Suppr超能文献

美国成年人血液和尿液金属代谢物浓度与肥胖、高血压、2 型糖尿病和血脂异常的关系:NHANES 1999-2016 年。

The Associations between Blood and Urinary Concentrations of Metal Metabolites, Obesity, Hypertension, Type 2 Diabetes, and Dyslipidemia among US Adults: NHANES 1999-2016.

机构信息

School of Kinesiology and Health Science, York University, Toronto M3J 1P3, Canada.

出版信息

J Environ Public Health. 2021 Oct 25;2021:2358060. doi: 10.1155/2021/2358060. eCollection 2021.

Abstract

BACKGROUND

Heavy metals are well known to be associated with cancer outcomes, but its association with obesity and cardiometabolic risk outcomes requires further study.

METHODS

Adult data from the National Health and Examination Survey (NHANES Continuous 1999-2016,  = 12,636 to 32,012) with data for blood or urinary metals concentrations and body mass index were used. The study aim was twofold: (1) to determine the association between heavy metals and obesity and (2) to examine the influence of heavy metals on the relationship between obesity and hypertension, type 2 diabetes, and dyslipidemia. Logistic regression was used to examine the main effects and interaction effects of metals and obesity for the odds of prevalent hypertension, type 2 diabetes, and dyslipidemia. Models were adjusted for age, gender, ethnicity, smoking status, physical active status, and poverty-income ratio, with additional adjustment for creatinine in models with the urinary measures of heavy metals. High-low concentration categories were defined by grouping metal quintiles with the most similar associations with obesity.

RESULTS

Blood lead had a negative linear association with obesity (odds ratio (OR)  = 0.42, 95% confidence interval (CI) = 0.37-0.47). In those with obesity, high blood lead was associated with lower risk of prevalent dyslipidemia, while no association was found in those without obesity. The study observed a curvilinear relationship between urinary antimony and obesity with the moderate group having the highest odds of obesity (OR = 1.36, 1.16-1.59). However, the relationship between urinary antimony and prevalent hypertension and dyslipidemia risk was linear, positive, and independent of obesity. While not associated with prevalent obesity risk, high urinary uranium was associated with 30% (=0.01) higher odds for prevalent type 2 diabetes.

CONCLUSIONS

The impact of environmental factors on obesity and health may be complex, and this study reinforces the heterogeneous relationship between various metals, obesity, and obesity-related metabolic diseases even at levels observed in the general population.

摘要

背景

重金属众所周知与癌症结果有关,但它与肥胖和心脏代谢风险结果的关系需要进一步研究。

方法

使用来自国家健康和体检调查(NHANES 连续 1999-2016 年,=12636 至 32012)的成人数据,这些数据包含血液或尿液中金属浓度和体重指数的数据。研究目的有两个:(1)确定重金属与肥胖之间的关系,(2)研究重金属对肥胖与高血压、2 型糖尿病和血脂异常之间关系的影响。使用逻辑回归来检验金属和肥胖对高血压、2 型糖尿病和血脂异常患病率的主要影响和交互影响。模型调整了年龄、性别、种族、吸烟状况、身体活动状况和贫困收入比,尿液重金属测量模型还调整了肌酐。高-低浓度类别通过将与肥胖关系最相似的金属五分位数分组来定义。

结果

血液铅与肥胖呈负线性关系(比值比(OR)=0.42,95%置信区间(CI)=0.37-0.47)。在肥胖者中,高血铅与较低的血脂异常患病率相关,而在非肥胖者中则没有发现这种关联。研究观察到尿锑与肥胖之间存在曲线关系,中等组肥胖的可能性最高(OR=1.36,1.16-1.59)。然而,尿锑与高血压和血脂异常风险之间的关系是线性的、正相关的,且独立于肥胖。虽然与肥胖患病率无关,但高尿铀与肥胖患病率增加 30%(=0.01)相关。

结论

环境因素对肥胖和健康的影响可能很复杂,本研究强化了各种金属、肥胖和肥胖相关代谢疾病之间的关系即使在一般人群中观察到的水平也是异质的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0252/8560296/ffdeb1ce7307/JEPH2021-2358060.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验