Literature DB >> 16796482

Evaluating the criteria used for identification of PMS.

Bonnie B Dean1, Jeff E Borenstein, Kevin Knight, Kimberly Yonkers.   

Abstract

OBJECTIVE: Criteria for defining premenstrual syndrome (PMS) were assessed by comparing a reference definition previously demonstrated to be associated with reduced health-related quality of life and impaired productivity with alternative definitions based on criteria stringency variations.
METHODS: Health-related quality of life data were collected from the Medical Outcomes Study Short Form-36 (SF-36) for women aged 18-64 years. Women maintained daily calendars of emotional and physical symptoms and work productivity. PMS prevalence and differences in health-related quality of life and work productivity between women with and without PMS were compared using alternative definitions.
RESULTS: Across criteria, PMS prevalence ranged from 19% to 30%. Regardless of the criteria used, PMS was associated with reductions in health-related quality of life, with Mental Components Subscale scores 5-12 points lower for women with PMS compared to those without PMS. Likewise, across definitions, women with PMS had greater work productivity impairment than women without PMS, netting 4 additional days with reduced productivity per month.
CONCLUSIONS: PMS prevalence varies based on criteria used to define illness. However, PMS is associated with reductions in health-related quality of life and work productivity impairment regardless of the criteria used.

Entities:  

Mesh:

Year:  2006        PMID: 16796482     DOI: 10.1089/jwh.2006.15.546

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  16 in total

1.  Explorative evaluation of the impact of premenstrual disorder on daily functioning and quality of life.

Authors:  Lothar A J Heinemann; Thai Do Minh; Anna Filonenko; Kerstin Uhl-Hochgräber
Journal:  Patient       Date:  2010-06-01       Impact factor: 3.883

2.  [SIPS--screening instrument for premenstrual symptoms. The German version of Premenstrual Symptoms Screening Tool to assess clinically relevant disturbances].

Authors:  D Bentz; M Steiner; G Meinlschmidt
Journal:  Nervenarzt       Date:  2012-01       Impact factor: 1.214

3.  A qualitative study on feasibility of a web-based Women's Health Portal and Information System.

Authors:  Min Yang; Mark Kosinski; Rosemarie Boulanger
Journal:  Patient       Date:  2011       Impact factor: 3.883

4.  Predictors of premenstrual impairment among women undergoing prospective assessment for premenstrual dysphoric disorder: a cycle-level analysis.

Authors:  K M Schmalenberger; T A Eisenlohr-Moul; P Surana; D R Rubinow; S S Girdler
Journal:  Psychol Med       Date:  2017-02-14       Impact factor: 7.723

5.  Menstrual Cycle Characteristics and Premenstrual Syndrome Prevalence Based on the Daily Record of Severity of Problems in Korean Young Adult Women.

Authors:  Yae Ji Kim; Young Joo Park
Journal:  J Korean Acad Nurs       Date:  2020-02       Impact factor: 0.984

6.  Core symptoms that discriminate premenstrual syndrome.

Authors:  Ellen W Freeman; Steffanie M Halberstadt; Karl Rickels; Julie M Legler; Hui Lin; Mary D Sammel
Journal:  J Womens Health (Larchmt)       Date:  2010-12-03       Impact factor: 2.681

7.  Lifestyle factors, hormonal contraception, and premenstrual symptoms: the United Kingdom Southampton Women's Survey.

Authors:  Carrie Sadler; Helen Smith; Julia Hammond; Rosie Bayly; Sharon Borland; Nick Panay; David Crook; Hazel Inskip
Journal:  J Womens Health (Larchmt)       Date:  2010-03       Impact factor: 2.681

8.  Toward the Reliable Diagnosis of DSM-5 Premenstrual Dysphoric Disorder: The Carolina Premenstrual Assessment Scoring System (C-PASS).

Authors:  Tory A Eisenlohr-Moul; Susan S Girdler; Katja M Schmalenberger; Danyelle N Dawson; Pallavi Surana; Jacqueline L Johnson; David R Rubinow
Journal:  Am J Psychiatry       Date:  2016-08-13       Impact factor: 18.112

9.  The phenomenology of premenstrual syndrome in female medical students: a cross sectional study.

Authors:  Magdy Hassan Balaha; Mostafa Abd El Monem Amr; Mohammed Saleh Al Moghannum; Nouria Saab Al Muhaidab
Journal:  Pan Afr Med J       Date:  2010-04-23

Review 10.  Suicide Risk and the Menstrual Cycle: a Review of Candidate RDoC Mechanisms.

Authors:  Sarah A Owens; Tory Eisenlohr-Moul
Journal:  Curr Psychiatry Rep       Date:  2018-10-06       Impact factor: 5.285

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.