1. Tenzin Thoesam Chinawat Phumchaisak Chinawat Phumchaisak Fasinee Arunrodpanya 5 th Year Medical Students, Faculty of Medicine Naresuan University Hospital, Naresuan University, Thailand

2. Abbreviation  PMS: Premenstrual syndrome  WHOQOL: World Health Organization – Quality of life  QOL: Quality of life  PSST: Premenstrual Syndrome Screening Tool  BMI: Body Mass Index

3. Background  PMS was designated by Frank for the first time in 1931  A combination of psychological, physical and behavioral symptoms.  The severity of the syndrome can have a huge effect on the quality of life.

4. Background  Baskent University, Turkey concluded that 72.1% of their female medical students had PMS.  A report from Poland showed that 76.39% of the female population in reproductive age had PMS.  Siriraj Hospital, Mahidol University, Thailand found that 25.1% of the nurses working in the hospital had PMS.

5. Purpose  The purpose of the study was to identify the relationship between effect on quality of life and risk factors of PMS in preclinical medical students.

6. Methods  A cross sectional study.  Female Preclinical Medical Students of Faculty of Medicine, Naresuan University. 188 students  Questionnaire  Basic information data.  Severity of PMS.  A Thai version of PSST.

7. Results  Basic information data  Symptoms of PMS  Quality of Life  PMS and its associated data

8. Basic information dataBasic information data Risk factorsMinMaxMeanSD Age173020.753.35 Body weight (kilograms)357651.557.17 Height (centimeters)1491761610.05 Body mass index (kg/m 2 )14.5730.8319.892.38 Menarche(years)101612.681.27 Table – 1 Age, Body weight, Height, BMI, Menarche

9. Basic information dataBasic information data General and Gynecologic dataNumbersPercentage Exercise ํ Yes 9651.06 No6248.94 Caffeine ํ Yes 7137.77 No11762.23 Alcohol consumption(more than 1 time / week) ํ Yes 10.53 No18799.47 Family history ํ Yes 10455.32 No8444.68 Table – 2 Exercise, Caffeine, Alcohol beverage, Family history of PMS

10. Symptoms of PMSSymptoms of PMS

12. SeverityNumbersPercentage No symptoms to mild symptoms4322.87 Moderate to severe symptoms14577.13 Table – 5 The prevalence of PMS

13. Quality of LifeQuality of Life Quality of LifeNumbersPercentage Poor00.00 Neither poor nor good8846.81 Good10053.19 Table – 6 Quality of Life

14. Quality of LifeQuality of Life PartNumbersPercentage Physical ํ Poor 9651.06 Not poor9248.94 Psychological ํ Poor 7137.77 Not poor11762.23 Social ํ Poor 10.53 Not poor18799.47 Environmental ํ Poor 10455.32 Not poor8444.68 Table – 7 The quality of life divided in each part

15. Quality of LifeQuality of Life Part MinMax Aver age SD Over view part 6812795.9711.15 Physical part 153022.092.98 Psychological part 143022.703.12 Social part 61511.491.63 Environmental part 163928.304.24 Table – 8 The quality of life score divided in each part.

16. The Association of PMS and Quality of Life score Quality of Life score No symptoms to mild symptomsModerate to severe symptoms Over view part Mean SD 95% Confidence Interval P-Value 97.50 10.87 95.72 – 99.29 0.0005 90.81 10.66 87.53 – 94.09 0.0005 Physical part Mean SD 95% Confidence Interval P-Value 22.63 2.85 22.16 – 23.10 0.0000 20.28 2.71 19.44 – 21.11 0.0000

17. The Association of PMS and Quality of Life score Quality of Life score Not have symptom to mild symptomsModerate to severe symptoms Psychological Mean SD 95% Confidence Interval P-Value 23.10 2.93 22.62 – 23.58 0.0013 21.37 3.38 20.33 – 22.41 0.0013 Social Mean SD 95% Confidence Interval P-Value 11.65 1.58 11.39 – 11.91 0.0175 10.98 1.71 10.45 – 11.50 0.0175

18. The Association of PMS and Quality of Life score Quality of Life score Not have symptom to mild symptomsModerate to severe symptoms Environmental Mean SD 95% Confidence Interval P-Value 28.63 4.29 27.92 – 29.33 0.0537 27.21 3.92 26.00 – 28.42 0.0537

19. The association of risk factors and moderate to severe symptoms of PMS Risk factorsOdds Ratio 95% Confidence Interval P - Value Age0.950.85 – 1.070.387 BMI0.940.80 – 1.100.434 Menarche0.850.63 – 1.140.272 Exercise0.880.43 – 1.790.721 Caffeine1.260.62 – 2.580.518 Family history of PMS2.201.06 – 4.580.035

20. Discussion  There were 188 participants in this study, 22.8% have been found to be having premenstrual syndrome (PMS).  This study found that maternal history of PMS greatly affected in the occurrence of PMS and thereby caused an increased prevalence of PMS in our participants.

21. Discussion  Other risk factors found to be of influence on the prevalence of PMS:  Age  BMI  Age of menachy  exercise  Coffee consumption However,in this study, we found no evident relationship between PMS and these factors in our participants.

22. Discussion  PMS was found to be significantly affecting the overall quality of life score, especially,  Physical part  Psychological part  Social part  However, Environmental part was not found to be affected.

23. Conclusion  PMS affects daily life of women.  Many women pay no attention to this syndrome.  Women should know more about PMS and be given proper management.  This syndrome should be evaluated more for its causes and prevention of it will be important.

24. Acknowledgement  Professor Supasit, M.D. The Dean of Faculty of Medicine, Naresuan University, Phitsanulok, Thailand.  Non, M.D. Head of Dept. of Community Family and Occupational Medicine, Faculty of Medicine, Naresuan University, Phitsanulok, Thailand.  Surachai Dejarkom, M.D. Dept. of Obstetrics and Gynecology, Faculty of Medicine Naresuan University Hospital, Naresuan University, Phitsanulok, Thailand.  Suwit, M.D. Dept. of Community Family and Occupational Medicine, Faculty of Medicine, Naresuan University, Phitsanulok, Thailand.  Staffs of the Dept. of Community Family and Occupational Medicine.  Preclinical medical students of Faculty of Medicine, Naresuan University.

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