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挪威北部母婴污染物队列(MISA)研究:孕早期母体血清中环境污染物与饮食摄入的主成分分析。

The Northern Norway Mother-and-Child Contaminant Cohort (MISA) Study: PCA analyses of environmental contaminants in maternal sera and dietary intake in early pregnancy.

作者信息

Veyhe Anna Sofía, Hofoss Dag, Hansen Solrunn, Thomassen Yngvar, Sandanger Torkjel M, Odland Jon Øyvind, Nieboer Evert

机构信息

Department of Community Medicine, Faculty of Health Science, The Arctic University of Norway, Norway.

Department of Community Medicine, Faculty of Health Science, The Arctic University of Norway, Norway; Institute of Health and Society, University of Oslo, Norway.

出版信息

Int J Hyg Environ Health. 2015 Mar;218(2):254-64. doi: 10.1016/j.ijheh.2014.12.001. Epub 2014 Dec 9.

Abstract

BACKGROUND

Although predictors of contaminants in serum or whole blood are usually examined by chemical groups (e.g., POPs, toxic and/or essential elements; dietary sources), principal component analysis (PCA) permits consideration of both individual substances and combined variables.

OBJECTIVES

Our study had two primary objectives: (i) Characterize the sources and predictors of a suite of eight PCBs, four organochlorine (OC) pesticides, five essential and five toxic elements in serum and/or whole blood of pregnant women recruited as part of the Mother-and-Child Contaminant Cohort Study conducted in Northern Norway (The MISA study); and (ii) determine the influence of personal and social characteristics on both dietary and contaminant factors.

METHODS

Recruitment and sampling started in May 2007 and continued for the next 31 months until December 2009. Blood/serum samples were collected during the 2nd trimester (mean: 18.2 weeks, range 9.0-36.0). A validated questionnaire was administered to obtain personal information. The samples were analysed by established laboratories employing verified methods and reference standards. PCA involved Varimax rotation, and significant predictors (p≤0.05) in linear regression models were included in the multivariable linear regression analysis.

RESULTS

When considering all the contaminants, three prominent PCA axes stood out with prominent loadings of: all POPs; arsenic, selenium and mercury; and cadmium and lead. Respectively, in the multivariate models the following were predictors: maternal age, parity and consumption of freshwater fish and land-based wild animals; marine fish; cigarette smoking, dietary PCA axes reflecting consumption of grains and cereals, and food items involving hunting. PCA of only the POPs separated them into two axes that, in terms of recently published findings, could be understood to reflect longitudinal trends and their relative contributions to summed POPs.

CONCLUSIONS

The linear combinations of variables generated by PCA identified prominent dietary sources of OC groups and of prominent toxic elements and highlighted the importance of maternal characteristics.

摘要

背景

虽然血清或全血中污染物的预测指标通常按化学类别(如持久性有机污染物、有毒和/或必需元素;饮食来源)进行检测,但主成分分析(PCA)允许同时考虑单个物质和组合变量。

目的

我们的研究有两个主要目标:(i)确定作为挪威北部母婴污染物队列研究(MISA研究)一部分招募的孕妇血清和/或全血中一组8种多氯联苯、4种有机氯(OC)农药、5种必需元素和5种有毒元素的来源及预测指标;(ii)确定个人和社会特征对饮食及污染物因素的影响。

方法

招募和采样于2007年5月开始,持续31个月至2009年12月。在孕中期(平均:18.2周,范围9.0 - 36.0周)采集血样/血清样本。使用经过验证的问卷获取个人信息。样本由专业实验室采用经过验证的方法和参考标准进行分析。主成分分析采用方差最大化旋转,线性回归模型中的显著预测指标(p≤0.05)纳入多变量线性回归分析。

结果

考虑所有污染物时,三个显著的主成分分析轴脱颖而出,分别显著负载:所有持久性有机污染物;砷、硒和汞;镉和铅。在多变量模型中,预测指标分别为:母亲年龄、产次以及淡水鱼和陆地野生动物的消费量;海鱼;吸烟、反映谷物和谷类消费的饮食主成分分析轴以及涉及狩猎的食品。仅对持久性有机污染物进行主成分分析将其分为两个轴,根据最近发表的研究结果,可理解为反映了纵向趋势及其对总持久性有机污染物的相对贡献。

结论

主成分分析生成的变量线性组合确定了有机氯类别和显著有毒元素的主要饮食来源,并突出了母亲特征的重要性。

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