Low-carbohydrate diet score and chronic obstructive pulmonary disease: a machine learning analysis of NHANES data DOI Creative Commons
Xin Zhang, Jipeng Mo,

Kaiyu Yang

et al.

Frontiers in Nutrition, Journal Year: 2024, Volume and Issue: 11

Published: Dec. 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

Language: Английский

Associations of dietary inflammation index and composite dietary antioxidant index with all-cause mortality in COPD patients DOI Creative Commons
Sue Zhao, Yingjie Su, Hongzhong Yang

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 21, 2025

Background Few studies have investigated the effects of both dietary inflammatory index (DII) and composite antioxidant (CDAI) on mortality in patients with Chronic Obstructive Pulmonary Disease (COPD). Our research aimed to explore associations between two indicators all-cause COPD patients. Methods We conducted a prospective cohort analysis based data from six cycles National Health Nutrition Examination Survey (NHANES) dataset 2007 2018. Multivariate Cox proportional hazard models were used analyze DII CDAI COPD. employed restricted cubic spline (RCS) examine dose–response relationship mortality, threshold effect determine inflection point, subgroup interaction tests verify stability results. Results A total 1,457 aged over 40 enrolled study. The median follow-up time was 76.8 months. multivariate hazards model showed that increased associated an increase (HR (95% CI): 1.11(1.04, 1.18), p = 0.002). In contrast, negatively correlated 0.95(0.91, 0.99), 0.01). RCS nonlinear correlation or mortality. maximum pro-inflammatory point 2.32, while is −0.12. Subgroup analyses indicated exposure variables stable most populations. Conclusion Reducing diet increasing can reduce

Language: Английский

Citations

2
Association between dietary patterns and suicide ideation among depressed adults: Insights from NHANES 2007–2020 DOI
Kun Li,

Honggang Lyu,

Lihong Zhang

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 377, P. 235 - 244

Published: Feb. 21, 2025

Language: Английский

Citations

1
Associations between ultra-processed foods intake and preserved ratio impaired spirometry in U.S. adults DOI Creative Commons
Weiliang Kong

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 31, 2025

Preserved Ratio Impaired Spirometry (PRISm) is increasingly recognized as a precursor to Chronic Obstructive Pulmonary Disease (COPD). The impact of Ultra-Processed Foods (UPFs) intake on PRISm and lung function remains underexplored, we aimed explore their associations. This study included 8,336 U.S. adults. Weighted logistic linear regression models were employed for main analysis. Dose-response relationship was examined through restricted cubic spline (RCS) analysis, subgroup analyses explored interactions with selected covariates. Participants in the group older exhibited various adverse health characteristics. percentage total daily energy from UPFs (%Kcal) associated non-significant increase risk (OR 1.67, 95% CI: 0.96-2.92, p = 0.07). However, highest quartile significantly linked increased 1.36, 0.99-1.86, P trend 0.043). Furthermore, higher negatively affected function, participants showing significant reduction forced expiratory volume 1 s (FEV1) -45.5 mL (95% -87.6 -3.4, 0.045) decrease vital capacity (FVC) -139.4 -223.5 -55.4, < 0.001) compared those lowest quartile. RCS analysis demonstrated relationships both function. Subgroup revealed susceptibility primarily among individuals occupational exposure. Additionally, sensitivity indicated that (%Grams) an 1.86, 1.07-3.25, 0.03). Higher affects particularly

Language: Английский

Citations

0
The Association between Dietary Inflammatory Index and Latent Tuberculosis Infection in US Participants: A Cross-Sectional Study from NHANES DOI
Jun Jia, Yuanyuan Liu, Hua Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Red blood cell distribution width to albumin ratio as a novel predictor for mortality in chronic obstructive pulmonary disease patients: Results from the cohort study of NHANES, 1999–2018 DOI Creative Commons
Guoxin Zhang,

Beizheng Xu,

Xiaoyun Zhao

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0319869 - e0319869

Published: April 1, 2025

Objectives To investigate the association of red blood cell distribution width (RDW) to albumin ratio (RAR) with mortality in chronic obstructive pulmonary disease (COPD) patients. Methods We selected 1,652 patients COPD from National Health and Nutrition Examination Survey (NHANES) 1999-2018, who were categorized into four groups according RAR quartiles. Kaplan-Meier curves, restricted cubic splines Cox proportional hazard model used evaluate associations between all-cause lower respiratory (CLRD) Subgroup analyses performed check interaction different characteristics. Results There 640 deaths during follow-up, which, 145 CLRD. curves indicated higher had significantly increased CLRD mortality. Multivariate regression showed HR Q4 was 2.88 (95% CI 2.18 - 3.81, p < 0.0001) for all cause-mortality 3.39 1.76 6.53, 0.001) mortality, compared Q1 RAR. Restricted analysis a dose-response risk ( non-linearity 0.001). Conclusion an independent especially has potential as novel promising predictor identify individuals high risk.

Language: Английский

Citations

0
The comprehensive relationship between combined anti-inflammatory and healthy diets and all-cause mortality in rheumatoid arthritis: results from NHANES 2003–2018 DOI Creative Commons
Penghe Wang, Dongni Wang, Jing Sui

et al.

Arthritis Research & Therapy, Journal Year: 2024, Volume and Issue: 26(1)

Published: Dec. 23, 2024

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune inflammatory disorder. Diet recognized as modifiable factor that may influence inflammation and potentially accelerate RA progression. Nevertheless, the effects of diverse dietary patterns their combined impact on progression long-term mortality remain inadequately understood. This study examined association between in patients with RA, focusing Healthy Eating Index (HEI-2015) Dietary Inflammatory (DII) evaluating effects. The analysis included 2,069 from National Health Nutrition Examination Survey (NHANES) spanning 2003–2018. Weighted multi-variable Cox regression models estimated relationship DII, HEI-2015, patterns, all-cause RA. Linear associations were analyzed using restricted cubic splines (RCS). factors associated identified through Least Absolute Shrinkage Selection Operator (LASSO) method, subgroup sensitivity analyses conducted to strengthen findings. Participants had median age 59 years (IQR: 48–69), 42.1% male. Adjusting for potential confounders, hazard ratio (HR) individuals adhering healthy anti-inflammatory opposed unhealthy pro-inflammatory was 0.70 (95% CI: 0.53–0.92; adjusted P = 0.01; trend 0.02). In weighted DII higher quartiles showed no significant risk difference lowest quartiles. LASSO-Cox model 12 components predictive an AUC 0.749 (0.682–0.815) at 1 year, 0.763 (0.724–0.802) 3 years, 0.783 (0.749–0.802) 5 0.868 (0.712–0.938) all death events. Kaplan-Meier revealed low-risk group exhibited significantly lower compared high-risk (P < 0.001). These findings suggest combining HEI-2015 score correlates reduced among supporting modification strategy prevent premature this population.

Language: Английский

Citations

1
Low-carbohydrate diet score and chronic obstructive pulmonary disease: a machine learning analysis of NHANES data DOI Creative Commons
Xin Zhang, Jipeng Mo,

Kaiyu Yang

et al.

Frontiers in Nutrition, Journal Year: 2024, Volume and Issue: 11

Published: Dec. 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

Language: Английский

Citations

0