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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Matern Child Health J. 2019 Apr;23(4):530–537. doi: 10.1007/s10995-018-2667-y

TABLE 1:

Maternal characteristics of sexually active 24-week post-partum women in Kinshasa, Democratic Republic of Congo (n = 522)

Reported action to prevent pregnancy (n = 251) Did not report any action to prevent pregnancy (n = 271)
Age (median, IQR) 27 (23, 32) 28 (24, 32)
 Less than 20 years old 21 (8.4%) 15 (5.5%)
 20–29 134 (53.4%) 149 (55.0%)
 30+ 96 (38.2%) 107 (39.5%)
Education
 Less than primary 170 (67.7%) 179 (66.1%)
 Primary or Higher 81 (32.3%) 92 (33.9%)
SES*
 Fifth 48 (19.3%) 62 (23.2%)
 Fourth 55 (22.1%) 57 (21.3%)
 Third 47 (18.9%) 50 (18.7%)
 Second 51 (20.5%) 42 (15.7%)
 First 48 (19.3%) 56 (21.0%)
 Missing 2 4
Marital Status
 Married / live-in boyfriend 233 (93.2%) 260 (95.9%)
 Never married / separated / 17 (6.8%) 11 (4.1%)
 divorced
 Missing 1 0
Previous births
 First birth 53 (21.1%) 43 (15.9%)
 Second or subsequent birth 198 (78.9%) 228 (84.1%)
Wants additional children
 Yes 224 (89.2%) 235 (87.0%)
 No 27 (10.8%) 35 (13.0%)
 Missing 0 1
Menstrual cycle returned
 Yes 101 (40.9%) 182 (67.2%)
 No 146 (59.1%) 89 (32.8%)
 Missing 4 0

IQR: interquartile range, SES: socio-economic status. Data comes from women enrolled in a breastfeeding promotional trial in the DRC between May 24 and August 25, 2012. To be eligible, women had to have a singleton birth at study enrollment and consented to be part of the trial. Twenty-three women did not have a response to this question.

*

SES is wealth index score divided into quintiles. To determine the SES measure, the average number of household members per room (indication of crowding), number of sleeping beds in household, household water source (communal or private pipe), cooking fuel type (electric stove or wood/charcoal), and ownership of durable assets (radio, refrigerator, mobile phone, television) were included in principal component analysis. The first component explained 20.2% of the variability in the data.