Skip to main content

Table 2 Characteristics of study participants

From: Pre-pregnancy body mass index and gestational weight gain and their effects on pregnancy and birth outcomes: a cohort study in West Sumatra, Indonesia

Maternal characteristics

Participants with delivery data

Participants without delivery data

P value

Mean (±standard deviation)

n

Mean (±standard deviation)

n

Height (cm)

153.4(±5.6)

581

154.2 (±5.4)

371

0.024

Pre-pregnancy weight (kg)

50.2 (±9.1)

563

50.9 (±9.1)

381

0.270

Pre-pregnancy BMI (kg/m2)

21.3 (±3.5)

548

21.3 (±3.5)

353

0.847

Gestational weight gain

10.2 (±6.0)

544

9.3 (±6.5)

21

0.511

Gestational age at delivery (weeks)

39.3 (±2.6)

217

–

–

–

 

N (%)

 

N (%)

  

Maternal age (years):

  < 20

16 (2.7)

603

11 (2.7)

405

0.778

 20–24

132 (21.9)

 

77 (19.0)

  

 25–29

213 (35.3)

 

143 (35.3)

  

 30–34

152 (25.2)

 

114 (28.1)

  

  > =35

90 (14.9)

 

60 (14.8)

  

Nulliparous

209 (34.5)

606

139 (34.8)

400

0.932

Educational level - woman:

 Elementary school

101 (16.7)

606

40 (9.9)

404

0.013

 Junior High school

141 (23.3)

 

93 (23.0)

  

 Senior High School

282 (46.5)

 

201 (49.8)

  

 Higher education

82 (13.5)

 

70 (17.3)

  

Occupationa - woman

 Unemployed, student or housewife

445 (74.4)

598

302 (75.5)

400

0.054

 Self-employed, trader, services

54 (9.0)

 

31 (7.8)

  

 Government employee (civil servant, police, army)

43 (7.2)

 

41 (10.3)

  

 Private or state owned enterprise employee

21 (3.5)

 

16 (4.0)

  

 Other - ie services, agriculture, labourer

35 (5.9)

 

10 (2.5)

  

Occupationa - partner

 Unemployed, student or housewife

12 (2.0)

599

7 (1.8)

400

0.000

 Self-employed, trader, services

412 (68.8)

 

299 (74.8)

  

 Government employee (civil servant, police, army)

47 (7.8)

 

37 (9.3)

  

 Private or state owned enterprise employee

42 (7.0)

 

38 (9.5)

  

 Other - ie agriculture, labourer

86 (14.4)

 

19 (4.8)

  
  1. ANOVA used for continuous data
  2. Chi square used for categorical data
  3. aOccupation categorised according to Riset Kesehatan Dasar (RISKESDAS) {Basic Health Research} (2007) [47]