title: Prevalence of premenstrual syndrome and premenstrual dysphoric disorder among college students of Bhavnagar, Gujarat.
abstract: BACKGROUND
  Premenstrual dysphoric disorder (PMDD) is a severe form of premenstrual syndrome (PMS) characterized by mood changes, anxiety, and somatic symptoms experienced during the specific time of menstrual cycle. Prevalence data of PMS and PMDD is sparse among college girls in India.
  
  
  OBJECTIVE
  The aim of this study is to study the prevalence of PMS and PMDD among college students of Bhavnagar (Gujarat), its associated demographic and menstrual factors, to rank common symptoms and compare premenstrual symptom screening tool (PSST) with Structured Clinical Interview for DSM-IV-TR defined PMDD (SCID-PMDD) for sensitivity and specificity.
  
  
  METHODS
  A cross-sectional survey was done in five colleges of Bhavnagar. Of 529 subjects approached, 489 college girls were finally analyzed for sociodemographic data, menstrual history, and PSST. SCID-PMDD was applied among those who were positive on PSST and 20% of those who were negative. The data were analyzed using OpenEpi Version 2. Chi-square test was done for qualitative variables and analysis of variance for quantitative variables. Sensitivity, specificity, and predictive values were calculated for PSST.
  
  
  RESULTS
  The prevalence of PMS was 18.4%. Moderate to severe PMS was 14.7% and PMDD was 3.7% according to DSM IV-TR and 91% according to International Classification of Diseases, 10(th) edition criteria. The symptoms commonly reported were "fatigue/lack of energy," "decrease interest in work," and "anger/irritability." The most common functional impairment item was "school/work efficiency and productivity." PSST has 90.9% sensitivity, 57.01% specificity, and 97.01% predictive value of negative test.
  
  
  CONCLUSIONS
  Prevalence of PMS among college students is similar to other studies from Asia. PSST is a useful screening tool for PMS, and it should be confirmed by more specific tool as by SCID-PMDD. Routine screening with PSST can identify college girls who can improve with treatment.
authors.affiliation: Department of Psychiatry, Government Medical College and Sir Takhtsinhji General Hospital, Bhavnagar, Gujarat, India.
authors.forename: Chintan Madhusudan
authors.initials: CM
authors.lastname: Raval
authors.affiliation: Department of Psychiatry, Government Medical College and Sir Takhtsinhji General Hospital, Bhavnagar, Gujarat, India.
authors.forename: Bharat Navinchandra
authors.initials: BN
authors.lastname: Panchal
authors.affiliation: Department of Psychiatry, Government Medical College and Sir Takhtsinhji General Hospital, Bhavnagar, Gujarat, India.
authors.forename: Deepak Sachidanand
authors.initials: DS
authors.lastname: Tiwari
authors.affiliation: Department of Psychiatry, Government Medical College and Sir Takhtsinhji General Hospital, Bhavnagar, Gujarat, India.
authors.forename: Ashok Ukabhai
authors.initials: AU
authors.lastname: Vala
authors.affiliation: Department of Psychiatry, Government Medical College and Sir Takhtsinhji General Hospital, Bhavnagar, Gujarat, India.
authors.forename: Renish Bhupendrabhai
authors.initials: RB
authors.lastname: Bhatt
keywords: Premenstrual dysphoric disorder; premenstrual symptom screening tool; premenstrual syndrome; structured clinical interview for DSM-IV-TR-premenstrual dysphoric disorder