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评估中年有性生活的女性性功能的预测因素。

Assessing predictors of sexual function in mid-aged sexually active women.

机构信息

Instituto Para la Salud de la Mujer, Vélez 616 y García Avilés, Guayaquil, PO Box 09-02000-70-A, Ecuador.

出版信息

Maturitas. 2011 Apr;68(4):387-90. doi: 10.1016/j.maturitas.2010.12.004. Epub 2011 Jan 14.

DOI:10.1016/j.maturitas.2010.12.004
PMID:21237590
Abstract

OBJECTIVE

To assess predictors of sexual function in mid-aged women.

METHODS

We analyzed data of 262 healthy sexually active women (40-59 years) who filled out the Female Sexual Functioning Index (FSFI), the Menopause Rating Scale (MRS) and a general questionnaire containing female/partner data. Correlations between these two measures were also analyzed.

RESULTS

Significant inverse correlations were found between all FSFI and MRS scores. This was most evident for the MRS urogenital score in relation to FSFI total, pain and lubrication scores. Multiple linear regression analysis determined best model predicting total FSFI index scores that explained a 66% of the variance. In this model, MRS urogenital score was an important predictor of female sexual function (total FSFI scores) with a significant inverse relation. Additionally total FSFI scores displayed a significant positive correlation with female educational level and HT use and an inverse relation with partner age and female parity.

CONCLUSION

Several female/partner factors predicted female sexual function in this mid-aged series. MRS urogenital scores significantly correlated with total FSFI scores.

摘要

目的

评估中年女性性功能的预测因素。

方法

我们分析了 262 名健康、有性生活的女性(40-59 岁)的数据,这些女性填写了女性性功能指数(FSFI)、绝经评分量表(MRS)和一份包含女性/伴侣数据的一般问卷。还分析了这两个测量值之间的相关性。

结果

FSFI 和 MRS 评分之间存在显著的负相关。MRS 泌尿生殖评分与 FSFI 总分、疼痛和润滑评分的相关性最为明显。多元线性回归分析确定了预测 FSFI 总分的最佳模型,该模型解释了 66%的方差。在这个模型中,MRS 泌尿生殖评分是女性性功能(FSFI 总分)的一个重要预测因素,呈显著负相关。此外,FSFI 总分与女性受教育程度和 HT 使用呈显著正相关,与伴侣年龄和女性产次呈负相关。

结论

在这个中年系列中,一些女性/伴侣因素预测了女性的性功能。MRS 泌尿生殖评分与 FSFI 总分显著相关。

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