[Associations of a mixture of eleven endocrine disruptors in human urine with the risk of papillary thyroid cancer].
1/5 보강
[OBJECTIVE] To examine the associations of human exposure to a mixture of 11 endocrine disruptors(EDCs) with the risk of papillary thyroid cancer(PTC), and to identify the priority of these EDCs.
APA
Mao H, Zhang L, et al. (2023). [Associations of a mixture of eleven endocrine disruptors in human urine with the risk of papillary thyroid cancer].. Wei sheng yan jiu = Journal of hygiene research, 52(6), 986-992. https://doi.org/10.19813/j.cnki.weishengyanjiu.2023.06.020
MLA
Mao H, et al.. "[Associations of a mixture of eleven endocrine disruptors in human urine with the risk of papillary thyroid cancer].." Wei sheng yan jiu = Journal of hygiene research, vol. 52, no. 6, 2023, pp. 986-992.
PMID
38115664 ↗
Abstract 한글 요약
[OBJECTIVE] To examine the associations of human exposure to a mixture of 11 endocrine disruptors(EDCs) with the risk of papillary thyroid cancer(PTC), and to identify the priority of these EDCs.
[METHODS] EDCs were determined in fasting urine specimens to represent human exposure. Logistics regressions were performed to examine the associations between individual EDC and PTC risk. Bayes kernel machine regression was applied to examine the associations between the mixture of EDCs and PTC risk. Weighted quantile sum(WQS) regression and LASSO regression were performed to identify the main contributor.
[RESULTS] In the multivariate logistic regression model, after adjusting for a series of variables, 11 endocrine disruptors were statistically significantly correlated with the risk of PTC(P<0.05). In BKMR models, the mixture of EDCs was positively correlated with the risk of PTC(P<0.05). The weight and coefficient of mono(2-ethyl-5-hydroxyhexyl) phthalate(MEHHP) was 0.62 and 1.58 in WQS and LASSO models, respectively, which were much higher than those of the other EDCs.
[CONCLUSION] Combined exposure to o a variety of EDCs might promote the risk of PTC, and MEHHP was identified as the main contributor.
[METHODS] EDCs were determined in fasting urine specimens to represent human exposure. Logistics regressions were performed to examine the associations between individual EDC and PTC risk. Bayes kernel machine regression was applied to examine the associations between the mixture of EDCs and PTC risk. Weighted quantile sum(WQS) regression and LASSO regression were performed to identify the main contributor.
[RESULTS] In the multivariate logistic regression model, after adjusting for a series of variables, 11 endocrine disruptors were statistically significantly correlated with the risk of PTC(P<0.05). In BKMR models, the mixture of EDCs was positively correlated with the risk of PTC(P<0.05). The weight and coefficient of mono(2-ethyl-5-hydroxyhexyl) phthalate(MEHHP) was 0.62 and 1.58 in WQS and LASSO models, respectively, which were much higher than those of the other EDCs.
[CONCLUSION] Combined exposure to o a variety of EDCs might promote the risk of PTC, and MEHHP was identified as the main contributor.
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