Associations between mixed urinary phenols and parabens metabolites and bone mineral density: Four statistical models

Gu, Lanxin; Wang, Zhongyuan; Pan, Yang; Wang, Hua; Sun, Lian; Liu, Luwei; Zhong, Weijie; Zhang, Weibing

doi:10.1016/j.chemosphere.2022.137065

Cited by 13 publications

(5 citation statements)

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“…Due to the diverse nutritional composition of food, individuals are simultaneously exposed to multiple vitamins in their daily life, an increasing number of researchers are advocating to explore the relationship of mixed vitamin exposures and human health ( 27 ). In general, BKMR, WQS regression, and qgcomp models are commonly employed to estimate the overall impact of mixed chemical exposure ( 28 , 29 ). For instance, a cross-sectional study conducted by Tang et al, they found that multivitamins mixed intake was negatively associated with the obesity risk among children and adolescents via using the BKMR analysis ( 12 ).…”

Section: Discussionmentioning

confidence: 99%

Associations between single and multiple dietary vitamins and the risk of periodontitis: results from NHANES 2009–2014

Liang,

Lu,

Zhou

2024

Front. Nutr.

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BackgroundPeriodontitis is a prevalent inflammatory periodontal disease that has an impact on the overall quality of life. Although several studies have indicated an association between individual vitamin intake and periodontitis risk, the associations of the multivitamins with periodontitis risk remain unclear.AimThis study aimed to explore the joint effect of multivitamins (including vitamin A, vitamin B1, vitamin B2, vitamin B6, vitamin B12, vitamin C, vitamin D, vitamin E, and vitamin K) on periodontitis.MethodsFor this cross-sectional study, data were collected from participants aged ≥ 30 years in the National Health and Nutrition Examination Surveys 2009–2014 (n = 9,820). We employed weighted multivariate logistic regression models to evaluate the single association between individual vitamin intakes and periodontitis, and Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp) models to assess the joint effect of nine vitamins on periodontitis.ResultsThe overall prevalence of periodontitis was approximately 35.97%. After adjustment of covariates, vitamin B6 [odds ratio (OR) = 0.82, 95% confidence interval (CI): 0.72–0.94] and vitamin E (OR = 0.79, 95%CI: 0.69–0.92) were negatively related to the likelihood of developing periodontitis, respectively. The result of three models indicated that, mixture of vitamin A, vitamin B1, vitamin B2, vitamin B6, vitamin B12, vitamin C, vitamin D, vitamin E, and vitamin K had a significant negative combined effect on the risk of periodontitis. In the BKMR model, when all remaining vitamins were at their median levels, the periodontitis risk decreased with increased concentration levels of vitamin E and vitamin B2. WQS analysis indicated the highest weighted chemical was vitamin E, followed by vitamin B12 and vitamin D. In the qgcomp model, vitamin E received the highest negative weights for the periodontitis risk, followed by vitamin B2 and vitamin D, respectively.ConclusionBoth dietary vitamin B6 and vitamin E were associated with decreased odds of periodontitis. Additionally, the mixture-exposed analyses consistently showed the negative correlations between nine dietary vitamins mixtures and periodontitis.

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Section: Discussionmentioning

confidence: 99%

Associations between single and multiple dietary vitamins and the risk of periodontitis: results from NHANES 2009–2014

Liang,

Lu,

Zhou

2024

Front. Nutr.

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“…However, considering that individuals are typically exposed to multiple vitamins rather than a single one in real-world scenarios, it is imperative to investigate the effects of mixed vitamin exposure on childhood eczema ( 26 ). Recently, BKMR analysis and the qgcomp model were widely used to assess the impact of mixed exposure on health ( 27 ). Ketema et al ( 28 ) adopted BKMR analysis to show that a mixture of phthalate metabolites was associated with eczema in 7-year-old children.…”

Section: Discussionmentioning

confidence: 99%

Associations of single and multiple vitamin exposure with childhood eczema: data from the national health and nutrition examination survey

Wang,

Wang

et al. 2024

Front. Pediatr.

