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. 2021 Dec 13;10(2):287–295. doi: 10.21106/ijma.508

Table 4.

Logistic regression analysis of the determinants of neonatal mortality, KDHS 2014.

Variables cOR C.I p-value aOR C.I P value
Residence

 Rural (ref)

  Urban 1.005 0.971

Wealth status

 Richest (ref)

  Poorest 0.741 0.191

  Poor 0.670 0.088

  Middle 0.927 0.763

  Rich 0.748 0.235

Mothers’ characteristics

Mothers’ education

 Higher (ref)

  No education 1.437 1.206-2.937 0.031* 2.202 1.43-4.15 0.049*

  Primary 0.332 0.001* 0.809 0.256

  Secondary 0.218 0.000* 0.039 0.128

Mother’s age

 <19 years 0.841 0.807

 20-29 years 1.608 0.501

 30-39 years 0.803 0.753

Birth spacing

 >2 years(ref)

  <2 years 1.001 0.997

Birth Order

 > 4th child

  First child 1.451 1.011-2.083 0.043* 0.972 0.954

  2nd or 3rd child 0.998 0.712-1.399 0.990 1.064 0.885

Child Characteristics

Sex of the child

Female (ref)

Male 0.968 0.823

Birth weight

 >NBW (ref)

  Not weighed 2.497 1.425-4.375 0.001* 2.662 1.004-7.058 0.049*

  LBW 3.582 1.467-8.748 0.005* 3.206 1.849-12.08 0.006*

  NBW 1.725 0.113 2.228 0.082-6.037 0.115

Health facility characteristics

Place. of delivery

 Home (ref)

  Facility 0.761 0.761-1.028 0.075

ANC visits

 >4ANCvisits (ref)

  No ANC visits 4.054 1.728-9.511 0.001* 3.384 1.616-8.53 0.041*

  1-3ANC visits 1.704 1.102-2.634 0.017* 2.316 1.101-4.875 0.027*

cOR= Crude Odds ratio, aOR= p=Level of significance