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精液参数的季节性变化与环境温度和空气污染有关:超过 6 年的大数据分析。

Seasonal variation of semen parameters correlates with environmental temperature and air pollution: A big data analysis over 6 years.

机构信息

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy; Department of Medicine, Endocrinology, Metabolism and Geriatrics, Azienda Ospedaliero-Universitaria of Modena, Italy.

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy; Department of Medicine, Endocrinology, Metabolism and Geriatrics, Azienda Ospedaliero-Universitaria of Modena, Italy.

出版信息

Environ Pollut. 2018 Apr;235:806-813. doi: 10.1016/j.envpol.2018.01.021. Epub 2018 Feb 21.

DOI:10.1016/j.envpol.2018.01.021
PMID:29353799
Abstract

BACKGROUND

Male fertility is progressively declining in many developed countries, but the relationship between male infertility and environmental factors is still unclear.

OBJECTIVES

To assess the influence of environmental temperature and air pollution on semen parameters, using a big-data approach.

METHODS

A big data analysis of parameters related to 5131 men, living in a province of Northern Italy and undergoing semen analyses between January 2010 and March 2016 was performed. Ambient temperature was recorded on the day of analysis and the 90 days prior to the analysis and the average value of particulate matter (PM) and NO2 in the year of the test. All data were acquired by geocoding patients residential address. A data warehouse containing 990,904,591 data was generated and analysed by multiple regressions.

RESULTS

5573 semen analyses were collected. Both maximum and minimum temperatures registered on the day of collection were inversely related to total sperm number (p < .001), non-progressive motility (NPrM) (p < .005) and normal forms (p < .001). Results were confirmed considering temperature in the 30 and 60 days before collection, but not in the 90 days before collection. Total sperm number was lower in summer/autumn (p < .001) and was inversely related with daylight duration (p < .001). PM10 and PM2.5 were inversely related to PrM (p < .001 and p < .005) and abnormal forms (p < .001).

CONCLUSIONS

This is the first evaluation of the relationship between male fertility-related parameters and environment using a big-data approach. A seasonal change in semen parameters was found, with a fluctuation related to both temperature and daylight duration. A negative correlation between air pollution and semen quality is suggested. Such seasonal and environmental associations should be considered when assessing changes of male fertility-related parameters over time.

摘要

背景

在许多发达国家,男性生育能力正在逐渐下降,但男性不育与环境因素之间的关系仍不清楚。

目的

采用大数据分析方法评估环境温度和空气污染对精液参数的影响。

方法

对居住在意大利北部一个省的 5131 名男性的 5131 份精液分析参数进行了大数据分析。在分析当天及分析前 90 天记录环境温度,测试当年记录颗粒物(PM)和二氧化氮(NO2)的平均值。所有数据均通过地理编码患者的居住地址获得。生成了一个包含 990904591 条数据的数据仓库,并通过多元回归进行分析。

结果

共收集 5573 份精液分析。采集当天的最高和最低温度均与总精子数(p < 0.001)、非前向运动精子(NPrM)(p < 0.005)和正常形态(p < 0.001)呈负相关。考虑到采集前 30 天和 60 天的温度,结果得到了证实,但在采集前 90 天的温度则没有得到证实。夏季/秋季的总精子数较低(p < 0.001),且与日照时间呈负相关(p < 0.001)。PM10 和 PM2.5 与 PrM(p < 0.001 和 p < 0.005)和异常形态(p < 0.001)呈负相关。

结论

这是首次采用大数据分析方法评估男性生育相关参数与环境之间的关系。发现精液参数存在季节性变化,波动与温度和日照时间有关。提示空气污染与精液质量呈负相关。在评估男性生育相关参数随时间的变化时,应考虑这种季节性和环境关联。

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