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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)