Work

Relationships between vitamin C intake and COPD assessed by machine learning approaches from the NHANES (2017–2023)

Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: This research aims to explore the possible link between Vitamin C Intake (VCI) and the incidence of Chronic Obstructive Pulmonary Disease (COPD) in Americans aged over 20. Methods: This study analyzed data from 10,757 participants with or without COPD from NHANES (2017-2023). The primary exposure variable, VCI, was grouped by quartiles. Missing data were handled via multiple imputations. A Directed Acyclic Graph (DAG) was used to pre-identify VCI -and COPD-related covariates. Variance Inflation Factor (VIF) eliminated highly collinear variables. Machine learning methods (LASSO, Random Forest, and XGBoost) screened variables. A weighted multivariate logistic regression model explored the VCI-COPD relationship. Restricted Cubic Spline (RCS) and threshold analysis examined non-linear relationships. Subgroup analysis and interaction tests ensured reliability. A nomogram showed the predictive factors' importance for COPD. Model performance was reported using the Area Under the Receiver Operating Characteristic Curve (AUC). Results: In all models, we found that there was a negative correlation between VCI (≥50.1 mg/day) and the prevalence of COPD. The RCS and threshold analysis results show a negative correlation between COPD and VCI (≤135.6 mg/day). Subgroup analysis shows a negative association between VCI and the prevalence of COPD, specifically among females and individuals with dietary fiber intake in the second quartile (Q2). The AUC results show that our model has good diagnostic performance. Limitations: The cross-sectional design limits causal inference and lacks external validation. Conclusion: An elevated VCI within 50.1-135.6 is linked to a decreased risk for COPD.
Authors: Xinxin Tao, Xianwei Ye
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4410417850
FWCI: 4.86
Cites: 42
Cited by: 8
Related to: 10