered as predictors of preterm mortality, and a backward-selection procedure was used to select significant variables included in the final model, with a P value < 0.05 indicating significance