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Table 1 Basic characteristics of the study subjects

From: Difficulties encountered by public health workers in COVID-19 outbreak: a cross-sectional study based on five provinces

 

Total

Primary-rural

Primary-urban

Non-primary

P value

Sample size

9475

3786

2561

3128

 

Age (y)

38.656 ± 9.704

39.891 ± 10.123

36.381 ± 9.031

39.022 ± 9.395

< 0.001

Sex

     

  Male

3378 (35.65)

1511 (39.91)

557 (21.75)

1310 (41.88)

< 0.001

  Female

6097 (64.35)

2275 (60.09)

2004 (78.25)

1818 (58.12)

 

Child status

     

  Absence

2161 (22.81)

621 (16.40)

776 (30.30)

764 (24.42)

< 0.001

  Primary school and below

3877 (40.92)

1386 (36.61)

1201 (46.90)

1290 (41.24)

 

  Junior high school and above

3437 (36.27)

1779 (46.99)

584 (22.80)

1074 (34.34)

 

Job title

     

  Primary and below

5822 (61.45)

2945 (77.79)

1450 (56.62)

1427 (45.62)

< 0.001

  Intermediate

2682 (28.31)

718 (18.96)

930 (36.31)

1034 (33.06)

 

  Advanced

971 (10.25)

123 (3.25)

181 (7.07)

667 (21.32)

 

Province

    

< 0.001

  Sichuan

3360 (35.46)

1812 (47.86)

610 (23.82)

938 (29.99)

 

  Guangdong

2812 (29.68)

455 (12.02)

1559 (60.87)

798 (25.51)

 

  Jiangsu

1227 (12.95)

564 (14.90)

193 (7.54)

470 (15.03)

 

  Hubei

1401 (14.79)

893 (23.59)

135 (5.27)

373 (11.92)

 

  Gansu

675 (7.12)

62 (1.64)

64 (2.50)

549 (17.55)

 
  1. Note: Continuous variables are expressed as mean ± standard deviation and categorical variables are expressed as frequencies (proportions)