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ORIGINAL RESEARCH

Evaluation of Risk Factors for Chronic Obstructive Pulmonary Disease in the Middle-Aged and Elderly Rural Population of Northeast China Using Logistic Regression and Principal Component Analysis

ORCID Icon, , , , ORCID Icon, , ORCID Icon, , , , , , , , , , & ORCID Icon show all
Pages 1717-1726 | Received 29 May 2022, Accepted 06 Sep 2022, Published online: 11 Sep 2022

Figures & data

Table 1 Main Demographics, Disease History, Environmental Exposure, and Serum Indices Between Patients with Chronic Obstructive Pulmonary Disease and Controls

Table 2 Univariate Logistic Nonlinear Regression Model to Analyze the Effects of IgM, C3, C4 on Chronic Obstructive Pulmonary Disease

Table 3 Multivariate Gradual Logistic Regression Analysis for Risk Factors of Chronic Obstructive Pulmonary Disease

Table 4 Results of the Principal Component Analysis

Table 5 Multivariate Gradual Logistic Regression Analysis for Principal Components of Chronic Obstructive Pulmonary Disease

Table 6 Results of Logistics Regression Analysis for Conversion of Principal Components into Primary Variables