Association between composite dietary antioxidant index and hypertension: insights from NHANES

Wu, Mingyue; Si, Jiayi; Liu, Yihai; Kang, Lina; Xu, Biao

doi:10.1080/10641963.2023.2233712

Cited by 69 publications

(22 citation statements)

References 34 publications

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“…), we still noted some irrelevances or negative correlations, suggesting that the relationship between VOCs and sleep health may be nonlinear and require further analysis. In fact, this nding is actually in line with clinical practice, many disease risk factors and the disease itself does not have a good linear t relationship [30,31]. Conversely, sometimes it is only when risk factors are above certain thresholds that disease development is induced [32].…”

Section: Discussionsupporting

confidence: 53%

The associations of blood volatile organic compounds with sleep health in the American adults: Data from NHANES 2007-2012

Chen,

Tang,

et al. 2023

Preprint

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Background Unhealthy sleep health has become a rising public health epidemic, and environmental issues have become a burgeoning orientation to probe into the factors affecting sleep health. Volatile organic compounds (VOCs), common organic pollutants in the air, were connected with some somatic diseases, while whether VOCs exposure or which VOCs lead to sleep abnormality was yet explored so far. Methods We analyzed blood content data of five VOCs (LBXVBF, blood bromoform; LBXVBM, blood bromodichloromethane; LBXVCF, blood chloroform; LBXVCM, blood dibromochloromethane; LBXVME, blood MTBE) reported for 5740 adults in NHANES 2007–2012. Sleep health categories, including trouble sleeping, sleep disorder, and insufficient (<6 h/day) or excessive (>9 h/day) sleep, were examined. Weighted multiple linear/logistic regression models were constructed to estimate the linear associations of VOCs exposure with sleep health. As for survival analysis of different VOCs related with individual survival outcomes, we selected the weighted multivariate COX regression model to assess. To explore the non-linear association between variables, restricted cubic spline (RCS) regression analysis was carried out. Moreover, three adjustment regression modeling strategies were utilized to evaluate the VOCs effect on sleep health. Results According to the adjusted linear RCS regression model, it is reported that the U-shaped nonlinear relationship between blood VOCs (LBXVBM: P-overall = 0.0284; LBXVCM: P-overall = 0.0321) and sleep duration. The fully adjusted logistic RCS model revealed that LBXVBM, LBXVCM and LBXVCF all displayed statistically significant U-shaped curves in trouble sleep and insufficient sleep groups (P-overall < 0.05). The adjusted COX-RCS analysis results revealed that the LBXVME (p-overall = 0.0359) was risk factor for all-cause mortality. Conclusions There was a negative non-linear association between specific blood VOCs and sleep health among U.S. adults, and this adverse effect was mainly manifested in trouble sleeping and prolonged sleep duration. Moreover, the results of survival analysis showed that environmental VOCs exposure could induce adverse survival outcomes. Future prospective longitudinal studies should be conducted to further investigate and determine the degree of the association between VOCs and sleep health.

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Section: Discussionsupporting

confidence: 53%

The associations of blood volatile organic compounds with sleep health in the American adults: Data from NHANES 2007-2012

Chen,

Tang,

et al. 2023

Preprint

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“…Studies have shown that antioxidant-rich diets, including carotenoids, vitamin E, and magnesium supplements, are negatively associated with hypertension. 47 – 49 …”

Section: Discussionmentioning

confidence: 99%

A cross-sectional study exploring the relationship between oxidative balance score and 10-year atherosclerotic cardiovascular disease risk based on the National Health and Nutrition Examination Survey (2011–2020)

