Skip to main content

Table 2 Demographic information of the study participant (N = 7716)

From: Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania

 Maternal characteristics

Low (< 7) Apgar score

Normal (≥7) Apgar score

χ2 p-value

Parity

 Nulliparous

409 (55.8)

3817 (54.66)

 

 Multiparous

324 (44.2)

3166 (45.34)

0.556

Maternal age

  < 25

273 (37.24)

2575 (36.88)

 

 25–35

361 (49.25)

3606 (51.64)

 

  > 35

99 (13.51)

802 (11.49)

0.214

Gestational age

 Term

463 (63.17)

5683 (81.38)

 

 Preterm

209 (28.51)

593 (8.49)

 

 Post term

61 (8.32)

707 (10.12)

< 0.001

PROM

 No

709 (96.73)

6829 (97.79)

 

 Yes

24 (3.27)

154 (2.21)

0.067

Gestational diabetes

 No

730 (99.59)

6974 (99.87)

 

 Yes

3 (0.41)

9 (0.13)

0.067

Prenatal visits

  < 3

296 (40.38)

1796 (25.72)

 

 3–6

365 (49.80)

3997 (57.24)

 

  > 6

72 (9.82)

1190 (17.04)

< 0.001

Induction method

 Oxytocin

591 (80.63)

6361 (91.09)

 

 Prostaglandins

142 (19.37)

622 (8.91)

< 0.001

Referred for delivery

 No

453 (61.80)

5573 (79.81)

 

 Yes

280 (38.20)

1410 (20.19)

< 0.001

Ever Use of Family planning

 No

344 (46.93)

2896 (41.47)

 

 Yes

389 (53.07)

4087 (58.53)

0.004

Smoking during pregnancy

 No

729 (99.45)

6966 (99.76)

 

 Yes

4 (0.55)

17 (0.24)

0.135

Alcohol during pregnancy

 No

550 (75.03)

4977 (71.27)

 

 Yes

183 (24.97)

2006 (28.73)

0.032

Child sex

 Female

412 (56.21)

3563 (51.02)

 

 Male

321 (43.79)

3420 (48.98)

0.008

Body mass index

 Underweight

2 (0.27)

27 (0.39)

 

 Normal

109 (14.87)

1262 (18.07)

 

 Overweight

455 (62.07)

4133 (59.19)

 

 Obese

167 (22.78)

1561 (22.35)

0.169

Epilepsy

 No

732 (99.86)

6961 (99.68)

 

 Yes

1 (0.14)

22 (0.32)

0.399

Preeclampsia

 No

717 (97.82)

6873 (98.42)

 

 Yes

16 (2.18)

110 (1.58)

0.217