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SIPS – Screening-Instrument für prämenstruelle Symptome*

Die deutsche Version des Premenstrual Symptoms Screening Tool zur Erfassung klinisch relevanter Beschwerden

SIPS – screening instrument for premenstrual symptoms*

The German version of Premenstrual Symptoms Screening Tool to assess clinically relevant disturbances

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Zusammenfassung

Hintergrund

Prämenstruelle dysphorische Störungen (PMDS) und schwere prämenstruelle Syndrome (PMS) treten häufig auf, bleiben jedoch oft unerkannt und unbehandelt. Begünstigt wird dies durch das Fehlen eines entsprechenden deutschsprachigen Screening-Instruments. Ziel dieser Studie war es, das englischsprachige Premenstrual Symptoms Screening Tool (PSST) ins Deutsche zu übertragen und seine Anwendung zu prüfen.

Material und Methoden

Die deutschsprachige Version des PSST wurde als „Screening-Instrument für prämenstruelle Symptome“ (SIPS) erstellt und ihre Güte an 47 Frauen mit und ohne PMDS/schwerem PMS internetbasiert mittels täglichen Symptomeinschätzungen bestimmt.

Ergebnisse

Die Retest-Reliabilität des SIPS betrug r=0,69, das Cronbachs α 0,924. Als Validitätsmaß des SIPS zeigten sich signifikante Unterschiede zwischen Frauen mit und ohne PMDS/schwerem PMS, bestimmt durch das SIPS, bezüglich prospektiv erfasster prämenstrueller Symptomatik (F[2,44]=4,52, p<0,001) und Symptomveränderung (F[2,44]=25,23, p<0,001).

Schlussfolgerung

Das SIPS ist reliabel und valide und kann helfen, Frauen mit behandlungsbedürftigen prämenstruellen Beschwerden zu identifizieren.

Summary

Background

Premenstrual dysphoric disorder (PMDD) and severe premenstrual syndrome (PMS) are common, yet often remain unrecognized and not adequately treated. One reason for this is the lack of a valid German screening instrument. The aim of the present study was to create a German version of the English“Premenstrual Symptoms Screening Tool (PSST)” and to verify its applicability.

Material and methods

The German version of the PSST was created as“Screening-Instrument für prämenstruelle Symptome (SIPS)” and its reliability and validity determined based on data from 47 women with and without PMDD/severe PMS using Internet-based daily symptom ratings.

Results

The retest reliability of the SIPS was r=0.69, and Cronbach’s alpha was 0.924. As an indicator of the convergent validity of the SIPS, there were significant differences between women with and without PMDD/severe PMS as identified by the SIPS with regard to prospectively assessed premenstrual symptomatology (F[2,44]=4.52, p<0.001) and symptom change (F[2,44]=25.23, p<0.001).

Conclusions

The SIPS is reliable and valid and may help to improve the identification of women who require treatment for their premenstrual symptoms.

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Literatur

  1. American Psychiatric Association (1994) Diagnostic and statistical manual of mental disorders. American Psychiatric Publishing Inc, Washington, DC

  2. Angst J, Sellaro R, Merikangas KR et al (2001) The epidemiology of perimenstrual psychological symptoms. Acta Psychiatr Scand 104:110–116

    Article  PubMed  CAS  Google Scholar 

  3. Bergant A, Schneider A, Tran T et al (2004) Diagnostik prämenstrueller Störungen. Dtsch Med Wochenschr 129:188–192

    Article  PubMed  CAS  Google Scholar 

  4. Budeiri DJ, Li Wan Po A, Dornan JC (1994) Clinical trials of treatments of premenstrual syndrome: entry criteria and scales for measuring treatment outcomes. Br J Obstet Gynaecol 101:689–695

    Article  PubMed  CAS  Google Scholar 

  5. Dean BB, Borenstein JE, Knight K et al (2006) Evaluating the criteria used for identification of PMS. J Womens Health (Larchmt) 15:546–555

    Article  Google Scholar 

  6. Endicott J, Amsterdam J, Eriksson E et al (1999) Is premenstrual dysphoric disorder a distinct clinical entity? J Womens Health Gend Based Med 8:663–679

    Article  PubMed  CAS  Google Scholar 

  7. Endicott J, Nee J, Harrison W (2006) Daily record of severity of problems (DRSP): reliability and validity. Arch Womens Ment Health 9:41–49

    Article  PubMed  CAS  Google Scholar 

  8. Freeman EW, Derubeis RJ, Rickels K (1996) Reliability and validity of a daily diary for premenstrual syndrome. Psychiatry Res 65:97–106

    Article  PubMed  CAS  Google Scholar 

  9. Halbreich U, Borenstein J, Pearlstein T et al (2003) The prevalence, impairment, impact, and burden of premenstrual dysphoric disorder (PMS/PMDD). Psychoneuroendocrinology (Suppl 28) 3:1–23

    Google Scholar 

  10. Hylan TR, Sundell K, Judge R (1999) The impact of premenstrual symptomatology on functioning and treatment-seeking behavior: experience from the United States, United Kingdom, and France. J Womens Health Gend Based Med 8:1043–1052

    Article  PubMed  CAS  Google Scholar 

  11. Johnson SR (1987) The epidemiology and social impact of premenstrual symptoms. Clin Obstet Gynecol 30:367–376

    Article  PubMed  CAS  Google Scholar 

  12. Kraemer GR, Kraemer RR (1998) Premenstrual syndrome: diagnosis and treatment experiences. J Womens Health 7:893–907

    Article  PubMed  CAS  Google Scholar 

  13. Mathias SD, Fifer SK, Patrick DL (1994) Rapid translation of quality of life measures for international clinical trials: avoiding errors in the minimalist approach. Qual Life Res 3:403–412