Wang,

Gao,

Wang

et al. 2024

Diabetes and Vascular Disease Research

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Background The intricate interaction between oxidative stress and atherosclerotic cardiovascular disease (ASCVD) is an essential area of research because of the potential role of oxidative homeostasis in regulating ASCVD risk. This study aimed to investigate the relationship between the oxidative balance score (OBS) and the 10-years risk of ASCVD to gain insight into how oxidative balance affects cardiovascular health. Methods This cross-sectional study analyzed National Health and Nutrition Examination Survey (NHANES) 2011–2020 data (40–79 age group), exploring OBS’s link to 10-years ASCVD risk. OBS categorized dietary and lifestyle factors. Multivariate logistic regression controlled for age, sex, race, and demographics. A restricted cubic spline examined linear relationships; robustness was ensured through subgroup analyses. Results Analysis of 4955 participants reveals a negative association between OBS and 10-years ASCVD risk. Continuous OBS adjusted OR: 0.97 (95% CI: 0.95∼0.99, p < .001). Quartile analysis shows reduced risk in Q2 0.88 (95% CI: 0.63∼1.22, p = .43), Q3 0.92 (95% CI: 0.66∼1.28, p = .614), and Q4 0.59 (95% CI: 0.42∼0.83, p = .002) compare Q1. Quartile analysis indicated decreasing risk in higher OBS quartiles. Lifestyle OBS and Dietary OBS demonstrated similar trends. Stratified analyses highlight race and hypertension as effect modifiers ( p < .05). Conclusion Our study suggests an association between higher OBS and a reduced 10-years ASCVD risk. However, causation should not be inferred, and in the future, more extensive clinical and fundamental research is required to delve deeper into this association.

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“…Dietary data were obtained from two dietary recall interviews for six dietary antioxidants including total vitamin A (VitA), total vitamin C (VitC), total vitamin E (VitE), total zinc, total selenium (Se), and total lutein + zeaxanthin (LZ). According to the method described by Wu M, the composite dietary antioxidant index (CDAI) was calculated by subtracting the mean value for each of the six antioxidants, dividing by the standard deviation to normalize it, and then summing it to obtain it [ 27 ].…”

Section: Methodsmentioning

confidence: 99%

Interpretable machine learning framework to predict gout associated with dietary fiber and triglyceride-glucose index

Cao,

2024

Nutr Metab (Lond)

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Background Gout prediction is essential for the development of individualized prevention and treatment plans. Our objective was to develop an efficient and interpretable machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to link dietary fiber and triglyceride-glucose (TyG) index to predict gout. Methods Using datasets from the National Health and Nutrition Examination Survey (NHANES) (2005–2018) population to study dietary fiber, the TyG index was used to predict gout. After evaluating the performance of six ML models and selecting the Light Gradient Boosting Machine (LGBM) as the optimal algorithm, we interpret the LGBM model for predicting gout using SHAP and reveal the decision-making process of the model. Results An initial survey of 70,190 participants was conducted, and after a gradual exclusion process, 12,645 cases were finally included in the study. Selection of the best performing LGBM model for prediction of gout associated with dietary fiber and TyG index (Area under the ROC curve (AUC): 0.823, 95% confidence interval (CI): 0.798–0.848, Accuracy: 95.3%, Brier score: 0.077). The feature importance of SHAP values indicated that age was the most important feature affecting the model output, followed by uric acid (UA). The SHAP values showed that lower dietary fiber values had a more pronounced effect on the positive prediction of the model, while higher values of the TyG index had a more pronounced effect on the positive prediction of the model. Conclusion The interpretable LGBM model associated with dietary fiber and TyG index showed high accuracy, efficiency, and robustness in predicting gout. Increasing dietary fiber intake and lowering the TyG index are beneficial in reducing the potential risk of gout.

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Association between composite dietary antioxidant index and hypertension: insights from NHANES

Cited by 69 publications

References 34 publications

The associations of blood volatile organic compounds with sleep health in the American adults: Data from NHANES 2007-2012

The associations of blood volatile organic compounds with sleep health in the American adults: Data from NHANES 2007-2012

A cross-sectional study exploring the relationship between oxidative balance score and 10-year atherosclerotic cardiovascular disease risk based on the National Health and Nutrition Examination Survey (2011–2020)

Interpretable machine learning framework to predict gout associated with dietary fiber and triglyceride-glucose index

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