Elsevier

Fertility and Sterility

Volume 94, Issue 3, August 2010, Pages 1059-1064
Fertility and Sterility

Pyschological factors
The effect of premenstrual symptoms on activities of daily life

https://doi.org/10.1016/j.fertnstert.2009.04.023Get rights and content

Objective

To assess impact of premenstrual symptoms on activities of women's daily lives (ADL).

Design

Cross-sectional population-based survey.

Setting

Market research company.

Patient(s)

A total of 4,085 women aged 14–50 years recruited by random telephone digit dialing in France, Germany, Hungary, Italy, Spain, the United Kingdom, Brazil, and Mexico.

Intervention(s)

None.

Main Outcome Measure(s)

A telephone interview checklist of 23 premenstrual symptoms, sociodemographic and lifestyle variables, and ADL effects (global question and seven areas). Stepwise regression measured the effect of premenstrual symptoms and sociodemographic factors on ADL.

Result(s)

Symptoms and symptom domains (physical and mental) had similar negative effects on ADL. Activities of daily life were predominantly affected by symptom severity. Income level, age, and country also significantly affected ADL. In all, 2,638 women (64.6%) were minimally affected in ADL, 981 (24%) were moderately affected, and 454 (11.1%) were severely affected.

Conclusion(s)

Both physical and mental premenstrual symptoms have significant impact on quality of life, assessed as ADL. Up to 35% of women of reproductive age in Europe and Latin America were moderately or severely affected in ADL by cyclical premenstrual symptoms.

Section snippets

Effect of symptoms on activities of daily life

Premenstrual syndrome is characterized by many different symptoms. Do these symptoms equally affect activities of daily life (ADL), or is there a subset of symptoms with a particularly important impact? Using the same data set, we have already shown that premenstrual symptoms can be divided into two main domains and five dimensions on cluster analysis (Dennerstein et al., unpublished data). Do these domains/dimensions have the same impact on ADL? Is the relationship between symptoms and ADL

Factors associated with impact of symptoms on ADL

This section seeks to establish which sociodemographic and lifestyle variables influence the effect of premenstrual symptoms on ADL.

Clinical relevance of effect of perceived symptom severity on ADL

Not all women will experience a significant effect of premenstrual symptoms on ADL. We seek to establish whether we can statistically define mild, moderate, and severe effects.

Design

During June and July 2003, computer-assisted telephone interviews consisting of a series of questions about premenstrual symptoms were conducted with 4,085 women of reproductive age in European countries (Germany, n = 531; Italy, n = 505, France, n = 501; United Kingdom [UK], n = 500; Spain, n = 500; Hungary, n = 500) and Latin American countries (Brazil, n = 548; and Mexico, n = 500).

Institutional review board approval was not sought because this was a questionnaire survey with no

Results

A total of 4,085 women from Latin American (n = 1048) and European (n = 3037) countries participated in the study. The mean age of participating women was 31.44 years, with the majority of women being in the age groups 30–39 years (29.8%) or 20–29 years (27.5%). Brazilian and Mexican samples were characterized by a slightly younger age. French and German women had a higher education level than women in other countries. Important disparities existed in work participation, in particular the

Discussion

All premenstrual symptoms were found to have significant effects on ADL. There were no differences between the impact of physical and mental premenstrual symptoms in this regard. We have previously shown in the same data set that physical premenstrual symptoms are the most prevalent, as measured by severity, duration (number of affected menstrual cycles), or both (Dennerstein et al., unpublished data). In terms of women's assessment of overall impact of severity of premenstrual symptoms, we

Acknowledgment

The authors thank TNS Emnid (Bielefeld, Germany) for its assistance in the development of the questionnaire; and the following fieldwork agencies: OPERA (UK); PLM (France); Demoscopia (Spain); Nomesis (Italy); MASMI (Hungary); AC Nielsen (Brazil); and Analitica (Mexico).

References (13)

There are more references available in the full text version of this article.

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L.D. serves on the expert advisory board for Boehringer Ingelheim and receives speaker honoraria from Boehringer Ingelheim, Wyeth Pharmaceuticals, and Bayer Schering; P.L. serves as a regular senior consulting statistician for Merck Kgaa, Sanofi-Aventis, Ipsen, Serono, and Bayer Schering; T.C.B. receives speaker honoraria from Bayer Schering Pharma and is a grant application referee for Schering Plough; K.H. is an employee of Bayer Schering Pharma.

This study was supported by Bayer Schering Pharma, Women's Health Care, Berlin, Germany. Data were analyzed independently of the company by the first two authors.

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