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AimThe association between vitamins and eczema has garnered attention, yet few studies have evaluated the effects of co-exposure to multiple vitamins on this condition. This study aims to assess the association of vitamin mixtures with eczema in children.MethodsThis cross-sectional study analyzed data from 2,244 children aged 6–17 years from the National Health and Nutrition Examination Surveys. Eczema served as the primary outcome. Six serum vitamins, namely, vitamins A, B6, B12, C, D, and E, were the main variables. Weighted multivariate logistic regression was adopted to analyze the association between each serum vitamin and eczema. Odds ratios (OR) with a 95% confidence interval (CI) were calculated. Bayesian kernel machine regression (BKMR) analysis and the quantile g-computation (qgcomp) model were used to evaluate the association of co-exposure to multiple vitamins with eczema.ResultsIn total, 10.83% of children (n = 243) developed eczema. After adjusting for confounding factors, we observed that compared with the reference group (vitamin B12 with second quartile), the OR for eczema was 0.604 (95% CI: 0.373–0.978, P = 0.041) for the first quartile of vitamin B12. Both BKMR analysis and the qgcomp model consistently showed that co-exposure to the six vitamins was positively correlated with the risk of eczema, with vitamin B6 contributing most to the overall effect. In BKMR analyses, we observed an interaction between vitamins B6 and B12 concerning eczema risk.ConclusionCo-exposure to vitamins A, C, B6, B12, D, and E was found to be associated with an increased risk of eczema in children, with vitamin B6 as the greatest positive contributor driving the overall effect.

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“…Unlike exposure to a single type of PFAS, people encounter a mixture of these substances in everyday life. Individual PFASs cannot wholly account for the occurrence and development of liver injury, and neglecting multi-PFAS effects may cause biased estimates of the single-PFAS effects [12][13] . Therefore, exploring how different PFASs, both individually and as a mixture, relate to liver injury in adults is important.…”

Section: Introductionmentioning

confidence: 99%

Association of exposure to per- and polyfluoroalkyl substances with liver injury in American adults

Yan,

Zhang,

et al. 2024

J Biomed Res

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Epidemiological data is scarce regarding the association between exposure to mixtures of per-and polyfluoroalkyl substances (PFASs) and liver injury in the general populace. The current research used data from the National Health and Nutrition Examination Survey (2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018). The PFAS exposure levels were defined by the serum concentrations of PFASs with > 70% detection in samples, namely perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorohexane sulfonic acid (PFHxS), perfluorodecanoic acid (PFDeA), and perfluorooctane sulfonic acid (PFOS). Liver injury was assessed from two aspects: first, the degree of liver inflammation was determined based on serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), glutamyltransferase (GGT), and total bilirubin (TBIL) levels; second, the degree of liver fibrosis was determined based on fibrosis-4 (FIB-4) index. We assessed the associations between individual or total PFAS exposure and these outcomes using multivariable linear regression models and logistic regression models, restricted cubic splines, and weighted quantile sum regression. Among the samples of 7484 American adults, the median concentration of PFOS was the highest, followed by PFOA and PFHxS. Using multivariable linear regression, a positive correlation was observed between all PFASs and liver enzymes such as ALT, AST, and TBIL. Additionally, the weighted quantile sum model indicated an overall positive association between the five PFASs and liver injury indicators. For liver function biomarkers and liver fibrosis, PFNA and PFOS were the most heavily weighting chemicals, respectively. Our findings provide new epidemiological evidence indicating a potential association between PFAS exposure and adverse effects on liver injury biomarkers, highlighting the potentially harmful effects of PFAS exposure on liver health.

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Associations between mixed urinary phenols and parabens metabolites and bone mineral density: Four statistical models

Cited by 13 publications

References 50 publications

Associations between single and multiple dietary vitamins and the risk of periodontitis: results from NHANES 2009–2014

Associations between single and multiple dietary vitamins and the risk of periodontitis: results from NHANES 2009–2014

Associations of single and multiple vitamin exposure with childhood eczema: data from the national health and nutrition examination survey

Association of exposure to per- and polyfluoroalkyl substances with liver injury in American adults

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