    Article  PubMed  CAS  Google Scholar 

  14. Merikangas KR, Foeldenyi M, Angst J (1993) The Zurich Study. XIX. Patterns of menstrual disturbances in the community: results of the Zurich Cohort Study. Eur Arch Psychiatry Clin Neurosci 243:23–32

    Article  PubMed  CAS  Google Scholar 

  15. Mortola JF, Girton L, Beck L et al (1990) Diagnosis of premenstrual syndrome by a simple, prospective, and reliable instrument: the calendar of premenstrual experiences. Obstet Gynecol 76:302–307

    PubMed  CAS  Google Scholar 

  16. Pearlstein TB, Halbreich U, Batzar ED et al (2000) Psychosocial functioning in women with premenstrual dysphoric disorder before and after treatment with sertraline or placebo. J Clin Psychiatry 61:101–109

    Article  PubMed  CAS  Google Scholar 

  17. Reid RL (1985) Premenstrual syndrome. Curr Probl Obstet Gynecol Fertil 8:1–57

    Google Scholar 

  18. Robinson RL, Swindle RW (2000) Premenstrual symptom severity: impact on social functioning and treatment-seeking behaviors. J Womens Health Gend Based Med 9:757–768

    Article  PubMed  CAS  Google Scholar 

  19. Steiner M, Macdougall M, Brown E (2003) The premenstrual symptoms screening tool (PSST) for clinicians. Arch Women Ment Health 6:203–209

    Article  CAS  Google Scholar 

  20. Steiner M, Steinberg S, Stewart D et al (1995) Fluoxetine in the treatment of premenstrual dysphoria. Canadian Fluoxetine/Premenstrual Dysphoria Collaborative Study Group. N Engl J Med 332:1529–1534

    Article  PubMed  CAS  Google Scholar 

  21. Steiner M, Streiner DL, Steinberg S et al (1999) The measurement of premenstrual mood symptoms. J Affect Disord 53:269–273

    Article  PubMed  CAS  Google Scholar 

  22. Sternfeld B, Swindle R, Chawla A et al (2002) Severity of premenstrual symptoms in a health maintenance organization population. Obstet Gynecol 99:1014–1024

    Article  PubMed  Google Scholar 

  23. Wittchen HU, Zaudig M, Fydrich T (1997) SKID – strukturiertes klinisches Interview für DSM-IV Achse I und II. Hogrefe, Göttingen

  24. Wittchen HU, Becker E, Lieb R et al (2002) Prevalence, incidence and stability of premenstrual dysphoric disorder in the community. Psychol Med 32:119–132

    Article  PubMed  CAS  Google Scholar 

  25. Woods NF, Most A, Dery GK (1982) Prevalene of perimenstrual symptoms. Am J Public Health 72:1257–1264

    Article  PubMed  CAS  Google Scholar 

  26. Yonkers KA, Pearlstein T, Rosenheck RA (2003) Premenstrual disorders: bridging research and clinical reality. Arch Womens Ment Health 6:287–292

    Article  PubMed  CAS  Google Scholar 

  27. Zung WWK (1996) Self-Rating Depression Scale. Selbstbeurteilungs-Skala (S). In: Scalarum CIP (Hrsg) Internationale Skalen für Psychiatrie. Beltz-Test, Göttingen, S 101–103

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Interessenkonflikte

Der korrespondierende Autor weist auf folgende Beziehungen hin:

Meir Steiner: Consultant: Wyeth Pharmaceuticals, Bayer Shering Pharmaceuticals, Astra-Zeneca, Azevan Pharmaceuticals, Servier. Grants: Canadian Institutes of Health Research, Physicians Services Inc. Research Support: Wyeth Pharmaceuticals, Astra-Zeneca, Lundbeck. Honorarium: Azevan Pharmaceuticals, Ortho-McNeil.

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Authors and Affiliations

  1. Abteilung für Klinische Psychologie und Psychotherapie, Fakultät für Psychologie, Universität Basel, Birmannsgasse 8, 4055, Basel, Schweiz

    D. Bentz &  G. Meinlschmidt

  2. Abteilung für Kognitive Neurowissenschaften, Fakultät für Psychologie, Universität Basel, Basel, Schweiz

    D. Bentz

  3. Abteilung für Klinische und Theoretische Psychobiologie, Universität Trier, Trier, Deutschland

    D. Bentz &  G. Meinlschmidt

  4. Departments of Psychiatry & Behavioural Neurosciences and Obstetrics & Gynecology, McMaster University, Hamilton, Ontario, Kanada

    M. Steiner

  5. Women’s Health Concerns Clinic, St. Joseph’s Healthcare, Hamilton, Ontario, Kanada

    M. Steiner

  6. Department of Psychiatry and Institute of Medical Sciences, University of Toronto, Toronto, Kanada

    M. Steiner

  7. Nationaler Forschungsschwerpunkt „Swiss Etiological Study of Adjustment and Mental Health“ (sesam), Basel, Schweiz

    G. Meinlschmidt

Authors
  1. D. Bentz
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  2. M. Steiner
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  3. G. Meinlschmidt
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Corresponding author

Correspondence to G. Meinlschmidt.

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*© McMaster University

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Bentz, D., Steiner , M. & Meinlschmidt, G. SIPS – Screening-Instrument für prämenstruelle Symptome*. Nervenarzt 83, 33–39 (2012). https://doi.org/10.1007/s00115-010-3210-6

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  • DOI: https://doi.org/10.1007/s00115-010-3210-6

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