Volume 3, Issue 1, January 2015, Page: 8-14
Prevalence of Premenstrual Syndrome and Associated Factors among Debrebirhan Town, North Showa, Amhara Region, Ethiopia
Desalegn Asmare, Department of Psychiatry, Debrebirhan Referral Hospital, Ethiopia
Gezahegn Nekatibeb, Department of Paediatrics and Child Health, Debrebirhan Referral Hospital, Ethiopia
Zegeye Merhatibeb, Departement Outpatient Clinic, Debrebirhan Referral Hospital, Ethiopia
Meseret Gizachew, Departement of ICT, Debrebirhan Town ICT officer, Ethiopia
Received: Nov. 30, 2014;       Accepted: Dec. 12, 2014;       Published: Feb. 3, 2015
DOI: 10.11648/j.ajpn.20150301.12      View  2681      Downloads  227
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.
PremenPremenstrual Syndrome, Premenstrual Dysphoric Disorder, Debrebirhan Townstrual Syndrome, Premenstrual Dysphoric Disorder, Debrebirhan Town
To cite this article
Desalegn Asmare, Gezahegn Nekatibeb, Zegeye Merhatibeb, Meseret Gizachew, Prevalence of Premenstrual Syndrome and Associated Factors among Debrebirhan Town, North Showa, Amhara Region, Ethiopia, American Journal of Psychiatry and Neuroscience. Vol. 3, No. 1, 2015, pp. 8-14. doi: 10.11648/j.ajpn.20150301.12
Poromaa IS. Physiological Correlates of Premenstrual Dysphoric Disorder (PMDD). Current topics in behavioral neurosciences. 2014;21:229-43.
Cohen LS, Soares CN, Otto MW, Sweeney BH, Liberman RF, Harlow BL. Prevalence and predictors of premenstrual dysphoric disorder (PMDD) in older premenopausal women: the Harvard Study of Moods and Cycles. Journal of affective disorders. 2002;70(2):125-32.
Halbreich U, Borenstein J, Pearlstein T, Kahn LS. The prevalence, impairment, impact, and burden of premenstrual dysphoric disorder (PMS/PMDD). Psychoneuroendocrinology. 2003;28:1-23.
Wittchen H-U, Becker E, Lieb R, Krause P. Prevalence, incidence and stability of premenstrual dysphoric disorder in the community. Psychological medicine. 2002;32(01):119-32.
Perkonigg A, Yonkers KA, Pfister H, Lieb R, Wittchen H-U. Risk factors for premenstrual dysphoric disorder in a community sample of young women: the role of traumatic events and posttraumatic stress disorder. The Journal of clinical psychiatry. 2004;65(10):1314-22.
Tschudin S, Bertea PC, Zemp E. Prevalence and predictors of premenstrual syndrome and premenstrual dysphoric disorder in a population-based sample. Archives of women's mental health. 2010;13(6):485-94.
Raja SN, Feehan M, Stanton WR, McGEE R. Prevalence and correlates of the premenstrual syndrome in adolescence. Journal of the American Academy of Child & Adolescent Psychiatry. 1992;31(5):783-9.
Bakhshani NM, Mousavi MN, Khodabandeh G. Prevalence and severity of premenstrual symptoms among Iranian female university students. Prevalence. 2009.
Derman O, Kanbur NÖ, Tokur TE, Kutluk T. Premenstrual syndrome and associated symptoms in adolescent girls. European Journal of Obstetrics & Gynecology and Reproductive Biology. 2004;116(2):201-6.
Rizk DE, Mosallam M, Alyan S, Nagelkerke N. Prevalence and impact of premenstrual syndrome in adolescent schoolgirls in the United Arab Emirates. Acta obstetricia et gynecologica Scandinavica. 2006;85(5):589-98.
Marván ML, Cortés-Iniestra S. Women's beliefs about the prevalence of premenstrual syndrome and biases in recall of premenstrual changes. Health Psychology. 2001;20(4):276.
Drosdzol A, Nowosielski K, Skrzypulec V, Plinta R. Premenstrual disorders in Polish adolescent girls: Prevalence and risk factors. Journal of Obstetrics and Gynaecology Research. 2011;37(9):1216-21.
Tenkir A, Fisseha N, Ayele B. Premenstrual syndrom: prevalence and effect on academic and social performances of students in Jimma University, Ethiopia. Ethiopian Journal of Health Development. 2004;17(3):181-8.
Sadler C, Smith H, Hammond J, Bayly R, Borland S, Panay N, et al. Lifestyle factors, hormonal contraception, and premenstrual symptoms: the United Kingdom Southampton Women's Survey. Journal of Women's Health. 2010;19(3):391-6.
Erbil N, Karaca A, Kırış T. Investigation of premenstrual syndrome and contributing factors among university students. Turk J Med Sci. 2010;40(4):565-73.
Chang AM, Holroyd E, Chau JP. Premenstrual syndrome in employed Chinese women in Hong Kong. Health Care for Women International. 1995;16(6):551-61.
Heinemann LA, Minh TD, Filonenko A, Uhl-Hochgräber K. Explorative evaluation of the impact of severe premenstrual disorders on work absenteeism and productivity. Women's Health Issues. 2010;20(1):58-65.
Tabassum S, Afridi B, Aman Z, Tabassum W, Durrani R. Premenstrual syndrome: frequency and severity in young college girls. JOURNAL-PAKISTAN MEDICAL ASSOCIATION. 2005;55(12):546.
Freeman EW, Sondheimer SJ. Premenstrual dysphoric disorder: recognition and treatment. Primary care companion to the Journal of clinical psychiatry. 2003;5(1):30.
Reid RL, Yen S. Premenstrual syndrome. American Journal of Obstetrics and Gynecology. 1981;139(1):85-104.
Dickerson LM, Mazyck PJ, Hunter MH. Premenstrual syndrome. American family physician. 2003;67(8):1743-52.
Browse journals by subject