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. 2022 May 25;22:358. doi: 10.1186/s12888-022-04009-8

Table 2.

The distribution and FM scores among the study population (N = 1031)

Factors FM (Low)
N = 346 (%)
FM (Medium)
N = 311 (%)
FM (High)
N = 374 (%)
FM scores F P
Gender 1.508 0.149
Male 85 (24.6%) 88 (28.3%) 124 (33.2%) 21.35 ± 5.59
Female 261 (75.4%) 223 (71.7%) 250 (66.8%) 20.82 ± 5.23
Age(y)* 5.220* 0.022.1
 < 30 106 (30.6%) 64 (20.6%) 81 (21.7%) 20.03 ± 5.79
30–39 149 (43.1%) 141 (45.3%) 181 (48.4%) 21.30 ± 5.22
 ≥ 40 91 (26.3%) 106 (34.1%) 112 (29.9%) 21.24 ± 5.05
Marital status* 16.463** 0.018
Married 227 (65.6%) 234 (75.2%) 273 (73.0%) 21.24 ± 50.1
Single/ Divorced /widowed 119 (34.4%) 77 (24.8%) 101 (27.0%) 20.30 ± 6.02
Education 1.977 0.139
Junior college course or lower 102 (29.5%) 67 (21.5%) 76 (20.3%) 20.39 ± 5.12
Bachelor degree 165 (47.7%) 160 (51.4%) 196 (52.4%) 21.10 ± 5.48
Master’s degree or higher 79 (22.8%) 84 (27.0%) 102 (27.3%) 21.24 ± 5.22
Position 1.738 0.791
Doctor 204 (59.0%) 189 (60.8%) 232 (62.0%) 20.93 ± 5.50
Nurse 142 (41.0%) 122 (39.2%) 142 (38.0%) 20.02 ± 5.09
Burnout** 6.241* 0.000
Yes 45 (13.0%) 55 (17.7%) 111 (29.7%) 23.00 ± 4.6
No 301 (87.0%) 256 (82.3%) 263 (70.3%) 20.45 ± 5.39

1 The differences were examine by Student’s t test and ANOVA. In the case of data with uneven variance, the Kruskal–Wallis nonparametric test was performed

2.1 Perform Kruskal–Wallis test

3 The Kruskal–Wallis test for Age showed the significant difference between < 30 and other groups, but had no significant difference between 30–39 and ≥ 40 group

**: P < 0.01. *: P < 0.05.1