绝经后抑郁症状的过程:综述。

Katherine E Campbell, Cassandra E Szoeke, Lorraine Dennerstein
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引用次数: 8

摘要

随着澳大利亚人口的老龄化,越来越多的女性进入更年期的绝经后阶段,但关注卵巢衰老这一阶段抑郁症状患病率的研究却很少。这篇综述将检查研究提供的信息,这些研究有一个具有足够持续时间的数据的队列,以探索绝经后早期和晚期的抑郁症状患病率。通过检索MEDLINE(1980-2014)和PsycINFO(1980-202014)数据库,确定了绝经后过渡妇女的纵向流行病学研究,包括情绪和/或抑郁症状的测量。包括至少有两个评估时间点的基于人群的研究。没有将女性归类为绝经后妇女的衰老纵向研究不包括在内,因为这不在本综述的范围内。抑郁症状的患病率估计在不同的研究中有所不同,从8.5%到25.7%不等,其中22%到25%的百分比报告最为一致。在除一项研究外的所有研究中,绝经后手术组的抑郁症状评分较高,为18-42%,严重抑郁障碍的发生率较高。重度抑郁症的患病率也各不相同,范围从
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The course of depressive symptoms during the postmenopause: a review.

The course of depressive symptoms during the postmenopause: a review.

The course of depressive symptoms during the postmenopause: a review.

As the Australian population ages, significantly more women are entering the postmenopausal stage of the climacteric, yet research focusing on the prevalence of depressive symptoms in this stage of ovarian ageing is scarce. This review will examine the information provided by studies that have a cohort with data of adequate duration to explore depressive symptom prevalence in the early and late postmenopause. Longitudinal epidemiological studies of women transitioning through the postmenopause that included measures of mood and/or depressive symptoms were identified through searches of MEDLINE (1980-2014) and PsycINFO (1980-2014) databases. Population based studies with at least two time points of assessment were included. Longitudinal studies of ageing that did not categorise women as postmenopausal were not included, as this was outside the scope of this review. Prevalence estimates of depressive symptoms varied between studies and ranged from 8.5 % to 25.7 % with percentages between 22 and 25 % being most consistently reported. Surgical postmenopause groups reported higher ratings of depressive symptoms at 18-42 % and higher incidence of major depressive disorder in all but one study. The prevalence of Major Depressive Disorder also varied with ranges from <1 % to 42 % reported. Wide ranges in prevalence were reported in the literature. Differences in definitions, inconsistent sample sizes and varying measures make it difficult to compare results across studies. The specific inclusions and exclusions of sub-samples of larger cohorts are at times inconsistent with epidemiological acquisition and, as such, impact upon generalizability of results to a healthy population.

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