Transcript Premenstrual syndrome and its effect on quality of life of

Premenstrual syndrome and
its effect on quality of life
of preclinical medical students
Tenzin Thoesam
Chinawat Phumchaisak
Fasinee Arunrodpanya
5th Year Medical Students, Faculty of Medicine Naresuan University Hospital,
Naresuan University, Thailand
Abbreviation
 PMS: Premenstrual syndrome
 WHOQOL: World Health Organization – Quality of life
 QOL: Quality of life
 PSST: Premenstrual Syndrome Screening Tool
 BMI: Body Mass Index
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.
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.
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.
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.
Results
 Basic information data
 Symptoms of PMS
 Quality of Life
 PMS and its associated data
Basic information data
Table – 1 Age, Body weight, Height, BMI, Menarche
Risk factors
Age
Body weight (kilograms)
Height (centimeters)
Body mass index (kg/m2)
Menarche(years)
Min
17
35
149
14.57
10
Max
30
76
176
30.83
16
Mean
20.75
51.55
161
19.89
12.68
SD
3.35
7.17
0.05
2.38
1.27
Basic information data
Table – 2 Exercise, Caffeine, Alcohol beverage, Family history of PMS
General and Gynecologic data
Numbers
Percentage
96
51.06
62
48.94
71
37.77
117
62.23
1
0.53
187
99.47
104
55.32
84
44.68
Exercise
ํ
Yes
No
Caffeine
ํ
Yes
No
Alcohol consumption(more than 1 time / week)
ํ
Yes
No
Family history
ํ
Yes
No
Symptoms of PMS
Symptoms of PMS
Symptoms of PMS
Table – 5 The prevalence of PMS
Severity
No symptoms to mild symptoms
Moderate to severe symptoms
Numbers Percentage
43
22.87
145
77.13
Quality of Life
Table – 6 Quality of Life
Quality of Life
Poor
Neither poor nor good
Good
Numbers Percentage
0
0.00
88
46.81
100
53.19
Quality of Life
Table – 7 The quality of life divided in each part
Part
Numbers
Percentage
96
51.06
92
48.94
71
37.77
117
62.23
1
0.53
187
99.47
104
55.32
84
44.68
Physical
ํ
Poor
Not poor
Psychological
ํ
Poor
Not poor
Social
ํ
Poor
Not poor
Environmental
ํ
Poor
Not poor
Quality of Life
Table – 8 The quality of life score divided in each part.
Part
Over view part
Physical part
Psychological part
Social part
Environmental part
Min
68
15
14
6
16
Max
127
30
30
15
39
Average
95.97
22.09
22.70
11.49
28.30
SD
11.15
2.98
3.12
1.63
4.24
The Association of PMS
and Quality of Life score
Quality of Life score
No symptoms to mild symptoms
Moderate to severe symptoms
97.50
10.87
95.72 – 99.29
0.0005
90.81
10.66
87.53 – 94.09
0.0005
22.63
2.85
22.16 – 23.10
0.0000
20.28
2.71
19.44 – 21.11
0.0000
Over view part
Mean
SD
95% Confidence Interval
P-Value
Physical part
Mean
SD
95% Confidence Interval
P-Value
The Association of PMS
and Quality of Life score
Quality of Life score
Not have symptom to mild symptoms
Moderate to severe symptoms
23.10
2.93
22.62 – 23.58
0.0013
21.37
3.38
20.33 – 22.41
0.0013
11.65
1.58
11.39 – 11.91
0.0175
10.98
1.71
10.45 – 11.50
0.0175
Psychological
Mean
SD
95% Confidence Interval
P-Value
Social
Mean
SD
95% Confidence Interval
P-Value
The Association of PMS
and Quality of Life score
Quality of Life score
Not have symptom to mild symptoms
Moderate to severe symptoms
28.63
4.29
27.92 – 29.33
0.0537
27.21
3.92
26.00 – 28.42
0.0537
Environmental
Mean
SD
95% Confidence Interval
P-Value
The association of risk factors and
moderate to severe symptoms of PMS
95%
Risk factors
Odds Ratio Confidence
Interval
Age
0.95
0.85 – 1.07
BMI
0.94
0.80 – 1.10
Menarche
0.85
0.63 – 1.14
Exercise
0.88
0.43 – 1.79
Caffeine
1.26
0.62 – 2.58
Family history of PMS
2.20
1.06 – 4.58
P - Value
0.387
0.434
0.272
0.721
0.518
0.035
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.
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.
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.
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.
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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