Frontiers in Nutrition, Год журнала: 2024, Номер 11

Опубликована: Дек. 18, 2024

Background Recent research has identified the Low-Carbohydrate Diet (LCD) score as a novel biomarker, with studies showing that LCDs can reduce carbon dioxide retention, potentially improving lung function. While link between LCD and chronic obstructive pulmonary disease (COPD) been explored, its relevance in US population remains uncertain. This study aims to explore association likelihood of COPD prevalence this population. Methods Data from 16,030 participants National Health Nutrition Examination Survey (NHANES) collected 2007 2023 were analyzed examine relationship COPD. Propensity matching (PSM) was employed baseline bias. Weighted multivariable logistic regression models applied, restricted cubic spline (RCS) used possible nonlinear relationships. Subgroup analyses performed evaluate robustness results. Additionally, we eight machine learning methods—Boost Tree, Decision Logistic Regression, MLP, Naive Bayes, KNN, Random Forest, SVM RBF—to build predictive their performance. Based on best-performing model, further examined variable importance model accuracy. Results Upon controlling for variables, demonstrated strong correlation odds prevalence. In compared lowest quartile, adjusted ratios (ORs) high quartile 0.77 (95% CI: 0.63, 0.95), 0.74 0.59, 0.93), 0.61 0.48, 0.78). RCS analysis linear inverse Furthermore, random forest exhibited robust efficacy, an area under curve (AUC) 71.6%. Conclusion Our American adults indicates adherence may be linked lower These findings underscore important role tool enhancing prevention efforts within general Nonetheless, additional prospective cohort are required assess validate these

Язык: Английский