Construction and Validation of a Risk Warning Model of Depression in Patients with Pulmonary Nodule

Background. To establish a depression risk warning model for patients with pulmonary nodules and to provide a theoretical basis for medical staff to identify high-risk patients early and quickly and take timely intervention measures. Methods. A total of 535 hospitalized patients with pulmonary nodul...

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Bibliographic Details
Published in:Perspectives in psychiatric care 2023-03, Vol.2023 (1)
Main Authors: Sun, Jiaojiao, Zhou, Yunxu, Wang, Zhiqiang
Format: Article
Language:English
Subjects:
Age
Care and treatment
Communication
Consent
Data collection
Depression, Mental
Family income
Hospital patients
Hospitals
Low density lipoproteins
Males
Mental depression
Mental disorders
Patients
Psychiatric-mental health nursing
Questionnaires
Research methodology
Risk factors
Social aspects
Social support
Validity
Citations: Items that this one cites
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Summary:Background. To establish a depression risk warning model for patients with pulmonary nodules and to provide a theoretical basis for medical staff to identify high-risk patients early and quickly and take timely intervention measures. Methods. A total of 535 hospitalized patients with pulmonary nodules were selected, and the relevant data were analyzed by single-factor analysis. Binary logistic regression analysis was used to determine the independent risk factors for depression in patients with pulmonary nodules and to establish a risk warning model. The Hosmer−Lemeshow test and receiver operating characteristic (ROC) curve were used to evaluate the goodness of fit and prediction effect of the model, and the cross-validation method was used to verify the efficacy of the model. Results. The prevalence of depression in patients with pulmonary nodules was 47.29%. Univariate analysis showed that CRP, albumin, creatinine, phosphorus, calcium, triglyceride, cholesterol, low-density lipoprotein, high-density lipoprotein, β2-microglobulin, objective support, social support, and education level were related to depression in patients with pulmonary nodules P 
ISSN:0031-5990
1744-6163
DOI:10.1155/2023/3449836