PREMENSTRUAL SYNDROME AND SLEEP QUALITY AMONG PRIVATE HOSPITAL NURSES IN BANGKOK THAILAND

Abstract

Background: Premenstrual syndrome (PMS) is a recurrent disorder that occurs in the luteal phase of the menstrual cycle. The common sleep problems associated with PMS are insomnia, frequent night time awakenings, and non-restoration of sleep. Nurse is a profession of which are important for providing health care services. They are inclined to more circadian rhythms disturbance because of their working characteristic. Therefore, this study aims to explore whether Premenstrual syndrome associated with sleep quality among a private hospital nurses in Bangkok, Thailand. Method: A cross-sectional study that focused on 307 female nurse who had regular menstruation in one private hospital. The self-reported standard questionnaire was distributed to participants. Sleep quality and PMS was accessed by Pittsburgh Sleep Quality Index (PSQI) – Thai version and Premenstrual Symptoms Screening Tool (PSST) – Thai version respectively. The descriptive data were presented by mean (±standard deviation; SD), number, and percent. The associations of factors and sleep quality were analyzed by Chi-square test. Binary logistic regression was used to identify the adjusted odd ratio of PMS on poor sleep quality. Results: The mean of registered nurse age were 31.38 years (±5.35). Most of them were single (78.9%) and had normal stress level (82.9%). More than half of nurse had been working on rotating shift included nightshift (66.5%). Prevalence of poor sleep quality (PSQI>5) was more than half of them (66.5%). Less of nurses had Premenstrual Syndrome (7.7%). Physical symptoms (48.30%) and overeating/ food craving symptom (41.60%) were the highest reported symptoms of premenstrual syndrome. There was no significant associated between PMS and poor sleep quality. However, physical symptom of premenstrual syndrome was significantly increased odds of poor sleep quality (ORadjusted = 2.15; 95%CI: 1.07 – 4.31). Binary logistic regression showed almost symptoms of premenstrual syndrome were risk to poor sleep quality (OR adjusted >1) however statistical significance was not achieved. Conclusion: More than half of private hospital nurses had poor sleep quality and less of them had premenstrual syndrome. Premenstrual syndrome was not significant associated with poor sleep quality. Almost symptoms of premenstrual syndrome were predicted to risk of poor sleep quality. The results suggested that a management of nurses’ working schedule should consider on their physical activities during their luteal phase of the menstrual cycle.