肯尼亚育龄妇女对生育期的了解:基于 2022 年肯尼亚人口与健康调查的多层次分析。

IF 2.2 Q2 OBSTETRICS & GYNECOLOGY
Bezawit Melak Fente, Yordanos Sisay Asgedom, Zufan Alamrie Asmare, Tirusew Nigussie Kebede, Beyene Sisay Damtew, Tadesu Wondu Workneh, Muluken Adamu Beyene, Beminate Lemma Seifu
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引用次数: 0

摘要

背景:对生育期的了解有助于妇女避免和进行性交,从而避免怀孕和怀孕。在肯尼亚,社区层面的因素对生育期知识的影响尚不清楚。因此,我们旨在调查肯尼亚育龄妇女生育期知识的社区和个人层面决定因素:本研究使用了 2022 年肯尼亚人口与健康调查的数据。这项研究包括 16901 名育龄妇女。为考虑人口与健康调查数据的聚类效应和结果变量的二元性质,采用了多层次二元逻辑回归模型。报告了带有 95% 置信区间的调整后几率,以表明统计意义。此外,偏差最小的模型是最适合数据的模型:肯尼亚妇女对生育期知识的总体普及率为 38.1%(95%CI = 37.3,38.9)。妇女的年龄、妇女的教育状况、听说过的 FP、避孕药具的使用情况、媒体接触以及与医疗机构的距离是重要的个人因素,而居住地和社区教育则是与生育期知识密切相关的所有因素:根据我们的研究结果,肯尼亚育龄妇女对生育期的了解程度很低。在越来越多的人拒绝基于激素的计划生育的时代,基于生育意识的计划生育方法可能是一种选择。通过教育和媒体宣传来推广正确的生育期可能是加强生育决策的有益策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge of fertility period among reproductive age women in Kenya: a multilevel analysis based on 2022 Kenyan demographic and health survey.

Background: Knowledge of the fertility period aids women in refraining and engaging in sexual intercourse to avoid and to get pregnant, respectively. The effect of community-level factors on knowledge of the fertility period was not yet known in Kenya. Therefore, we aimed to investigate the community- and individual-level determinants of knowledge of fertility period among women of childbearing age in Kenya.

Methods: The 2022 Kenyan Demography and Health Survey data was used for the current study. This study included 16,901 women of reproductive age. To account for the clustering effects of DHS data and the binary nature of the outcome variable, a multilevel binary logistic regression model was applied. An adjusted odds ratio with a 95% confidence interval was reported to declare the statistical significance. In addition, the model that had the lowest deviance was the one that best fit the data.

Results: The overall prevalence of knowledge of the fertility period among Kenyan women was 38.1% (95%CI = 37.3, 38.9). Women's age, women's education status, heard FP, contraceptive use, media exposure, and distance from health facility significant individual factors while place of residence, and community-level education, were all of factors were found to be strongly associated with knowledge of fertility period.

Conclusion: As per the findings of our study, Knowledge of the fertility period among reproductive women was low in Kenya. In the era of increasing refusal of hormone-based family planning, fertility-awareness-based family planning methods may be an option. Promoting the correct fertility period through education and media outreach may be helpful strategies for enhancing fertility decision-making.

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