Influence of Premenstrual Syndrome on Family, Social Life, and Work Performance

Author:

Ekholm Ulla-Britt,Bäckström Torbjörn

Abstract

Premenstrual syndrome is characterized by mental and physical symptoms that vary with different phases of the menstrual cycle. Symptoms start shortly after ovulation, increase in severity, and reach a maximum during the last five premenstrual days. After the onset of menstrual bleeding, the symptoms rapidly disappear and are usually gone within three to four days. Diagnostic procedures using prospective daily symptom ratings have recently been developed, allowing a more precise diagnosis of the cyclical mood changes and leading to a clearer picture and definition of the condition. Results from community studies show that the severity of the cyclical mood changes varies within a population of women of fertile age, from those having no cyclical mood changes to those severely handicapped by the symptoms for 14 days of the month. The severity assessment of subjective symptoms is difficult since severity is difficult to compare among individuals. In this article the authors review the different approaches to estimating severity of premenstrual syndrome and compare the different approaches with approaches used for other conditions with subjective symptoms. Two possible approaches are discussed in detail. One measures symptoms by counting the number of days with and without symptoms. The other estimates how much the symptoms affect patients' family life, social life, and work performance. Differences between retrospective and prospective assessments are also discussed.

Publisher

SAGE Publications

Subject

Health Policy

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3