[Retracted] Constructing a Predictive Model of Depression in Chemotherapy Patients with Non-Hodgkin’s Lymphoma to Improve Medical Staffs’ Psychiatric Care

Table 2

Prediction factors for depressive symptomatology.

Variable	Prediction model
		Odds ratio (95% CI)	value
(Intercept)	1.744	5.719 (0.108-315.986)	0.390
Sex	4.348	77.361 (24.273-313.424)
Age	0.056	1.058 (1.015-1.106)	0.011
Education_level	-0.833	0.435 (0.214-0.84)	0.016
Marital_status	0.136	1.145 (0.207-6.633)	0.878
Medical_insurance	-0.460	0.631 (0.276-1.416)	0.266
Per_capita_monthly_household_income	0.310	1.364 (0.726-2.61)	0.338
Pathological_stage	-0.311	0.733 (0.279-1.908)	0.523
SSRS	-0.335	0.715 (0.339-1.492)	0.373
PSQI	0.170	1.185 (1.023-1.387)	0.027
Total_score_QLQ_C30	-0.144	0.866 (0.808-0.918)

is the regression coefficient.