Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia; CSIRO, Energy, Sydney, Australia.
Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia.
Environ Res. 2019 Jan;168:439-444. doi: 10.1016/j.envres.2018.10.029. Epub 2018 Oct 27.
The potential mitigation of elevated blood lead (PbB) levels with nutrient intake remains debatable. A comprehensive review by Kordas (2017) concluded that careful examination of the links between nutrition (nutritional status, nutrients, diet) and lead (Pb) exposure revealed limited and tenuous evidence. We have measured 20 elements including calcium (Ca), chromium (Cr), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), nickel (Ni), zinc (Zn), and Pb from 6-day duplicate diets of 108 young children over a 5-year period and expressed these as intakes per body weight. Bivariate analyses showed a weak positive association between the Pb content in the diets of the participants and the level of Pb in their blood, as might be expected. Weak, but negative, associations occurred between the other elements in the diet and PbB. The associations for Ca, Mg, Ni and Zn were statistically significant for both subject-based (between subjects) and within-subject effects: that is, as the levels of elements in diet increased, the PbB level decreased. The largest percentage of variance of PbB in the context of the bivariate model accounted for was 4.23% for Zn, followed by Ca (3.91%) and Fe (2.20%). Supplementary analyses indicated that the between- and within-subject effects did not vary with the age at which participants entered the study, or with the levels of elements at their first measurement. A multivariable analysis using Weighted Quantile Sum Regressions showed that a weighted composite comprised of all the dietary elements had a significant association with PbB when adjusted for Pb in the diet and other covariates and also when adjusted for Pb in house dust; the latter was found to have the strongest association with PbB in earlier analyses. The highest weights were for Ca (0.29), Ni (0.27) and Zn (0.22); these results are generally consistent with those from the mixed model analyses.
营养摄入对降低血铅(PbB)水平的潜在作用仍存在争议。Kordas(2017 年)的全面综述得出结论,仔细研究营养(营养状况、营养素、饮食)与铅(Pb)暴露之间的联系,结果表明证据有限且不确凿。我们在五年期间对 108 名幼儿的 6 天重复饮食进行了 20 种元素(包括钙(Ca)、铬(Cr)、铜(Cu)、铁(Fe)、镁(Mg)、锰(Mn)、镍(Ni)、锌(Zn)和 Pb)的测量,并将其表示为每体重的摄入量。双变量分析显示,参与者饮食中的 Pb 含量与血液中的 Pb 水平之间存在微弱的正相关,这可能是意料之中的。饮食中的其他元素与 PbB 之间存在微弱的负相关。Ca、Mg、Ni 和 Zn 与基于个体的(个体之间)和个体内效应均具有统计学意义:即,随着饮食中元素水平的升高,PbB 水平降低。在双变量模型中,PbB 方差的最大百分比为 4.23%,Zn 最大,其次是 Ca(3.91%)和 Fe(2.20%)。补充分析表明,在研究开始时参与者的年龄或他们第一次测量时的元素水平,并不影响个体内和个体间的效应。使用加权分位数总和回归进行的多变量分析表明,当调整饮食中的 Pb 和其他协变量以及调整房屋灰尘中的 Pb 时,由所有饮食元素组成的加权组合与 PbB 呈显著相关;在早期分析中发现,后者与 PbB 的相关性最强。权重最高的是 Ca(0.29)、Ni(0.27)和 Zn(0.22);这些结果与混合模型分析的结果基本一致。