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Table 2 Bivariate and multivariable logistic regression model of preterm birth (N = 825)

From: The association between 2017 American College of Cardiology/American Heart Association guideline for hypertension and neonatal outcomes in Kenya: a retrospective study

Variables

Lower-level facility (n = 420)

Higher-level facility (n = 405)

CORa

(95% CI)b

AORc

(95% CI)

COR

(95% CI)

AOR

(95% CI)

Normal BPd

Ref

 

Ref

 

Ref

   

Elevated BP

0.68

(0.35–1.30)

0.67

(0.35–1.30)

1.05

(0.58–1.91)

1.18

(0.63–2.18)

Stage1 HTe

1.29

(0.73–2.30)

1.29

(0.72–2.29)

1.04

(0.58–1.85)

1.10

(0.60–2.02)

Non-severe stage 2 HT

0.62

(0.21–1.81)

0.62

(0.21–1.82)

1.02

(0.38–2.75)

0.91

(0.33–2.50)

Severe stage 2 HT

0.99

(0.16–6.04)

0.94

(0.15–5.74)

9.48

(1.04–86.27)

10.94

(1.08–110.93)

  1. The higher-level facility includes hospitals and the lower-level facility includes dispensaries and health centers. The best model for predicting preterm birth was selected by backward stepwise model selection using the lowest Akaike’s information criterion (AIC). The full model included variables of maternal blood pressure, anemia, obesity and age, preventive services and newborn sex. At the lower-level facility, the best model adjusted women’s anemia. At the higher-level facility, the best model adjusted ANC visit numbers
  2. a: Crude odds ratio
  3. b: 95% confidence interval
  4. c: Adjusted odds ratio
  5. d: Blood pressure
  6. e: Hypertension
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Tropical Medicine and Health

ISSN: 1349-4147

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