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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.