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目的通过多中心合作,调查了解2011年广西部分地区生育男性精液质量情况。方法对2011年1~12月在广西壮族自治区南宁、柳州及桂林3个地区4家医院生殖中心进行婚前检查及生育健康体检的男性,共提取精液标本965份,严格按照纳入标准,对相关人员进行统一的精液分析和问卷培训,分析纳入人群的整体精液质量,比较不同年龄段、民族、地区、文化程度男性的精液质量差异。结果精液质量综合分析结果显示,965例精液标本中前向运动精子比例达到标准值的仅为61.7%,其次为精子形态,为73.5%,其余指标达标率超过80.0%。精液质量分年龄段分析,精子活力和前向运动精子值在18~<30岁组最高,分别为(64.493±17.199)%、(47.478±15.305)%,与30~<40岁组和≥40岁组比较,差异均有统计学意义(P<0.05)。汉族男性精液密度值最大,而壮族人群精子形态学检查值最大。桂林地区人群精液密度值最大,精液形态学检查值最小。文化程度对精液质量无影响。结论广西壮族自治区部分地区精液质量中精子运动能力偏差和畸形程度较高,并有地方差异,需要进一步完善调查数据,明确影响因素。
Objective To investigate and understand the quality of male fertility in some areas of Guangxi in 2011 through multi-center cooperation. Methods A total of 965 sperm samples were collected from males who had premarital and physical examinations in four hospitals in Nanning, Liuzhou and Guilin from January to December 2011 in the district of Guangxi Zhuang Autonomous Region. SAGE samples were collected strictly according to the inclusion criteria. Uniform semen analysis and questionnaire training were conducted to analyze the overall quality of semen included in the population and to compare the semen quality differences among men of different age groups, ethnic groups, regions and educational levels. Results The results of semen quality analysis showed that the percentage of forward motile sperm in 965 semen samples was only 61.7%, followed by sperm morphology at 73.5%, and the other indicators reached 80.0%. Semen quality by age analysis, sperm motility and forward motility sperm values in 18 ~ <30 years old group were the highest (64.493 ± 17.199)%, (47.478 ± 15.305)%, and 30 to 40 years old group and ≥ 40 The difference between the two groups was statistically significant (P <0.05). Han male semen density value is the largest, while Zhuang population sperm morphology test value is the largest. Guilin, the largest population semen density, semen morphology check value minimum. Education has no effect on semen quality. Conclusion In some areas of Guangxi Zhuang Autonomous Region, sperm motility deviations and deformities are higher in sperm quality and there are local differences. Therefore, it is necessary to further improve the survey data and clarify the influencing factors.