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Persistent organic pollutants and maternal glycemic outcomes in a diverse pregnancy cohort of overweight women

机译:持续有机污染物和孕产妇血糖结果在不同妊娠超重妇女的多元化队伍中

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Background: Animal and human studies suggest certain persistent organic pollutants (POPs) may impact glucose metabolism; however, few epidemiologic studies have examined environmental determinants of glycemic outcomes during pregnancy. Our objective is to evaluate associations between exposures to individual and mixture of POPs and measures of prenatal fasting glucose, insulin, and insulin resistance during pregnancy in overweight women. Methods: A cohort of overweight and obese pregnant women (N - 95) was recruited from California. Blood samples were collected during late first or second trimester (median = 16 weeks' gestation; range = 10-24 weeks). Exposures included serum concentrations of polybrominated diphenyl ethers (PBDEs) and hy-droxylated metabolites (OH-PBDEs), polychlorinated biphenyls (PCBs), and poly- and perfluoroalkyl substances (PFASs). Outcomes included serum concentrations of fasting plasma glucose, fasting plasma insulin, and calculated homeostatic model assessment of insulin resistance (HOMA-IR). Generalized linear models were used to evaluate cross-sectional associations between individual and aggregate POPs and mean percent difference in fasting glucose, fasting insulin, and HOMA-IR. Bayesian kernel machine regression (BKMR) was used to assess the relative importance of each exposure to the association with our outcomes, using conditional and group posterior inclusion probabilities (PIPs). Results: Study participants were racially/ethnically diverse and nearly half were below the federal poverty level. Across PBDEs and OH-PBDEs, the direction of associations with fasting glucose, fasting insulin and HOMA-IR were varied. A doubling of PCB-138, PCB-153, PCB-180, and ΣPCBs concentrations was associated with a 2.10% mmol/L (95%CI: 0.49%, 3.74%), 2.10% mmol/L (95%CI: -0.14%, 4.39%), 2.10% mmol/L (95%CI: 0.12%, 4.12%), and 2.81% mmol/L (95%CI: 0.38%, 5.31%) increase in fasting glucose, respectively. Exposure to individual PCBs was positively associated with both fasting insulin and HOMA-IR. All PFAS were inversely associated with fasting glucose, fasting insulin, and HOMA-IR. In BKMR models of fasting glucose, all four chemical classes were important contributors to the overall mixture, with PFASs identified as the most important contributor. Discussion: Prenatal PCB exposure was positively associated while certain PBDE and PFAS analytes were inversely associated with fasting glucose concentrations in overweight women. Further examination of the relationship between POPs exposure and glycemic functioning in a larger study population of women during pregnancy is warranted.
机译:背景:动物和人类研究表明某些持续的有机污染物(POPs)可能会影响葡萄糖代谢;然而,很少有流行病学研究在怀孕期间检查了血糖结果的环境决定因素。我们的目标是评估暴露于超重妇女妊娠期胰岛素胰岛素,胰岛素和胰岛素抵抗胰岛素的个体和混合物的关联。方法:从加利福尼亚州招募了一种超重和肥胖孕妇(N - 95)的群组。在第一个或第二孕期期间收集血样(中位数= 16周'妊娠;范围= 10-24周)。暴露包括血清浓度的聚溴二苯基醚(PBDE)和Hy-Droxylated代谢物(OH-PBDE),多氯联苯(PCB)和聚 - 和全氟烷基物质(PFASS)。结果包括血清浓度的空腹血浆葡萄糖,空腹血浆胰岛素,并计算出胰岛素抵抗(HOMA-IR)的稳态模型评估。广义的线性模型用于评估个体和聚集体的横截面关联,速度葡萄糖,空腹胰岛素和HOMA-IR之间的平均百分比。贝叶斯内核机回归(BKMR)用于评估每次暴露与我们的结果的相对重要性,使用条件和组后夹杂容(PIPS)。结果:学习参与者是种族主义/种族多样化的,近一半低于联邦贫困水平。横跨PBDES和OH-PBDES,各种葡萄糖,空腹胰岛素和HOMA-IR的关联方向。 PCB-138,PCB-153,PCB-180和ΣPCBS浓度加倍,与2.10%Mmol / L(95%Ci:0.49%,3.74%),2.10%Mmol / L(95%CI: - 0.14%,4.39%),2.10%MMOL / L(95%CI:0.12%,4.12%)和2.81%MMOL / L(95%CI:0.38%,5.31%,5.31%,5.31%)增加。暴露于单独的PCB与空腹胰岛素和HOMA-IR呈正相关。所有PFA均与空腹葡萄糖,空腹胰岛素和HOMA-IR相反。在禁食葡萄糖的BKMR模型中,所有四个化学类别都是整个混合物的重要贡献者,PFASS被确定为最重要的贡献者。讨论:产前PCB暴露呈正相关,同时某些PBDE和PFAS分析物与超重女性中的空腹葡萄糖浓度与空腹浓度相反。有必要进一步检查孕妇较大的女性妇女较大的妇女的血液暴露和血糖功能之间的关系。

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  • 来源
    《Environmental research》 |2021年第2期|110551.1-110551.7|共7页
  • 作者单位

    Department of Environmental and Occupational Health Milken Institute School of Public Health The George Washington University Washingto DC USA;

    Department of Environmental Health T.H. Chan School of Public Health Harvard University Boston MA USA Department of Epidemiology T.H. Chan School of Public Health Harvard University Boston MA USA;

    Department of Environmental and Occupational Health Milken Institute School of Public Health The George Washington University Washingto DC USA;

    Department of Environmental Health T.H. Chan School of Public Health Harvard University Boston MA USA;

    Center for Health and Community School of Medicine University of California San Francisco San Francisco CA USA;

    Deportment of Psychiatry School of Medicine University of California San Francisco San Francisco CA USA;

    Division of Community Health and Human Development School of Public Health University of California Berkeley Berkeley CA USA;

    Deportment of Psychiatry School of Medicine University of California San Francisco San Francisco CA USA;

    Environmental Chemistry Laboratory California Department of Toxic Substances Control Berkeley CA USA;

    Environmental Chemistry Laboratory California Department of Toxic Substances Control Berkeley CA USA;

    Environmental Chemistry Laboratory California Department of Toxic Substances Control Berkeley CA USA;

    Department of Environmental and Occupational Health Milken Institute School of Public Health The George Washington University Washingto DC USA;

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