空气污染对多囊卵巢综合征发病率的潜在影响:1990年至2021年171个国家和地区的全球分析

IF 4.2 3区 医学 Q1 REPRODUCTIVE BIOLOGY
Yihao Chen, Yangyang Dai, Jiahua Qian, Yuhe Si, Fangyuan Chen, Zhiqing Hong, Jingwei Wang, Chunbao Mo, Jianxiong Ma
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引用次数: 0

摘要

背景:虽然多囊卵巢综合征(PCOS)的发病率与空气污染有关,但空气污染,特别是全球NO₂浓度的波动与PCOS负担之间的关系尚不清楚。在这项生态研究中,我们旨在使用全球疾病负担2021数据集调查这种关系。方法:收集来自171个国家和地区30年(1990-2021年)的PCOS年龄标准化发病率(ASIR)数据。收集了相应的大气污染(NO₂、SO2、颗粒物[PM]、O3)等指标数据。采用混合线性模型和地理检测器评估各指标与PCOS负担的关系。此外,使用加权分位数和回归来估计多次暴露于NO₂、SO₂、PM和O₃对PCOS负担的影响。利用限制性三次样条回归和亚组分析深入了解NO₂与PCOS的关系。结果:混合线性模型和地理检测器的结果表明,NO₂,SO₂,PM和O₃与PCOS的ASIR增加有关。同时,混合线性模型进一步表明PCOS发病率与大气污染物浓度呈正相关。在进一步研究NO₂与PCOS之间的关系时,我们发现NO₂浓度与ASIR之间的关系是非线性的(P为非线性)。结论:多种空气污染物浓度的持续存在和波动,特别是NO₂,可能是PCOS负担增加的潜在因素。这些发现可能表明,空气质量的改善可能与多囊卵巢综合征负担的减轻有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Potential impact of air pollution on polycystic ovary syndrome incidence: a global analysis of 171 countries and regions from 1990 to 2021.

Potential impact of air pollution on polycystic ovary syndrome incidence: a global analysis of 171 countries and regions from 1990 to 2021.

Potential impact of air pollution on polycystic ovary syndrome incidence: a global analysis of 171 countries and regions from 1990 to 2021.

Potential impact of air pollution on polycystic ovary syndrome incidence: a global analysis of 171 countries and regions from 1990 to 2021.

Background: Although polycystic ovary syndrome (PCOS) incidence is associated with air pollution, the relationship between air pollution, especially fluctuations in global NO₂ concentrations, and the burden of PCOS remains unclear. In this ecological study, we aimed to investigate this relationship using the Global Burden of Disease 2021 dataset.

Methods: Data on age-standardized incidence rates (ASIR) of PCOS were collected from 171 countries and regions over a 30-year period (1990-2021). Corresponding data on air pollution (NO₂, SO2, particulate matter [PM], and O3) and other indicators were also collected. Mixed linear models and geographic detectors were used to assess the relationship between various indicators and PCOS burden. Furthermore, the weighted quantile sum regressions were used to estimate the effect of multiple exposures to NO₂, SO₂, PM, and O₃ on the burden of PCOS. Utilizing restricted cubic spline regression and subgroup analysis to gain deeper insights into the association between NO₂ and PCOS.

Results: Results from the mixed linear models and geographic detectors showed that NO₂, SO₂, PM, and O₃ were associated with an increased ASIR of PCOS. Meanwhile, the mixed linear models further demonstrated a positive correlation between the incidence of PCOS and the concentration of air pollutants. In further investigating the relationship between NO₂ and PCOS, we found that the associations between the concentration of NO₂ and ASIR were non-linear (P for non-linear < 0.001). Moreover, the association between NO₂ and PCOS was more pronounced in regions with middle to high economic development.

Conclusions: The continuous presence and fluctuations in the concentrations of multiple air pollutants, particularly NO₂, may be potential contributors to the increasing burden of PCOS. These findings may suggest that improvements in air quality could be associated with a reduced burden of PCOS.

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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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