Archives of Women's Mental Health

, Volume 16, Issue 6, pp 531–537 | Cite as

The Iranian version of the Premenstrual Symptoms Screening Tool (PSST): a validation study

  • Fatemeh Zahra Hariri
  • Lida Moghaddam-Banaem
  • Shiva Siah Bazi
  • Amal Saki Malehi
  • Ali MontazeriEmail author
Original Article


The objective of the current study was to translate and test psychometric properties of the Premenstrual Symptoms Screening Tool (PSST) in Iran. Using a standard “forward–backward” procedure, the English version of PSST was translated into Persian. A random sample of university students aged 18 years and over completed the questionnaire in Tehran, Iran. Psychometric properties of the Iranian version of PSST were assessed by performing reliability (internal consistency) and validity analyses [Content Validity Ratio (CVR) and Content Validity Index (CVI)]. In all, 925 female students took part in the study. Of these, 284 (30.7 %) had premenstrual syndrome (PMS) and 119 (12.9 %) had premenstrual dysphoric disorder (PMDD). Reliability of the PSST as measured by internal consistency was found to be satisfactory (Cronbach’s alpha coefficient, 0.93). The content validity as assessed by CVR and CVI were desirable (0.7 and 0.8, respectively). The Iranian version of PSST seems to be a reliable and valid measure of detecting PMS and PMDD in Iranian young female populations.


Premenstrual Symptoms Screening Tool Validation study Iran 


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Copyright information

© Springer-Verlag Wien 2013

Authors and Affiliations

  • Fatemeh Zahra Hariri
    • 1
  • Lida Moghaddam-Banaem
    • 1
  • Shiva Siah Bazi
    • 1
  • Amal Saki Malehi
    • 2
  • Ali Montazeri
    • 3
    Email author
  1. 1.Department of Midwifery and Reproductive Health, Faculty of Medical SciencesTarbiat Modares UniversityTehranIran
  2. 2.Department of Biostatistics, Faculty of Medical SciencesTarbiat Modares UniversityTehranIran
  3. 3.Mental Health Research Group, Health Metrics Research Center, Iranian Institute for Health Sciences ResearchACECRTehranIran

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