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Table 2 Correlations between emotional exhaustion level, and demographic, connectedness in networks of PHC workers

From: Could the connectedness of primary health care workers involved in social networks affect their job burnout? A cross-sectional study in six counties, Central China

Characteristics

Low

Middle

High

χ2

P

N(%)

Types of work

Doctors

83 (63.4)

19 (14.5)

29 (22.1)

4.005

0.676

Nurses

60 (57.1)

19 (18.1)

26 (24.8)

Public health workers

69 (67.6)

13 (12.7)

20 (19.6)

Village doctors

194 (59.7)

46 (14.2)

85 (26.2)

Gender

Male

230 (62.5)

39 (10.6)

99 (26.9)

12.037

0.002

Female

176 (59.7)

58 (19.7)

61 (20.7)

  

Age

≤35

99 (54.4)

30 (16.5)

53 (29.1)

7.516

0.276

36–45

164 (65.1)

34 (13.5)

54 (21.4)

  

46–55

97 (61.8)

26 (16.6)

34 (21.7)

  

≥56

46 (63.9)

7 (9.7)

19 (26.4)

  

Educational Background

Undergraduate Degree and Above

68 (54.8)

21 (16.9)

35 (28.2)

4.399

0.355

College Degree

204 (63.4)

49 (15.2)

69 (21.4)

  

High School and Below

134 (61.8)

27 (12.4)

56 (25.8)

  

Work Experiences (Years)

≤10

129 (55.6)

40 (17.2)

63 (27.2)

5.107

0.276

11–20

124 (64.2)

24 (12.4)

45 (23.3)

  

≥21

153 (64.3)

33 (13.9)

52 (21.8)

  

Monthly Income

≤2000

127 (58.0)

37 (16.9)

55 (25.1)

3.496

0.478

2001–4000

229 (64.1)

45 (12.6)

83 (23.2)

  

≥4001

50 (57.5)

15 (17.2)

22 (25.3)

  

Daily Work Hours

≤7 h

42 (76.4)

8 (14.5)

5 (9.1)

14.163

0.007

8-10 h

252 (63.2)

57 (14.3)

90 (22.6)

  

≥11 h

112 (53.6)

32 (15.3)

65 (31.1)

  

Connectedness in Advisory Networks

Low

45 (60.8)

4 (5.4)

25 (33.8)

9.469

0.050

Middle

289 (61.9)

73 (15.6)

105 (22.5)

  

High

72 (59.0)

20 (16.4)

30 (24.6)

  

Connectedness in Friendship Networks

Low

65 (59.6)

5 (4.6)

39 (35.8)

18.613

0.001

Middle

281 (60.3)

81 (17.4)

104 (22.3)

  

High

60 (68.2)

11 (12.5)

17 (19.3)