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Year : 2016  |  Volume : 58  |  Issue : 2  |  Page : 164-170

Prevalence of premenstrual syndrome and premenstrual dysphoric disorder among college students of Bhavnagar, Gujarat

Department of Psychiatry, Government Medical College and Sir Takhtsinhji General Hospital, Bhavnagar, Gujarat, India

Correspondence Address:
Dr. Chintan Madhusudan Raval
52,53-1 Kala Nagar Society, Near Railway Second Underpass, Patan - 384 265, Gujarat
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0019-5545.183796

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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. Aims: 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. Materials and 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, 10th 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. Conclusion: 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.



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