간호사의 내분비계 교란물질 노출, 감정노동, 동료지지가 월경전증후군에 미치는 영향

Abstract

The present study aimed to investigate the influences of exposure to endocrine disruptors, emotional labor, and coworker support on premenstrual syndrome(PMS) in nurses. This descriptive correlational study was conducted with 122 nurses working in a college hospital located in Gangwon-do, South Korea. All the nurses were premenopausal women of childbearing age, and they were under the age of 49. The participants answered self-report questionnaires, between March 22nd and March31st, 2019. This data was analyzed by t-test, ANOVA, Pearson correlation coefficient, and Hierarchical multiple regression. The statistical analysis was performed using the IBM SPSS Statistics 23.0 program. In summary, the findings of the present study are as follows. 1) The mean age of the nurses was 28.9 years old. Of these nurses, 49.2% were working in a general ward, 24.6% were in intensive care unit(ICU), 14.8% were in emergency room(ER), and 11.5% were in outpatient department(OPD). The majority of the participants (80.3%) were single. 2) For participants’ menstrual characteristics, the mean age of the first menarche was 12.95 years old. 66.4% of the participants had a regular menstrual cycle, and 36.2% had a family history of PMS. Also, 63.9% had a menorrhagia. 3) The mean PMS score of the participants was 17.01 out of 57. For the relevant factors, the mean score of the exposure to endocrine disruptors was 61.12 out of 96. The emotional labor and coworker support averaged 77.36 out of 100 and 31.71 out of 45, respectively. 4) Overall, the current study demonstrated that the correlation between the PMS score and relevant factors were significantly significant. The PMS was correlated to the exposure to endocrine disruptors (r=.44, p=<.001), emotional labor (r=.45, p=<.001), and to the support from coworkers (r=.27, p=.003). 5) In order to identify relevant factors of PMS, the present research performed hierarchical regression analysis. The results showed that the final model’s explanatory power was 38.3%, and it was statistically significant (F=11.749, p=<.001). Variables affecting PMS were identified in the order of the exposure to endocrine disruptors(β=.321, p<.001), emotional labor (β=.227, p=.001), working in ICU or ER (β=.225, p=.003), family history of PMS (β=.196, p=.009), and support from coworkers (β=.-151, p=.043). This study determined that the exposure to endocrine disruptors and emotional labor and support from coworkers had the greatest impact on nurses’ PMS. Based on these findings, further studies will be needed to develop and evaluate measures to minimize the exposure to endocrine disruptors and emotional labor in order to alleviate the PMS of nurses.