Table 3

Weighted logistic regression results for differences in family planning use for military, Kinshasa 2016

Using contraceptionModern contraceptionTraditional contraceptionObtained desired method
OR95% CIOR95% CIOR95% CIOR95% CI
Military 0.24** 0.11 to 0.53 0.25* 0.08 to 0.79 0.41** 0.24 to 0.71 0.14** 0.03 to 0.64
 Number of births1.29**1.17 to 1.431.16**1.05 to 1.281.22**1.13 to 1.320.980.80 to 1.20
 Age1.53**1.43 to 1.641.23**1.14 to 1.321.60**1.46 to 1.750.990.77 to 1.28
 Age quadratic0.99**0.99 to 0.990.99**0.99 to 0.990.99**0.99 to 0.991.000.99 to 1.00
 Level of education
  No education (ref.)
  Primary1.680.75 to 3.780.700.35 to 1.413.41*1.24 to 9.331.590.25 to 9.95
  Middle secondary school2.33*1.03 to 5.271.160.55 to 2.453.42*1.30 to 9.001.690.27 to 10.63
  Advanced secondary or higher3.16**1.33 to 7.531.550.65 to 3.713.98**1.44 to 11.021.130.16 to 8.00
 Marital status
  Married/partnered (ref.)
  Separated/divorced/widowed0.45**0.27 to 0.750.41*0.20 to 0.810.740.46 to 1.190.770.35 to 1.71
  Never married1.52*1.10 to 2.111.160.83 to 1.631.55**1.12 to 2.131.340.75 to 2.39
 Household wealth
  Quintile 1 (lowest, ref.)
  Quintile 20.910.45 to 1.831.270.70 to 2.300.730.41 to 1.300.460.13 to 1.70
  Quintile 30.820.41 to 1.661.170.57 to 2.380.680.41 to 1.140.450.11 to 1.77
  Quintile 40.990.47 to 2.111.290.60 to 2.790.810.50 to 1.330.280.07 to 1.18
  Quintile 5 (highest)0.680.34 to 1.340.960.48 to 1.930.620.36 to 1.070.32*0.08 to 0.92
 N3072307230721322
  • 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; analysis for obtaining desired method is limited to women currently using contraception.