Skip to main content

Table 5 Changes in infant mortality rate had each time period experienced the same value of explanatory variables

From: In search for an explanation to the upsurge in infant mortality in Kenya during the 1988–2003 period

Characteristic

Mean values for 1988-95

Mean values for 1996-03

β’s for 1988-95

β’s for 1996-03

Change in IMR if 1988/95 had the same mean value of this variable as the 1996/03 period

Change in IMR if 1996/03 had the same mean value of this variable as the 1988/95 time period

Maternal factors

      

Maternal age at child birth (D)

1.672

1.688

0.011

−0.077

−0.010

−0.080

Baby size at birth (D)

0.818

0.816

−0.122

−0.0568

−0.014

0.007

Duration of breastfeeding (D)

0.81

0.908

0.858

3.053

−4.838

19.375

Preceding birth interval (D)

0.699

0.736

−0.294

−0.373

0.626

−0.894

Maternal health-seeking behaviour

      

Place of delivery (D)

0.624

0.593

0.284

0.207

0.507

−0.416

Tetanus Toxoid (D)

0.883

0.867

−0.251

−0.174

−0.231

0.180

Socio-economic factors

      

Paternal education (years)

5.471

5.789

0.005

0.011

−0.091

0.227

Source of water (D)

0.268

0.299

0.075

−0.31

−0.134

−0.622

Type of Toilet Facility (D)

0.795

0.812

−0.399

0.082

0.390

0.090

Maternal education (Years)

5.149

5.49

−0.057

−0.019

1.118

−0.420

Ethnicity (D)

0.867

0.882

−0.146

0.096

0.126

0.093

Household Wealth Index (D)

0.558

0.58

−0.373

−0.177

0.472

−0.252

Community level factors

      

HIV regional status (D)

1.364

1.429

0.829

0.899

−3.101

3.784

Malaria endemic region (D)

0.345

0.421

−1.21

−1.405

5.292

−6.915

Sum

    

0.112

14.159

IMR

0.0613

0.0696

    

P*(1-P)

0.0575

0.0648

    
  1. Notes: D denotes dichotomous variable. Source: Primary analysis of the merged KDHS dataset 1993–2003.
  2. Source: Primary analysis of the merged KDHS dataset 1993–2003.