Table 2

Weighted regression results for differences in fertility and children between military and non-military, Kinshasa 2016

Number of birthsChild mortalityDo not want anotherLast birth unintended
Coef95% CIOR95% CIOR95% CIOR95% CI
Military −0.05 −0.31 to 0.22 0.53* 0.33 to 0.87 5.17** 2.52 to 10.62 5.19** 2.31 to 11.62
 Number of births1.16**1.05 to 1.291.55**1.31 to 1.841.43**1.23 to 1.66
 Age0.33**0.28 to 0.371.03**1.01 to 1.061.02*1.00 to 1.050.990.96 to 1.03
 Age squared−0.01**−0.00 to 0.00
 Level of education
  No education (ref.)
  Primary0.13−0.13 to 0.381.050.50 to 2.200.570.14 to 1.071.010.14 to 1.07
  Middle secondary school0.03−0.28 to 0.330.810.34 to 1.930.480.20 to 1.160.510.19 to 1.32
  Advanced secondary or higher−0.37*−0.73, to 0.020.430.16 to 1.180.390.14 to 1.070.670.23 to 1.98
 Marital status
  Married/partnered (ref.)
  Separated/divorced/widowed−0.16**−0.28 to 0.050.720.40 to 1.290.880.51 to 1.532.82**1.47 to 5.42
  Never married−1.06**−1.32 to 0.801.030.67 to 1.591.060.64 to 1.752.81*1.19 to 6.66
 Household wealth
  Quintile 1 (lowest, ref.)
  Quintile 2−0.13−0.27 to 0.010.850.48 to 1.500.940.52 to 1.630.540.20 to 1.48
  Quintile 3−0.16*−0.31 to 0.010.880.57 to 1.370.920.19 to 1.260.690.26 to 1.83
  Quintile 4−0.12−0.29 to 0.040.670.41 to 1.100.480.31 to 1.221.010.47 to 2.16
  Quintile 5 (highest)−0.23**−0.40 to 0.060.770.44 to 1.350.610.50 to 1.640.820.30 to 2.27
 N3085179528301813
  • The bold font is to emphasize the key independent variable in each table, which is the binary indicator for military camp population.

  • *P≤0.05, **p≤0.01; child mortality and last birth unintended are limited to women who have ever given birth.