Fig 1.
Flowchart for study population selection in the CHARLS database.
Table 1.
Characteristics of study population.
Fig 2.
Distribution Map of the Radical Urbanization Index.
Table 2.
Association between Radical Urbanization Index. group and depression (Logistic regression).
Fig 3.
Presents an analysis of the association between the radical urbanization index and depressive symptoms using restricted cubic spline (RCS) functions.
The blue line represents the odds ratio, and the blue shaded area indicates the 95% confidence interval. No significant nonlinear trend was observed (P for nonlinearity = 0.060). The logistic regression was adjusted for age, gender, education level, marital status, living conditions, retirement status, medical insurance coverage, alcohol consumption history, smoking history, body mass index (BMI), and the presence of hypertension, diabetes, and heart disease.
Fig 4.
Subgroup analyses investigating the interaction between patient characteristics and the association between Radical Urbanization Index and depression.
Table 3.
Characteristics of study population.
Fig 5.
Comparative ROC curves of three classification models.
The x-axis represents the False Positive Rate (FPR), with a scale ranging from 0.0 to 1.0, and the y-axis represents the True Positive Rate (TPR). A) Performance metrics of the three Train Set classification models: Model 1 (AUC = 0.626), Model 2 (AUC = 0.707), and Model 3 (AUC = 0.729); B) Performance metrics of the three Test Set classification models: Model 1 (AUC = 0.641), Model 2 (AUC = 0.649), and Model 3 (AUC = 0.683).