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150例有经前综合征病史女性症状的趋势分析。

Trend analysis of the symptoms of 150 women with a history of the premenstrual syndrome.

作者信息

Magos A L, Brincat M, Studd J W

出版信息

Am J Obstet Gynecol. 1986 Aug;155(2):277-82. doi: 10.1016/0002-9378(86)90808-2.

Abstract

The daily symptom records of 150 untreated women with a convincing history of the premenstrual syndrome were investigated qualitatively and quantitatively by means of time series analysis in the form of Trigg's technique for trends. Symptoms were monitored with use of a modified menstrual distress questionnaire. Analysis showed that, depending on the symptom cluster, 60.7% to 85.3% of the women showed symptom trends consistent with the syndrome, 14.0% to 35.3% had trends not typical of the syndrome, and in 0% to 5.3% of records significant trends were absent. Since over 80% of the women were found to have premenstrual syndrome trends for three or more of the six symptom clusters studied, including 32% who showed this trend pattern for all symptoms, a retrospective history of premenstrual syndrome is likely to be confirmed on prospective assessment for at least some symptoms. Quantitatively women who fulfilled the diagnostic criteria for premenstrual syndrome differed from those who did not by exhibiting significantly greater exacerbation of symptoms premenstrually and lesser morbidity postmenstrually. While water retention, negative affect, and pain were the three symptom clusters associated with the most severe ratings, the majority of women suffered from a mixture of physical, psychological, and behavioral complaints, and it was not possible to subdivide the study group by the type of symptoms.

摘要

采用Trigg趋势分析技术,对150名有确凿经前综合征病史且未接受治疗的女性的每日症状记录进行了定性和定量研究。使用改良的月经困扰问卷对症状进行监测。分析表明,根据症状群的不同,60.7%至85.3%的女性症状趋势与该综合征相符,14.0%至35.3%的女性症状趋势不具有该综合征的典型特征,0%至5.3%的记录中无显著趋势。由于超过80%的女性在研究的六个症状群中有三个或更多出现经前综合征趋势,其中32%的女性所有症状均呈现这种趋势模式,因此经前综合征的回顾性病史在至少某些症状的前瞻性评估中可能会得到证实。在数量上,符合经前综合征诊断标准的女性与不符合标准的女性不同,前者经前症状明显加重,经后发病率较低。虽然水潴留、消极情绪和疼痛是与最严重评分相关的三个症状群,但大多数女性同时存在身体、心理和行为方面的多种不适,无法根据症状类型对研究组进行细分。

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