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Table 1 Characteristics of the participants (N = 15 428)

From: Mental health and preventive behaviour of pregnant women in China during the early phase of the COVID-19 period

Characteristics N (%)
Socio-demographic characteristics  
Age, years  
 19 or below 178 (1.2%)
 20 to 25 2674 (17.3%)
 26 to 30 6388 (41.4%)
 31 to 35 4628 (30.0%)
 36 to 40 1325 (8.6%)
 41 or above 235 (1.5%)
Education level  
 Primary or below 275 (1.8%)
 Junior secondary 2556 (16.6%)
 Senior secondary 2959 (19.2%)
 Matriculation 4171 (27.0%)
 Undergraduate 4553 (29.5%)
 Postgraduate or above 914 (5.9%)
Place of residence  
 Northern China  
  Liaoning 680 (4.4%)
  Beijing 1845 (12.0%)
 Eastern China  
  Shandong 3975 (25.8%)
  Zhejiang 3657 (23.7%)
 Southern China  
  Guangdong 806 (5.2%)
  Shenzhen 870 (5.6%)
  Guangxi 562 (3.6%)
  Chongqing 635 (4.1%)
 Central China  
  Henan 286 (1.9%)
  Hunan 1259 (8.2%)
 Northwest China  
  Shaanxi 525 (3.4%)
  Qinghai 327 (2.1%)
Pregnancy-related characteristics  
Parity  
 Nulliparous 8719 (56.5%)
 Primiparous 5976 (38.7%)
 Multiparous 733 (4.8%)
Gestational age M = 25.79, SD = 9.40
 1st trimester (12 weeks or below) 1467 (9.5%)
 2nd trimester (13 to 26 weeks) 6280 (40.7%)
 3rd trimester (27 weeks or above) 7681 (49.8%)
Pregnancy-related complications  
 No 14 040 (91.0%)
 Yes 1388 (9.0%)
Contextual factors  
Place of residence being locked down  
 No 6035 (39.1%)
 Yes 9393 (60.9%)
Being quarantined  
 No 14 849 (96.2%)
 Yes 579 (3.8%)
Someone they personally knew being infected  
 No 15 352 (99.5%)
 Yes 76 (.5%)
Cognitive factors  
Perception that COVID-19 will be under control in the coming month
 Certainly not 70 (.5%)
 Very small chance 180 (1.2%)
 Small chance 986 (6.4%)
 Large chance 2194 (14.2%)
 Very large chance 5974 (38.7%)
 Certainly yes 6024 (39.0%)
Perception that COVID-19 will pose long term physical harm to human
 Don’t know 5554 (36.0%)
 No 962 (6.2%)
 Yes 8912 (57.8%)
Social factor  
Social support score (mean, range 1 to 10) Mean = 8.60, SD = 2.03
  1. COVID-19 Coronavirus disease 2019, SD Standard deviation, M Mean