背景:先前的研究已经探讨了血清铅水平与女性乳腺癌(FBC)风险之间的关系。然而,尿铅水平是否与FBC相关尚不确定.本研究旨在探讨尿铅与FBC之间的潜在关联。
方法:使用国家健康与营养调查(NHANES)进行了横断面病例对照研究,这是一系列的横截面,对美国人口的全国代表性调查,包括1999年至2018年的10次调查波。这项研究分析了总共2795名女性参与者(≥20岁),由210名FBC参与者和2585名健康对照组成。使用电感耦合等离子体质谱法检测尿铅,通过使用四分位数定义的切点将其分为四个级别。采用多因素logistic回归分析尿铅与FBC的相关性。
结果:多因素logistic回归分析显示尿铅与FBC呈正相关(比值比[OR],2.16;95%置信区间[CI]:[1.18,3.95],p<0.05)在完全调整的模型中。四分位数4(Q4)和四分位数3(Q3)的FBCOR显着增加,与最低四分位数1(Q1)(Q4,OR=1.48,95%CI[0.89,2.48];Q3:OR=1.01,95%CI[0.59,1.73],趋势的p=0.021)。亚组之间的尿铅水平和FBC之间没有观察到显着的交互作用(年龄,种族,教育状况,体重指数(BMI),婚姻状况,家庭收入与贫困率,高血压状态,糖尿病状态,肾功能状态,吸烟史,曾经怀孕,口服避孕药的使用,职业分类,等。)(所有相互作用p值>0.05)。
结论:在美国人群中,尿铅可能与FBC呈正相关。
BACKGROUND: Previous studies have explored the relationship between serum lead levels and the risk of female breast cancer (FBC). However, it is still uncertain whether urinary lead levels are associated with FBC. This
study aimed to investigate the potential association between urinary lead and FBC.
METHODS: A cross-sectional case-control
study was conducted using the National Health and Nutrition Examination Survey (NHANES), which is a series of cross-sectional, nationally representative surveys of the United States population consisting of 10 survey waves from 1999 to 2018. This
study analyzed a total of 2795 female participants (≥20 years), consisting of 210 participants with FBC and 2585 healthy controls. Urinary lead was detected using Inductively Coupled Plasma-Mass Spectrometry, which was divided into four levels by using quartiles-defining cut points. Multivariate logistic regression was used to analyze the association between urinary lead and FBC.
RESULTS: Multivariate logistic regression revealed that urinary lead was positively correlated with FBC (Odds ratio [OR], 2.16; 95% confidence interval [CI]: [1.18, 3.95], p < 0.05) in a fully adjusted model. There were significantly increased ORs of FBC in quartile 4 (Q4) and quartile 3 (Q3), compared with the lowest quartile 1 (Q1) (Q4, OR = 1.48, 95% CI [0.89, 2.48]; Q3: OR = 1.01, 95% CI [0.59, 1.73], p for trend = 0.021). No significant interaction effects were observed between urinary lead levels and FBC between the subgroups (age, race, educational status, body mass index (BMI), marital status, family income to poverty ratio, hypertension status, diabetes status, renal function status, smoking history, ever been pregnant, oral contraceptive use, occupation classification, etc.) (All interaction p-value > 0.05).
CONCLUSIONS: Urinary lead is likely positively associated with FBC in the US population.