Citation Information :
Asnani M, Kunwar S, Kohli A, Ansari A, Srivastava K, Rabbani T. Premenstrual Dysphoric Disorder: Prevalence, Predictors and Challenges in Diagnosis. J South Asian Feder Obs Gynae 2019; 11 (1):44-49.
Introduction: Premenstrual syndrome (PMS) is a cluster of mood, behavioral and physical symptoms occurring during the late luteal phase of the menstrual cycle that are all relieved after the onset of menstruation. A severe form of PMS is known as a premenstrual dysphoric disorder (PMDD).
Aim and objectives: The study was aimed to assess the prevalence of PMS and PMDD among young Indian Medical undergraduate students and also to analyze predictors of PMS and PMDD in terms of health status and health-behavioral factors, family history, increased physical and mental stress, body mass index (BMI), age at menarche and duration of menstrual flow
Materials and methods: The study was conducted at Era's Lucknow Medical College between July and September 2011, a total 73 students were analyzed for with the help of premenstrual symptoms screening tool and presence and severity of PMS were assessed the results were analyzed by Chi-square test taking p value <0.05 as significant.
Results: The mean age of the students was 21.71 years with a standard deviation (S.D) of ±1.3.Mean age of menarche was 13.16 years with S.D ± 1.21 years. Analysis revealed around 97.2% of students had at least one symptom of PMS (86.3%– mild PMS; 9.6%–moderate-severe PMS). One student qualified for PMDD.
Conclusion: Premenstrual syndrome (PMS) is a common problem with young urban women which may be debilitating both at work and in interpersonal relationships in its severe form. The premenstrual screening tool is an easy and simple way of diagnosis of clinically significant premenstrual syndrome so that they can be managed appropriately improving their quality of life.
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