Skip to main content
construction release_alert
Scholars@Duke will be undergoing maintenance April 11-15. Some features may be unavailable during this time.
cancel

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

Publication ,  Journal Article
Wang, R; Zhang, W; Li, Y; Jiang, Y; Feng, H; Du, Y; Jiao, Z; Lan, L; Liu, X; Li, B; Liu, C; Gu, X; Chu, F; Shen, Y; Zhu, C; Shao, X; Tong, S; Sun, D
Published in: Risk Management and Healthcare Policy
January 1, 2022

Purpose: To investigate the environmental, immune, and inflammatory factors associated with chronic obstructive pulmonary disease (COPD) in middle-aged and older Chinese individuals. Patients and Methods: A community-based case–control study was conducted among 471 patients with COPD and 485 controls. The information on COPD of the participants was collected through face-to-face interviews, and serum samples were measured at the laboratory. The main risk factors for COPD were analyzed using principal component analysis (PCA) and logistic regression. Results: Nine hundred and fifty-six respondents were included in the analysis. The results of the PCA-logistic regression analysis showed significant differences in the environmental factors, medical history, and serum C-reactive protein (CRP) levels between patients and controls. COPD was markedly more usual in those with smoking index >200 (OR, 1.42; 95% CI, 1.28–1.57); exposure to outdoor straw burning (OR, 1.64; 95% CI, 1.47–1.83); use of coal, wood, and straw indoors (OR, 2.31; 95% CI, 1.92–2.78); history of respiratory disease and coronary heart disease (OR, 3.58; 95% CI, 3.12–4.10), congestive heart failure (OR, 1.23; 95% CI, 1.09–1.38), and cerebrovascular disease (OR, 1.15; 95% CI,1.02–1.31); and higher serum level of CRP (OR, 1.20; 95% CI, 1.11–1.30). Compared to the logistic regression analysis, PCA logistic regression analysis identified more important risk factors for COPD. Conclusion: PCA-logistic regression analysis was first utilized to explore the influencing factors among rural residents in Northeast China Environmental aged 40 years and above, it was found that environmental factors, medical history, and serum CRP levels mainly affected the prevalence of COPD.

Duke Scholars

Published In

Risk Management and Healthcare Policy

DOI

EISSN

1179-1594

Publication Date

January 1, 2022

Volume

15

Start / End Page

1717 / 1726

Related Subject Headings

  • 4206 Public health
  • 4203 Health services and systems
  • 1605 Policy and Administration
  • 1117 Public Health and Health Services
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wang, R., Zhang, W., Li, Y., Jiang, Y., Feng, H., Du, Y., … Sun, D. (2022). 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. Risk Management and Healthcare Policy, 15, 1717–1726. https://doi.org/10.2147/RMHP.S376546
Wang, R., W. Zhang, Y. Li, Y. Jiang, H. Feng, Y. Du, Z. Jiao, et al. “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.” Risk Management and Healthcare Policy 15 (January 1, 2022): 1717–26. https://doi.org/10.2147/RMHP.S376546.
Wang, R., et al. “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.” Risk Management and Healthcare Policy, vol. 15, Jan. 2022, pp. 1717–26. Scopus, doi:10.2147/RMHP.S376546.
Wang R, Zhang W, Li Y, Jiang Y, Feng H, Du Y, Jiao Z, Lan L, Liu X, Li B, Liu C, Gu X, Chu F, Shen Y, Zhu C, Shao X, Tong S, Sun D. 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. Risk Management and Healthcare Policy. 2022 Jan 1;15:1717–1726.

Published In

Risk Management and Healthcare Policy

DOI

EISSN

1179-1594

Publication Date

January 1, 2022

Volume

15

Start / End Page

1717 / 1726

Related Subject Headings

  • 4206 Public health
  • 4203 Health services and systems
  • 1605 Policy and Administration
  • 1117 Public Health and Health Services