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. 2022 Jul 8;13:839173. doi: 10.3389/fpsyt.2022.839173

Table 5.

Prediction of risk factors by regression analysis.

Dependent variablesa Independent variables B SE Beta (β) T P R2
PASS PCS Total 1.055 0.117 0.678 9.025 <0.001 0.605
Sexb −6.393 2.613 −0.169 −2.447 0.016
Monthly Incomec 7.422 2.730 0.194 2.719 0.008
BDI Totald 0.330 0.124 0.204 2.662 0.009
PCS BDI Total 0.271 0.103 0.261 2.646 0.010 0.531
Course of diseasee 7.762 2.567 0.291 3.024 0.003
Course of diseasee 7.762 2.567 0.291 3.024 0.003
Years of educationf −5.795 2.262 −0.240 −2.562 0.012
PI-NRS 0.712 0.339 0.156 2.098 0.039
a

Dependent variables: PASS, Pain Anxiety Symptoms Scale; PCS, Pain Catastrophizing Scale; PI-NRS, pain intensity numerical rating scale.

b

Sex; 1, female; 2, male.

c

Monthly income: 1, ≤ 5,000 yuan; 2, >5,000 yuan.

d

Beck Depression Inventory.

e

Course of disease; 1, < 1 year; 2, ≥1 years

f

Level of education; 1, ≤ 12 years; 2, >12 years. Significant level at P < 0.05.

B, unstandardized coefficient; SE, standard error; beta, standardized coefficient; R2, R square.