Metabolic syndrome is associated with exposure to organochlorine pesticides in Anniston, AL, United States.
Metabolic syndrome is associated with exposure to organochlorine pesticides in Anniston, AL, United States.
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DOI：
10.1016/j.envint.2017.07.017
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发表时间：
2017-11
影响因子：
11.8
通讯作者：
Pavuk M
中科院分区：
文献类型：
--
作者：
Rosenbaum PF;Weinstock RS;Silverstone AE;Sjödin A;Pavuk M
安尼斯顿社区健康调查是一项横断面研究，于 2005 年至 2007 年进行，旨在研究美国阿拉巴马州安尼斯顿居民的多氯联苯 (PCB) 和有机氯 (OC) 农药环境暴露情况以及健康结果。本次分析的重点是检查这些污染物与代谢综合征、一系列心血管危险因素（即高血压、向心性肥胖、血脂异常和血糖异常）之间的潜在风险。参与者为 548 名成年人，他们完成了调查和门诊就诊，没有糖尿病，并采集了临床实验室参数以及 PCB 和 OC 农药浓度的血清样本。使用广义线性模型和逻辑回归检查了 35 种 PCB 同系物和 9 种农药的总浓度与代谢综合征之间的关联；报告比值比 (OR) 和 95% 置信区间 (CI)。污染物以五分位数和连续血清浓度的对数变换进行评估。参与者大多为女性 (68%)，平均年龄 (SD) 为 53.6 (16.2) 岁。种族分布为 56% 白人和 44% 非洲裔美国人； 49% 符合代谢综合征的标准。在未经调整的逻辑回归中，7 种单独建模的农药（p,p'-DDT、p,p'-DDE、HCB、β-HCCH、氧氯、tNONA、灭蚁灵）在大多数五分位数中都存在统计显着性和正相关性。调整协变量（即年龄、性别、种族、教育程度、婚姻状况、当前吸烟、饮酒、糖尿病或心血管疾病的阳性家族史、肝病、BMI）后，发现多个五分位数的 p,p'-DDT（OR 范围 1.61 至 2.36）、tNONA（OR 范围 1.62-2.80）和 p,p'-DDE 风险显着升高相对于第一个五分位数，最高五分位数的 [OR (95% CI)] 为 2.73 (1.09–6.88)。在 log10 HCB [OR = 6.15 (1.66–22.88)]、log10 氧氯 [OR = 2.09 (1.07–4.07)] 和 log10 tNONA [3.19 (1.45–7.00)] 的调整逻辑模型中观察到显着趋势。仅在未经调整的模型中，PCB 总浓度与代谢综合征显着呈正相关；调整导致五分位数模型和对数转换模型中的 OR 衰减。总之，在安尼斯顿研究人群中，发现几种 OC 农药与代谢综合征有显着关联，而 PCB 则没有观察到关联。
The Anniston Community Health Survey, a cross-sectional study, was undertaken in 2005–2007 to study environmental exposure to polychlorinated biphenyl (PCB) and organochlorine (OC) pesticides and health outcomes among residents of Anniston, AL, United States. The examination of potential risks between these pollutants and metabolic syndrome, a cluster of cardiovascular risk factors (i.e., hypertension, central obesity, dyslipidemia and dysglycemia) was the focus of this analysis. Participants were 548 adults who completed the survey and a clinic visit, were free of diabetes, and had a serum sample for clinical laboratory parameters as well as PCB and OC pesticide concentrations. Associations between summed concentrations of 35 PCB congeners and 9 individual pesticides and metabolic syndrome were examined using generalized linear modeling and logistic regression; odds ratios (OR) and 95% confidence intervals (CI) are reported. Pollutants were evaluated as quintiles and as log transformations of continuous serum concentrations. Participants were mostly female (68%) with a mean age (SD) of 53.6 (16.2) years. The racial distribution was 56% white and 44% African American; 49% met the criteria for metabolic syndrome. In unadjusted logistic regression, statistically significant and positive associations across the majority of quintiles were noted for seven individually modeled pesticides (p,p′-DDT, p,p′-DDE, HCB, β-HCCH, oxychlor, tNONA, Mirex). Following adjustment for covariables (i.e., age, sex, race, education, marital status, current smoking, alcohol consumption, positive family history of diabetes or cardiovascular disease, liver disease, BMI), significant elevations in risk were noted for p,p′-DDT across multiple quintiles (range of ORs 1.61 to 2.36), for tNONA (range of ORs 1.62–2.80) and for p,p′-DDE [OR (95% CI)] of 2.73 (1.09–6.88) in the highest quintile relative to the first. Significant trends were observed in adjusted logistic models for log10 HCB [OR = 6.15 (1.66–22.88)], log10 oxychlor [OR = 2.09 (1.07–4.07)] and log10 tNONA [3.19 (1.45–7.00)]. Summed PCB concentrations were significantly and positively associated with metabolic syndrome only in unadjusted models; adjustment resulted in attenuation of the ORs in both the quintile and log-transformed models. In conclusion, several OC pesticides were found to have significant associations with metabolic syndrome in the Anniston study population while no association was observed for PCBs.
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影响因子：
7.7
作者：
Dalmas, Elise;Venteclef, Nicolas;Guerre-Millo, Michele
通讯作者：
Guerre-Millo, Michele
DOI：
10.1161/atvbaha.107.151092
发表时间：
2008-04-01
影响因子：
8.7
作者：
Grundy, Scott M.
通讯作者：
Grundy, Scott M.
影响因子：
8.8
作者：
Chang, J. W.;Ou, H. Y.;Lee, C. C.
通讯作者：
Lee, C. C.
影响因子：
24
作者：
Beltran-Sanchez, Hiram;Harhay, Michael O.;Harhay, Meera M.;McElligott, Sean
通讯作者：
McElligott, Sean
影响因子：
10.4
作者：
Kim MJ;Pelloux V;Guyot E;Tordjman J;Bui LC;Chevallier A;Forest C;Benelli C;Clément K;Barouki R
通讯作者：
Barouki R