Survey study, 2015
How common is PMS in Ethiopia and what factors are associated with it?
41.12% of women had PMS. It was more common in women with low income and those with a history of depression.
What they did
Community-based cross-sectional study of 321 residents of Debrebirhan Town in Ethiopia. Data collected September to November 2013 using pre-tested face-to-face questionnaires. Risk factors were analyzed using logistic regression.
What they found
41.12% had PMS. Those with income less than 400 birr were 2.766 times more likely to have PMS than those with income above 700 birr. Those with income of 400 to 700 birr were 2.684 times more likely. Those with previous depression history were 1.843 times more likely. Those with continuous hospital follow-up were 13.915 times more likely.
What it means for you
PMS is common in Ethiopia. Low income and depression are associated with higher PMS rates, though this study cannot prove they cause PMS. The high association with hospital follow-up may mean sicker people seek care. Findings may not apply to other populations.
41.12%
had PMS
2.766
times more likely with low income
1.843
times more likely with depression
About the study
- Original title
- Prevalence of Premenstrual Syndrome and Associated Factors among Debrebirhan Town, North Showa, Amhara Region, Ethiopia
- Authors
- Desalegn Asmare
- Journal
- American Journal of Psychiatry and Neuroscience
- Year
- 2015
- Study design
- Survey study
- Participants
- 321
- Open access
- Yes
- Read the paper
- doi.org/10.11648/j.ajpn.20150301.12
Original abstract
PMS or premenstrual syndrome is a condition that manifests as emotional, physical and behavioral symptoms and affects women between their late 20’s to early 40’s. The condition is marked by the symptoms 5 to 10 days prior to beginning of the period and symptoms resolve once the period begins or within 4 to 7 days. PMS is a relatively common condition and almost 75% women suffer from this condition at some point in their lives. Sometimes mood swings, behavioural changes and physical symptoms may be severe enough to affect normal life. Objectives: The aim of this study is to assess the prevalence of premenstrual syndrome and associated factors among Debrebirhan Town, North Showa, and Amhara Region, Ethiopia. Methods: a community based cross-sectional quantitative study was conducted among Debrebirhan residence. A pre-tested structured and semi structured face to face interview questionnaire was used. Data was collected from September to November, 2013 after obtaining verbal consent from the respondent. Data entry was performed by using SPPSS version 20 and analysis using logistic regression and odd ratio. Results: A total of 321 participants 41.12 % were premenstrual syndrome. Premenstrual syndrome was associated with Income less than 400 birr (AOR=2.766(1.290, 5.927)) is associated with PMS. Those with income less than 400birrs are 2.766times more likely to PMS than those who have income greater than 700birr. Income between 400-700birr (AOR=2.684(1.155, 6.236)) is associated with PMS. Those with income between 400-700birr are 2.684times more likely to PMS than their have income greater than 700birr. Previous history of depression is (AOR=1.843(1.110, 3.059)) is associated with depression. Those with Previous history of depression are 1.843times likely to develop PMS than those who have not previous history of depression. Continuous follow up in hospital (AOR=13.915(1.471, 131.674)) is associated with PMS, those with Continuous follow up in hospital are 13.915times likely to develop PMS than those who have not continuous follow up in hospital. Conclusion and recommendation: The aim of this study was to estimate the prevalence of premenstrual syndrome among Debrebirhan residence to assess the factors that are associated with PMS. From the findings of this study, it emerged that PMS is high among who participated in the study. For all the socio-demographic factors and related factors that were studied, it emerged from the findings of the study. That continuous follow up in hospital, previous history of depression and low income were statistically associated with scoring Positive to PMS.
Reproduced under CC-BY.
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