Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897700151> ?p ?o ?g. }
- W2897700151 endingPage "694" @default.
- W2897700151 startingPage "683" @default.
- W2897700151 abstract "Some heavy metals (e.g., arsenic, cadmium, lead, mercury) have been associated with obesity and obesity comorbidities. The analytical approach for those associations has typically focused on individual metals. There is a growing interest in evaluating the health effects of cumulative exposure to metal mixtures. We utilized our Environmental Risk Score (ERS), a summary measure to examine the risk of exposure to multi-pollutants in epidemiologic research, to evaluate the associations of cumulative exposure to a mixture of correlated heavy metals with obesity and its comorbidities including hypertension, and type-2 diabetes mellitus (T2DM) while accounting for high degree correlations and interactions among metal mixtures components. We examined blood and urinary markers of 18 heavy metals among 9537 adults in NHANES 2003–2014. We randomly split data into a training set for the construction of ERS (n = 6675) and a testing set for the evaluation of its statistical performance (n = 2862). ERS of heavy metal mixtures was computed for waist circumference using adaptive elastic-net (AENET) with 189 predictors including 18 main effects, 18 squared terms, and 153 pairwise interactions of heavy metals. Regression analyses with complex survey designs were performed to assess the associations of ERS with other obesity measures, hypertension and T2DM. 7 main effects (blood lead, blood cadmium, blood mercury, and urinary markers of monomethylarsonic acid (MMA), barium, mercury and thallium), 4 squared terms (blood cadmium, urinary cadmium, urinary antimony and urinary tungsten), and 7 pairwise interactions (blood lead & urinary cadmium, blood lead & urinary MMA, blood lead & urinary uranium, urinary cadmium & urinary MMA, urinary dimethylarsinic acid (DMA) & urinary tungsten, urinary MMA & urinary cobalt, and urinary lead & urinary antimony) were selected by AENET for construction of ERS of waist circumference-related metal mixtures. An increase in ERS from 10th percentile to 90th percentile in the overall study population was significantly associated with 4.50 kg/m2 (95% CI: 4.06, 4.94) higher BMI, 4.16 mm (95% CI: 3.56, 4.76) higher skinfold thickness, and 4.11 kg (95% CI: 0.83, 7.40) higher total body fat, independent of age, sex, race/ethnicity, education, smoking status, physical activity and NHANES cycle (Ps < 0.05). Significant associations of ERS with both hypertension and T2DM were also observed (Ps < 0.05). Our study suggests that cumulative exposure to heavy metals as mixtures is associated with obesity and its related chronic conditions such as hypertension and T2DM. Additional research is needed to confirm these findings in longitudinal settings." @default.
- W2897700151 created "2018-10-26" @default.
- W2897700151 creator A5065187501 @default.
- W2897700151 creator A5082251592 @default.
- W2897700151 creator A5088645846 @default.
- W2897700151 date "2018-12-01" @default.
- W2897700151 modified "2023-10-18" @default.
- W2897700151 title "Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014" @default.
- W2897700151 cites W125126038 @default.
- W2897700151 cites W1504213575 @default.
- W2897700151 cites W1513833217 @default.
- W2897700151 cites W1530484024 @default.
- W2897700151 cites W1531003327 @default.
- W2897700151 cites W1574029579 @default.
- W2897700151 cites W1950253279 @default.
- W2897700151 cites W1968191239 @default.
- W2897700151 cites W1976161197 @default.
- W2897700151 cites W1982406683 @default.
- W2897700151 cites W1992545920 @default.
- W2897700151 cites W1996693631 @default.
- W2897700151 cites W1997242490 @default.
- W2897700151 cites W1998697859 @default.
- W2897700151 cites W1999414566 @default.
- W2897700151 cites W2004552391 @default.
- W2897700151 cites W2006958457 @default.
- W2897700151 cites W2013868391 @default.
- W2897700151 cites W2015918699 @default.
- W2897700151 cites W2016903592 @default.
- W2897700151 cites W2019404343 @default.
- W2897700151 cites W2027823140 @default.
- W2897700151 cites W2038512323 @default.
- W2897700151 cites W2046603535 @default.
- W2897700151 cites W2048260308 @default.
- W2897700151 cites W2050607094 @default.
- W2897700151 cites W2064074424 @default.
- W2897700151 cites W2069630382 @default.
- W2897700151 cites W2075490785 @default.
- W2897700151 cites W2097360283 @default.
- W2897700151 cites W2101701509 @default.
- W2897700151 cites W2103714496 @default.
- W2897700151 cites W2111051773 @default.
- W2897700151 cites W2113973351 @default.
- W2897700151 cites W2117968615 @default.
- W2897700151 cites W2122825543 @default.
- W2897700151 cites W2131118500 @default.
- W2897700151 cites W2135416715 @default.
- W2897700151 cites W2143345065 @default.
- W2897700151 cites W2166446427 @default.
- W2897700151 cites W2192722195 @default.
- W2897700151 cites W2194109317 @default.
- W2897700151 cites W2289111756 @default.
- W2897700151 cites W2321635716 @default.
- W2897700151 cites W2401468526 @default.
- W2897700151 cites W2462794150 @default.
- W2897700151 cites W2510846004 @default.
- W2897700151 cites W2564935797 @default.
- W2897700151 cites W2620558147 @default.
- W2897700151 cites W2730524918 @default.
- W2897700151 cites W2758156000 @default.
- W2897700151 cites W2915108784 @default.
- W2897700151 cites W3099006712 @default.
- W2897700151 cites W3121452939 @default.
- W2897700151 cites W4234698323 @default.
- W2897700151 cites W4294541781 @default.
- W2897700151 doi "https://doi.org/10.1016/j.envint.2018.09.035" @default.
- W2897700151 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6268112" @default.
- W2897700151 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30316184" @default.
- W2897700151 hasPublicationYear "2018" @default.
- W2897700151 type Work @default.
- W2897700151 sameAs 2897700151 @default.
- W2897700151 citedByCount "164" @default.
- W2897700151 countsByYear W28977001512018 @default.
- W2897700151 countsByYear W28977001512019 @default.
- W2897700151 countsByYear W28977001512020 @default.
- W2897700151 countsByYear W28977001512021 @default.
- W2897700151 countsByYear W28977001512022 @default.
- W2897700151 countsByYear W28977001512023 @default.
- W2897700151 crossrefType "journal-article" @default.
- W2897700151 hasAuthorship W2897700151A5065187501 @default.
- W2897700151 hasAuthorship W2897700151A5082251592 @default.
- W2897700151 hasAuthorship W2897700151A5088645846 @default.
- W2897700151 hasBestOaLocation W28977001511 @default.
- W2897700151 hasConcept C107872376 @default.
- W2897700151 hasConcept C109051061 @default.
- W2897700151 hasConcept C126322002 @default.
- W2897700151 hasConcept C134018914 @default.
- W2897700151 hasConcept C178790620 @default.
- W2897700151 hasConcept C185592680 @default.
- W2897700151 hasConcept C199360897 @default.
- W2897700151 hasConcept C2776193436 @default.
- W2897700151 hasConcept C2777693730 @default.
- W2897700151 hasConcept C2777777548 @default.
- W2897700151 hasConcept C2779874844 @default.
- W2897700151 hasConcept C2908647359 @default.
- W2897700151 hasConcept C41008148 @default.
- W2897700151 hasConcept C511355011 @default.
- W2897700151 hasConcept C544657597 @default.
- W2897700151 hasConcept C555293320 @default.