关于不坚持避孕方法的知识它能降低死亡率吗?

Luis Facundo Gramajo Cortez
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引用次数: 0

摘要

简介:在秘鲁,78.1%的15岁至49岁的妇女使用避孕方法,但由于不遵守避孕方法的各种因素,这种方法会减少,从而导致意外怀孕和性传播疾病的传播。目的:根据ENDES 2021,确定秘鲁育龄妇女不遵守避孕方法的相关因素。方法:观察、分析和横断面研究。所使用的信息可在ENDES 2021公共数据库中找到。这项研究的人群由15岁至49岁的秘鲁女性组成。采用SPSS 26.0版统计软件进行统计分析。定性变量用单变量表表示,表中有频率和变异系数。在95%置信区间内,经批准的统计学显著性值为p<0.05。结果:43.7%的妇女没有坚持避孕方法。变量之间存在显著关联:农村居住面积(1.05印尼盾,IC1-1.1)、分居婚姻状况(1.1印尼盾,IC 1-1.1),寡妇婚姻状况(1.3印尼盾,1.1-1.5印尼盾),同居婚姻状况(1.1-1.2印尼盾),贫困财富指数(Rpa 1.03,IC 0.9-1.0)结论:秘鲁育龄妇女不遵守避孕方法的相关因素有:农村地区、单独婚姻状况、寡妇和同居者以及贫困财富指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge about non-adherence to contraceptive methods Could it decrease mortality?
ntroduction: In Peru, 78.1% of women between the ages of 15 and 49 use a contraceptive method, which is diminished by various factors associated with non-adherence to the contraceptive method, thus producing unwanted pregnancies and the spread of sexually transmitted diseases. Objective: To determine the factors associated with non-adherence to contraceptive methods in women of childbearing age in Peru according to ENDES 2021. Methods: Observational, analytical and cross-sectional study. The information used is found in the ENDES 2021 public database. The population of this research is made up of Peruvian women between the ages of 15 and 49. Statistical analysis was performed with the statistical program SPSS version 26.0. The qualitative variables were represented in a univariate table with frequencies and coefficients of variation. The approved statistical significance value was p <0.05 with 95% confidence intervals. Results: 43.7% of women did not adhere to the contraceptive method. There was a significant association for the variables: area of rural residence (Rpa 1.05 IC 1 – 1.1), separated marital status (Rpa 1.1, IC 1 – 1.1), widow marital status (Rpa 1.3, IC 1.1 – 1.5), cohabiting marital status ( Rpa 1.1, IC 1.1 – 1.2) , poor wealth index (Rpa 1.03, IC 0.9 – 1.0) Conclusions: The factors associated with non-adherence to contraceptive methods in women of childbearing age in Peru, which are significantly associated are: Rural area of residence, separate marital status, widow and cohabitant and have a poor wealth index.
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