在选定的Vijayapur不孕症中心评估与妇女原发性不孕症相关的高危因素的研究

R. Kalyani, Dr. Shwetha Hitnal, Ms. Samreen Awati, Ms. Sudharani Arkeri, Mr. Shankarling Javali
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引用次数: 0

摘要

女性年龄是影响生育能力的最重要因素。女性在出生时就拥有了所有的卵子,从出生开始,卵子的数量每天都在减少。在年轻女性中,这种下降是相当缓慢的(每天只有几个卵子“丢失”),但随着女性接近35岁至40岁,这种下降会变得更加陡峭(每天“丢失”的卵子更多)。除了可用卵子数量的减少,随着女性年龄的增长,卵子的质量也会下降。可用卵子数量和质量的降低意味着老年妇女怀孕的可能性更小,如果怀孕了,她们更有可能流产。男性生育能力也可能随着年龄的增长而下降,尽管程度要小得多。该研究的目的是评估与女性原发性不孕症相关的危险因素。材料与方法:采用有目的抽样方法,选取130名妇女。采用描述性和推理性统计方法对数据进行分析。结果:原发性不孕症与妇科特征(如经前症候群的存在)、心理特征(如工作/社会压力)、生活方式(如被动吸烟和交媾)和文件计划(如BMI)有关,诊断为不孕症的原因,暴露于被动吸烟与收入/月有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study to Assess the High Risk Factors Associated with Primary Infertility Among Women at Selected Infertility Centre Vijayapur
: Female age is the most important factor affecting fertility. Women are born with all the eggs they will ever have and the number of eggs available decreases each day from birth onwards. In young women the decline is fairly gradual (only a few eggs are ‘lost’ each day), but as women approach their mid to late 30s, the decrease gets much steeper (many more eggs are ‘lost’ each day). In addition to this decrease in the number of eggs available, the quality of the eggs also declines as women get older. This reduction in both the quantity and quality of available eggs means that older women are less likely to get pregnant and, if they do get pregnant, they are more likely to have a miscarriage. Male fertility may also decrease with age although to a much lesser degree. The aim of the study is to assess the risk factors associated with primary infertility among women. Materials and methods: 130 women’s were selected making use of purposive sampling techniques. Data were analysed by using descriptive and inferential statistical methods. Result: The study result shows that primary infertility was found to be associated with gynaecological characteristic such presence of PMS, psychological characteristics such job/social stress, lifestyle such passive smoking and coitus and document schedule such BMI and diagnosed cause of infertility and Exposed to passive smoking was observed to be associated with income/month.
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