BMI modifies the association between dietary intake and serum levels of PCBs

被引:16
作者
Lan, Tuo [1 ]
Liu, Buyun [2 ]
Bao, Wei [2 ]
Thorne, Peter S. [1 ,3 ]
机构
[1] Univ Iowa, Coll Publ Hlth, Dept Occupat & Environm Hlth, Iowa City, IA USA
[2] Univ Iowa, Coll Publ Hlth, Dept Epidemiol, Iowa City, IA USA
[3] Univ Iowa, Human Toxicol Program, Iowa City, IA USA
关键词
Body mass index; Diet; Persistent organic pollutants; Polychlorinated biphenyls; Serum; POLYCHLORINATED-BIPHENYLS; UNITED-STATES; PREGNANT-WOMEN; ADIPOSE-TISSUE; PLASMA-LEVELS; FOOD-CHAIN; EXPOSURE; DIOXINS; METABOLITES; PREDICTORS;
D O I
10.1016/j.envint.2021.106626
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Polychlorinated biphenyls (PCBs) are a group of persistent organic pollutants that are carcinogenic, neurotoxic, and endocrine disrupting in humans. Although diet is the primary source of exposure, there is no consensus on the association between dietary intake and serum PCBs. Additionally, body mass index (BMI) - with its inverse association with serum PCBs - may play a role in the association, which has never been studied. Therefore, we aimed to examine the association between dietary intake and serum levels of PCBs, and whether the association was modified by BMI. We used data from the National Health and Nutrition Examination Survey (NHANES) 2003-2004, including 1531 participants. We estimated dietary intake of PCBs using the 24-hour diet recall, USDA Food Composition Intake Database, and PCB content in foods from the Canada Total Diet Study. Serum PCBs were measured by high-resolution gas chromatography-mass spectrometry (HRGC-HRMS). We used linear regression to examine the associations of dietary PCB intake with serum levels of seven PCB congeners and six PCB metrics. Further, we explored the role of BMI in the associations. We found that participants who were older and non-Hispanic tended to have a higher serum level of Sigma 37-PCB. In addition, we observed positive associations between dietary intake and serum PCBs for: PCB 105, 118, 126, 138 + 158, and 153 (P value ranges 0.005-0.03); seven PCB indicators (P value = 0.03) and the sum of 37 PCBs (P value = 0.04). Furthermore, we observed an effect modification by BMI (P for interaction = 0.01 for Sigma 37-PCBs), with stronger associations in underweight or normal-weight individuals, and no association in overweight and obese individuals. In conclusion, within a cross-sectional, nationally representative sample of the US population, dietary PCB intake was positively associated with serum PCBs and the association was modified by BMI. Additional studies are warranted to replicate and confirm this effect modification.
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页数:9
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