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美国国家健康与营养检查调查中有机氯农药联合暴露与子宫肌瘤病史之间的关联:四种统计模型的研究结果

Association between combined exposure to organochlorine pesticides and history of uterine fibroids in NHANES: findings from four statistical models.

作者信息

Chen Yue, Guo Xianwei, Wu Junle, Weng Ruiwen, Wang Xiuping, Liu Yi, Wang Xiaoli, Liu Hengwei

机构信息

Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.

Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.

出版信息

BMC Public Health. 2025 Mar 24;25(1):1112. doi: 10.1186/s12889-025-22274-6.

DOI:10.1186/s12889-025-22274-6
PMID:40128709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11934505/
Abstract

BACKGROUND

Organochlorine pesticides (OCPs) are extensively dispersed throughout the environment, which potentially have harmful impacts on the female reproductive system. Therefore, the purpose of this study was to clarify the association between exposure to OCPs and the history of uterine fibroids in American women.

METHODS

The present study comprised female individuals who were over 20 years old and were selected from the National Health and Nutrition Examination Survey (NHANES). The logistic regression models were used to investigate the associations between eight primary serum OCP compounds and uterine fibroids. The collective impact of OCP compounds on the overall association with uterine fibroids was assessed using three statistical approaches: weighted quantile sum regression (WQS), quantile g-computation model (Qgcomp), and Bayesian kernel machine regression (BKMR) model.

RESULTS

In the end, a total of 931 individuals were included in the analysis. Out of the total, 126 participants were identified as patients with uterine fibroids. Upon accounting for covariables, the logistic regression analysis revealed a positive association between the highest tertiles of OCP compounds and ln-transformed OCP compounds and the history of uterine fibroids. The analysis of WQS and Qgcomp showed that a 25% increase in the mixture of OCPs was associated with a higher likelihood of having a history of uterine fibroids, with odds ratios (ORs) of 1.49 (95% CI: 1.02, 2.19) and 1.64 (95% CI: 1.15, 2.35), respectively. The primary factor behind this association was oxychlordane. In addition, the overall findings of BKMR demonstrated a consistent and increasing pattern, indicating a robust positive association between the amount of serum OCP compounds and the history of uterine fibroid.

CONCLUSION

Our study conclusively established associations between OCPs and history of uterine fibroid. The simultaneous exposure to these chemicals is associated with an increased prevalence of uterine fibroid. Among these chemicals, oxychlordane has the most impact on the overall combined effect.

摘要

背景

有机氯农药(OCPs)广泛散布于整个环境中,可能对女性生殖系统产生有害影响。因此,本研究的目的是阐明美国女性接触OCPs与子宫肌瘤病史之间的关联。

方法

本研究纳入了年龄超过20岁、选自美国国家健康与营养检查调查(NHANES)的女性个体。采用逻辑回归模型研究8种主要血清OCP化合物与子宫肌瘤之间的关联。使用三种统计方法评估OCP化合物对与子宫肌瘤总体关联的综合影响:加权分位数和回归(WQS)、分位数g计算模型(Qgcomp)和贝叶斯核机器回归(BKMR)模型。

结果

最终,共有931名个体纳入分析。其中,126名参与者被确定为子宫肌瘤患者。在考虑协变量后,逻辑回归分析显示OCP化合物最高三分位数和经自然对数转换的OCP化合物与子宫肌瘤病史之间存在正相关。WQS和Qgcomp分析表明,OCPs混合物增加25%与有子宫肌瘤病史的可能性更高相关,优势比(OR)分别为1.49(95%置信区间:1.02, 2.19)和1.64(95%置信区间:1.15, 2.35)。这种关联背后的主要因素是氧氯丹。此外,BKMR的总体结果显示出一致且上升的模式,表明血清OCP化合物量与子宫肌瘤病史之间存在强烈的正相关。

结论

我们的研究最终确定了OCPs与子宫肌瘤病史之间的关联。同时接触这些化学物质与子宫肌瘤患病率增加有关。在这些化学物质中,氧氯丹对总体综合效应的影响最大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/98db723d32f6/12889_2025_22274_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/431ac411f96c/12889_2025_22274_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/d5573645b94f/12889_2025_22274_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/98db723d32f6/12889_2025_22274_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/431ac411f96c/12889_2025_22274_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/2f3ce6b793bd/12889_2025_22274_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/6518de840885/12889_2025_22274_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/d5573645b94f/12889_2025_22274_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d78/11934505/98db723d32f6/12889_2025_22274_Fig5_HTML.jpg

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