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. 2022 May 28;23:507. doi: 10.1186/s12891-022-05435-1

Table 2.

Participants’ characteristics and pain catastrophizing (N = 360)

Variable n(%) Catastrophizing score Statistic
Mean ± SD t/F P
Gender Male 61 (16.9) 21.46 ± 13.40 -2.412 0.016
Female 299 (83.1) 25.63 ± 12.11
Age < 60 63 (17.5) 26.54 ± 12.58 2.355 0.096
60 ~  211 (58.6) 25.42 ± 12.21
 ≥ 70 86 (23.9) 22.51 ± 12.46
Education level Illiteracy 118 (32.8) 29.46 ± 11.33 9.934  < 0.01
Primary school 122 (33.9) 23.81 ± 12.29
Middle school 54 (15.0) 23.43 ± 12.02
High school and above 66 (18.3) 20.08 ± 12.29
Marital status Married 305 (84.7) 25.50 ± 12.43 2.088 0.038
Divorced or widowed 55 (15.3) 21.73 ± 11.70
BMI(kg/m2) < 18.5 8 (2.2) 31.00 ± 10.37 1.646 0.178
18.5 ~  117 (32.5) 26.04 ± 13.22
24 ~  160 (44.4) 24.74 ± 11.50
 ≥ 28 75 (20.8) 22.91 ± 12.84
Address Rural area 216 (60.0) 26.42 ± 12.26 -2.847 0.005
County town and Urban area 144 (40.0) 22.67 ± 12.56
Medical insurance type Own expense 5 (1.4) 27.00 ± 11.42 8.869  < 0.01
SMI and URMI 133 (36.9) 21.41 ± 12.93
NRCMI 222 (61.7) 26.98 ± 12.24
Working status Yes 94 (26.1) 20.89 ± 11.623 -3.734  < 0.01
No 266 (73.9) 26.34 ± 12.34

ANOVA analysis was used to compare the mean score of pain catastrophizing among different groups of preoperative TKA patients

SMI Staff Medical Insurance, URMI Urban Residents Medical Insurance, NRCMI New Rural Cooperative Medical Insurance