Environmental polycyclic aromatic hydrocarbon exposure in relation to metabolic syndrome in US adults

Yang, Xue; Xue, Qingping; Wen, Ying; Huang, Yi; Wang, Yi; Mahai, Gaga; Yan, Tao; Liu, Yanjun; Tao, Rong; Wang, Yixin; Chen, Da; Zeng, Shuqin; Yang, Chunxia; Pan, Xiong‐Fei

doi:10.1016/j.scitotenv.2022.156673

Cited by 25 publications

(19 citation statements)

References 40 publications

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“…Therefore, analyzing the relationship between mixed environmental phenols and obesity might provide us with a more practical perspective for understanding the synergistic effects of these chemicals. The WQS model reflected the combined effects of mixed exposure and explained the contributions of each component in the mixed effects [ 45 , 46 ]. Our results of the WQS model indicated a negative correlation between environmental multi-phenols and obesity, with BP-3 contributing the most to this association.…”

Section: Discussionmentioning

confidence: 99%

“…where indicates a nonlinear linking function that allows for generalization to continuous, binary, and other distributions; binary results were considered in this study [ 44 , 45 ]. As in representative regression systems, reflects the model intercept, whereas is the regression coefficient of the weighted quantile and WQS index, that is, the overall effects of environmental phenols [ 46 ].…”

Section: Methodsmentioning

confidence: 99%

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Cholesterol mediates the effects of single and multiple environmental phenols in urine on obesity

Yu,

Zhang,

Yuan

et al. 2024

Lipids Health Dis

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Background Overweight and obesity are among the leading chronic diseases worldwide. Environmental phenols have been renowned as endocrine disruptors that contribute to weight changes; however, the effects of exposure to mixed phenols on obesity are not well established. Methods Using data from adults in National Health and Nutrition Examination Survey, this study examined the individual and combined effects of four phenols on obesity. A combination of traditional logistic regression and two mixed models (weighted quantile sum (WQS) regression and Bayesian kernel-machine regression (BKMR)) were used together to assess the role of phenols in the development of obesity. The potential mediation of cholesterol on these effects was analyzed through a parallel mediation model. Results The results demonstrated that solitary phenols except triclosan were inversely associated with obesity (P-value < 0.05). The WQS index was also negatively correlated with general obesity (β: 0.770, 95% CI: 0.644–0.919, P-value = 0.004) and abdominal obesity (β: 0.781, 95% CI: 0.658–0.928, P-value = 0.004). Consistently, the BKMR model demonstrated the significant joint negative effects of phenols on obesity. The parallel mediation analysis revealed that high-density lipoprotein mediated the effects of all four single phenols on obesity, whereas low-density lipoprotein only mediated the association between benzophenol-3 and obesity. Moreover, Cholesterol acts as a mediator of the association between mixed phenols and obesity. Exposure to single and mixed phenols significantly and negatively correlated with obesity. Cholesterol mediated the association of single and mixed environmental phenols with obesity. Conclusions Assessing the potential public health risks of mixed phenols helps to incorporate this information into practical health advice and guidance.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Cholesterol mediates the effects of single and multiple environmental phenols in urine on obesity

Yu,

Zhang,

Yuan

et al. 2024

Lipids Health Dis

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“…In the present study, we found that exposure to PAHs was associated with a higher prevalence of MetS in adults by using multiple logistic regression and WQS regression, which could strengthen the positive association between them, as the previous studies were conducted among specific populations. For instance, Hu et al examined the association of urinary PAH metabolites and MetS among nondiabetic adults [19]; Zhang et al examined the association among coke oven workers [20]; and Yang et al [30] and Li et al [21] examined the association between PAH exposure and MetS among general adults and adolescents. However, these studies did not explore the potential mechanism.…”

Section: Discussionmentioning

confidence: 99%

Association of polycyclic aromatic hydrocarbons with systemic inflammation and metabolic syndrome and its components

Chen

Peng

et al. 2023

Obesity

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Objective: This study aimed to evaluate the relationship of polycyclic aromatic hydrocarbon (PAH) exposure with metabolic syndrome (MetS) and its components and to explore the potential mechanism.Methods: Participants from the National Health and Nutrition Examination Survey (NHANES 2001(NHANES -2016 were included.Results: A total of 6532 adults and 1237 adolescents were included in the present analysis. For adults, the odds ratios (ORs) and 95% CIs for each one-unit increase in the log-transformed level of 1-hydroxynaphthalene (1-OHNa), 2-hydroxynaphthalene (2-OHNa), 3-hydroxyfluorene (3-OHFlu), 2-hydroxyfluorene (2-OHFlu), 1hydroxyphenanthrene (1-OHPh), 1-hydroxypyrene (1-OHP), 2-and 3-hydroxyphenanthrene (2&3-OHPh), and total urinary PAH metabolites ( P OH-PAHs) with MetS

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“…Herein, we used data obtained in 2007–2018, 2009–2010, and 2011–2012 (three cycles) from the NHANES official website; a total of 30,442 respondents were surveyed from 2007 to 2012. Following the inclusion and exclusion criteria of similar studies to reduce the selection bias [ 24 , 25 ], first, 5033 participants who did not perform laboratory tests were excluded, followed by those who lacked lung function measurements or had missing or unreliable values ( n = 5362). Additionally, participants with incomplete laboratory tests, including urinary metals and urinary As, were excluded from the remaining sample ( n = 14,264).…”

Section: Methodsmentioning

confidence: 99%

“…Consistent with previous similar studies [ 25 , 29 , 30 ], demographic data collection involved categorizing participants into specific age groups: children and adolescents (6–18 years), adults (19–59 years), and the elderly (≥60 years) [ 31 ]. Sex was recorded as male or female; race was categorized as non-Hispanic White, non–Hispanic Black, Mexican American, other Hispanic, and other races; and family income and poverty ratio (PIR) were categorized as <1.30, 1.30–3.50, and >3.50 [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

The Correlation between Metal Mixed Exposure and Lung Function in Different Ages of the Population

Chen,

Gu,

Zhou

et al. 2024

Metabolites

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Herein, we explored the overall association between metal mixtures and lung functions in populations of varying ages and the relationship among the associated components. The 2007–2012 National Health and Nutrition Examination Survey data of 4382 American participants was analyzed, and generalized linear, elastic net, quantile g–computation, and Bayesian kernel machine regression models were used to evaluate the relationship between exposure to the metal mixture and lung function at various ages. The results of barium exposure at distinct stages revealed that children and adolescents exhibited greater lung function changes than those in adults and the elderly. Additionally, compared with children and adolescents, cadmium– and arsenic–containing metabolites contributed to nonconductive lung function changes in adults and the elderly exposed to metal mixtures. The results showed that the effects of exposure to metal mixtures on lung function in children and adolescents were predominantly caused by lead and barium. Altogether, children and adolescents were found to be more susceptible to metal–exposure–mediated lung function changes than adults and the elderly.

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Environmental polycyclic aromatic hydrocarbon exposure in relation to metabolic syndrome in US adults

Cited by 25 publications

References 40 publications

Cholesterol mediates the effects of single and multiple environmental phenols in urine on obesity

Cholesterol mediates the effects of single and multiple environmental phenols in urine on obesity

Association of polycyclic aromatic hydrocarbons with systemic inflammation and metabolic syndrome and its components

The Correlation between Metal Mixed Exposure and Lung Function in Different Ages of the Population

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